SREDAY

July 18th 2020, Max Verstappen qualifies 7th for the Hungarian Grand Prix. With Red Bull fighting Mercedes for the Constructor’s championship and Max fighting Lewis Hamilton and Vallteri Bottas for the Driver’s Championship, this wasn’t his best qualifying session.

July 19th 2020, during the formation lap, Max crashed his car, damaging his front wing and suspension. In the next 22 minutes, Red Bull mechanics performed an absolute miracle.

How did they do it? How did they go from a crashed car to giving Max a chance to fight for a podium in under 23 minutes? And what can we learn about incident management from one of the most demanding engineering disciplines in the world?

Principal Engineer, SRE at FanDuel/Blip.pt. MSc in Computer Science by the University of Porto. CK{AD, A, S} by Cloud Native Computing Foundation (CNCF) | Linux Foundation. {Terraform, Consul, Vault} Associate by HashiCorp. Working daily to build high-performance, reliable and scalable systems. DevOps Porto meetup co-organizer and DevOpsDays Portugal co-organizer. A strong believer in culture and teamwork. Open source passionate, martial arts amateur, and metal lover.

Fancy a peek into the crystal ball for 2025's resilience planning? Join us as we unpack the valuable lessons gleaned from Amazon's best practices and customers' experiences in 2024. We'll explore the Chaos Engineering mechanisms AWS has developed to fortify your workload's resilience. Ready to turbocharge your AWS journey? This session is your ticket to staying ahead of the curve. Don't miss this opportunity to future-proof your operations – what will you discover?

Laura Thomson is a Principal Product Manager with AWS Reliability Services and has been with AWS for 7+ years. She has worked on a variety of EC2 components, including launch templates, AMIs, and the EC2 console (i.e., front end), and recently led an early stage initiative for sustainability data exchange across supply chains. Currently her focus is on Fault Injection Service and supporting customers testing and improving their applications resilience. Laura obtained a B.S. in Mechanical Engineering from the University of Southern California and MBA from Carnegie Mellon University.

Vladislav Nedosekin is a Principal Solutions Architect at Amazon Web Services with over 20 years of experience pioneering resilience engineering and chaos testing practices in regulated industries. Based in London, he specializes in helping financial services organizations build resilient cloud-native platforms using cutting-edge technologies. He is passionate about resilience and chaos engineering, with current focus areas include implementing chaos engineering practices in serverless architectures and leveraging generative AI to enhance system resilience. Vladislav is based out of London.

Parenthood often arrives with little time to prepare. Our idea of 'good' parenting usually involves emulating others, whilst hoping we don’t do any permanent damage.

Stepping into management is remarkably similar: we emulate others, but it never feels quite right.

Fortunately, there’s a better way

Simon Copsey is a change consultant, and is on a mission to help organisations understand and unwind complex, cross-functional obstacles that get in the way of their staff, and reduce the ability to serve their customers.

Simon’s career has taken him from being a developer in the trenches to helping various organisations take pragmatic steps from a place of chaos and paralysis, to one where it becomes a little easier to see the wood for the trees.

“Platform engineering” is the art of building and managing the infrastructure that powers your applications: a mix of cloud, a handful of DevOps, a pinch of SRE, and a thick glaze of product management. While it’s “nothing new,” many organizations are just starting to practice it—and for good reason. But what happens when your platform is running on private cloud?

With around 50% of enterprise apps still running on private clouds, platform engineering for private platforms is surprisingly under-discussed. This talk dives into real-world examples and stories from large organizations tackling this challenge. The hurdles often lie in adapting platform engineering to existing IT stacks and processes—most organizations can’t simply start from scratch, nor would they want to abandon what’s currently driving revenue.

If you support your organization’s apps, platform engineering is something you’ll probably be doing soon. Come learn how your peers are navigating these challenges and share your own experiences.

Michael Cote studies how large organizations get better at building software to run better and grow their business. His books Changing Mindsets, Monolithic Transformation, and The Business Bottleneck_ cover these topics. He's been an industry analyst at RedMonk and 451 Research, done corporate strategy and M&A, and was a programmer. He also co-hosts several podcasts, including Software Defined Talk. His daily-ish newsletter is at newsletter.cote.io.

Dive into the world of serverless and explore common, costly mistakes and learn actionable tips for cutting down waste and reducing your AWS bill. Whether you're looking to cut down on CloudWatch costs or improve cost-efficiency for your serverless application, we've got some helpful tips for you.

Helpful tips to cut down on waste and reduce AWS cost, including how to keep CloudWatch costs in check, how to implement caching, how to pick the right services for your workload, how to right-size Lambda functions, and so on.

Yan is an experienced engineer who has run production workload at scale in AWS for 10 years. He has been an architect and principal engineer with a variety of industries ranging from banking, e-commerce, sports streaming to mobile gaming. He has worked extensively with AWS Lambda in production, and has been helping companies around the world adopt AWS and serverless as a consultant. Yan is an AWS Serverless Hero and a regular speaker at user groups and conferences internationally, and he is also the author of Production-Ready Serverless and co-author of Serverless Architectures on AWS 2nd Edition, both by Manning. Yan also keeps an active blog at https://theburningmonk.com.

What if the principles that make great software could transform the way we connect with people? Join Steve for an illuminating exploration of how technical expertise can unlock extraordinary human connections. Drawing from years of experience bridging the gap between technical brilliance and human interaction with his clients, this talk reveals the surprising parallels between writing good code and building meaningful relationships. Through interactive demonstrations and real-world examples, you'll discover a powerful framework for turning everyday conversations into opportunities for innovation. Whether you're a software engineer, technical leader, or anyone working at the intersection of people and technology, this talk will forever change how you think about the architecture of human connection. The next frontier in technology isn't about writing better code – it's about mastering the human protocol.

Steve Wade founded The Cloud Native Club, a global community for cloud-native enthusiasts. He is also a maintainer of the Flux Terraform Provider. As an experienced conference speaker, independent cloud-native consultant, and trainer, Steve shares his expertise worldwide. He has held platform leadership roles across various industries, including real estate, gaming, fintech, and the UK Parliament. With a BSc in Computer Science, Steve is passionate about cloud-native software development and distributed computing.

My colleagues were right to recommend L. David Marquet's "Turn the Ship Around" as a good read for software team leaders. I encourage you to read it too, with my key takeaways and how they apply to software.

1) Fix the environment, not the people

We've got a lot to learn from other engineering fields like aviation (when is the last time you've heard them blame the pilots?). Software teams struggle with burnout and disengagement. Should people pay more attention to self-care, like sleep, exercise, nutrition, and different types of rest? Absolutely. But we also have work to do on the "management by fear" front, clarity of expectations, recognizing consistent incremental improvements over time, and encouraging initiative but not heroics.

“The way you see people is the way you treat them, and the way you treat them is what they become.”

2) Move authority to information

I used to dread status reports, until I ended up the one asking for them. However, I prefer to work at a higher level of abstraction—give people clear goals, autonomy, and support—not just tasks and deadlines. I wonder how many people played strategy games like Civilization and try to centrally manage teams the same way. For me, that level of micromanagement is frankly boring.

I know I can accomplish more when capable people make their own decisions based on their experience, and we work on honing those systems—diving into details as necessary—rather than reacting to problems, jumping from one crisis to another.

The book offers numerous insights on how to safely and gradually delegate—and I'll share my experiences with that in software.

3) Focus on pursuing excellence rather than avoiding mistakes

Action needs a positive goal to pursue, while avoidance leads to inaction, apathy, and perfectionism. A team in survival mode is not going to perform well. And the best way not to make a mistake is not to do anything or make any decisions. Although latent defects and demands from the business don't really make that a viable option either.

