
Terraform has revolutionized infrastructure management, providing a simple and efficient way to provision and manage cloud resources using code. However, implementing and managing Terraform at scale can be challenging, especially for teams collaborating on infrastructure changes. Enter Atlantis, an open-source tool that streamlines the Terraform workflow and fosters collaboration. In this blog post, we'll explore the basics of Atlantis, its key features, and how it can enhance your Terraform experience.
Atlantis is a self-hosted application that automates Terraform workflows, enabling teams to collaborate on infrastructure changes effectively. It integrates seamlessly with popular version control systems, such as GitHub, GitLab, and Bitbucket, and facilitates code review and approval processes. By automating many of the manual steps involved in executing Terraform commands, Atlantis improves productivity, reduces human error, and ensures a consistent workflow across your team.
Setting up Atlantis is straightforward. First, you'll need to deploy the Atlantis server on your infrastructure, which can be done using Docker, Kubernetes, or other deployment methods. Next, you'll configure the Atlantis server by providing credentials for your version control system and specifying the repositories it should monitor. Once the server is up and running, you can start using Atlantis to manage your Terraform workflows.
To install Atlantis on AWS, you can follow these general steps:
Stream is the AI-native platform built to fight AI-enabled attacks. It autonomously prevents, detects, hunts, and remediates exposures and threats across production at machine speed - driving risk toward zero. It replaces the fragmented stack of scanners, runtime agents, exposure tools and playbooks with one live model of production.Defending Production needs a new approach: Stream is the only Autonomous Production Defense Platform that works across your entire production estate. It runs on a patented CloudTwin®, a high-fidelity security data harmonization layer that models Cloud, SaaS, identity, runtime, AI, network, perimeter, on-prem, security controls, and the behavior running on top of them into one live model of production: real-time, fully correlated, continuously updating. Not a snapshot. And it does not stop at boundaries - the boundaries that fragment every other tool are the same boundaries an attacker moves across. Inside CloudTwin they are one system.

