Curated articles, resources, tips and trends from the DevOps World.
Enterprises are investing heavily in new applications that leverage generative AI to boost productivity and improve decision making, and many startups hope to capitalize on the opportunity with innovative new products. But how do you build and deploy a successful AI-powered product?
Every security tool and platform that purports to offer comprehensive security should at least include some aspects of eBPF.
As modern systems evolve, the need for reliable, scalable and real-time communication has never been greater. Pub/sub (publish-subscribe) is a messaging pattern that allows different components of a system to communicate asynchronously.
Ambassador Labs sponsored this post. Insight Partners is an investor in Ambassador Labs and TNS. As a former developer, I understand the pain of building, testing and deploying your own code. Now, as a CEO, I also understand the pain of a potential billion-dollar mistake.
Python is a powerful and versatile programming language. However, like any language, it comes with its own set of challenges. One common issue developers encounter is the KeyError exception.
Developer velocity is like weather: Everyone talks about it, the basic mechanics have been understood for decades, but can anyone really control it? The reason that features come out later than expected is an example of the John Kennedy quote: “Victory has 100 fathers and defeat is an orphan.
Developers, frontend or otherwise, need a way to tinker with AI models. A new offering by Red Hat allows frontend developers to do just that by working locally with AI models.
Technology’s role in business is growing at lightning speed, driven by the advent of artificial intelligence, the growth of hybrid and multicloud infrastructures, and the shift to hybrid work environments.
In the constantly evolving landscape of software development, continuous integration (CI) and continuous delivery (CD) have been foundational methodologies for efficient and reliable application deployment.
About one in four developers work overtime at least half of every month, according to a survey of devs and engineering leaders at large and mid-sized organizations.
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