InfoQ Homepage Performance Content on InfoQ
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State of OpenTelemetry, Where Are We and What’s Next?
Michael Hausenblas discusses what problems OpenTelemetry solves, and overviews the ecosystem and status of various projects within OpenTelemetry.
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Scaling GraphQL Adoption at Netflix
Tejas Shikhare discusses how Netflix migrated to GraphQL and some of the problems they had to solve scaling it.
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Profiles, the Missing Pillar: Continuous Profiling in Practice
Michael Hausenblas takes a look at the origins and the motivation of CP and discusses the benefits of using CP in production, making the case that profiles are the missing pillar of observability.
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APIs at Scale: Creating Rich Interfaces that Stand the Test of Time
Matthew Clark, Paul Caporn take a look at versioning, design patterns, handling different use-cases, supporting high-traffic moments, and the merits of different API types.
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With Observability, Cloud Deployments Don’t Have to Be Scary
Martin Thwaites discusses how to have the confidence to deploy at will. This ability allows developers and the wider team to know when things go wrong, and remediate them quickly.
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GraphQL Caching on the Edge
Max Stoiber discusses why and how to edge cache production GraphQL APIs at scale.
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Observability for Speed & Flow
Jessica Kerr considers that we should be looking at the software as part of the team, and observability in the software becomes an asset to organizing teams.
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Scaling the North Star of Developer Experience
Phillipa Avery discusses learnings from the back-end and product engineering perspective, gained while Netflix has grown from hundreds to thousands of engineers.
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Level up Your Java Performance with TornadoVM
Juan Fumero overviews the TornadoVM project, a parallel programming framework, and a Virtual Machine for transparently offloading Java programs onto GPUs and FPGAs.
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The Mechanics of Metrics: Aggregation across Dimensions
Erin Schnabel discusses how application metrics align with other observability and monitoring methods, from profiling to tracing, and the limits of aggregation.
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Panel: Kubernetes at Web Scale on the Cloud
The panelists discuss what they have learned scaling their own workload in the public cloud. Topics include capacity and workload management, security integration, and homegrown PaaS integration.
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Authorization at Netflix Scale
Travis Nelson discusses Netflix’s approach to scaling and shares techniques for distributed caching and isolating failure domains.