Speakers
3709 157th Ave NE, Redmond,
WA 98052, United States
Coming soon
Peter has an extensive background in architecting, deploying, managing and training on Microsoft technologies, dating back to Windows NT4 Server in 1996, all the way to the latest and modern cloud solutions available in Azure today. With a passion for cloud Architecture, Devops and App Modernization, Peter always has a story to share on how to optimize your Enterprise-ready cloud workloads. When he's not providing a technical Azure workshop out of his role as Microsoft Technical Trainer at Microsoft Corp, for which he relocated from Belgium to Seattle early 2022, he's developing some new apps in .NET Blazor, or trying another bread baking recipe in his home kitchen. Peter was an Azure MVP for 5 years, is a Microsoft Certified Trainer (MCT) for +15 years and still actively involved in Tech Communities as public speaker, keynote presenter, technical writer and mentor.
When you're managing dozens of Kubernetes clusters, across three different clouds, for dozens of individual companies in their own accounts, the challenge of (re)designing tooling is complex. Come hear how we worked through all the many possible options (centralized IaC vs templating, whether to use cluster managers like Rancher, etc.), what high-level tradeoffs were made (i.e. ease-of-use vs speed of changes vs centralized control), and the tangible outcomes of this process. The focus here will be on the process and decision making, given all the different drivers such as technology, business, people, process, etc. This talk will cover how we undertook the process, while giving you tangible next steps to take back to your desk.
From this talk, you'll take away: - Some reasons why you should or should not attempt a rewrite of your Infrastructure-as-Code process. - An overview of the inputs that you should consider when designing an Infrastructure-as-Code tooling stack. - Some idea of how to be successful with a tooling rewrite.
Andrew Suderman has had a lifelong obsession with technology that currently fuels his passion for Kubernetes. He enjoys designing and building new systems that make life easier for developers. Currently he pursues that passion at ReactiveOps, where he maintains dozens of clusters and works on internal tooling.
In his spare time he enjoys off-roading, camping, quadcopters, motorcycles, and far too many other hobbies to afford.
In this talk, Matan Nataf, co-founder, and CEO of Rapydo, addresses the complexities of managing relational databases in the cloud era. Focusing on the challenges brought by microservices and multi-tenant architectures, he underscores the limitations of current tools in achieving scalability and performance. Nataf highlights the key pillars for modern database management: observability, resiliency, and cost-efficiency. He introduces Rapido's solutions that offer consolidated visibility and automated query management to mitigate database issues. Finally, a live demo showcases Rapido's capabilities in optimizing database performance and stability.
Matan Nataf is the Co-Founder & CEO of Rapydo, leading cloud and database management innovations. Previously, he founded CloudPort and held leadership roles at Spot.io, ControlUp, and HPE, specializing in cloud solutions, virtualization, and enterprise IT. With deep expertise in AWS, DBMS, and team management, he brings years of experience in scaling tech-driven businesses.
This session reveals the transformation journey of Microsoft's notification infrastructure that now powers Microsoft Teams, Copilot Chat, and Azure Communication Services. I'll share my experience leading the modernization of Azure Notification Hubs, which dramatically reduced costs while improving performance and reliability. The presentation examines how we migrated from legacy systems to a modern .NET core architecture while implementing essential resilience patterns like sophisticated retry mechanisms and circuit breakers to prevent cascading failures. I'll demonstrate how we maintained exceptional service uptime while processing billions of daily notifications across iOS, Android, Windows, and various OEM devices. You'll discover practical approaches to implementing latency-based routing, dynamic load balancing, and multi-region failover strategies that significantly improved performance under high traffic. I'll also discuss how we enhanced observability through Azure Monitor integration, balancing operational excellence with compliance requirements. This technical exploration provides architecture and engineering insights for those working with large-scale distributed systems, offering practical guidance for modernizing critical infrastructure while maintaining operational excellence. You'll gain actionable knowledge for building cloud-native notification systems that balance performance, cost, and reliability at enterprise scale.
Ankita Kamat is a Senior Software Engineer at Microsoft with over 10 years of experience in building scalable, high-performance systems. Currently leading development for Microsoft's Intelligent Conversation and Communications Cloud (IC3), she architects and implements messaging platforms that serve 300 million monthly active users across Microsoft Teams, Copilot Chat, and Azure Communication Services. Throughout her career at Microsoft, Ankita has demonstrated exceptional technical leadership and innovation. She played a key role in modernizing Azure Notification Hubs, achieving $3M in annual savings through strategic re-architecture. As a Tech Lead for the Account Notification Platform, she successfully led system design initiatives and cross-functional collaborations during a period of team transition. Prior to Microsoft, Ankita held senior engineering positions at Citigroup and UBS, where she specialized in developing enterprise-level applications using Angular, Spring MVC, and various front-end technologies. She has consistently shown expertise in optimizing performance, implementing secure solutions, and mentoring junior engineers. Ankita holds a Master of Science in Computer Science from Georgia Institute of Technology with a perfect 4.0 GPA, and a Bachelor's degree in Information Technology from Goa University. She is proficient in multiple programming languages including C#, F#, Java, and TypeScript, with extensive experience in cloud technologies like Microsoft Azure, Cosmos DB, and Kubernetes. A passionate advocate for operational excellence and innovation, Ankita has a proven track record of delivering impactful solutions that enhance user experiences while driving business growth. Her commitment to mentoring teams and streamlining development processes has consistently resulted in improved productivity and successful project outcomes.
