Curated articles, resources, tips and trends from the DevOps World.
For modern enterprises, adopting open source isn’t a matter of “if,” but “when.” Open source’s momentum is remarkable and, more and more every year, open source is associated with cutting-edge technologies, cost savings, and a modernized technology stack.
We’re all aware platform engineering isn’t new. It’s the formal approaches and team structures, which have come into focus in recent years, that are justifying headlines.
Not so long ago, GitOps took DevOps by storm, offering a smoother and faster software delivery experience. There are numerous advantages to GitOps, making lives simpler for developers, DevOps and machines (workflows and pipelines).
14 years ago, I sat down with a representative from Wolfram|Alpha, which billed itself as a “computational knowledge engine.” I described it at the time as a tool that enables “users to type human-like statements and have computations done on those.
Things move fast in the world of infrastructure technology. It wasn’t too long ago when running a database on Kubernetes was considered too tricky to be worth it. But that was yesterday’s problem.
Fast and effective DevOps teams use internal developer platforms, but does platform engineering actually make organizations perform better? Humanitec’s 2023 DevOps study provides new data, that with the right context can provide some clarity into the relatively new world of platform engineering.
Cybercrime is a growing problem for higher education. Between 2020 and 2021, cyberattacks targeting the education sector increased by 75%. In line with other industries, the education sector is also experiencing a dramatic increase in ransomware attacks.
According to IBM’s “Securing the C-suite” report, most C-suite executives are confident in their cybersecurity plans. However, the truth is that only 17% exhibit the highest level of security.
Amazon DevOps Guru is a fully managed AIOps service that uses machine learning (ML) to quickly identify when applications are behaving outside of their normal operating patterns and generates insights from its findings.
Performance testing is a critical component of software testing and performance evaluation. It involves simulating a large number of users accessing a system simultaneously to determine the system’s behavior under high user loads.
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