Curated articles, resources, tips and trends from the DevOps World.
ServiceNow today announced it has added four new integrations with DevOps platforms to its IT service management (ITSM) platform delivered via the cloud. The four integrations add native support for Microsoft Azure Pipelines, a Jenkins Plugin, GitHub Actions and GitLab pipelines.
Bitbucket users frequently need to make quick work of simple file edits as part of the submit or PR process. They need to. But ‘quick’ may not be the right description.
MLOps is a term you have probably started hearing increasingly often in the machine learning space — and for good reason. MLOps is a set of techniques for putting models built by data science and machine learning engineering teams into production.
Thank you to everyone who joined us over the past two days for the AnsibleFest 2020 virtual experience. We had such a great time connecting with Ansible lovers across the globe.
As chaos engineering becomes a more mainstream way of proactively seeking out your system’s weaknesses, we see it applied to increasingly complicated circumstances and with teams of all sizes. One such area is serverless.
This article will give some best practice tips for designing useful data marts for your business teams. Data marts are the business user interface of your data warehouse. I have tried to explain how to design an enterprise data warehouse in my first article.
Dr. David Brumley Dr. David Brumley co-founded ForAllSecure to automatically check and protect the world’s software. ForAllSecure’s products are based on over 10 years of his research in program analysis.
What is Platform Engineering? Platform Engineering Team Who are the customers? When is it useful? Challenges with Platform Engineering Conclusion Caution: Platform is a widely used term to define various types of platforms, so be careful about using it.
Thundra sponsored this post. Often the mark of a revolutionary idea is that at first, it seems totally stupid. Take Twitter: in 2006 when the service launched, most people had a hard time seeing its potential. To make matters worse, Twitter was not only weird, it was also unreliable.
In the ancient times of containers (really more like 4 years ago) Docker was the only player in the container game. That’s not the case anymore though and Docker is not the only, but rather just another container engine on the landscape.
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