InfoQ Homepage Performance Content on InfoQ
-
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.
/presentations/observability-cloud-deploy/en/mediumimage/Martin-Thwaites-m-1669828018759.jpg)
-
GraphQL Caching on the Edge
Max Stoiber discusses why and how to edge cache production GraphQL APIs at scale.
/presentations/graphql-cache-edge/en/mediumimage/Max Stoiber-m-1665124544382.jpg)
-
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.
/presentations/observability-team-organization/en/mediumimage/jessica-kerr-m-1663739971662.jpg)
-
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.
/presentations/scaling-developer-teams/en/mediumimage/Phillipa Avery-m-1661161191721.jpg)
-
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.
/presentations/java-performance-tornadovm/en/mediumimage/juan-fumero-m-1661160969043.jpg)
-
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.
/presentations/observability-metrics/en/mediumimage/erin-m-1660545365443.jpg)
-
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.
/presentations/kubernetes-scalability-cloud/en/mediumimage/qcon-plus-m-1659337396863.jpeg)
-
Authorization at Netflix Scale
Travis Nelson discusses Netflix’s approach to scaling and shares techniques for distributed caching and isolating failure domains.
/presentations/authorization-scalability/en/mediumimage/travis_nelson-m-1657274616928.jpg)
-
Software Engineering – Then, Now, and Next
Mary Poppendieck discusses how software engineering has been changed by the scale and speed required of digital companies in the past, now, and in the future.
/presentations/software-engineering-change-digital-scale/en/mediumimage/Mary-Poppendieck-m-1608128165153-1649942735950.jpeg)
-
Panel: Observability and Understandability
Jason Yee, John Egan, and Ben Sigelman discuss their approaches and preferred methods to get impactful results in incident management, distributed tracing, and chaos engineering.
/presentations/observability-understandability/en/mediumimage/observability-understandability-m-1643301909913.jpg)
-
Resources & Transactions: a Fundamental Duality in Observability
Ben Sigelman explores resources and transactions, both theoretically and through some real-world examples, to develop an intuition for how to understand a system more completely.
/presentations/observability-resources-transactions/en/mediumimage/ben_siegelman-m-1636622884201.jpg)
-
Building and Scaling a Control Plane for 1000s of Kafka Clusters
Gwen Shapira and Vivek Sharma discuss some architectural highlights of building, evolving and scaling a control plane for thousands of Kafka clusters, and some challenges encountered.
/presentations/kafka-clusters-control-plane/en/mediumimage/Vivbig-1636122905463.jpg)