The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Developing a quality software is considered incomplete without writing tests. Not only does the test assure the quality but it profoundly helps developers while refactoring or re-writing a piece of code. When it comes to testing, having well-planned and thorough testing throughout the software development cycle is very important. The most commonly used types of tests today are unit tests and integration tests.
For engineering teams, CI/CD is the key to improving their development cycles. CircleCI is committed to helping our customers optimize their pipelines to streamline delivery to production. If your team values speeding your time to market, commit to trying these 5 best practices. These are CircleCI’s recommendations for cutting your development cycle times and improving your CI/CD processes in general.
There is a lot of buzz in the world of machine learning (ML) and as a layperson it can be hard to keep up with it all. Therefore, we decided to write down some of our thoughts and musings on how we are approaching ML at Netdata. We’ll touch on the current state of applied ML in industry in general, and zoom in on ML in the monitoring industry.
What do big mountain ascents and modern network operations have in common? You’ll only succeed when you’re learning from experience. This was one among many compelling takeaways that attendees took from our recent NetOps Summit. Centered on the theme “visibility anywhere,” this event featured a number of compelling presentations, including a keynote from Jimmy Chin, the professional climber, photographer, and Academy Award-winning filmmaker.
AWS Lambda is AWS’s solution for highly portable, serverless computing. With Lambda functions, you can deploy and run business logic code without managing the underlying servers. Today, AWS announced that Lambda customers can now provision up to 10 GB of ephemeral storage for each of their functions, making them well-suited for new, data-intensive workloads—including machine learning inference, large media file processing, financial analysis, and more.