Curated articles, resources, tips and trends from the DevOps World.
Honeycomb is sponsoring The New Stack’s coverage of Kubecon+CloudNativeCon North America 2020. Ever wonder about the state of security of cloud native computing projects? You should. As anyone who’d ever tried to secure Kubernetes knows it’s not easy.
We are now living in a pivotal point in our history. Humankind is actively trying to find new answers to forging the right balance between the needs of nature and modern living.
While valuable, secrets management also can be difficult for DevOps teams to employ. Here’s what you need to know Business is all about speed. Companies want to innovate and deliver functionality faster to remain competitive.
Automation is the creation and application of technologies to produce and deliver goods and services with minimal human intervention.
GitLab is a web-based DevOps lifecycle tool that provides a Git-repository manager providing wiki, issue-tracking, and continuous integration and deployment pipeline features, using an open-source license, developed by GitLab Inc. Why is GitLab used for?
Honeycomb is sponsoring The New Stack’s coverage of Kubecon+CloudNativeCon North America 2020. One of the things that makes us human is pattern recognition. From a very early age, patterns help us make predictions, understand relationships and process complexity.
MLOps can be difficult for teams to get a grasp of. It is a new field and most teams tasked with MLOps projects are currently coming at it from a different background. It is tempting to copy an approach from another project. But the needs of MLOps projects can vary greatly.
Networking is often overlooked topic by both developers and DevOps engineers. Yet it’s at least to a certain extent integral part of every system and application.
It’s a given that all organizations at some point will suffer from poor development practices when trying to find the perfect balance between software development and IT operations.
Heuristics in computer science and artificial intelligence are “rules of thumb” used in algorithms to assist in finding approximate solutions to complex problems.
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