Atmosly
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Cluster Operations CI/CD & Environments Cloud Provisioning & Guardrails

One platform to provision, ship, and run Kubernetes — with guardrails.

Three engines on a single control plane. Cluster operations that detect and fix incidents, scan for security drift, and cut cost. Full CI/CD for the workloads you already run, with cloned and ephemeral environments. Governed cloud provisioning — clusters, node groups, and resources, every action scoped, audited, and reversible.

Get a free 5-minute cluster audit Take the product tour
  • ✓ Read-only, agent-based
  • ✓ Live results in 5 minutes
  • ✓ No commitment
The Cluster Audit

Connect a cluster. See what's broken, exposed, and overspending — in 5 minutes.

Connect one cluster (read-only, agent-based). Atmosly runs an instant audit across all three cores — surfacing infrastructure issues, security findings, and cost savings. Everything shows up live on your Atmosly dashboard — SRE, security, and cost on one screen — in about five minutes. Free. No sales call required.

Start my audit → See the platform
Core 01 · Cluster Operations

Keep every cluster healthy,
secure, and right-sized.

Backstage and Port show you what's in your cluster. Atmosly does something about it. Three always-on capabilities run continuously on every cluster — detecting and fixing incidents, catching security drift, and cutting cost.

01 · Always-on

AI SRE Agent

Detects, diagnoses, and fixes. Watches pod health, resource usage, traffic patterns, and event streams. When something breaks, it explains why and opens a PR with the fix.

  • Auto-remediates OOMKills, CrashLoops, probe failures
  • Root cause in <1 minute · no Slack war room
  • Reads logs, metrics, and history together
  • Reversible: every fix is a PR you can revert
SRE Agent · live
just nowPod oomkilled · checkout-api
+18sRoot cause: 256Mi → p95 412Mi
+38sPR opened · memory bumped to 512Mi
02 · Continuous

Kubernetes Security

Continuous scanning against CIS, NSA Kubernetes Hardening, PCI DSS, and SOC 2. Detects drift across clusters. Generates the evidence pack auditors actually ask for.

  • CIS · PCI DSS · NSA · SOC 2 · HIPAA frameworks
  • RBAC, network policy, pod-security checks
  • Drift detection across every connected cluster
  • Audit-ready evidence pack export
⛨Compliance posture
CIS Kubernetes92%
PCI DSS78%
SOC 2 Type II84%
03 · Continuous

Cost Intelligence

See spend by namespace, service, and team. Find idle workloads. Get right-sizing recommendations the dev team can apply themselves. Not a spreadsheet — actionable signals.

  • Spend broken down to namespace + service granularity
  • Right-sizing recommendations from p95 usage
  • Idle workload & orphaned-volume detection
  • Showback dashboards by team
This month · across all clusters
$18,420 ↓ 31%
from $26,710 last month
prod · staging · preview · idle
The 2am incident

The same incident —
with and without an AI SRE agent.

A typical OOMKilled production pod, handled the way most teams handle it today — and the way Atmosly handles it for you.

TODAY

Without an SRE agent

  1. 02:14 Pager fires. On-call wakes up.
  2. 02:18 Slack war room. Four engineers pulled in.
  3. 02:42 "Have we seen this before?" Hunting through logs and dashboards.
  4. 03:25 Root cause found. Manual memory bump. Apply & pray.
  5. 04:10 Postmortem drafted. Five engineers in tomorrow's standup tired.
1h 56m · 5 engineers · 1 lost morning
WITH ATMOSLY

SRE Agent on autopilot

  1. 02:14 OOMKilled detected. SRE Agent activates. No human paged.
  2. 02:14:18 Root cause inferred. Memory request 256Mi · p95 usage 412Mi.
  3. 02:14:30 PR opened. Memory bumped to 512Mi, with the rationale attached.
  4. 02:14:52 Auto-applied. Policy-allowed change, pod healthy.
  5. 07:30 You read the morning digest. Already fixed.
38 seconds · 0 humans paged · 0 lost sleep
One platform · one workflow

From the first git push
to the auto-fixed pod — same platform.

