Curated articles, resources, tips and trends from the DevOps World.
Integrating observability tools with automation is paramount in the realm of modern IT operations, as it fosters a symbiotic relationship between visibility and efficiency.
When it comes to Amazon Web Services (AWS) infrastructure automation, the latest release of the certified amazon.
The use of Event-Driven Ansible to enable fact gathering from events is considered a “Getting Started” type of use case, but it can be extremely powerful.
Infrastructure automation is an area where systems administrators and IT operations teams can see some of the biggest benefits from automation, including time savings, reducing tedious manual work, and improving the overall health of their systems.
Cisco recently published an advisory pertaining to an active exploitation of a previously unknown vulnerability in the web UI feature of Cisco IOS XE Software when exposed to the internet or to untrusted networks.
Event-Driven Ansible became generally available in Ansible Automation Platform 2.4. As part of the release, Red Hat Insights and Ansible teams collaborated to implement and certify a Red Hat Insights collection integrating Insights events as a source of events for Ansible Automation Platform.
We’re so excited to introduce you to the newest addition to Red Hat Ansible Automation Platform on Microsoft Azure – The new landing page! Now with new deployments, a single web page that consolidates all you need to know about Ansible Automation Platform on Azure, how to get started, as well as
In a previous blog, I announced the tech preview of containerized Red Hat Ansible Automation Platform. With that we introduced a new feature to enable you to pre-seed configuration and content at installation time. This blog will take you through how that works.
Data platform provider AirByte has released an open source Python library to help speed the process for Python programmers to connect data sources with other destinations that would use that data. PyAirbyte provides over 250 data connectors for bridging different applications via API.
Packing is a handy Python tool that provides a dynamic way to pack and unpack values into a single data structure or take them out and assign them to multiple variables. This process greatly improves the reliability and adaptability of your code.
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