Operations | Monitoring | ITSM | DevOps | Cloud

See how env zero discovers and manages every cloud resource across AWS, Azure, and GCP—including resources deployed outside of Infrastructure as Code. In this overview, we walk through env zero's cloud resource discovery and environment migration capabilities. You'll see how the Cloud Compass dashboard maps your entire resource estate, how to tell whether a resource was created by IaC, click ops, or an API call, and how to bring existing Terraform workspaces and VCS repositories into env0 in bulk.

Turn manually-created cloud resources into Infrastructure as Code, then package that code into reusable templates your whole team can deploy. This walkthrough covers two env zero capabilities that work well together: using Cloud Compass to codify click ops resources into Terraform or OpenTofu, and building reusable templates so other users can deploy proven infrastructure without writing code or configuring integrations themselves.

How env zero keeps Infrastructure as Code under control at scale — custom roles and permissions, Policy as Code guardrails, and automated drift detection with remediation. This walkthrough covers env zero's governance features: building granular custom roles for your teams, enforcing policy guardrails that stop bad configurations before they deploy, and catching infrastructure drift the moment someone changes something outside the platform.

How env zero turns Infrastructure as Code into true self-service—developers deploy pre-approved infrastructure in a few clicks, and multi-step workflows handle the complex stuff automatically. This walkthrough shows what happens once discovery, codification, and governance are in place: developers pull from a catalog of approved resources without filing tickets or writing Terraform, and platform teams keep their guardrails intact. We also cover workflows, which chain multiple deployments into a single run.

PostgreSQL database development involves much more than writing and executing queries. Developers build applications, DBAs maintain database performance and reliability, analysts turn raw data into insights, and DevOps teams automate database delivery through CI/CD pipelines. In this video, you will see how dbForge Studio for PostgreSQL brings database development, management, data analysis, reporting, and automation into a single AI-powered PostgreSQL IDE.

A documented policy only works if every engineer remembers it, every time, under deadline pressure. That's the gap policy-as-code closes. This video covers what that actually looks like in practice: The instructions don't change. What changes is whether something actually enforces them, or just hopes someone reads them.

New updates are now available across InvGate Service Management and InvGate Asset Management. Watch the video for a quick look at our latest additions, including the AI Hub Reports to measure your Virtual Service Agent’s performance and the ability to interact with the Virtual Service Agent directly within Slack. We’ve also introduced an asset-based lease cost model for hardware contracts and added granular control over location and people access permissions by role.

Give Claude Code direct access to CircleCI and let it diagnose failed builds, fix issues, and keep iterating until your pipeline is green. In this tutorial, we walk through how to connect Claude Code to CircleCI using the CircleCI CLI. You’ll see how Claude can read pipeline results, identify test failures, make fixes, trigger new builds, and monitor CircleCI without leaving the terminal.

CircleCI now integrates with Cursor Origin, bringing scalable CI/CD to Origin-hosted repositories. In this demo, see how to connect an Origin repository to CircleCI, configure your pipeline triggers, run a build, and report CI status back to your Origin pull request. Already using CircleCI? Your existing.circleci/config.yml works as-is, with no Origin-specific CI syntax or separate config to maintain.

AI can write database schema changes in seconds, but nothing should reach production until it's validated, tested, and approved. In this discussion, Ken Muse (GitHub), Steve Jones (Redgate), and Huxley Kendall (Redgate) show how a governed pipeline keeps AI-generated database changes safe without slowing teams down.