Curated articles, resources, tips and trends from the DevOps World.
This blog post is co-authored with Ian Miller. 5G and beyond mobile networks are requesting automation capabilities to rapidly scale up their service rollout. To that end, Kubernetes and cloud-native infrastructures unlock a great deal of flexibility through declarative configuration.
The steps below detail how to install Red Hat Ansible Automation Platform on Google Cloud from the marketplace. Before starting the deployment process, please ensure the Google Cloud account you are using to deploy has the following permissions.
When Netlify acquired one of its former competitors, Gatsby, in February, I noted that its use of the term “Jamstack” (which it coined in 2016) wasn’t so prominent in its marketing anymore. “Composable architectures” appeared to be the new catchphrase.
Jit sponsored this post. Jit is under common control with TNS. Amazon Web Services has proven over the last 15+ years since EC2 was launched to be the cloud market leader, and any company born in the cloud often selects AWS to get off the ground.
Aqua Security, a leading cloud native security figure, has unveiled alarming findings after a three-month investigation by its research team, Aqua Nautilus.
This is the first in a two-part series. The further we get from the origin of a piece of technology, the easier it is for us to take for granted the incredible amount of work and huge leaps in innovation that were required to get us to where we are today. Databases are one such piece of technology.
Before we cover what happens before WebAssembly can seamlessly support most, if not all, of the principal languages in use today, the status quo needs to be stated: we are still a ways away before the developer writes their code with zero extra configuration necessary for Wasm modules in order to de
Intel has made an under-the-radar change [pdf download] in its chips that have long-term implications in helping software run faster on servers and PCs.
SingleStore sponsored this post. SingleStore is under common control with TNS. Modern Large Language Models (LLMs) are pre-trained on a large corpus of self-supervised textual data and are then tuned to human preferences via techniques such as reinforcement learning with human feedback (RLHF).
Over the past few decades, using big data sets required businesses to perform increasingly complex analyses. Advancements in query performance, analytics and data storage are largely a result of greater access to memory.
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