How often do we neglect to celebrate success, see a problem with any solution, or denigrate incremental improvements even though they do add up over time? How often do leaders themselves have overwhelming workloads trying to keep things from falling apart? A capable team proud of their work solves these issues and more. I'll show you how the positivity, drive, and attention to quality in Chrome shaped my thinking and results.

“If you want to build a ship, don’t drum up the men to gather wood, divide the work, and give orders. Instead, teach them to yearn for the vast and endless sea.” ```

Pawel Hajdan is an Ex-Google Tech Lead, with over a decade of experience in the industry. Developed key dev infrastructure pieces during rapid growth of Chrome, from a small team to thousands of engineers and hundreds patches per day. Launched services from a proof-of-concept to production at Google Cloud's scale, exceeding rigorous security and scalability requirements, making those services easy to operate. Pawel champions the principles of straightforward, reliable engineering, and fosters a rational and productive culture.

I'm a member of a platform team that managed to change 3 service mesh solutions during the past 7 years. We did it seamlessly for other 1,500 engineers that work at Avito; our solution manages over 3,000 microservices and > 3 mln RPS. I will share difficulties and lifehacks how we achieved that.

Over the past seven years, our team at Avito has operated two self-implemented service meshes before completing a two-year migration to Istio. Today, our service mesh supports over 3,000 services across dozens of Kubernetes clusters, processing millions of requests per second. This solution is maintained by a single team, while more than 1,500 developers seamlessly work without needing to understand the internals of the service mesh or write Kubernetes manifests. This talk will delve into: - Our two-year journey migrating from one service mesh to another. - Challenges in organizing ingress communication rules. - Accelerating the adoption of Mutual TLS (mTLS) and service authorization. - Testing changes within a service mesh. - Should developers be aware of the service mesh? How we’ve made it transparent to them. - The new possibilities and advantages unlocked by adopting a service mesh. - What can you expect from a service mesh at scale, and how can you choose the right one?

Igor works at Avito, the largest classified advertisement website (MAU over 50 million).

A Platform Engineer who is strongly interested in Kubernetes, observability tools, service meshes, and other modern cloud-native approaches.

Before working as a software engineer, Igor studied distributed systems and participated in ACM competitions.

Today there are thousands of AI and SaaS Services out there and are used throughout your businesses. This session will explain What, Why and How platform teams need to productise their external AI and SaaS Providers to provide flexibility and control of these external applications.

These AI and SaaS Providers are accessed with APIs and by managing them in a centralised platform you can share the same advantages of managing your internal APIs. These advantages include • Track the Spend (and usage) from one central location for all External Services • Protect data exposure • Understand SaaS to SaaS communication • Consistency • Minimise security exposures • Controlled Self Service on boarding and credential management. • Centralised Caching

This session will go through the What, Why and How of this, and how it can be done with tools already available.

As an Integration SME Chris has travelled the world working with clients on how to utilise APIs and how to ensure they are are following the best strategies to support both internal and external consumers.

Tired of DBaaS lock-in? Divine explores Sovereign DBaaS, a model putting you back in control. Learn how to build your own private DBaaS with Dapr, overcoming compliance and licensing headaches. Gain insights from real-world feedback and design considerations.

DBaaS has existed for over a decade. Since Amazon launched its Relational Database Service (RDS) in 2009, it has become one of its most popular services, and the other cloud providers followed suit. Managed DBaaS services are popular because databases are complex at scale, requiring specialized knowledge, and there is a shortage of experienced DBAs.

Though RDS and the like make managing databases easier, they create new problems ranging from data compliance issues and license instability to vendor lock-in. Hence, sovereignty is needed, not just for the data, but for its stack – infrastructure and tooling.

Divine will start this talk by elaborating on the critical problems with traditional DBaaS today, introducing the concept of Sovereign DBaaS and its benefits.

After that, Divine will discuss the actual building of a private DBaaS using Dapr, from the fundamental points you need to consider to system design considerations and what a provisional architecture will look like when developed.

Finally, Divine will wrap up by sharing feedback on building a private DBaaS from the CNCF DBaaS community and talking to database decision makers in organizations.

Divine Odazie is a Technology Evangelist at Severalnines with over 5+ years of experience in Technology and a track record in Backend Engineering, DevOps, Cloud Native and Developer Relations on a global scale. He has given talks/workshops at developer conferences like Open Source Summit Europe, KubeCon North America, Cloud Native Rejekts, and Ansible Contributor Summit.

The goal of this talk is to show the source of information many tools use to display process information. I will go through the most interesting files in the /proc filesystem and show what information is there, along with standard tools for displaying this information. This comes in handy when you don't have permission to install extra tools or tools that do not exist yet. I will also show the most common use cases: restoring binaries deleted by accident or intentionally, restoring deleted log files, finding disk space leaks, debugging process limits and environment variables, and many more.

Aivars Kalvāns is a FinTech developer, software architect, and consultant. He spent more than 18 years at Tieto developing and architecting payment card software for acquiring and issuing, accounting and utility payments through mobile phones, ATMs, and POS terminals. At the moment he is a contractor for Ebury exploring the Foreign Exchange area of the FinTech landscape.

This session delivers critical insights into leveraging Kubernetes Operators in the data space. I'll cover the Kubernetes operator pattern, KubeBuilder, data governance, how we built our connector ecosystem, and many more.

Building a data streaming platform that can scale with your organization while maintaining developer productivity is challenging. In this talk, I'll unpack the architectural decisions and engineering challenges of building a cloud-native streaming platform from scratch using Kubernetes Operators. Through this journey - from initial design to production scale, we'll explore transforming the operator pattern into a foundational piece of our data infrastructure, powering thousands of streaming workflows daily. Beyond the technical implementation, I'll share insights about building developer experiences that scale. We will cover the architectural patterns used and the extensible connector ecosystem that enabled our platform to handle millions of daily events without changing its core design.

Elad Leev is a Staff Engineer and open-source enthusiast with over 10 years of experience managing complex production systems. He has expertise in distributed systems, databases, and data streaming technologies. Elad is using Kafka in production since 2016, and he is a strong advocate for data streaming solutions, particularly with technologies like Kafka, Flink, Debezium and Kafka Connect.

Pepr simplifies Kubernetes operations by consolidating admission controllers and operators into one lightweight framework. Enforce global security postures, leverage a full-fledged programming language, and offload operational expertise into code. Pepr makes administering Kubernetes clusters easy!

Think of Pepr like a mix between Operator-SDK and Kyverno/OPA Gatekeeper. It has a fresh take on building Kubernetes controllers with extremely simple interfaces. It takes no time to be up and running in the cluster automating away tasks that would have taken hours. The only requirement is a Kubernetes Cluster.

Casey is currently a lead software engineer focused on the hybrid cloud around Kubernetes. I solve problems in distributed systems. I love to chat and talk with people.

Accelerate your CI workflows with vCluster—create lightweight, on-demand Kubernetes clusters for faster testing and development, reducing build times and overhead while supporting CRDs for production-like environments.

Continuous Integration (CI) workflows often encounter bottlenecks when testing Kubernetes applications. Traditional methods of building and tearing down full clusters, whether locally or in the cloud, can be both time-consuming and resource-intensive. vCluster, an open-source virtual cluster solution, offers a game-changing alternative by enabling lightweight Kubernetes clusters to be created on demand and quickly This talk will guide you through integrating vCluster into your CI pipelines and the benefits you get from it. Virtual Cluster enables rapid application testing in production-like environments, including support for custom resource definitions (CRDs) without the overhead of traditional cluster setups. By the end of this session, you'll be equipped to reduce build times, accelerate testing cycles, and enhance the overall developer experience, as your clusters will take less time to build and you will have more time to test.

