The Datadog Agent, written in Python, faced challenges with its installation process due to varying versions of Python across different OS distributions and the need for third-party libraries. Before Agent 5.0, users had to manually install dependencies, which could lead to compatibility issues or conflicts with existing applications. To solve this problem, Datadog implemented Chef Omnibus, a tool that creates full-stack installers for projects across various platforms. The new build process combines Github, Jenkins, Vagrant, and S3 to create self-contained installer packages containing all the dependencies needed by the Agent. Upon installation, these dependencies are isolated in /opt/datadog-agent, ensuring compatibility with existing applications. This improvement allows users to add integrations and access new features more easily without worrying about dependency conflicts or issues related to different Python versions.