TRL analyzes Kubernetes manifests before deployment to detect misconfigurations, optimize resources, and identify security risks — before any of it hits your cluster.
TRL analyzes Kubernetes manifests before deployment to detect misconfigurations, optimize resources, and identify security risks — and explains every finding in plain language.
Scans manifests for over-provisioned resources, missing probes, and misconfigurations before anything ships.
Right-sizes resource requests and limits, so you're not paying for capacity you don't need.
Flags real security risk — from missing policies to exposed attack surface — before it reaches your cluster.
Turns every finding into a plain-language report, so the "why" is as clear as the "what."
TRL runs directly against your manifests — no cluster access required. Analysis-only, or the full optimize + validate + secure pipeline.
Clone the repo, install requirements, and run an analysis-only pass — fastest way to see what TRL finds.
python -m trl explain ./app.yaml
Every finding names the resource, severity, impact, and fix — as plain CLI output or machine-readable JSON.
python -m trl explain ./app.yaml --output=json
Run the full pipeline in dry-run mode, or wire it into CI/CD to fail builds on real issues.
python -m trl optimize ./app.yaml --dry-run
TRL is open source under Apache 2.0. Clone it, run your first analysis in under a minute, and see what's hiding in your manifests.
View TRL on GitHubClariops builds developer-first tools focused on clarity, reliability, and intelligence in Kubernetes and DevOps. TRL is the first step toward a broader platform for pre-deployment intelligence.