AWS RoboMaker became available in Frankfurt, Singapore, and Ohio, bringing its cloud-based robotics development, simulation, and fleet management platform to seven global regions.
Most companies lack dedicated data scientists, making DataOps a practical responsibility for DevOps engineers. Here’s how to integrate data operations into your software delivery pipeline.
Compuware integrates its machine-learning analytics tool zAdviser with its ISPW mainframe CI/CD platform, helping enterprises surface developer productivity insights, reduce technical debt, and close the gap between mainframe and distributed DevOps pipelines.
WhiteSource and GitHub announced a data partnership in 2019 to expand security vulnerability alerts for open source dependencies across GitHub repositories, drawing on WhiteSource’s aggregated vulnerability intelligence.
Software feature management lets DevOps teams decouple code deployments from feature releases using flags, switches, and toggles. Here’s what that means in practice.
Jenkins is a CI/CD staple, but it isn’t the only option. Explore ten strong Jenkins alternatives—from Atlassian Bamboo to IBM UrbanCode—to find the right fit for your DevOps pipeline.
As DevOps and Agile reshape software delivery, the QA engineer’s role is expanding far beyond traditional testing. Here’s what that means for testers navigating the shift.
Most organisations claim to practise CI/CD, yet still struggle with genuine Continuous Delivery. Here are ten concrete warning signs — and what to do about them.
A curated list of ten free tutorials, courses, books, and video series to help DevOps engineers and developers master Jenkins CI/CD from beginner to intermediate level.
Jenkins remains one of the most widely adopted open-source automation servers in DevOps pipelines. Here are five key reasons developers continue to rely on it for continuous integration and delivery.
When DevOps is implemented well, IT admins gain automation, better developer oversight, structured testing environments, and shared feedback loops — freeing them from repetitive firefighting to focus on higher-value work.
Continuous integration (CI) is the practice of merging code changes into a shared repository multiple times a day, with automated builds and tests catching errors early. Learn how CI works, why it matters, and the core rules that make it effective.
Open source has moved from high-risk experiment to enterprise standard. Here’s what the convergence of open source and DevOps means for engineering teams: CI/CD automation, DevSecOps maturity, polyglot environments, and the push for a trusted software supply chain.
From fatal autonomous-vehicle accidents to algorithmic exploitation, unethical code carries serious consequences. Here is what the DevOps industry can do about it.
Central cloud infrastructure alone cannot handle the data explosion driven by IoT. Edge cloud computing—processing data at or near the originating device—offers a scalable, lower-latency, and privacy-preserving alternative. Here’s what developers need to understand.
Announced at Jenkins World 2017, CloudBees DevOptics aims to give engineering teams a single source of truth for software delivery pipelines—turning dispersed Jenkins data into actionable DevOps insights.
From using Make as a build tool to misusing database sequences, these are the tactical coding mistakes that trip up developers at every level — and how to avoid them.
At Microsoft Build 2017, Microsoft announced a wave of new Azure tools and services—including Cosmos DB, managed MySQL and PostgreSQL, Azure IoT Hub updates, and the Cortana Skills Kit—aimed at helping developers build and manage cloud deployments more effectively.
Cloud-first development has reshaped developer expectations, tooling, and workflows. From microservices and containers to serverless and AI, here is how cloud computing is redefining modern software development.
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