Hrittik is currently Platform Advocate at Loft Labs and a CNCF Ambassador, who has previously worked at various startups helping them scale their content efforts. He loves diving deep into distributed systems and creating articles on them and has spoken at conferences such as Open Source Summit Vienna, SREDays London, Azure Cloud Summit, UbuCon Asia and Kubernetes Community Days - Lagos and Chennai among others! His best days are when he finds ways to create impact in the communities he’s a part of either by code, content, or mentorship!

Building an event-driven system is the easy part. You build producers that produce messages and consumers that consume messages, and you leverage managed services as the message channels between your systems. But what does this mean for your operations? The things that keep your systems online, your users delighted, and your pager quiet at 3 am.

In this session, you'll gain practical knowledge you can apply when building and operating event-driven systems. You'll learn how to test systems that prioritize asynchronous communication, evolve them over time, and, most importantly, observe them and recover from failures when things go wrong. This session will walk through the software development lifecycle for an actual application, and it includes the theory behind the different practices and practical things you can take away and implement in your architectures.

James Eastham is a Serverless Developer Advocate at Datadog. He has over 10 years experience in software, at all layers of the application stack.

He has worked in front-line support, database administration, backend development and with everything from startups to some of the biggest companies in the world architecting systems using AWS technologies.

James produces content on YouTube, focused around building applications with serverless technologies using .NET, Java & Rust.

Let’s journey back to the basics and explore the fascinating realms of emulation, virtualization, and containerization. Together, we’ll uncover how these three pillars revolutionized the technical landscape and continue to drive innovation today.

While we often discuss advanced tools and cutting-edge solutions, it's essential to occasionally return to the basics and revisit the foundational knowledge that underpins the entire DevOps and cloud ecosystem. My talk focuses on the three pillars that revolutionized these fields: emulation, virtualization, and containerization. These are technologies we all rely on, yet many users only scratch the surface of understanding them - I want to be the person who keeps the basics in good shape, because our journey to the highest peaks of the technical world begins with a strong foundation!

Senior Software Engineer who loves to spread knowledge around the world—and has a passion for dancing the Charleston!

DevOps has many benefits for software eng, but is rarely talked about outside of that context. In this talk we’ll explore why DevOps is not a purely technical endeavour, what it means to apply DevOps across the whole organisation, and how you can use these ideas to deliver change where you work.

DevOps is one of those terms whose meaning varies greatly depending on the background, job role, and lived experience of those being asked, but most people would agree that it is something that applies to the development and operation of software. But at some point, DevOps outgrew this simple coming together, and so we combined other functions to get terms like ‘DevSecOps’, ‘DataOps’, ‘MLOps’ and so on. All these terms are, however, too simplistic to capture the actual essence of DevOps and the ways of working that have developed around it. However, there is no reason that these principles should only be applied to the development and operation of digital products and services. They can actually be applied across organisations as a whole to create ‘The DevOps Organisation’. This talk explores how DevOps principles can be taken and applied outside of the context of software development to provide better outcomes, both internally, and externally, for an organisation.

Mark has over 15 years experience in software engineering, working across the SDLC starting out as a software engineer and later transitioning into DevOps and Cloud focused roles. He has been leading Communities of Practice for around 5 years and has worked with numerous technology stacks and across a wide range of industries, including Healthcare, FinTech, and Logistics. He has worked as an AWS consultant to some of the biggest Financial and Insurance firms in the U.K. and is now the DevOps Practice Lead at RiverSafe. In this role he is responsible for leading and building a highly skilled team of DevOps experts, delivering expert services and exceptional outcomes for customers. Mark is especially passionate about serverless technology and sustainability.

Databases power nearly every cloud-native application, yet they remain one of the most overlooked components in platform engineering. While advancements in Operator development have made managing stateful applications on Kubernetes more feasible, database schema management still lags behind.

This talk uncovers the critical gaps that application developers face in database schema management—gaps that hinder productivity, increase operational risk, and complicate DevOps processes. We’ll explore how integrating schema management into developer platforms can bridge these gaps, enabling teams to treat database changes as a seamless part of their workflows.

We’ll demonstrate how to use Operators to create a unified experience for managing database schema migrations that align with cloud-native principles.

Rotem Tamir, father of two. Co-founder and CTO of Ariga, creator of atlasgo.io

In this talk, we’ll explore how we revolutionized our SLO practices by introducing User Objectives—customer-experience-focused metrics that transcend individual services. This approach transformed our SRE function from a traditional embedded model to a centralized Application SRE team, fostering collaboration with product and engineering teams across the organization.

We'll share how we:
- Collaboratively defined User Objectives with PMs and Engineering Leaders.
- Mapped dependencies across services and datastores to create a robust dependency graph.
- Built SLOs centered on User Objectives, with secondary metrics for individual services.
- Established effective processes like weekly SLO reviews for product teams and monthly Production Reviews with senior leaders.
- Introduced meaningful alerting using error budgets and burn rates.
- Developed an SLO framework that automates dashboards, monitors, and metrics.

This evolution redefined SRE’s role in our company, establishing a true partnership with product teams. By creating feedback loops that balance features and stability, we’ve elevated our understanding of product reliability and improved the customer experience.

Tomasz Czajka is a seasoned professional with extensive experience in DevOps, DataOps, and Site Reliability Engineering (SRE). His career spans leadership roles, automation projects, and performance optimization across high-profile organizations like Tenable, Deutsche Bank, and Citrix. Tomasz has led significant projects, including the development of scalable analytics workflows, robust CI/CD pipelines, and performance-enhancing solutions on large-scale infrastructure. His technical expertise includes Python, Bash, Docker, Kubernetes, and tools for hypervisor platforms. Tomasz is also adept at driving collaboration, implementing cutting-edge tools, and improving process efficiencies. With a strong academic foundation in IT from Wrocław University of Science and Technology and Politechnika Opolska, he embodies continuous learning and excellence in engineering practices.

Ciaran Gaffney brings over a decade of diverse experience in Site Reliability Engineering (SRE) and software development. His journey spans key roles at Tenable and Hosted Graphite, where he demonstrated expertise in designing and maintaining distributed systems, enhancing reliability, and implementing innovative solutions such as dynamic load balancing and a gRPC-based aggregation layer. At Hosted Graphite, he was integral in scaling a system that processed 160 billion data points daily while ensuring SLAs were consistently met. Notable achievements include developing Hosted Graphite's alerting feature, creating customer-facing APIs, and leading automation and hardware provisioning efforts. With a strong foundation in Python, DevOps tools, and infrastructure management, Ciaran is a skilled problem solver passionate about system scalability, performance optimization, and customer satisfaction.

Pascal Schlumpf brings extensive expertise in site reliability engineering, software development, and monitoring systems to our event. With experience spanning over a decade in leading organizations such as Tenable and AT&T, Pascal has honed his skills in automation, monitoring integration, and reducing MTTR through innovative solutions. From building exporters for Prometheus and Grafana to integrating systems with AppDynamics and Splunk, Pascal has demonstrated a commitment to advancing observability and system reliability. We're excited to have him share his insights and practical approaches at the conference.

We work in the IoT space at Electrolux Group, leader in Home Appliance industry, scaling from 10 to 300 developers with just 5 Ops engineers in 4 years. Along the way, we faced challenges in promoting SRE principles to development teams. This led us to transition from SRE to Platform Engineering. In this talk, we’ll share how we built an Internal Developer Platform (IDP) integrated with our cloud and toolchains, embedding SRE principles into its foundation. This platform enables developers to autonomously create and manage infrastructure and services while adhering to best practices and security standards. This newfound autonomy boosted developer productivity, enabling them to spin up new regions in a single day, rather than relying on approval processes. In this talk, we'll discuss Electrolux's journey from a traditional SRE model to platform engineering. We'll cover the challenges they faced with their initial SRE model, including scalability and a lack of self-service capabilities for developers. We'll then delve into how they addressed these challenges by automating common requests, moving workload to SaaS solutions, and building an internal developer platform. Finally, we'll explore how they open-sourced their developer platform, making it available to the wider community

Kristina Kondrashevich is SRE Product Manager at Electrolux. In my life, I have been responsible for writing code, managing teams, and improving delivery processes. Today, as a PM, I support my Platform team to bring traditional product management practices into our way of working. My primary objective is to prioritize the satisfaction of developers within my organization, viewing them as consumers and striving to enhance their overall experience. I like to read and have a profound love for lifelong learning. Exploring new ideas, concepts, and perspectives is something that truly ignites my curiosity.

