InfoQ Homepage DevOps Content on InfoQ
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Gatling vs JMeter - What to Use for Performance Testing
A performance tool with a graphical interface will probably be easier to use at the beginning, but the idea of a performance test as code is the future. Tests are readable and much easier to maintain. Many people are skeptical about Gatling because it requires learning a new programming language - Scala. However, Java is supported with the release of Gatling 3.7.
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Using DevOps Automation to Combat DevOps Workforce Shortages
A focus on automation can help to combat the current staffing struggles many organizations have with DevOps roles. Effective automation can reduce the toil experienced by developers. Automation efforts should focus on security operations, deployments, continuous delivery, QA testing, and continuous integration.
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How Development Teams Can Orchestrate Their Workflow with Pipelines as Code
Infrastructure as Code was just the beginning. Configuration as Code followed shortly after – again becoming extremely commonplace and enabling organisations to scale their engineering capacity by a number of times. And in order to continuously increase the value development teams generate, Pipelines as Code is the natural consequence.
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The Parity Problem: Ensuring Mobile Apps are Secure across Platforms
The problem of security parity is a big one, but it’s part of a larger problem: a general lack of security in mobile apps. By embracing automation for security implementation to the same or greater degree than it has been adopted for feature development, developers can ensure that every app they release for every platform will be protected from hackers, fraudsters, and cybercriminals.
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/articles/quarkus-with-kafka-streams/en/smallimage/kafka-streams-and-quarkus-real-time-processing-events-small-1656083680635.jpg)
Kafka Streams and Quarkus: Real-Time Processing Events
Consuming Kafka messages is simple; you get them as long as they are produced, but nothing more. But if you need real-time processing of the data (filtering, joining, or manipulating events), just using the Kafka-consuming API might not be the best approach as the resulting code becomes complex. Kafka Streams and Quarkus are the perfect matches to start processing Kafka events in real-time.
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The Compounding (Business) Value of Composable Ecosystems
Being “free” and open source doesn’t hinder the value of these projects to businesses and end users; rather it unlocks it. The composability of open source ecosystems allows the innovation and value of the whole ecosystem to compound on itself.
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Analyzing Incident Data across Organizations: Courtney Nash on the VOID
The Verica Open Incident Database (VOID) is assembling publically available software-related incident reports. InfoQ talks with Courtney Nash on their recent findings including how MTT* metrics may not be beneficial, the average time to incident resolution, and the importance of studying near-miss reports.
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Establishing a Scalable SRE Infrastructure Using Standardization and Short Feedback Loops
This article explores an SRE implementation where the operations team builds and runs the SRE infrastructure and the development teams build and run the services leveraging the SRE infrastructure. This SRE solution enables the software delivery organization to scale the number of services in operation without linearly scaling the number of people required to operate the services.
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Embracing Cloud-Native for Apache DolphinScheduler with Kubernetes: a Case Study
This article shares how Apache DolphinScheduler was updated to use a more modern, cloud-native architecture. This includes moving to Kubernetes and integrating with Argo CD and Prometheus. This improves substantially the user experience of deploying, operating, and monitoring DolphinScheduler.
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Developing a Cloud-Native Application on Microsoft Azure Using Open Source Technologies
Cloud native is a development approach that improves building, maintainability, scalability, and deployment of applications. My intention with this article is to explain, in a pragmatic way, how to build, deploy, run, and monitor a simple cloud-native application on Microsoft Azure using open-source technologies.
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/articles/devops-and-cloud-trends-2022/en/smallimage/InfoQ-Trend-Report-logo-small-1648721970880-1655385008093.jpeg)
DevOps and Cloud InfoQ Trends Report – June 2022
This article summarizes how we see the "cloud computing and DevOps" space in 2022, which focuses on fundamental infrastructure and operational patterns, the realization of patterns in technology frameworks, and the design processes and skills that a software architect or engineer must cultivate.
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Reproducible Development with Devcontainers
Devcontainers provide a reproducable, reusable, simplified developer experience. Get a tour of a devcontainer including how they work, how to use them most efficiently, and how they differ to deployment containers.