The Rise of Autonomous Infrastructure: How Self-Managing Systems Are Changing Cloud Operations
Cloud environments have become so complex that manual human management is no longer sufficient. Teams are now responsible for handling thousands of services, dynamic workloads, multi-cloud environments, and continuous deployments. Therefore, traditional methods of managing infrastructure do not scale anymore. That is the reason why autonomous infrastructure DevOps by 2026 is not a choice anymore…
Explore MoreSupply Chain Security in DevOps: Securing Open-Source
Software development teams can now release software at lightning speed. Unfortunately, speed is always accompanied by increased risk. Most modern-day applications rely heavily on open-source libraries, third-party services, and automated CI/CD pipelines. This dependency chain opens up a vast and very attractive attack surface. This is one of the reasons why DevOps supply chain security…
Explore MoreServerless CI/CD and Cloud-Native DevOps: The Way to Faster Deployment With Less Infrastructure Overhead in 2026
Simple and fast are the key traits of software delivery today in 2026. No more handling servers, patching build machines, or manual scaling of CI/CD infrastructure – engineering teams don’t want to do these things anymore. Code, quality, and customer value are where they want their focus to be. Without the burden of infrastructure and…
Explore MoreFinOps Meets DevOps: Controlling Cloud Costs Without Slowing Down Engineering Teams
Initially, the use of cloud computing allowed different teams to execute tasks more quickly, to scale their operations more feasibly and to bring new ideas to the market without being held back by the lack of infrastructure. Nevertheless, with the increase in the amount of usage, the spending on cloud often tends to get out…
Explore MoreAI-Driven DevOps: How AIOps and Predictive Automation Will Shape Software Delivery in 2026
Software delivery in 2026 is fundamentally different from what it was a few years ago. Speed alone is no longer the only goal. Today, engineering teams prioritize reliability, intelligence, security, and predictability. AI-driven DevOps, powered by AIOps and predictive automation, is the core of this transformation. When systems become more complex and release cycles are…
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