Gang Luo has spent over six years building and leading distributed teams, introducing Chaos Engineering, and adopting cloud-native and SRE best practices to enhance service reliability and scalability. His tenure at Salesforce included designing large-scale automated testing and deployment platforms, saving significant resources while maintaining exceptional system performance and availability. Gang holds a Master's in Software Engineering and Management from Linköping University and has earned multiple awards for his technical contributions and innovation.

What does it take to design and launch a DevOps platform capable of running alien code—written by both users and AI—fast, securely, and at scale? This talk dives deep into the journey of creating Triform, a platform redefining DevOps for a new era of AI-driven development.

You’ll learn how we:

• Tackled the challenges of hyper-scalability while maintaining security.
• Combined WASM, containerless execution, and hybrid isolation methods to support diverse workloads.
• Built a system that empowers developers to orchestrate modular workflows and iterate in real time.

Through real-world insights, I’ll share how we transitioned from concept to launch—crafting a platform designed to support complex, dynamic workflows written by humans and AI alike.

Whether you're an engineer building scalable systems, a founder dreaming of your next big idea, or just someone intrigued by cutting-edge technology, this session will provide inspiration, practical takeaways, and a fresh perspective on what DevOps can be in the age of AI.

Join me for a story about innovation, challenges, and how Triform was built to empower the next generation of developers.

Iggy Gullstrand is the CEO and co-founder of Triform, a pioneering platform for building, deploying, and orchestrating large-scale AI agents tailored to meet today’s dynamic production demands. Iggy and Josef Nilsen are currently out on a road trip through Europe with a tiny campervan visiting events and building the platform while meeting up with developers from all over the world.

In a world increasingly defined by complex technology and rapid innovation, it is easy to focus entirely on the technical aspects of success. Yet, the most advanced cloud infrastructure, the most cutting-edge tools, and the most sophisticated algorithms are only as effective as the people behind them. The truth is, it is not just the technical expertise that drives successful cloud initiatives; it is the ability to communicate, collaborate, and build trust that truly sets teams apart. In this talk, I will explore why the human side of the cloud is often the missing piece in achieving transformational success.

The cloud is not just a technical platform; it is a shared space where people, ideas, and goals converge. Whether you are working on a multi-cloud strategy or deploying serverless applications, success hinges on the ability of individuals and teams to work together seamlessly. It is about understanding diverse perspectives, breaking down silos, and fostering an environment where innovation thrives. Yet, too often, organizations overlook the importance of soft skills in favor of purely technical competencies. The result? Misaligned priorities, communication breakdowns, and missed opportunities to fully leverage the power of the cloud.

Soft skills such as empathy, active listening, and conflict resolution are not just “nice to have” in cloud projects—they are essential. Imagine a scenario where a development team and an operations team have differing priorities during a cloud migration. Without clear communication and a shared understanding, this disconnect can lead to delays, inefficiencies, or worse, failure to deliver. On the other hand, when team members can articulate their needs, understand each other's challenges, and find common ground, the result is a project that runs more smoothly and achieves better outcomes.

But soft skills extend beyond team dynamics. They are also critical when engaging with stakeholders. Whether you are pitching a new cloud initiative to executives or addressing concerns from non-technical colleagues, your ability to frame ideas in ways that resonate is crucial. It is not enough to understand the technical value of what you are building; you must also communicate its impact in human terms. The most innovative cloud solutions will fall flat if their value is not clearly articulated to those who depend on them.

This talk will also explore how soft skills can enhance leadership in cloud-focused environments. In fast-paced, high-stakes projects, effective leaders need more than technical know-how; they need to inspire, motivate, and guide their teams through uncertainty. Leadership is about creating a culture where people feel empowered to take risks, share ideas, and work together to solve complex problems. It is about fostering a sense of purpose that transcends technical goals and aligns with broader organizational values.

As organizations increasingly adopt cloud technologies, the demand for professionals with strong soft skills is only growing. Employers are looking for individuals who can not only manage infrastructure and write code but also lead conversations, solve conflicts, and drive collaboration across departments. These are the qualities that turn technical experts into invaluable team players and transformational leaders.

Soft skills also play a crucial role in bridging the gap between technical teams and end-users. Cloud technologies often bring about change, which can be met with resistance or hesitation. Professionals who can communicate with empathy and clarity help reduce friction, ensuring smoother transitions and greater adoption of cloud solutions. They can demystify the technical aspects, making the benefits of the cloud accessible and relatable to all.

This talk is for anyone who wants to unlock the full potential of their cloud projects by harnessing the power of human connection. Whether you are a cloud architect, a project manager, or an IT professional, you will leave with actionable insights on how to cultivate the soft skills that matter most. From practical tips on improving communication to strategies for building trust within teams, this session will equip you to succeed in the increasingly collaborative world of the cloud.

The human side of the cloud is not a secondary concern—it is the foundation upon which all successful cloud initiatives are built. By prioritizing soft skills, you can drive innovation, improve outcomes, and create a lasting impact in your organization. Join me for this talk and discover how the key to mastering the cloud lies not just in the technology you use but in the people who bring it to life.

Victor Onyenagubom is a dynamic Lecturer in Cybersecurity at Teesside University London, where he develops and delivers cybersecurity modules to international master’s students, fostering an engaging and inclusive learning environment.

Victor has attended the Pre-Doctoral school organized by the Max Planck Institute of Software Systems in Germany, in partnership with the University of Maryland and Cornell University. He also volunteers as a Lead IT Trainer at CodeYourFuture, where he empowers refugees and asylum seekers with digital and cybersecurity skills.

Victor is a frequent speaker at high-profile tech events, where he shares his expertise on cybersecurity and other emerging technologies. His combined expertise in cybersecurity, research, and community service positions him as a key figure in both academic and social spheres, dedicated to equipping others with the tools to navigate and secure the digital world.

As an IT Security Analyst at Pennon Group Plc, Victor performed security audits, designed cybersecurity training materials, and conducted vulnerability assessments, significantly enhancing the organization's security posture. In his role as a Research Assistant at the Nuffield Trust, he extracted, cleaned, and analyzed healthcare data, developed dashboards, and presented data-driven insights to improve NHS processes.

This talk covers a topic that's universal across any team, company and industry that deals with technology - Team Composition.

And with this talk, I bring relevant data and proven sources to the discussion to explain what the key concepts are, and why they matter so much on the outcomes delivered by any team who deals with software in any way.

During the talk, my main goals are to: - Explain the key concepts in an accessible and interesting way; - Use examples to demonstrate the concepts in practice; - Share valuable sources along the ride (books, studies, etc); - Finish with actionable points for both engineers and team leaders/managers/etc.

Throughout my 12 years tech career, I've worked on prod support, DevOps, and now leadership. I worked for companies like IBM, Luxoft, and now Pegasystems.

I lived and worked most of my life in South America, and now I'm living in Poland for some years.

These days, my focus is on Cloud, Observability, DevOps and mostly, leadership. I also hold a few certifications, including Kubernetes CKA, AWS, GCP, Scrum, and Pega Architecture.

When I'm not catching up with my Steam games backlog, I love participating in conferences, hackathons, learning new things and meeting new people.

