AI Agent Solutions for Scalr

Scalr has redefined Terraform and OpenTofu (OTF) management for platform teams, but what happens when you blend its infrastructure backbone with real-time AI agent collaboration? With Runbear’s AI agent connected to Scalr, your team can access infrastructure insights, run automated reporting, and support DevOps workflows directly from Slack, Microsoft Teams, or Discord—simplifying collaboration and accelerating decision-making for every team member.

About Scalr

Scalr is a centralized platform designed for managing and executing Terraform and OpenTofu (OTF) workflows at scale. Its core features include centralized execution of Terraform runs, automated state management with powerful rollback and state locking, and robust integrations for version control and policy enforcement. Scalr provides both its own managed backend and support for external backends, giving organizations flexibility in governance. Typically adopted by platform, DevOps, and SRE teams at growing organizations, Scalr streamlines IaC operations, reduces risk, and empowers developers to focus on building, not managing state files or backend scripts. Its collaborative features make it a foundational tool for teams aiming to adopt infrastructure-as-code best practices across distributed environments.

Use Cases in Practice

Runbear’s integration with Scalr transforms how teams manage IaC workflows day-to-day. Imagine team members asking 'What’s the latest state of our production environment?' in Slack and instantly getting a detailed, AI-generated summary from Scalr. Scheduled digests ensure everyone sees daily changes without logging into dashboards. Troubleshooting becomes a breeze—just request analysis of the last failed run and the AI agent delivers the breakdown in plain language. Plus, no more hunting for best practices—on-demand Q&A lets the AI agent pull up PR policies or Terraform configuration instructions from your synced Scalr documentation and internal wikis. Together, these use cases empower platform, SRE, and DevOps teams to operate with unprecedented transparency, consistency, and speed—mirroring workflows that let Slack threads write your PRD and simplify business analytics for non-technical team members.

Scalr vs Scalr + AI Agent: Key Differences

With standalone Scalr, teams access powerful Terraform management, but manual steps, dashboard logins, and custom scripting are routine. Integrating Scalr with Runbear's AI agent automates daily status checks, delivers knowledge-on-demand, and empowers every team member to access and act on infrastructure intelligence directly from their chat app. This shift replaces repetitive manual processes with natural language-driven automation.

Implementation Considerations

Rolling out Scalr with Runbear involves a few practical considerations. Teams should allocate time for initial setup—connecting Scalr to the Runbear AI agent and determining which data, state files, and documentation are synced for retrieval. Team training is key: ensure everyone understands how to interact with the AI agent and which questions it can answer. Change management is another factor, as the workflow shifts from siloed dashboards to chat-based collaboration. Take stock of permissions and Scalr API token usage to maintain data security and proper governance. Finally, consider ongoing maintenance of your documentation and state syncing, so the AI agent delivers the most up-to-date insights. The payoff is significant—streamlined teamwork, reduced manual burden, and smarter, more accessible infrastructure knowledge for everyone.

Get Started Today

AI agents are transforming how teams interact with core platforms like Scalr. By embedding intelligent, chat-based automation into your team's workflow, you open the door to faster insights, more consistent reporting, and a truly collaborative DevOps culture. Ready to boost your infrastructure management with smarter, AI-powered automation? Try integrating Scalr with Runbear and experience the future of team-driven IaC collaboration directly inside Slack, Teams, or Discord today. Your team—and your Terraform environments—will thank you.