InfoQ Homepage Continuous Delivery Content on InfoQ
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ClusterFuzzLite Brings ClusterFuzz to GitHub Actions and Other CI/CD Pipelines
ClusterFuzzLite, as implied by its name, is a light version of Google ClusterFuzz, a tool aimed to find security and stability issues in software systems through fuzz testing. ClusterFuzzLite is meant to be integrated in a CI pipeline with a few lines of code, says Google.
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Qovery: a Heroku for Almost Any Cloud Provider?
Qovery started on a journey to build a developer’s productivity tool which would allow scaling companies to keep up the rapid pace of delivery, without sacrificing quality or stability. One way is by combining the simplicity and “magic” of a PaaS, like Heroku, with IaaS’ flexibility. In a conversation with InfoQ, the CEO and founder, Romaric Philogene, provided more insights into their journey.
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Pants Build System Adds Support for Java, Scala, and Go
In its upcoming release, now available to early adopters, build system Pants adds Java, Scala, and Go to previously supported Python. InfoQ has spoken with Benjy Weinberger, one of the creator of Pants alongside John Sirois, and currently CEO of Toolchain, Pants' main sponsor.
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GitHub Introduces Projects, Updates Codespaces, Copilot, Code Scanning, and More
At its Universe 2021 conference, GitHub promoted its new Issues experience to public beta, providing projects and dynamic tables, expanded Copilot support for Jetbrains and Java, added Ruby support for code scanning, and announced many more features.
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Lowering Recovery Time through AI-Enabled Troubleshooting
Machine learning algorithms for anomaly detection can assist DevOps in daily working routines, where generalized ML models are trained and applied to detect hidden patterns and identify suspicious behaviour. Applied machine learning for IT-operations (AIOPs) is starting to move from research environments to production environments in companies.
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Litmus 2.0 Release Includes Multi-Tenancy, Chaos Workflows, GitOps, and Observability
Last month, Litmus 2.0 was released for general availability, with the goal of simplifying chaos engineering by adding new features like chaos center, chaos workflows, GitOps for chaos, multi-tenancy, observability, and private chaos hubs. InfoQ interviewed Umasankar Mukkara, CEO of ChaosNative and co-creator and maintainer of Litmus engineering platform.
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Travis CI Vulnerability Potentially Leaked Customer Secrets
Popular continuous integration and delivery service Travis CI disclosed a vulnerability that potentially leaked secure environment variables, including signing keys, access credentials, and API tokens. The flaw was quickly fixed on September 10, but the developer community found Travis CI handling of this issue insufficient.
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How a Test Strategy Helped to Increase Deployment Maturity and Product Quality
Implementing a test strategy helped an organization to move away from push and pray deployment toward continuous and confident deployment to production. The organization mapped their test strategy in a framework with different enablers, which has helped them align on quality metrics for the whole product together with a strong safety net of tests before moving to production.
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MLOps: Continuous Delivery of Machine Learning Systems
Developing, deploying, and keeping machine learning models productive is a complex and iterative process with many challenges. MLOps means combining the development of ML models and especially ML systems with the operation of those systems. To make MLOps work, we need to balance iterative and exploratory components from data science with more linear software engineering components.
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How External IT Providers Can Adopt DevOps Practices
IT suppliers can follow the “you build it, you run it” mantra by working in small batches, using an experimental approach to product development, and validating small product increments in production. The supplier has to find out what his client’s goal is, and it has to become the supplier’s goal as well to work in a collaborative way.
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Experiences from Measuring the DevOps Four Key Metrics: Identifying Areas for Improvement
Measuring the four key metrics of IT helped a company to assess the performance of their software delivery process. Continuous observation of these metrics supports decisions on where to invest and guides performance improvements.
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InfoQ Live August 17th: Deep-Dive in Cloud Native, CI/CD, Service Mesh, and More
Practically every development team would benefit from building and running applications that use the advantages of the cloud computing delivery model. This August 17th at InfoQ Live, software leaders dive into topics such as service mesh, CI/CD, cloud native best practices and pitfalls, and more. Join them and book your spot now for just $19.95.
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Distributed DevOps Teams: Enabling Non-Stop Delivery
Keeping in touch and being cohesive as a distributed team is a challenge many face. Assigning stories from a shared backlog helped a distributed team in doing non-stop delivery, as did giving all members of the team the authority to promote to production and back-out code at need. You need to give attention to the architecture to prevent creating similar or duplicate micro-services.
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InfoQ Live July 20th: Software Supply Chain for DevOps & Reducing Feature Flag Debt
How can modern DevOps practices accelerate your software delivery without the quality issues? Learn how automation, continuous testing, and supply management techniques can improve software quality and speed of delivery. Get valuable insights from world-class domain experts at InfoQ Live on July 20th.
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GitLab 14 Introduces Epic Boards, Improves Pipeline Editor and Kubernetes Agent, and More
With GitLab 14, GitLab is reaffirming its view of a unified DevOps platform integrating all the tools and tech stacks that are required by development teams. The latest release of the platform includes many new features meant to improve development velocity, application security, and analytics.