Observability is the ability to measure the current state of a system. Backend engineers are becoming more familiar with the primary signals and technologies, such as OpenTelemetry that can be used to instrument applications and diagnose issues. Yet, in the frontend world, we're behind the curve.

Join me as I dive into the tools and techniques we can use to instrument, monitor and diagnose issues in our production frontend applications. I'll cover RUM agents, and the metrics and traces they provide, how to combine them with backend tracing for a holistic picture. We'll dive into the state of client instrumentation in OpenTelemetry and what you can do now. Finally, we'll also show how Synthetic Monitoring and alerting in Observability platforms can help us be alerted to issues impacting users in the UIs we build and maintain.

Carly is a Developer Advocate and Manager at Elastic, based in London, UK. Before joining Elastic in 2022, she spent over 10 years working as a technologist at a large investment bank, specialising in Frontend Web development and agility. She is an agile evangelist, UI enthusiast, and regular blogger.

She enjoys cooking, photography, drinking tea, and chasing after her young son in her spare time.

Kubernetes works great for stateless applications, but stateful workloads like databases or long- running jobs pose a challenge. These applications rely on persistent data and can’t afford interruptions, making Kubernetes’ “ephemeral” approach risky. Downtime can lead to data loss, inconsistencies, and system failures. That’s where live migration comes in, allowing stateful workloads to move between nodes without disruption. At Cast AI, we’ve developed Container Live Migration to automatically consolidate these workloads, ensuring continuous uptime, reducing resource fragmentation, and cutting costs. Join

Vladimir is a seasoned Solutions Architect with over 15 years of technical experience, passionate about helping customers implement solutions across cloud infrastructure, enterprise systems and emerging technologies. Working in close collaboration with engineering, product and commercial teams, he translates complex requirements into practical architectures and proof-of-concept implementations. His expertise in technology stacks and infrastructure platforms helps customers scale their applications and distributed systems effectively while meeting their unique technical challenges.

The concept of “Shift Left” has long guided developers to address issues early in the software development lifecycle (SDLC), catching bugs before they reach production. But as modern software ecosystems become more complex—with microservices, serverless architectures, and global deployments—testing alone no longer suffices. It’s time to rethink Shift Left as more than just pre-release testing—it must evolve. Traditional testing strategies like Test-Driven Development (TDD) and Behavior-Driven Development (BDD) have been invaluable, ensuring code correctness and expected behavior. However, they miss critical aspects of real-world performance, scalability, and user experience. A passing test suite can’t guarantee an application won’t crash under peak loads or degrade due to subtle performance bottlenecks. Enter observability: the missing piece in the Shift Left equation. By integrating observability practices early in the SDLC, teams gain deep, actionable insights into how applications behave in production-like environments. Metrics, traces, and logs reveal performance slowdowns, scalability constraints, and user experience hiccups long before end users are affected.

Martin McLarnon is an engineer with almost 30 years experience working in many different roles within IT. He has worked as a Network Manager, Software engineer, Cloud Architect, Engineering lead and worked as an engineering consultant before joining Coralogix.

In the cloud-native space, there is a plethora of tools available for observing Kubernetes applications & Infra. However, the choices often involve either opting for service meshes that increase architectural complexity or selecting tools with exorbitant costs. What if there was a one-stop solution that covers monitoring, tracing, and profiling seamlessly at 0 cost and minimal changes?

Join Prerit in this session as he takes you on a journey with Pixie, a CNCF sandbox offering comprehensive observability of your cluster and its workloads. Pixie enables you to monitor cluster resources, and application traffic, and delve into detailed views like pod state and flame graphs. Remarkably, Pixie achieves all this without introducing any overhead, utilizing eBPF to automatically collect telemetry data, including full-body requests and application profiles. Explore Pixie's capabilities in monitoring network activity and Infrastructure Health with Flamegraphs. Don't miss this session for a deep dive into Pixie's observability features and how it simplifies the monitoring landscape for Kubernetes applications all followed by a hands-on demo for a live application.

Prerit is working as a Software Architect, directing his expertise towards harnessing Cloud Native Technologies to design resilient architectures that can seamlessly scale in the future, all while prioritizing technical cost, security, availability and end-user experience. As the driving force behind the YouTube channel 'Tech with Prerit' and KubeCloud, an umbrella company with multiple products in the Cloud-Native Space, he envisions creating an ecosystem focused on Cloud Native Technologies.

Monitoring the behavior of a system is essential to ensuring its long-term effectiveness. However, managing an end-to-end observability stack can feel like stepping into quicksand, without a clear plan you’re risking sinking deeper into system complexities.

In this talk, we’ll explore how combining two worlds—developer platforms and observability—can help tackle the feeling of being off the beaten cloud native path. We’ll discuss how to build paved paths, ensuring that adopting new developer tooling feels as seamless as possible. Further, we’ll show how to avoid getting lost in the sea of telemetry data generated by our systems. Implementing the right strategies and centralizing data on a platform ensures both developers and SREs stay on top of things. Practical examples are used to map out creating your very own Internal Developer Platform (IDP) with observability integrated from day 1.

Eric is Chronosphere's Director Evangelism. He's renowned in the development community as a speaker, lecturer, author, baseball expert, and CNCF Ambassador. His current role allows him to help the world understand the challenges they are facing with observability. He brings a unique perspective to the stage with a professional life dedicated to sharing his deep expertise of open source technologies and organizations. More on https://www.schabell.org.

Graziano is a Developer Relations Engineer at Mia-Platform, specializing in content creation, technical evangelism, and bridging communication between users and R&D teams. He is also a recognized Green Software Champion, actively contributing to sustainable software practices. With a background in developing distributed systems and product management, Casto is an active speaker at industry events and a published author on topics like cloud-native technologies. He has previous experience as a Technical Product Owner and Software Engineer, focusing on agile practices and product management.

In our upcoming presentation, we'll explore a cutting-edge architectural solution for real-time SMS and email notifications, particularly geared towards responding to earthquake events. This system is designed to handle rapid data transmission, listening for event changes every second, making it ideal for real time critical alert scenarios. Central to our discussion will be the integration of Lambda functions and Confluent Kafka, coupled with advanced multithreading techniques and DynamoDB lock strategies. A focal point of our presentation will be addressing the challenges and innovative solutions involved in integrating Confluent Kafka with Lambda functions to enable serverless operation of both producers and consumers. This is a key element in ensuring the quick and efficient distribution of notifications through parallel methods. Additionally, we will delve into the implementation of an automated scaling mechanism, which is vital for optimising the performance of the Serverless Notification ecosystem. Our aim is to provide a comprehensive insight into how these technologies can be effectively combined to develop a robust and efficient system, capable of delivering critical real-time alerts for situations like earthquake occurrences, ultimately playing a crucial role in saving human lives.

Vlad Onetiu, a DevSecOps and Software Automation Engineer from Cluj-Napoca, Romania, is renowned for his expertise in cloud technology, cybersecurity, and software automation. Since embarking on his career in 2018, he has been instrumental in conducting security research for Romania's major banks, significantly bolstering their cybersecurity measures. Vlad has also contributed to the field through his research papers on malware and phishing, shedding light on these critical cyber threats. His proficiency in employing cloud-based solutions for system automation, combined with his skillful handling of CI/CD processes and cloud architecture, reflects his commitment to fostering secure and resilient digital environments. Known for his passion for technology and relentless innovation, Vlad stands out as a leading figure in cybersecurity, continuously exploring and implementing cutting-edge strategies to address the challenges of evolving cyber threats.

In this talk, I’ll share how focusing on business metrics, not just technical ones, can transform Site Reliability Engineering. By tracking business-centric metrics, we identified issues early and resolved them before they significantly impacted users or revenue.

