Everyone talks about scaling systems to millions of users. Few talk about what actually breaks first.
As organizations grow, the first bottlenecks rarely appear where expected. Databases run out of connections before they run out of CPU. Message queues quietly become storage systems. Observability platforms generate more data than the applications they monitor. Infrastructure scales, but operations struggle to keep pace.
In this session, we present a Reliability Scaling Framework based on real-world experiences navigating the journey from one million to thirty million users. Through practical examples and lessons learned, we explore how teams can identify and eliminate reliability bottlenecks across applications, data platforms, messaging systems, Kubernetes, observability, and operational workflows.
Beyond technology, we discuss why successful scaling requires organizational coordination and why the modern SRE must act as the captain of reliability—aligning engineers, architects, product teams, and executives toward a common goal while balancing availability, performance, and cost.
Attendees will gain a repeatable framework for assessing scalability readiness, preventing common reliability pitfalls, and building systems—and organizations—that can confidently support the next order of magnitude in growth.
Seasoned, forward-looking professionals with around two decades of experience in Site Reliability Engineering, Solution architecting, Performance engineering, Capacity planning, Chaos Engineering, product development, automation and setup SRE for large enterprise applications in various business domains. Consistently recognized as competent individual, skilled at coordinating with cross-functional teams in a fast-paced environment to steer timely completion of project with budgetary constraints.
