DevOps Articles

Curated articles, resources, tips and trends from the DevOps World.

Oh Dear
Oh Dear The all-in-one monitoring tool for your entire website
Fathom
Fathom Fathom Analytics: A Better Google Analytics Alternative
Wispbit
Wispbit Open Source AI Code Review for Teams
Marblism
Marblism All-in-one AI Agents who handle the busywork, so you can focus on growth
Namecheap
Namecheap
9 months ago 2 min read

A Guide to Python Priority Queue

Discover how Python's priority queue enhances performance by managing tasks based on priority, crucial for efficient DevOps practices.
9 months ago 1 min read

QA in The Age of AI: From Pawns to Supervisors

Discover how AI is transforming quality assurance in DevOps, enhancing efficiency and accuracy in testing processes.
10 months ago 1 min read

Introducing Impressions at Netflix

Discover Netflix's new 'Impressions' feature, designed to enhance DevOps practices by providing real-time insights into user experience.
10 months ago 1 min read

The Cloud Controller Manager Chicken and Egg Problem

Explore the chicken-and-egg problem in Kubernetes cloud-controller management and solutions for seamless integration.
10 months ago 1 min read

C# Dictionary: How to Create One and Best Practices

Learn to create efficient C dictionaries with best practices for memory management and data handling.
10 months ago 1 min read

Python argparse: Definition, How to Use, and Best Practices

Discover how to enhance your Python scripts with argparse for better command-line interfaces and user experience.
10 months ago 1 min read

Announcing ARM builds in cloud for Bitbucket Pipelines

Discover how ARM builds in Bitbucket Pipelines enhance cloud-native CI/CD solutions, optimizing performance and reducing costs for developers.
10 months ago 1 min read

Introducing step failure strategies in Bitbucket Pipelines

Discover step failure strategies in Bitbucket Pipelines, enhancing error handling and workflow efficiency for DevOps teams.
10 months ago

Developers: The Last Line of Defense Against AI Risks

It’s no secret that AI/ML and large language model (LLM) technologies are reshaping the software development landscape. As the use of large language models becomes more pervasive, the task of incorporating AI and ML into software products increasingly falls to developers.

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