Curated articles, resources, tips and trends from the DevOps World.
AI, specifically large language models (LLMs), fundamentally changes software development. Those who have followed this trend have seen LLMs weave their way into every aspect of the development process, from the initial planning stages through maintenance and beyond.
With the likes of Starbucks, AWS and Warner Bros. all on the hunt for platform engineers, and platform engineers earning significantly more than related roles such as DevOps, the platform engineering movement is well and truly underway.
HeroDevs, a company that provides support and compliance for deprecated open source software, recently announced support for developers working with .NET 6, to complement its existing support for AngularJS, Spring, Vue 2 and other projects. Microsoft deprecated .
Did you know that enterprise companies that implemented Docker saw a 126% return on investment (ROI) over three years? In today’s rapidly evolving business landscape, companies face relentless pressure to innovate while managing costs and complexity.
Interest in AI has surged since 2020 and dominated conversations across headlines and boardrooms ever since.
Equipped with up to eight AMD Field-Programmable Gate Arrays (FPGAs), AMD EPYC (Milan) processors with up to 192 cores, High Bandwidth Memory (HBM), up to 8 TiB of SSD-based instance storage, and up to 2 TiB of memory, the new F2 instances are available in two sizes, and are ready to accelerate your
In Greek mythology, it took an arduous voyage of 10 years for the mighty Odysseus to finally return home to his wife Penelope, who waited patiently all the while suffering pretenders to the throne.
Discover Kubernetes' Scheduler Queueing Hint, enhancing pod placement efficiency and optimizing resource allocation strategies.
If you have ever come across code that was challenging to expand or maintain, you are not alone. Every developer deals with the difficulty of reviewing old code, which seems like a complicated puzzle.
The data landscape is undergoing a tectonic shift. While data warehouses have served as the system of record for decades, today’s plethora of use cases demands a more flexible approach. The answer? Unbundling the data platform.
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