The Edge is a Maze: What We Learned Moving 100K RPS to Istio
What happens when Istio's meets the reality of 100,000 requests per second? This talk shares hard-won lessons from a high-scale migration, focusing on the tricky parts the documentation doesn't cover.
This session dissects the solutions for unpredictable latency and dropped connections, detailing the importance of edge connection management and targeted kernel tuning using Kubernetes sysctl support. It further explores methods to achieve graceful connection termination to prevent user-facing errors during deployments and node refreshes. Finally, the talk demonstrates a method for integrating A/B experimentation at the edge, a technique that allows for real-time, data-driven comparison of user experience between old and new infrastructure.
Designing a multi-brain Service Mesh
The Service Mesh is responsible for connecting services safely and transparently, keeping the traffic management policies up to date in a very dynamic environment. In a mesh, its brain, a.k.a Control Plane, is responsible for watching the whole environment and configuring each component. The Control Plane usually operates as a master management component, which difficulties its replacement. In this session, we delve into the journey of designing and maintaining a multi-brain Service Mesh, highlighting the challenges and the “AHA moments” of the replacement of the Control Plane.
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