Devops
DevOps began years ago as a new hype, as all new developments do. Since then, thanks in part to the rise of the cloud and cloud-native, it has become the definition of how IT is managed. Many companies are looking at their business processes and how they can be optimized in the cloud era. This usually means developing new applications and tools. Development and operations teams must work closely together in this process to achieve the best possible outcome for the business. On this page you can read all about recent developments in this area. There is a lot of focus on cloud-native development, especially containers and Kubernetes, but also on issues such as low-code and no-code development. It is clear; DevOps is here to stay.
Timeline
Elastic and OpenAI bring unstructured data to AI
Elastic and OpenAI are expanding their partnership. Elasticsearch will serve as a context layer for OpenAI mo...
Amazon sees AI projects go off the rails due to unexpected costs
The use of AI is intended to accelerate software development, but within Amazon, it sometimes turns out to be...
MCP becomes stateless: major update makes servers more scalable
With version 2026-07-28, the Model Context Protocol (MCP) is undergoing its biggest overhaul to date. The cor...
Boomi completes acquisition of AI gateway Lunar.dev
Boomi has completed the acquisition of Lunar.dev. The Israeli company specializes in AI gateways, a control l...
GitHub and PyPI are delaying updates to reduce attackers’ opportunities
GitHub and PyPI are implementing new measures to better protect software developers against attacks via the s...
Fake GitHub projects lure AI agents into malware
Cybercriminals are using thousands of fake GitHub repositories to spread malware, specifically targeting the ...
GitLab 19.2 lets AI agents resolve vulnerabilities on their own
GitLab has released version 19.2. This release further expands the agent-based automation of the Duo Agent Pl...
Harness brings the entire agent lifecycle to a single platform
Harness is expanding its platform with Agent DLC, an approach that covers the entire lifecycle of AI agents. ...
MCP update prepares AI agents for widespread deployment
The Model Context Protocol (MCP), the open standard that enables AI models to connect to external application...
Jira update brings more context to agents via Teamwork Graph
Atlassian is significantly expanding Jira with features for AI-native software development. Teams can now con...