The rapid adoption of telemedicine has revolutionized healthcare delivery while introducing unique cybersecurity challenges. This presentation shares practical strategies for protecting patient data in virtual healthcare environments based on real-world security audits across major healthcare institutions. Healthcare organizations managing telemedicine platforms face sophisticated cyber threats daily, with attackers targeting protected health information for financial gain and disruption. My research demonstrates that implementing a structured security approach can dramatically reduce these risks while maintaining HIPAA compliance and uninterrupted care delivery. I'll present how leading healthcare providers have successfully secured their virtual care environments through targeted security measures, including properly implemented encryption for video consultations and messaging systems. Through detailed case studies, I'll show how organizations significantly reduced third-party vendor risks and prevented unauthorized access attempts using appropriate authentication methods. This session provides actionable guidance for healthcare security professionals looking to enhance their telemedicine security posture. You'll learn practical techniques for implementing effective authentication mechanisms, securing communication channels, and maintaining regulatory compliance without compromising system performance or patient experience. Whether you're managing a small clinic or enterprise healthcare system, you'll gain valuable insights for establishing secure virtual care environments that protect patient data while supporting high-quality care delivery.
Smita Verma is a senior technology executive with extensive experience driving innovation in enterprise cybersecurity solutions and healthcare compliance frameworks. Currently serving as a Senior Product Manager at Adobe Inc. in Austin, Texas, she leads Adobe Commerce Security, Compliance & Platform health initiatives, where she has made significant improvements in reducing Magecart attacks and minimizing outdated software risks. Prior to Adobe, Smita held senior product management role at Dell Technologies, where she spearheaded BIOS and firmware security initiatives, achieving substantial reductions in vulnerabilities through proactive updates. Her experience also includes positions at Symantec Corporation and Thomson Reuters, where she led security engineering teams and developed innovative authentication solutions. Smita holds an MBA from Brigham Young University's Marriott School of Management, where she specialized in Marketing, Strategy & Analytics. She earned her Bachelor of Engineering in Information Science from P E S Institute of Technology in Bangalore, India. Her technical expertise is complemented by certifications in Software Security, Adobe Security, and Agile Project Management. Throughout her career, Smita has demonstrated exceptional leadership in developing and implementing market-leading security products that strengthen global cybersecurity standards across Fortune 500 organizations. Her achievements include delivering HIPAA-Ready Adobe Commerce solutions, generating substantial revenue growth, and pioneering AI-driven security solutions. She has consistently shown expertise in safeguarding sensitive data across U.S. healthcare systems and critical infrastructure sectors while fostering secure international digital transformation.
Maintaining robust network security in the cloud environment is more crucial than ever. This talk explores the design and implementation of a proactive network telemetry platform that strengthens infrastructure security. The platform collects and analyzes telemetry data from virtual machines to identify and scrutinize traffic patterns deviating from industry-standard baselines. By generating actionable insights and promptly notifying relevant teams of potential issues, it enables swift problem resolution and fosters collaboration among development, security, and operations teams. This proactive DevSecOps approach significantly reduces the attack surface, minimizes exposure to network attacks, and enhances overall cloud security.
Siri Varma Vegiraju is a seasoned professional in healthcare, cloud computing, and security. Currently, he focuses on securing Azure Cloud workloads, leveraging his extensive experience in distributed systems and real-time streaming solutions. Prior to his current role, Siri contributed significantly to cloud observability platforms and multi-cloud environments. He has demonstrated his expertise through notable achievements in various competitive events and as a judge and technical reviewer for leading publications. Siri frequently speaks at industry conferences on topics related to Cloud and Security and holds a Masters Degree from University of Texas, Arlington with a specialization in Computer Science.
The adoption of AI-powered procurement is revolutionizing supply chain reliability, streamlining operations, reducing costs, and enhancing risk mitigation. AI-driven procurement automation has led to a 37% reduction in processing times and a 42% improvement in supplier selection accuracy, significantly outperforming traditional sourcing methods (IEEE, 2024). In Site Reliability Engineering (SRE) terms, AI is becoming a key enabler of resilient, scalable, and self-healing supply chain operations—critical for businesses operating in high-demand environments.
