Deploy applications to Kubernetes without the complexity. AI-powered debugging, one-click environments, and intelligent automation - all built specifically for Kubernetes workloads.
Complex YAML configs, cryptic error messages, pod failures
Complex cluster setup, networking issues, application dependencies
Overprovisioned pods, idle nodes, no resource optimization
Debugging pod failures, network issues, resource constraints
Analyzes YAML configs, prevents pod failures, fixes issues automatically
Complete environment replication with all workloads and configurations
Right-sizing pods, optimizing node utilization, reducing waste
Developers deploy confidently with built-in validation and rollback
Replace complex K8s toolchains with one intelligent platform built specifically for Kubernetes application deployment
Debug Kubernetes like you have a senior K8s engineer on call 24/7. Our AI understands YAML configurations, pod lifecycles, and cluster patterns specific to your applications.
Secure CI/CD pipelines designed specifically for Kubernetes. Visual builder that generates optimized K8s deployments with built-in security scanning and best practices.
Security built into every Kubernetes deployment. Automated K8s security scanning, policy enforcement, and compliance monitoring.
Break down your Kubernetes spend by app, infrastructure, and wasted resources. Get actionable recommendations to reduce costs without impacting performance.
Real-time monitoring, alerting, and observability for Kubernetes clusters and applications. Get instant insights into your K8s infrastructure health.
Automate Kubernetes deployments with GitOps principles and declarative infrastructure. Version control your K8s configurations and automate deployments with confidence.
One-click installation of popular Kubernetes applications and tools. Browse curated Helm charts, manage dependencies, and deploy to any cluster.
Everything you need to know about Atmosly.
Atmosly can work alongside your existing CI tools or replace parts of them. Most teams keep GitHub / GitLab for source and use Atmosly for Kubernetes-focused workflows: environment cloning, K8s-native pipelines, deployments, and AI-assisted debugging.
Atmosly works with AWS EKS, GKE, AKS, DigitalOcean, and on-prem/self-managed clusters. You can connect multiple clusters and manage them from a single control plane.
For an existing cluster, most teams connect their first cluster and ship the first deployment in under a day. More advanced use cases like cost insights and security policies typically go live in the first 1–2 weeks.
No. Atmosly uses your existing manifests/Helm charts. You can keep your Git structure as-is and gradually move workloads into Atmosly pipelines and environments.
Atmosly surfaces app vs infra vs wasted spend per cluster/namespace, highlights over-provisioned workloads, and recommends safe right-sizing changes. You can track the impact of these changes over time.
Atmosly runs continuous scans and policy checks (OPA/Kubernetes policies) on workloads and clusters. You can map checks to CIS, SOC 2, PCI and internal controls, and export reports for audits.
Yes. Atmosly uses secure, scoped access to your clusters, with role-based permissions and full audit logs of who changed what. You can restrict actions (e.g., read-only for some teams, deploy rights for others).
Pricing is typically based on a mix of connected clusters and features used (CI/CD, AI Copilot, cost insights, etc.). For most teams we start with a small pilot (1–2 clusters) and scale from there.
Both. Platform / DevOps teams set up guardrails, policies, and templates, and developers get a self-service UI to create environments, run pipelines, and debug issues without full cluster admin access.
Yes. You can try Atmosly in a sandbox or run a guided POC on one cluster. Most customers start with a 2–4 week POC focused on one clear outcome (e.g., preview environments or K8s cost visibility).
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