Real-World Cases from Experience

• Case #1: Monitoring Orders Per Minute in an e-commerce platform helped us detect a third-party payment gateway outage early.
• Case #2: Tracking Number of Support Cases per hour revealed a failure in a canary deployment, affecting a subset of app users.
• Case #3: Monitoring Subscription Renewals exposed an issue with password recovery, impacting customer retention. Key Takeaway

SREs shouldn’t focus only on infrastructure and tech metrics. Sometimes, tracking core business metrics and spotting anomalies can uncover critical issues—often more effectively than monitoring millions of technical metrics.

Attendees will leave with practical insights and strategies to incorporate business-driven monitoring into their workflows, aligning technical operations with business success.

Mike Rykmas is a skilled software engineer with years of expertise in database administration, cloud computing, and IT infrastructure. Thanks to his strong background in data management and performance optimization, Mike has successfully led and implemented scalable solutions, managing petabytes of data to meet diverse business needs.

Imagine a self-healing system that handles surprises, letting you sleep peacefully. If that sounds appealing, chaos engineering could be the answer. Trusted by Netflix, LinkedIn, Google, and Facebook, it's key for business resilience. In this session, we'll explore its history, learn how to apply its principles to stress-test applications, and review tools for fault injection in real-world scenarios.

Agnieszka is a dedicated engineer specializing in cloud solutions, with expertise in cutting-edge technologies such as Kubernetes and Terraform. She also brings valuable insights from her experience in testing activities. Agnieszka is passionate about enhancing people’s wellbeing and promoting a healthy work-life balance. Outside of her professional endeavors, she is a sports freak, board game lover and owner of two adorable cats.

I'll start from a show of hands with some questions, move to challenge the common premise about Friday production deployment. explain the down spiral of slow deployment and WIP . and then move to discuss how we can fix it, and yes. it's an unfinished journey

Expect some mentions of the seminal Phoenix project.

Software developer. currently in Zencity.io. Writing software as a hobby and as a profession. Strong opinions on things. Likes open source. Perhaps I'd be better off being a farmer

In this talk, I will explore how to build cloud-native platforms using Kubernetes. I will discuss creating self-service portals, leveraging programmatic APIs, and automating workflows to enhance productivity and reliability. We’ll cover best practices for infrastructure management, security controls, and monitoring, essential for maintaining high availability and performance. Attendees will learn practical strategies to streamline operations and improve system resilience, aligning with the core principles of SRE to ensure robust and scalable platform development.

An active contributor to OpenSource projects on GitHub, blogger and content creator, focusing on practical, scalable solutions in cloud-native environments. DevOps and Platform Engineering practitioner and advocate. Visit: cloudrumble.net

What do dinosaurs and distributed systems have in common? Both are complex, unpredictable, and prone to catastrophic incidents without proper safeguards. In this talk, we’ll explore how the principles of Chaos Engineering could have prevented the incident at Jurassic Park. We’ll dissect critical moments where chaos exposed hidden weaknesses in the park’s systems and show how intentional experiments, fault injection, and game days could have turned a disaster into a success story.

In this talk you'll learn how embracing chaos in a controlled way can strengthen your systems, your teams, and, perhaps, your dinosaur filled theme parks.

Rob Charlwood Fractional CTO | SRE Expert | Cloud Expert | Techincal Speaker

Currently working as Lead Site Reliability Engineer at Lloyds Bank, Rob spearheads the SRE team responsible for mission-critical IBS services like Logon. He is at the forefront of transforming vital customer journeys by migrating them to Google Cloud Platform (GCP).

With nearly 20 years of engineering expertise spanning infrastructure, DevOps, SRE, software, and web development, Rob excels in designing scalable, secure, and high-performance cloud infrastructure. His portfolio boasts delivering exceptional projects for renowned organisations, including Deloitte, BBC, HMRC, Google, The FA Premier League, FIFA, UEFA, Major League Soccer, Shell, and Mars.

A seasoned cloud practitioner, Rob has deep experience with GCP, AWS, and Azure, as well as mastery of Kubernetes, Terraform, CI/CD pipelines, and programming languages like Go, Python, and JavaScript. Beyond technical prowess, he thrives in fast-paced environments, solving complex problems with creativity, adaptability, and a collaborative spirit.

Passionate about knowledge sharing, Rob actively contributes to the Open Source Community, co-organises the Django Bristol and Bath Users Group (DBBUG), and regularly speaks at local and industry events, including DevOps Bristol meet ups.

Learning how to respond effectively to incidents is hard. One of the reasons is that we never see the same incident twice. While we can learn vital lessons during and after an incident, we can’t hop into a time machine, and apply these lessons to the same incident to discover their impact. What if we could experience the same incident over and over again? What might we learn? This talk describes a ‘staged world’ experiment in which 20 incident managers separately experienced the same simulated incident affecting a fictitious e-commerce company. We discuss what we noticed that differentiated some incident responders from others, and some surprising things that we expected to see, but didn’t.

Stuart Rimell is a transformation leader at IG Group, driving operational change, enterprise architecture, and agile adoption. He leads IG’s largest efficiency program, optimizing client services. Previously, he built enterprise architecture, agile frameworks, and real-time trading platforms. He also advises startups on product management, specializing in fintech and high-performance systems.

In this talk, I present a novel, meta-operating system approach to the cloud continuum - showcasing the NebulOuS project vision and the first results that enable cloud continuum ops.

NebulOuS accomplishes substantial research contributions in the realms of cloud continuum brokerage by introducing methods and tools for enabling secure and optimal application provisioning and reconfiguration over the cloud continuum.

NebulOuS project develops a platform that seamlessly exploits edge nodes in conjunction with multi-cloud resources, to cope with the requirements posed by low latency applications. We call this kind of platform a Meta Operating System (MOS) as it works as the layer above traditional operating systems.

The NebulOuS software is published on GitHub at https://github.com/eu-nebulous under an open-source licence: Mozilla Public Licence 2.0. It extensively uses other open-source software published under permissive licences such as Apache License 2.0. Most notably, the core of deployment relies on Kubernetes, KubeVela and Knative. The solution includes the following directions of work: - Modelling methods and tools for describing the cloud continuum, application requirements, and data streams; for assuring the QoS of the provisioned services. - Efficient comparison of available offerings, using appropriate multi-criteria decision-making methods. - Addressing the security aspects emerging in the cloud continuum. - Conducting and monitoring smart contracts-based service level agreements.

Paweł Skrzypek is a seasoned technology leader with over two decades of experience in AI, cloud computing, and investment technology. Currently, he serves as the Chief Technology Officer at Omphalos Fund, where he drives innovation in investment strategies. Previously, he held the role of CEO at Omphalos Fund, overseeing investment processes. As CTO at AI Investments Ltd., he has spent seven years pioneering AI-driven portfolio optimization, leveraging machine learning and reinforcement learning techniques. With past roles at 7bulls.com, Cyfrowy Polsat, and Javart, Paweł has extensive expertise in cloud architecture, software development, and IT project management.

We think of containers as providing isolation for our applications, however a major source of performance interference remains unaddressed, significantly degrading performance. Contention for CPU caches and memory bandwidth has been shown to increase tail response times by 4-13x and reduce compute efficiency by over 25% – even with per-application CPU and memory limits in place. With current telemetry, affected applications simply show high CPU utilization, leading operators to "throw more hardware at the problem", which is expensive and ineffective at mitigating the high response times.

In this talk, we'll cover three key areas: 1. Characterize real-world triggers like garbage collection and container image decompression 2. How modern CPU features allow detecting interference and identifying noisy neighbors. 3. Practical approaches to mitigate these effects, including findings from Google and Alibaba's production environments

Finally, we'll provide a status report on our open source effort to measure memory interference and discuss future directions.

