InfoQ Homepage DevOps Content on InfoQ
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Six Tips for Running Scalable Workloads on Kubernetes
Tips to ensure Kubernetes knows what is happening with your deployment: where best to schedule it, when is it ready to serve requests and ensuring work is spread across as many nodes as possible.
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Servlet and Reactive Stacks in Spring Framework 5
Spring Framework 5 supports both traditional servlet-based and reactive web stacks, in the same server application, reflecting a major shift towards asynchronous, non-blocking concurrency in applications. In this article Spring committer Rossen Stoyanchev explores and contrasts both stacks, and explains the range of available choices, and provides guidance for choosing the appropriate stack.
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GDPR for Operations
With GDPR, taking care of personal data is an organisation-wide responsibility, but in the operations we can provide a lot of supporting tools to help deal with the multiple facets of this problem.
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Debugging Distributed Systems: Q&A with the “Squash” Microservice Debugger Creator Idit Levine
InfoQ recently sat down with Idit Levine, CEO of solo.io and creator of the new open source “Squash” microservices debugger, and discussed the challenges of observing and debugging distributed systems and applications.
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Serverless Security: What's Left to Protect?
This article aims to provide a broad understanding of security in the Serverless world. We'll consider the ways in which Serverless improves security, the areas where it changes security, and the security concerns it hurts.
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Distributed Tracing: Exploring the Past, Present and Future with Dapper, Zipkin and LightStep [x]PM
Distributing tracing is increasingly seen as an essential component for observing distributed systems and microservice applications. This article provides an introduction to and overview of this technique, and includes: an exploration of Google’s Dapper request tracing paper; the Zipkin and OpenTracing projects; and the new LightStep [x]PM tracing platform.
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When Streams Fail: Implementing a Resilient Apache Kafka Cluster at Goldman Sachs
At QCon New York, Anton Gorshkov presented “When Streams Fail: Kafka Off the Shore”. The talk shared insight into how a platform team at a large financial institution design and operate shared internal messaging clusters like Apache Kafka, and also how they plan for, and resolve, the inevitable failure that occurs.
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The Kubernetes Effect
To successfully design for, implement, and run applications on Kubernetes requires knowledge of primitives, and awareness of design principles and practices. This article provides an overview of Kubernetes and guidance for how to best use it.
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DevOps and Cloud InfoQ Trends Report - January 2018
This article, following on from the Culture and Methods piece we published last week, provides a summary of how we currently see the operations space, which for us is mainly DevOps and cloud.
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Why and How Database Changes Should Be Included in the Deployment Pipeline
Eduardo Piairo on why databases and applications should coexist in the same deployment pipeline and different scenarios and steps to achieve it.
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What Do Data Scientists and Data Engineers Need to Know about GDPR?
Andrew Burt on the implications of GDPR on data collection, storage and use for any organization dealing with customer data in the EU. Burt explains what's the minimum an org needs to pass the GDPR test, as well as how to take the opportunity to improve their overall data governance.
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How to be Confident That Your Microservices Can Still Communicate in Production with Pact and Docker
Consumer-driven contracts enable our teams at Rightmove to work independently, and be confident that their changes won’t break other services when deploying their own. It also improves communication between teams, and helps to get developers thinking about API design early on.