Curated articles, resources, tips and trends from the DevOps World.
Imagine a world where your Instagram froze anytime you uploaded a photo to your page. Asynchronous programming allows an application to do more than one thing at a time. Async operations speed computation, from your browser to highest of high-frequency trading operations
Have you ever found yourself in a situation where you need to deploy a quick Git repository on a machine within your LAN? If you’re a developer, chances are pretty good this task has fallen into your lap on several occasions.
Ukraine has a bright future. It will soon be time to rebuild. But rebuilding requires more than the resources needed to construct a hydroelectric plant or a hospital. It involves software and an understanding of how to use it.
Try to picture what a day at your machine would be like without access to the history of changes made to your software. You wouldn’t know who’d changed your software or why they’d changed it. Comparing any two versions of your software would be a huge pain.
The latest rollout of features in PostgreSQL 15 could accelerate Postgres overtaking legacy systems in the enterprise market. Postgres already has disrupted the market.
Do we want to stay on a social network that shows such callous disregard for its own people? That is the question many of us have been asking as news hit this morning that half of Twitter’s employees have been unceremoniously sacked.
Social media outlet Instagram diverted compute spend from its basic video encodings for more advanced encoding. The end result is improved higher video quality for users and more compute resource efficiency for Instagram, according to the company.
Kelsey Hightower is a minimalist. As such, he likes to tease through the noise and focus on what problem a solution is trying to solve.
As organizations increasingly adopt a cloud native approach to develop and scale up applications, containers and Kubernetes are playing a critical role in managing growing complexities and enabling workloads to be deployed in multicloud environments.
GPUs are a necessity for deep learning and other large-scale forms of machine learning, yet we don’t yet have the tools to manage them effectively as we can with regular CPUs. Especially with the costs of GPUs being what they are these days, you want to make sure you get the most for your money.
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