Curated articles, resources, tips and trends from the DevOps World.
Code Inspector just released a GitHub action to add a code quality check to your workflow! The GitHub action is slightly different from what our current GitHub App is doing: it is not performing extensive code reviews or publishing analysis reviews on our frontend.
In my previous article , i have covered monitoring using Prometheus along with Grafana. However, monitoring is incomplete without alerting. That’s why in this article i’ll cover the topic of alerting using the AlertManager integrated to Prometheus.
What are the tools you need to know about when you are applying for a DevOps interview? Just few days back, we spoke about Docker. But what else?
Today, I wanted to take some time to discuss key parts to a successful CI/CD process. Continuous Integration and Continuous Delivery, otherwise known as CI/CD, has become a very important part of the Software Development ecosystem.
Have you ever heard about AMQ Streams? It is a Kafka Platform based on Apache Kafka and powered by Red Hat. A big advantage of AMQ Streams is that as all Red Hat tools, it is open source. This article's about a common feature of Apache Kafka, called Kafka Connect.
The introduction to a blueprint for cloud-native development laid out groundwork for a deeper exploration of it's logical diagram. In this article we continu... The introduction to a blueprint for cloud-native development laid out groundwork for a deeper exploration of it's logical diagram.
Objective: We are creating a project where when a developer pushes code to Github and Jenkins job download that code and start a container with the environment containing all the requirements and help to improve accuracy.
When you run stateful container with Nomad, you need to consider how to persist data between Docker containers that run on different hosts. What you want is this: Independent of where the container runs, it should have access to the same data.
MLOps means (Machine learning + Operations). MLOps is communication between data scientists and the operations or production team. It’s deeply collaborative in nature, designed to eliminate waste, automate as much as possible, and produce richer, more consistent insights with machine learning.
In this post, we consider why we shouldn't nest event handler inside the Repeater loop and how we can escape it. At first sight, adding event handling for repeated items looks easy.
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