In several projects of late, I have noted a trend in otherwise rockstar IT departments: They identify an area that they wish to implement or approve and then set out to address it. So, “We need a new CI tool,” spawns a project to choose and implement a new CI tool, for example. But there […]
0 CommentsA CloudBolt survey found more than three-quarters of respondents said it will take two to three years to see real FinOps-driven results. Source: DevOps.com
0 CommentsIn last week’s AWS Week in Review post, Danilo mentioned that it’s summer in London. Well, I’m based in Singapore, and it’s mostly summer here. But, June is a special month here as it marks the start of durian season. Starting next week, I’ll be travelling to Thailand, Malaysia, and the Philippines. But before I […]
0 CommentsTabnine this week made available in beta a tool that enables developers to use natural language to interact with the artificial intelligence (AI) models embedded within its test automation platform. Brandon Jung, vice president of ecosystems for Tabnine, said Tabnine Chat extends generative AI capabilities the company developed to make it simpler for developers to […]
0 CommentsSomeone once said, “Life is better at the lake.” That may be true in the physical world, but when it comes to using data lakes for observability, that’s not typically the case. Just about every organization in every industry has a digital presence, whether it’s a website, an app or another digital service. This makes […]
0 CommentsAI can support monitoring and observability by analyzing logs and metrics to predict potential system failures or performance degradation. Source: DevOps.com
0 CommentsApplitools acquired Preflight, which provides a low-code automation platform that makes it possible for developers to write their own tests. Source: DevOps.com
0 CommentsIn this week’s #TheLongView: Red Hat Enterprise Linux (RHEL) goes closed source. Well—not really, but … Source: DevOps.com
0 CommentsIn my recent article Revolutionizing the Nine Pillars of DevOps with AI-Engineered Tools, I explained that the continuous delivery pillar is an approach where code changes are automatically built, tested and prepared for release to production; this may be followed by continuous deployment where an approved release is automatically deployed to the production environment. The […]
0 Comments