Curated articles, resources, tips and trends from the DevOps World.
Last summer, a remarkable opening keynote was given at Toronto’s CppNorth conference, and the conference was finally uploaded the video to YouTube shortly before New Year’s Day.
As companies increasingly rely on automated systems to drive efficiency and innovation, three essential elements have emerged as crucial to success: scalability, reliability, and security.
Within the realm of Linux, there are certain distributions geared specifically for business server usage. The most popular options include Red Hat Enterprise Linux, AlmaLinux, Rocky Linux, Oracle Linux and CentOS Stream. But those aren’t the only options available.
It’s an understandable reaction, when you consider that this release is a ground-up rewrite of the framework. The Tailwind team took “everything we’ve learned about the architecture over the years and optimizing it to be as fast as possible,” Wathan wrote.
After the recent review of Ghostty on The New Stack, I thought I’d take a look at it from the point of view of a Warp user. They are both terminal apps (GUI shells, if you like), although Warp is decidedly more heavyweight in terms of features (including AI).
When we started Nexla in 2016, our mission was to make data readily available to any data consumers, which also involved making it easier to integrate apps. We believed that ML and AI would completely change data engineering.
Octopus Deploy sponsored this post. Insight Partners is an investor in Octopus Deploy and TNS. No matter how clearly we explain what we want, our system of rewards can undermine our efforts to improve. Incentive structures are common in the workplace, whether intentional or not.
On Tuesday, the newly-elected U.S. President Donald J. Trump signed an executive order that gave TikTok a 75-day reprieve from being shut down in the U.S. by the Justice Department, much to the delight of fervent TikTok users.
Ignore the anecdotal stories you’re hearing about AI workloads driving a migration from the cloud to on-premises and private cloud environments.
Vector database growth shows no signs of slowing in the year and years ahead, with Forrester predicting that most organizations will have vector databases in production by 2026. However, vector databases and their challenges will change dramatically, especially when used at scale.
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