Jonathan Perry is Texas-based a maintainer of the OpenTelemetry eBPF-based network collector. He researched performance isolation in datacenter and cloud networks at MIT, then founded Flowmill, which developed an eBPF-based Network Performance Monitoring collector, now part of OpenTelemetry (the company was acquired by Splunk).

From Spot Ocean to Karpenter: adjoe's zero-downtime migration story. Learn how we switched autoscalers in production, the challenges we faced along the way, and why we built a custom controller to fix broken nodes.

Is it possible to seamlessly hand over your Kubernetes cluster from one node-autoscaler to another without causing downtime — and, more importantly, should you? In this talk, we’ll dive into how adjoe accomplished this transition, tackling challenges such as scaling test environments outside working hours, navigating the release of Karpenter V1 mid-migration, and even creating a custom controller to manage broken nodes. Join to learn about the obstacles we faced and the valuable benefits we gained along the way.

Marius, a dedicated DevOps Engineer at Hamburg’s fast-growing adtech company, adjoe. Since joining over three years ago, Marius has been on a mission to enhance the reliability and scalability of our backend — an event-driven microservice architecture written in Go and powered by Kubernetes. His passion for coding and Kubernetes doesn’t stop here. Marius also actively contributes to open-source projects, including CoreDNS and Karpenter, constantly pushing his skills and knowledge forward. When he’s not scaling systems or optimizing code, you’ll find him hosting board game nights, tackling bouldering walls, or setting off on adventures across Asia.

Zero Trust doesn't have to be intimidating. Learn how Identity-Aware Proxies transform service access from perimeter-based to continuous verification, explained through the universal experience of airport security.

Imagine if showing your ID once at airport security meant you could then board any plane, enter the cockpit, or walk into customs. Sounds absurd? Yet this is how perimeter-based security works - one check, then complete trust. Based on Google's BeyondCorp papers, this talk breaks down Zero Trust and Identity-Aware Proxies, where every access request is verified based on identity, device, and context - just as airports verify your credentials at every secure checkpoint, from airport security to boarding gates to airline lounges. Through technical concepts and the analogy of airport security, we'll explore how to implement these principles in real-world applications.

Nick is a developer advocate at Pomerium, a zero trust, identity-aware proxy platform that enables secure, clientless connections to web applications and services without a corporate VPN.

With over a decade of open source contributions and five years of professional open source experience at companies like OpenSauced, dev.to, and Netlify, he brings deep community knowledge to his work. You’ll often find him live streaming tech content, either solo or with friends from the community.

The multi-cloud era brings unparalleled opportunities for agility, scalability, and redundancy. However, it also introduces unique security and compliance challenges as organizations navigate diverse cloud platforms. This session explores how DevSecOps serves as the foundation for addressing these challenges by embedding security seamlessly into every phase of the software development lifecycle.

Attendees will gain actionable insights into implementing policy-as-code, automating security checks in CI/CD pipelines, and leveraging real-time monitoring tools to maintain consistent security standards across multi-cloud environments. Discover how integrating DevSecOps principles can mitigate risks, reduce compliance violations by up to 40%, and accelerate development cycles by 25%.

Through real-world case studies, the presentation will address pressing concerns, including overcoming cross-platform security discrepancies, preventing vendor lock-in, and ensuring adherence to global regulations like GDPR and HIPAA. Participants will leave equipped with strategies to enhance operational efficiency, safeguard applications, and drive successful digital transformations in their organizations.

This session is an essential guide for SREs, developers, and leaders looking to secure applications while maximizing the potential of a multi-cloud strategy.

Vamsikrishna Anumolu is a seasoned Engineering Leader with over 15 years of experience in DevOps, Site Reliability Engineering (SRE), and Cloud Solutions Architecture. Holding a Master of Science in Computer Engineering from Syracuse University, he has built a distinguished career driving technological transformations across industries such as finance, digital marketing, and automotive. At iCrossing, a Hearst company, Vamsikrishna spearheaded strategic technical initiatives, achieving a 30% improvement in client satisfaction and retention by implementing scalable cloud solutions. His expertise includes designing multi-tenant SaaS applications, cloud-native microservices, and distributed systems, which have increased deployment frequency and reduced incident resolution time. He has implemented monitoring tools that enhanced system uptime by 15% and automated build pipelines to accelerate development by 60%. With certifications in AWS (Professional Solution Architect, Machine Learning, AI Practitioner), Kubernetes (Administrator, Security Specialist), and Terraform, Vamsikrishna excels in deploying secure, cost-effective cloud infrastructures. His contributions have led to a 45% reduction in cloud costs and a 70% increase in deployment consistency. Previously, Vamsikrishna worked with the London Stock Exchange Group, ensuring 99.9% uptime for global financial platforms, and Microsoft, where he optimized Azure-based services for Windows Phone. His work on disaster recovery reduced downtime by 40%, and his automation initiatives decreased deployment times by 80%. Vamsikrishna’s leadership in DevSecOps and his ability to integrate security into CI/CD pipelines have consistently delivered measurable outcomes, such as a 30% reduction in security threats. His cross-functional collaboration and focus on innovation make him a trusted technology transformer, driving operational excellence and business success. In addition to his professional achievements, he is passionate about leveraging cutting-edge technologies to streamline operations, enhance security, and deliver scalable, high-performance solutions for complex business challenges.

Serverless breaches expose dangerous missteps in securing function chains, IAM policies, and API gateways. We unravel serverless compromises to reveal the overlooked risks lurking in your infrastructureless apps. Arm yourself with actionable lessons to lock down your functions and avoid headlines.

As organizations rapidly adopt serverless, they expose themselves to new risks not secured by traditional controls. Real-world serverless breaches have already exposed overlooked flaws and misconfigurations resulting in catastrophic data theft and service disruption.

In this talk, we conduct a deep forensic analysis of high-profile serverless compromises involving misconfigured S3 buckets, overly permissive functions, vulnerable web frameworks, and Common missteps in serverless permissions and secrets management.

Walk away with actionable lessons to avoid becoming the next serverless breach headline. We’ll provide concrete steps to reduce your attack surface, implement least privilege access, monitor anomalous activity, and instill a “secure by default” posture across your infrastructureless apps.

Babar Khan Akhunzada is a 24-year-old cyber wizard, Founder & CEO of SecurityWall - Stacked on AI & Big Data technology to help enterprises and individuals enhance security capabilities through capability building, risk management and hybrid security audit. Babar have helped numerous enterprises to tackle financial cyber crime issues on business application and infrastructure scale. Enterprises improved 95% of their security alignments and protected against cyber criminals for zero-paid orders leading to financial crisis. Babar is acknowledged by well-known tech companies for contributing to their products' security including Adobe, eBay, Apple, Nokia, Microsoft, Oracle, Sony, Redhat, Yahoo, DuckDuckGo, StackOverflow, NextCloud, and a 100+ more. Babar have many years of experience of bug bounty hunting and ethical work, which make him unique in all at such young age. Babar has served as a Security Consultant for Directorate of Information Technology and was responsible for security matters of Government Data Center during his tenure. Recently, Babar has been featured in 25-Under-25 as a young high achiever. Babar have been to many conferences and events including BlackHatMEA, High Technology Crime Investigation Association, UC EXPO, OWASP Romania, Cyber Security Indonesia, EC-Council for Annual Halted Conference, HITCON Taiwan and many more.

Muhammad Khizer Javed is a cybersecurity expert with over a decade of experience in penetration testing and vulnerability assessment. As Lead Penetration Tester at SecurityWall, he secures systems using tools like Kali Linux and Metasploit. He also conducts bug bounty research on platforms like Bugcrowd and HackerOne, uncovering critical vulnerabilities. Skilled in application security and API testing, Khizer delivers effective, comprehensive security solutions.

