Operations | Monitoring | ITSM | DevOps | Cloud

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.

At Cloudsmith, we pride ourselves in being the central source of truth for your packages and build artifacts. We provide one global platform to centralize your assets and give you the control and visibility that you need as part of a modern DevOps process.

Ansible has become one of the most popular tools used by operations teams to automate their IT tasks. It allows them to quickly, and at the largest enterprise scale, manage the configuration of their IT systems. This includes software and infrastructure on-premise and in the cloud. Its open-source roots has allowed it to grow a large global community with an equally expansive ecosystem of integrations.