Capture a workload that already runs — spec, config, dependencies — as a versioned, parametrized blueprint. Then let any team self-serve it to any cluster from a golden-path catalog. No rewrite, no copy-pasted YAML.
Read a running workload's spec, config & dependencies.
Snapshot it into a versioned blueprint — no hand-written YAML.
Expose env, replicas & resources as safe inputs.
Publish to a catalog — any team, any cluster, self-serve.
Point Atmosly at a live workload. It reads the deployment, services, config, and dependencies as they actually exist — no greenfield manifest required.
Atmosly captures the workload as a blueprint with a version. Update the source and cut a new version — every deploy traces back to a known, reviewable definition.
Decide what's configurable: environment, replicas, resources, image tag. Everything else stays locked to the golden path, so self-serve never means free-for-all.
Publish the blueprint and any team can deploy it to any cluster — through the same guardrails and audit trail as everything else. No ticket, no platform-team bottleneck.
The reusable, governed building block that turns one good setup into the standard everyone ships.
Every blueprint carries a version with a readable history. Promote v3, compare it to v2, roll back if you need to — the same discipline as code, for deploys.
Expose exactly the inputs a team should touch — environment, replicas, resources — with types, defaults, and bounds. Everything else stays locked to the golden path.
Any team deploys from the catalog without filing a ticket or waiting on the platform team.
One blueprint targets EKS, GKE, AKS or on-prem — no per-environment fork.
Every self-serve deploy runs through the same policy checks and audit trail as the rest of the platform.
A blueprint is the deployable unit your pipelines promote and your preview environments clone — capture it once, and the rest of the CI/CD core reuses it everywhere.
Capture, ship, and run share one UI, one audit trail, and one permissions model.
Platform EngineeringA deep technical guide to how Atmosly built a CI/CD engine that processes hundreds of pipeline executions daily across customer environments on EKS, GKE, and AKS. Covers our four-layer architecture, three-layer caching engine, canary/blue-green/rolling deployments, DevSecOps pipeline, approval system, and pipeline observability at Kubernetes scale.
KubernetesLens, K9s, and Octant for Kubernetes management. We analyze performance, features, and how AI tools like Atmosly are changing the game.
KubernetesThe definitive guide for startups adopting Kubernetes. Learn why to start early, how to build a lean stack, and how to avoid the 'PaaS Trap' while maintaining developer velocity.
Connect a cluster, read-only to start. Capture a running service as a blueprint and see it ready to self-serve in minutes. Free, no sales call.