CI/CD, AI SRE, security, and cost aren't four products bolted together. They're a single loop. Your code flows through Atmosly's pipeline into your clusters. Atmosly watches what's running. When something needs fixing, Atmosly opens a PR back to your repo. The loop is the product.

external Your repos GitHub · GitLab · Bitbucket
push / merge ▼
ATMOSLY one platform · one control plane · one audit trail
CI / CD pipeline → forward
01 ⊕ Source webhook trigger
›
02 ⚒ Build Docker · Buildpacks
›
03 ✓ Test unit · int · e2e
›
04 ⛨ Scan Trivy · OPA · SBOM
›
05 ⬢ Deploy GitOps · canary · BG
Your Kubernetes clusters
running services · across every cloud
EKS GKE AKS on-prem bare-metal
AI SRE feedback loop ← reverse
10 ⤴ Fix → PR reversible · approvable
‹
09 ✦ Diagnose root cause <1m
‹
08 ⚠ Detect incidents · drift
‹
07 ◉ Watch metrics · events · logs
‹
06 ◐ Observe post-deploy verify
always-on across every stage
⛨
Security Engine CIS · PCI DSS · SOC 2 · NSA Hardening · drift detection
₿
Cost Intelligence spend · right-sizing · idle detection · showback by team
CLOSES THE LOOP Atmosly opens a PR back to your repo → the same pipeline ships the fix
10 stops in the loop
1 control plane
1 UI · audit trail · permissions model
0 tools to integrate yourself
Core 02 · CI/CD & Environments

Run your full CI/CD pipeline on Atmosly.
And give your devs self-service on top.

The other half of the loop — the developer-facing surface. End-to-end CI/CD for Kubernetes, with security scans, multi-environment promotion, post-deploy hooks, and one-click rollback baked in. Plus self-serve preview environments and a curated Helm marketplace.

END-TO-END PIPELINE · ONE PLATFORM

Source → Production, in a single pipeline you don't have to wire yourself

01 ⤓ Source GitHub · GitLab · Bitbucket webhook triggers
›
02 ⚒ Build Docker, Buildpacks, Kaniko · build matrix
›
03 ✓ Test unit, integration, e2e · gates pass/fail
›
04 ⛨ Scan Trivy CVE · OPA policy · SBOM
›
05 ⬢ Deploy GitOps · blue-green · canary · rolling
›
06 ↻ Verify smoke · synthetic · post-deploy hooks
›
07 ⏏ Promote dev → staging → prod · approvals · audit
47min to first deploy, from a running workload
1-click rollback to any previous deploy, with full audit trail
100% GitOps-native · drift detection · sync controls
01

Workload → Blueprint → CD

Point Atmosly at a service that's already running. We read it, package it as a deployable blueprint, and wire a full CI/CD pipeline around it. No Jenkinsfile rewrite. No pipeline migration. Your existing CI keeps running until you're ready to consolidate.

avg time-to-first-deploy · 47 min
02

Visual + GitOps pipelines

Build pipelines in a drag-and-drop UI or commit them as YAML — same engine either way. Native GitOps with drift detection. Multi-stage promotion (dev → staging → prod). Approval gates. Post-deployment hooks. Full audit trail. One-click rollback.

GitOps · approvals · audit · rollback
03

Self-serve preview environments

Every PR gets its own governed environment. Seed data, RBAC, network policies, image scans, cost meter — all inherited from prod. Auto-expires when the PR merges. Developers stop filing tickets; platform engineers stop being a help desk.

avg env spin-up · 2 min · 0 tickets
04

Helm marketplace

A curated catalog of signed, vetted Helm charts — Postgres, Redis, Kafka, monitoring, ingress, and more. One-click install with your security policies and resource defaults pre-applied. Stop hunting for "production-ready" charts on the open registry.

200+ charts · scanned · policy-pinned
Layer 02 is included in every paid tier. Run your entire CI/CD on Atmosly, or start with just the SRE Agent and turn on the pipelines when your developers ask for them. Coexists with your existing ArgoCD / GitHub Actions / Jenkins setup.
See the pipeline in the tour →
Core 03 · Cloud Provisioning

Provision clusters, databases, and add-ons —
with guardrails built in.

Clusters, node groups, add-ons, databases — provisioned from a catalog, one-click or bring-your-own. Every request runs through the Guardrail flow you design, so nothing risky ships unreviewed, and everything is scoped, audited, and reversible.

01 · One-click or BYO

Resource Provisioning

Provision clusters, node groups, add-ons, and cloud resources from a curated catalog. Spin up fresh, or bring your own EKS, GKE, or AKS — Atmosly manages both the same way.