SRE teams often face challenges with a high volume of routine tasks and requests, making it difficult to focus on critical, high-priority issues. At Electrolux, we faced the same challenge, which led us to develop InfraAssistat —an multi-agent AI-powered solution designed to automate key operational tasks such as infrastructure management, user onboarding, and responding to internal requests. This shift reduced our manual workload and significantly improved operational efficiency. InfraAssistant is built on specialized agents that coordinate to autonomously manage complex tasks, reducing the need for continuous manual involvement. This session will cover the design and orchestration of these agents, showcasing how InfraAssistant helps SRE teams by automating day-to-day operations, minimizing repetitive tasks, and enhancing the management of complex infrastructure.

Alina Astapovich is a Site Reliability Engineer with a strong background in IoT development. Holding a master's degree in 'Neurotechnologies and Software Engineering,' she excels in designing and architecting backend platforms and microservices. Her experience goes beyond, she has a strong background in building scalable and robust solutions. With a Solutions Architect certification, Alina leverages her expertise in cloud technologies to optimize system performance and reliability. She is dedicated to continuous professional growth, always exploring the latest innovations and trends in technology. As a skilled public speaker, Alina regularly shares her insights at industry events and conferences, contributing to the broader tech community.

Markus Makela is a skilled professional with a background in software development and site reliability engineering (SRE), currently working at Electrolux Group in Stockholm. Holds a Civilingenjörsexamen in Engineering Physics from KTH Royal Institute of Technology (2015–2021). Experienced in machine learning and MLOps, complemented by an AWS Certified Machine Learning Engineer – Associate credential (valid through 2027). Formerly a Software Developer and Programmer at Prevas AB, delivering innovative solutions in the Stockholm region.

GenAI is disrupting how we write, review, accept and deliver code. DevOps practices must evolve to be able to keep up. There are new kinds of bottlenecks to open, new bends in the pipelines to navigate, and new technologies at our disposal Join us to learn how.

When DevOps first started to manifest over a decade ago, a lot of the focus was on streamlining engineering, much in the same way as assembly lines. Starting with the most repetitive and automatable processes, we created pipelines for continuous operations––testing, integration and deployment (AKA CI/CD). Concepts were borrowed from Kaizen (Japanese assembly lines) to ensure these processes flowed and worked, and it’s hard to imagine ever going back on the process and quality improvements brought on by CI/CD. But it only got us so far. After solving for automation of programs - tests, integrations, builds and deploys are all basically scripts - our attention can turn to much heavier sources of friction, which are also harder to automate. These are the touch points between humans: pickup time for code reviews, who do I even assign this review to?!, what do I need to line up to get this PR merged? And between humans and programs: flaky builds and tests, builds + tests that take too long, post-deployment ownership during outages, synchronizing access to dev environments, and much more. With GenAI getting embedded in the SDLC, the human / machine interface points are even more important. We will soon have 10x the amount of [AI generated] code, with agents writing code, tests & reviews. How will our processes and pipelines deal with this new scale? Who will review and approve all this code? How do we deliver it in a safe manner? Enter the DevOps for the GenAI age. We must rethink our processes and eliminate the amounting friction. In this talk we’ll bring data and research from millions of PRs and developers, and share how simple tweaks and automations have unlocked velocity by orders of magnitude. Methods such as automating trivial code fixes, better understanding of ownership and stakeholders in the process, improved communication (the backbone of DevOps!) all map to greater velocity and developer happiness, and are crucial to reap the benefits of the GenAI revolution in the SDLC. Join us to learn how.

I like to solve problems. Maybe that's why I was so fascinated with programming when first encountered Logo back in the late Eighties. The possibilities seemed endless... they still do. I made a career solving complex programming problems as a consultant and entrepreneur. I learned that the most intriguing puzzles I love most are those that combine "how do we build it?" , "what should we build?", and "what else can we do with this?". In 2014 I joined the CTO office of a fast-moving cloud security startup, which later got acquired by a networking giant. At this startup I also met Ori and Dan, now co-founders of LinearB. A few months back I joined them, getting back to solving these exciting puzzles in the world of dev team metrics and software delivery management.

AI products are becoming critical for businesses to maintain a competitive edge, yet integrating them into an organization’s ecosystem brings unique challenges. Ensuring the reliability, security, and alignment of AI systems with business goals and ethical standards demands new approaches and tools.

This talk explores the concept of AI Reliability Engineering (AIRE), which adapts SRE principles to AI systems. Based on our experience as an AI-based startup building a mentoring platform, we’ll discuss the challenges and solutions encountered when managing LLMs, and language chain tracing and AI gateways.

Key challenges include: - lack of visibility and control over the AI lifecycle: data collection, model deployment, and monitoring. - ensuring quality and robustness of AI models, addressing issues like prompt attacks, data drift, and evolving performance. - managing complexity in dependencies, configurations, and resources across environments.

The AIRE approach combines the CNCF ecosystem with established SRE practices to address these challenges. By leveraging tools like OpenInference and AI gateways, AIRE introduces processes that enhance reliability, mitigate risks, and improve the security of AI systems.

A seasoned professional with over 15 years of experience in Software Development, DevOps, Site Reliability Engineering (SRE), AIOps and Kubernetes.

Proven track record in leadership roles including Technical Manager, Operations Team Lead, and CTO. 5 years as Co-Founder, Cloud B2B/B2C application projects.

DevOps/SRE/Kubernetes Coach and Public Speaker

Taking Machine Learning to production: Cloud MLOps for speed and efficiency

I work with startups that innovate their algorithms, but hit a scaling wall as they succeed. I'll show how cloud platforms like Google, AWS, and Azure provide a full spectrum of MLOps services, and services, and how to decide when to leverage each.

Joshua Fox advises tech startups and growth companies about the cloud: Google Cloud, AWS, and Azure. He also writes open source, publishes technical articles, and speaks to cloud engineers as a Google Developer Expert. Before that, he was a software architect in innovative technology companies in Israel for 20 years. He has a PhD from Harvard University and a BA in math from Brandeis.

In this workshop, we will focus on leveraging New Relic's AI Monitoring to confidently build and run AI applications. You'll learn how to achieve comprehensive observability across your stack to maintain peak performance, ensure compliance, promote quality, and observe costs. Through hands-on demonstrations and practical exercises, you'll gain insights into best practices for monitoring and managing AI-driven systems, ensuring they are reliable, efficient, and compliant with industry standards. Join us to master the tools and techniques that will empower you to optimize your AI applications and drive business success.

Passionate software craftsman with 25+ years experience in a broad spectrum of development technologies and platforms. Main focus on cloud-native software architectures and all major cloud environments. Passion for model-driven development, application modernization and Dapr. Observing and securing these environments are key aspects. As a Developer Relations Engineer at New Relic, Harry helps software engineers, DevOps, SREs and operations experts to understand and implement proactive and scalable observability practices by leveraging open source technologies and the New Relic platform.

Let's explore how the Ops landscape has evolved in recent years and examine key trends shaping its future.

As cloud-native development accelerates, observability is no longer a nice-to-have, but a necessity. This session explores key trends shaping the observability space, including the role of AI in transforming monitoring practices, the rise of open standards like OpenTelemetry, and how platforms like New Relic are adapting to meet the needs of developers and SREs. Join us for a deep dive into the future of observability and how to stay ahead in a rapidly evolving industry.

Passionate software craftsman with 25+ years experience in a broad spectrum of development technologies and platforms. Main focus on cloud-native software architectures and all major cloud environments. Passion for model-driven development, application modernization and Dapr. Observing and securing these environments are key aspects. As a Developer Relations Engineer at New Relic, Harry helps software engineers, DevOps, SREs and operations experts to understand and implement proactive and scalable observability practices by leveraging open source technologies and the New Relic platform.