InfoQ Homepage DevOps Content on InfoQ
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To Multicluster, or Not to Multicluster: Inter-Cluster Communication Using a Service Mesh
Communication within Kubernetes clusters is a solved issue, but communication across clusters requires more design and operational overhead. Before deciding on whether to implement multicluster support, you should understand your communication use case.
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Linkerd v2: How Lessons from Production Adoption Resulted in a Rewrite of the Service Mesh
Linkerd 2.0 introduced a substantial rewrite of the widely adopted service mesh, using a split between Go and Rust. In this article, we discuss the lessons learned in the "cauldron of production adoption", and how those lessons became the basis of Linkerd 2.x’s philosophy, design, and implementation.
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Sleeping Well at Night During a Live Cloud Migration in a VMware Environment
This article describes the challenges of live migration to the cloud and presents key concepts and requirements that enterprises and their service providers need to understand and adopt if they want to sleep well at night when migrating on-premises VMs and data to the cloud.
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Seven Steps for Improving Cloud Security with Business Integration
For business owners and information technology professionals, cloud computing has represented a significant advancement in terms of efficiency and supportability. But like with any major shift in the IT industry, the cloud brings a host of new security risks. Let’s take a look at the most common risks associated with integrating cloud-based business systems and how to manage them appropriately.
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Culture & Methods – the State of Practice in 2019
The latest Culture and Methods Topic Graph shows the topics that the editorial team feels are gaining traction and should be explored at the beginning of 2019.
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Crafting a Resilient Culture: Or, How to Survive an Accidental Mid-Day Production Incident
While working at Etsy, Ryn Daniels accidentally upgraded Apache on every single server that was running it, which caused a production incident. Explore lessons learned in this article, including that although automation and orchestration can be great, you should make sure you understand what’s happening under the hood and what to do if your automation goes awry.
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Monitoring and Managing Workflows across Collaborating Microservices
This article argues that you need to balance orchestration and choreography in a microservices architecture in order to be able to understand, manage and change the system.
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DevOps and Cloud InfoQ Trends Report - February 2019
An overview of how the “cloud computing” and DevOps space is evolving in 2019 including updates on Kubernetes, Chaos Engineering, Service meshes and more.
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Tap Compare Testing with Diferencia and Java Microservices
“Tap compare” is a testing technique that allows you to test the behavior and performance of the new service by comparing its results against the old service. This article provides an example of using a new open source tool, Diferencia, and mirroring production traffic across both old and new services to compare the difference in result.
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Ambassador: Building a Control Plane for an Envoy-Powered API Gateway on Kubernetes
This article provides an insight into the creation of the Ambassador open source API gateway for Kubernetes, and discusses the technical challenges and lessons learned from building a developer-focused control plane for managing ingress or "edge" traffic within microservice-based applications.
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Service Catalog and Kubernetes
Cloud-native applications do not just live inside Kubernetes—they also benefit from using the available cloud managed services. Similar to Kubernetes' declarative object configuration model, the Open Service Broker API with the Service Catalog provides a declarative way to describe cross-platform/cross-cloud managed service dependencies.
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Observability-Driven Development for Tackling the Great Unknown
How does observability-driven development differ from monitoring? As our distributed systems become increasingly more complicated and as our silos break down for DevOps testing, automation, and efficiency, ODD arises as a superset of monitoring to understand your code’s unknown unknowns. Includes insights from Honeycomb Founder Charity Majors.