  • Clusters, node groups, add-ons & databases
  • One-click provision or bring-your-own cluster
  • EKS · GKE · AKS · on-prem, managed as one
  • Self-serve from a catalog — no ticket queue
Provision · request #88
catalogRDS PostgreSQL 15 · db.r6g.large
scopeprod-eu-west · Multi-AZ
applyprovisioning · one-click
02 · Every action

Guardrails

Design the rules once: situation → operation → module → action. Cost caps, region and instance allow-lists, and security baselines are enforced on every request — auto-approved when safe, escalated when not.

  • Policy: cost caps, region & instance allow-lists
  • Security baselines enforced before apply
  • Auto-approve under threshold · escalate above
  • Scoped, audited, and reversible — one-click revert
⛨Guardrail check · #88
passEncryption + backups enforced
passRegion in allow-list · eu-west
autoCost ≤ $500/mo · approved
03 · Curated

Helm Marketplace

A curated catalog of signed, policy-pinned Helm charts. Deploy the add-ons your platform needs without chasing versions or trusting unvetted sources — every chart ships through the same guardrails.

  • Signed charts, policy-pinned by default
  • Curated add-ons: ingress, observability, secrets
  • Version-pinned — no surprise upgrades
  • Installs pass through your guardrails too
Marketplace · signed
signedingress-nginx · policy-pinned
signedcert-manager · v1.14 pinned
signedkube-prometheus · curated
See it work

Pick the flow you care about.

Click through real product screens.

app.atmosly.dev / sre / incident-2014
critical incident-2014 2m ago
checkout-api · 4× restarts in 12 minutes
prod-eu-west · namespace: shop
[12:04:21] readinessProbe failed
[12:04:23] OOMKilled exit code 137
[12:04:28] SRE Agent triggered
[12:04:46] root cause inferred
[12:05:18] PR merged · pod stable
AI SRE diagnosis

Container memory request is 256Mi. p95 usage over the last 24h is 412Mi. Pod is being killed on every burst.

requests.memory: 256Mi 512Mi limits.memory: 512Mi 1Gi

confidence 94% · 8 similar incidents resolved

Detect, diagnose, fix. Not just "this pod failed" — the actual reason it failed, the change that fixes it, and the audit trail of every action.
app.atmosly.dev / security / posture
Compliance posture · all clusters
CIS K8s 92% +8 this wk
PCI DSS 78% 3 open
SOC 2 84% audit-ready
NSA Hardening 88% stable
Open critical findings · 3
CRIT
Pod allows privileged: true
prod-eu-west · ns: payments · pod: legacy-gw-7b
CIS 5.2.1 · PCI 1.4
CRIT
No NetworkPolicy on payments namespace
prod-eu-west · since 14 days ago
CIS 5.3 · PCI 1.3
CRIT
4 service accounts with cluster-admin
across 3 namespaces
CIS 5.1.1 · SOC 2
Continuous, not point-in-time. Every cluster, every change, scored against the frameworks your auditor cares about. With a click to export the evidence pack.
app.atmosly.dev / pipelines / checkout-api / run-#247
PIPELINE RUN #247 · checkout-api · main @ 4a2f1c8 · 6m 42s
01 Source GitHub · push to main 0.3s
02 Build Docker · multi-arch 2m 14s
03 Test 348 / 348 passed 1m 28s
04 Scan Trivy + OPA · clean 42s
05 Deploy staging canary · 10% → 100% 1m 06s
06 Verify smoke + synthetic 38s
07 Promote prod awaiting approval ·
full ci/cd · one platform
  • ✓ Source triggers from GitHub, GitLab, Bitbucket
  • ✓ Build with Docker, Buildpacks, or Kaniko
  • ✓ Test gates for unit, integration, e2e
  • ✓ Security scans with Trivy + OPA + SBOM, pipeline-blocking
  • ✓ Deploy strategies: rolling, blue-green, canary
  • ✓ Post-deploy hooks + synthetic checks + approval gates
  • ✓ GitOps-native: drift detection, sync controls, audit trail
  • ✓ One-click rollback to any previous deploy
47 min
average time to first production deploy
from a workload that's already running
End-to-end, no rebuild. Atmosly reads what's already running, packages it as a blueprint, and runs the entire pipeline — source to prod — on top. Or keep your existing CI and let Atmosly handle CD and post-deploy. Your choice.
app.atmosly.dev / provisioning / guardrails / request-#88
PROVISION REQUEST #88 · RDS PostgreSQL 15 · db.r6g.large · Multi-AZ · prod-eu-west
01 Request catalog · RDS PostgreSQL, scoped to prod-eu-west 0.2s
02 Guardrail check encryption + backup + Multi-AZ · pass 0.6s
03 Approval policy: auto ≤ $500/mo auto
04 Provision direct provision · in progress applying
05 Audit + revert logged · one-click revert ·
governed provisioning · guardrails on
  • ✓ One-click clusters, node groups, add-ons & cloud resources
  • ✓ Bring-your-own cluster (EKS · GKE · AKS) or provision fresh
  • ✓ Guardrail flows: situation → operation → module → action
  • ✓ Policy: cost caps, region/instance allow-lists, security baselines
  • ✓ Scoped, audited, reversible — one-click revert on any change
  • ✓ Signed Helm marketplace, policy-pinned by default
1-click
every provision request runs through
the guardrails you designed
Provision with guardrails on. Stand up clusters, node groups, add-ons, and cloud resources from a catalog — every request passes through the Guardrail flow you designed, so nothing risky ships unreviewed.
Try this on your own cluster → Free 5-minute audit. Read-only. Live on your dashboard.
Customer outcomes

