InfoQ Homepage DevOps Content on InfoQ
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Build, Test, and Deploy Scalable REST APIs in Go
In this article, we'll look at how to use the gin framework to create a simple Go application. We will also learn how to use CircleCI, a continuous deployment tool, to automate testing and deployment.
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Why Observability Is the Key to Unlocking GitOps
In a GitOps work process, Git is the single source of truth for the system’s intended state. Observability can provide the missing piece: the single source of truth for the system’s actual state.
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Evolving DevOps to Enable Quality at Speed Software
DevOps must evolve to include Quality at Speed to address issues with delivering timely business value and innovation, siloed teams lacking alignment, a fragmented toolchain, and quality sacrifices. Infrastructure, Developer and Experimentation platforms are the three fundamental platforms enabling Quality at Speed software delivery
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Successfully Integrating Dynamic Security Testing into Your CI/CD Pipeline
Dynamic security testing tools don’t require advanced cybersecurity knowledge to operate. Integrating DAST into your CI/CD pipeline should be done in stages by focusing on the riskiest areas first.
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Polyglot Microservices Communication Using Dapr on AKS
Dapr is a useful tool for solving several challenges engineers might face. It allows engineering organizations to gain productivity by training developers on a common set of tools and techniques. It also helps adopt standardization in development, deployment, and debugging.
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eBPF and the Service Mesh: Don't Dismiss the Sidecar Yet
While eBPF looks promising to improve service mesh sidecar proxy performance, there are other, simplier ways to improve performance. The layer 7 processing needed for service meshes is unlikely to be feasible in eBPF for the foreseeable future, which means that meshes will still need proxies.
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Why is Everything So Slow? Measuring and Optimising How Engineering Teams Deliver
As teams grow, they will slow down, but it should not mean that teams stop delivering value that can power future business growth. Avoiding excessive technical debt and ensuring systems are secure and performant becomes increasingly important. As an engineering leader, you can do things to be confident that your team is moving at the fastest and most sustainable pace.
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Building an Effective Incident Management Process
A good incident management framework can help organizations manage the chaos of an outage more effectively leading to shorter incident durations and tighter feedback loops. This article introduces the components necessary for a healthy incident management process.
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Building & Operating High-Fidelity Data Streams
At QCon Plus 2021 last November, Sid Anand, chief architect at Datazoom and PMC Member at Apache Airflow, presented on building high-fidelity nearline data streams as a service within a lean team. In this talk, Anand provides a master class on building high-fidelity data streams from the ground up.
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Moving Kafka and Debezium to Kubernetes Using Strimzi - the GitOps Way
Deploying an Apache Kafka cluster to a Kubernetes is not an easy task. There are a lot of pieces to configure like the zookeeper, the Kafka cluster, topics, and users. Strimzi is a Kubernetes controller making the deployment process of Kafka a child game. Moreover, Strimzi lets you manage Kafka using GitOps methodology as everything is executed using a Kubernetes YAML file.
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DevOps at Schneider: a Meaningful Journey of Engaging People into Change
Adopting DevOps at Schneider started with building a case for change. Tech people were engaged into change by organizing learning and collaboration sessions and getting feedback from the front lines. Change is hard and without leadership support, dedicated time for developers to really digest it and continual reinforcement and conversation, it will be challenging to be successful.
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Virtual Threads: New Foundations for High-Scale Java Applications
Virtual threads are a lightweight implementation of Java threads, delivered as a preview feature in Java 19. They dramatically reduce the effort of writing, maintaining, and observing high-throughput concurrent applications. Virtual threads breathe new life into the familiar thread-per-request style of programming, allowing it to scale with near-optimal hardware utilization.