InfoQ Homepage Microservices Content on InfoQ
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Scaling API Independence: Mocking, Contract Testing & Observability in Large Microservices Environments
Tom Akehurst discusses how API mocking and simulation can solve microservice decoupling and productivity problems at scale, using observability, contract testing, and GenAI as guardrails.
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Timeouts, Retries and Idempotency In Distributed Systems
Sam Newman explains the three foundational principles of distributed systems: timeouts, retries, and idempotency. He shares practical advice on how to implement each to build more resilient software.
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Key Lessons from Shipping AI Products beyond the Hype
Phil Calçado shares key learnings from building and scaling an AI startup, offering a product-centric approach for engineering leaders and architects navigating generative AI.
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Reducing Developer Overload: Offloading Auth, Policy, and Resilience to the Platform
Christian Posta discusses what developer pain looks like, how much it costs, and how Istio has solved these concerns by examining three real-life use cases.
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Sidecar-Less or Sidecars for Your Applications in Istio Service Mesh?
Lin Sun discusses the choice between sidecar-less or sidecar, when to consider a sidecar-less implementation, how to migrate between these data plan options, and what the implications are.
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Production Comes First - an Outside-In Approach to Building Microservices
Martin Thwaites introduces outside-in testing, how to use Observability techniques in a local development to build applications that are easier to debug locally and run as a first class citizen.
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From Mainframes to Microservices - the Journey of Building and Running Software
Suhail Patel discusses the platforms and software patterns that made microservices popular, and how virtual machines and containers have influenced how software is built and run at scale today.
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Protecting APIs in Financial Services with Zero Trust Overlay Mesh Networks
Clint Dovholuk reviews the three components of OpenZiti's architecture: controller, edge routers, and SDKs, in addition to diving into the internal physical and logical architecture of OpenZiti.
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How Netflix Really Uses Java
Paul Bakker discusses Netflix’s use of Java, emphasizing the use of microservices, RxJava, Hystrix and Spring Cloud.
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Banking on Thousands of Microservices
Suhail Patel covers lessons learned creating a banking platform on the cloud that serves over 7 million customers daily and relies on a lean engineering team, microservices, Cassandra, and Kubernetes.
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Change Data Capture for Microservices
Gunnar Morling discusses how change data capture (CDC) and stream processing can help developers with typical challenges they often face when working on microservices.
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Microservices Retrospective – What We Learned (and Didn’t Learn) from Netflix
Adrian Cockcroft does a retrospective on microservices, what they set out to do at Netflix, how it worked out, and how things have subsequently permeated across the industry.
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