Specific teams. Specific numbers.

Three engineering teams, three different acute pains. Same platform.

Payments · PCI scope
48 eng · 7 clusters
PCI evidence pulled in a day — not a quarter of audit prep
94% fewer 3am pages once the agent owned triage
We move money, so a failed audit just isn't an option — and prep used to eat a whole quarter. The part I didn't expect was incidents: most nights the agent has already opened a root-cause PR before I've finished reading the alert.
AP
Anurag Pandey Co-founder, Nimbbl
Read case study →
B2B SaaS · multi-tenant
22 eng · no DevOps team
30 deploys / day across every tenant, no release captain
0 DevOps hires and we're honestly not planning to
We kept telling ourselves we'd hire a DevOps person “next quarter.” Two years in, we never did. We ship around 30 times a day across all our tenants and nobody's sitting there babysitting a pipeline.
SS
Shashank Srivastava Co-founder & CTO, DexKor
Read case study →
Edtech · 4 production regions
20 eng
2 prod issues the agent caught in week one — our dashboards had missed them for months
1 pipeline every team self-serves the same one now — not 12 one-off pipelines
The SRE agent flagged two things in its first week that had quietly been paging us for months. And we finally retired the dozen one-off CI pipelines we'd hand-built per service — now every team ships on the same standard pipeline themselves, without waiting on DevOps to run it. That was an afternoon, not a migration.
VW
Viktor Westberg CTO, Mathleaks
Read case study →
The honest comparison

Portals visualize.
Atmosly executes.

Your real alternatives are an open-source stack you assemble yourself, a portal that surfaces what's already in your cluster, or a vendor like Devtron that does deployment but not SRE. Here's how the math works.

DIY OSS stack

ArgoCD + Prom + Trivy + Kubecost + glue

  • ✓ Each tool best-in-class for one thing
  • ✗ No connective layer between them
  • ✗ No AI SRE — alerts, not fixes
  • ✗ 2–4 engineer-weeks/year on upgrades
  • ✗ Brittle integration glue, on you forever
$0 in licenses · ~1 FTE forever in glue
Portal IDPs

Backstage · Port · Cortex

  • ✓ Nice catalog, scorecards, ownership
  • ✗ Visualizes — doesn't act on the cluster
  • ✗ No SRE agent, no security execution
  • ✗ Requires a platform team to build & maintain
  • ✗ Becomes a 2–4 engineer cost center
Permanent platform-team headcount commitment
CD-only vendors

Devtron · Rancher Fleet

  • ✓ Solid CI/CD for Kubernetes
  • ✗ No AI SRE agent
  • ✗ No always-on compliance scanning
  • ✗ No cost intelligence
  • ✗ Open-source means you carry break-fix
Deployment only · ops & security still on you
Atmosly

The connective layer with an AI SRE on top

  • ✓ Always-on AI SRE that fixes, not just alerts
  • ✓ CIS / PCI / SOC 2 scanning continuously
  • ✓ Cost intelligence + right-sizing
  • ✓ CD that reads your workloads — no rewrite
  • ✓ Coexists with ArgoCD, Prom, Trivy if you have them
  • ✓ Live in < 1 day · payback in week 3
One platform · zero platform-team hires required
Already evaluating a specific tool?
vs. Devtron → vs. Backstage / Port → vs. Rancher → vs. Komodor → vs. build-it-yourself →
Pricing

Three plans. Pick the one
that fits your team's stage.