This session will explore how AI enhances procurement reliability through predictive analytics, autonomous decision-making, and risk mitigation strategies. Case studies from leading enterprises demonstrate 15-20% cost savings, with AI-driven spend analysis unlocking $3.8 million in annual optimizations (KPMG, 2024). AI-powered contract automation has resulted in a 60% reduction in processing time and a 30% decrease in compliance risks, while AI-driven early warning systems have achieved an 85% success rate in detecting supply chain disruptions—critical for SRE teams managing global infrastructure dependencies.
The discussion will also cover implementation challenges, such as data privacy (78% of organizations struggle with compliance) and AI integration hurdles with legacy systems (65% report difficulties) (IEEE, 2024). However, advances in AI-powered smart contracts and blockchain-backed procurement are projected to reduce procurement processing times by 85%, improving security, resilience, and compliance—aligning with SRE best practices.
Attendees will gain practical insights into AI-driven supply chain reliability, including sustainability initiatives that have cut corporate carbon footprints by 28% through AI-optimized logistics and supplier selection. This session will empower SRE professionals with strategies to leverage AI in procurement, ensuring cost efficiency, operational resilience, and reliability-driven supply chain management.
Parameswara Rao Tatini is a highly accomplished research scientist with over 20 years of industrial experience in designing, developing, and deploying machine learning (ML) and artificial intelligence (AI) applications at scale. His expertise spans Generative AI, deep and statistical machine learning, natural language processing (NLP), computer vision, and time-series forecasting. With a strong foundation in software engineering, signal processing, and data analytics, he has contributed significantly to AI-driven solutions across industries. His work has resulted in seven U.S. patents, highlighting his contributions to database management, AI-driven search, recommendation systems, and enterprise ML solutions. Currently, Parameswara serves as a Principal Data Scientist / Data Science Expert at SAP Ariba Inc., where he plays a crucial role in developing AI-powered enterprise solutions. He has led the end-to-end development of the Ariba Search application, leveraging Generative AI and Large Language Models (LLMs) to enhance search capabilities. His innovations include designing multi-lingual search classification models, improving search relevance by 8%, and developing an ML-powered recommendation system for Guided Buying, which earned a U.S. patent. Additionally, he pioneered the Pair Programming Assistant (PPA), an AI-driven tool that enhances coding efficiency through intelligent code suggestions, debugging support, and test case generation. His retail demand forecasting work reduced spoilage costs from 10% to 6%, saving $100M for a leading retailer. Before joining SAP Ariba, Parameswara spent a decade at IBM India Software Labs as an Advisory Software Engineer, where he spearheaded key architectural enhancements for IBM DB2. He was instrumental in developing automated database failover solutions, optimizing multi-tenant support for shared databases, and streamlining automated driver updates for client applications. His patented bi-directional data integration model significantly improved structured and unstructured data processing, making DB2 more efficient for enterprise applications. Parameswara holds a Master of Science in Software Systems and a Bachelor of Science in Information Systems from the Birla Institute of Technology and Science (BITS), Pilani, India. His technical skill set includes Python, SQL, R, MATLAB, Java, and cloud technologies like AWS, GCP, Azure, and SAP Business Technology Platform (BTP). Beyond his technical contributions, Parameswara is deeply invested in mentorship and leadership, guiding junior data scientists and collaborating with cross-functional teams to drive AI-powered innovation. His pioneering work in NLP, signal processing, and dimensionality reduction techniques (T-SNE, PCA, DCT, DWT) continues to push the boundaries of enterprise AI applications. Through his leadership and expertise, he remains at the forefront of AI, cloud computing, and data science innovations.
This talk is for DevOps and SRE engineers who are looking to optimize the number of SLOs in their system and find methods to manage a large number of various SLIs for their complex, multi-level service architecture. The talk covers practical methods for calculating SLOs based on multiple SLIs and dependencies, including the reliability of third-party service providers and unknowns. Attendees are expected to be familiar with basic SRE principles and terminology. The talk includes some probability math.
Overwhelmed by the complexity of managing SLOs across your microservices architecture? This talk provides DevOps and SRE engineers with actionable strategies for defining, calculating, and optimizing SLOs in systems with a large number of SLIs.
We’ll explore practical techniques for:
The talk will include some probability math to illustrate key concepts.
In my work at Google as a Developer Relations Engineer, I help cloud practitioners to solve a wide range of technical and architectural problems related to running workloads in Google Cloud and hybrid environments. Jump start to Google Cloud. Reach 99.99 SLO. Troubleshoot a problem in real time. Or, evaluate a security posture of your application. All these and many other problems that engineers and architects meet every day. Before Google, I worked in healthcare, interactive TV and gaming industries in many engineering roles including SWE, TL and Cloud Architect. In my free time I enjoy swimming, hiking and horseback riding.
