InfoQ Homepage Performance Content on InfoQ
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Cloud-Native and Scalable Kafka Architecture
Allen Wang talks about how Netflix addresses the issues of stability and scalability in a cloud environment by having many smaller and mostly immutable Kafka clusters with limited state changes.
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Scaling Uber's Elasticsearch Clusters
Danny Yuan talks about how Uber scaled its Elasticsearch clusters as well as its ingestion pipelines for ingestions, queries, data storage, and operations by a three-person team.
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The Present and Future of Serverless Observability
Yan Cui overviews the challenges observing a serverless architecture, the tradeoffs to consider, the current state of the tooling for serverless observability, taking a look at new and coming tools.
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Testing Observability
Amy Phillips discusses the impact of observability on testing, from new techniques, greater Dev and Ops involvement, right through to whether testing is needed anymore.
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Taming Distributed Stateful Pets with Kubernetes
Matthew Bates,James Munnelly explain how to use StatefulSet and dynamic volume provisioning to manage the lifecycle of distributed and secure Cassandra clusters with the open source project Navigator.
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Kubernetes: Crossing the Chasm
Ian Crosby covers the fundamental concepts and features of Kubernetes, best practices and anti-patterns running apps is such an environment, setting up a production ready Kubernetes cluster.
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PerfView: The Ultimate .NET Performance Tool
Sasha Goldshtein talks about PerfView, an open source tool for .NET performance diagnosis used in production environments to solve CPU, wall-clock time, and memory usage issues.
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How to Build Observable Distributed Systems
Pierre Vincent covers key techniques to build distributed applications, including details on useful health checks, best practices for instrumentation with metrics, logging and tracing.
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With Great Scalability Comes Great Responsibility
Dana Engebretson covers the contextual pros and cons of a number of architectural patterns given real world scalability constraints.
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Custom App Auto-Scaler Using Cloud Controller API
Chris Decelles demos building a custom application auto-scaler using the Cloud Foundry’s controller API.
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Scaling Marketplaces at Thumbtack
Nate Kupp shares some of Thumbtack’s key learnings on their journey to scale and their future with fully-managed systems.
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Containers, Kubernetes and Google Cloud
Mete Atamel shows how to build a system, starting with a microservice, containerize it using Docker, and scale it to a cluster of resilient microservices managed by Kubernetes.
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