For companies to survive until 2022, they’ll need to focus on two things: Binaries and Edges. We’ve just wrapped up swampUP 2020, where we showcased this bold idea. We heard from you firsthand how DevOps Fast Forward is a must, and how software must be able to be distributed anywhere to enable the continuity of any business. Your experience confirmed how the global crisis has accelerated the digital transformation in your companies.

Today we’re announcing a new round of funding that brings an additional $27M to help us invest in growing and building Codefresh. When we started, we wanted to revolutionize the way people build and deploy software with continuous integration and delivery. I’m proud to say that we were the first platform to see the game-changing value of containers and Kubernetes.

This blog is part of our series on how to use Atlassian features, automations, and integrations to take time back to ship better code, faster. Click here for the full list of 12+ new features or follow us on Twitter to stay up-to-date! Picture this: you've landed in a Development team that practices DevOps religiously (or maybe you're even leading one!). But despite spending hours integrating your tools and reading your edition of the Phoenix Project, you still feel like there's something missing.

Machine Learning (and deep learning) applications are quickly gaining in popularity, but keeping the process agile by continuously improving it is getting more and more complex. There are many reasons for this, but primarily, behaviors are complex and difficult to anticipate, making them resistant to proper testing, harder to explain, and thus not easy to improve.

Since the inception of JFrog – with OSS Artifactory – we’ve been adamant that you simply cannot deliver software with any type of scale, speed, or reliability without a robust artifact management solution. Now, over a decade later, other vendors in the industry are finally starting to catch on. AWS recently announced its CodeArtifact service for binary management.