Simple monthly pricing. Every plan starts with a 30-day free trial of Growth (full features) — no credit card required for self-serve.

Starter
Small teams · first clusters
$399 /mo
Launch $199/mo · first year

The full platform for a small team — cost, CI/CD, GitOps, SRE detection, and security in one place.

  • ✓ 2 clusters · 2 cloud accounts · 25 seats
  • ✓ 100 AI remediation actions / mo
  • ✓ Cost recommendations + manual apply
  • ✓ CI/CD + GitOps (ArgoCD)
  • ✓ Weekly security scans · Core CIS
  • ✓ Email support · 30-day retention
Start 30-day trial
Most popular
Growth
Scaling teams · automation
$1,299 /mo
Launch $799/mo · first year

Automation across the board — auto-PR remediation, automated cost actuation, and full FinOps.

  • ✓ 20 clusters · 10 cloud accounts · 75 seats
  • ✓ 750 AI actions / mo · Auto-PR remediation
  • ✓ Automated right-sizing + full cloud FinOps
  • ✓ All compliance (SOC2 · PCI · HIPAA · ISO)
  • ✓ Audited web terminal · fine-grained RBAC
  • ✓ Priority + Slack support · 180-day retention
Start 30-day trial →
Enterprise
Large / regulated organizations
Custom
Negotiated pricing & terms

Everything in Growth, unlimited, plus enterprise security, governance, and optional managed services.

  • ✓ Unlimited clusters, accounts, seats & AI actions
  • ✓ Auto-apply remediation · best AI models
  • ✓ SSO / SAML + SCIM (coming soon) · custom roles
  • ✓ Continuous scans · compliance export · 365-day+
  • ✓ Dedicated CSM + SLA
  • ✓ Optional SquareOps managed services
Talk to sales
INR pricing available for teams in India · See full pricing & comparison →
Common questions

What engineering leads
ask us in week one.

We've already automated everything — CI/CD works, Terraform manages clusters. Why do we need this?

Most of our customers are in exactly that spot. Automation runs the pipeline — but Atmosly answers different questions: what broke and why, how to onboard service #21 without copy-pasting the last twenty, what security drift looks like across your clusters this week. We sit alongside your automation, not in place of it.

We use ArgoCD, Prometheus, Trivy, Kubecost — why do we need another layer?

None of those tools is bad. The issue is the integration between them is custom-built and brittle, and there's no single pane connecting "deployment happened" → "incident occurred" → "security drift detected" → "cost changed." Atmosly is that connective layer. Plus the AI SRE — Prometheus tells you what's broken; Atmosly tells you why and what to do.

How do I know your AI SRE isn't just noise?

That's exactly what the free 5-minute cluster audit answers. We connect read-only, run an instant audit, and show you everything live on your dashboard. If the findings aren't useful, you walk away — no commitment, no follow-up sequence. We can share anonymized sample reports if you want to set expectations first.

Switching tools is too risky for us right now.

You don't switch. Atmosly runs alongside what you have. Import one cluster, pick one workload, see value in a day. The more complex your setup, the more value Atmosly provides — the SRE Agent and blueprint feature shine in messy environments. If it doesn't earn its place in 2 weeks, you walk away with no migration to undo.

How safe is it? You're reading our cluster.

Read-only by default. Agent-based or API-based, your choice. Customer data never leaves the cluster — we read events, metadata, and configuration only. ISO 27001 certified. SOC 2 Type II in progress. Self-hosted control plane available on Platform tier — your data never crosses your VPC boundary.

We're evaluating Devtron — it's open-source and free.

Devtron is a solid CD tool. Two things to think about: (1) how many engineer-weeks per year will you spend on upgrades, customization, and break-fix? Most teams find 2–4 weeks/year, which on a senior salary exceeds Atmosly's annual fee. (2) Devtron does deployments. It doesn't have an AI SRE, continuous security scanning, or cost intelligence. Happy to do a side-by-side.

Do we need a platform team to run this?

No — that's the point. DexKor runs 4 clusters with zero platform engineers. Nimbbl freed up two existing platform engineers to ship product instead. Atmosly is the platform team's work, as software.

What clusters and clouds do you support?

EKS (AWS), GKE (Google Cloud), AKS (Azure), and any conformant Kubernetes cluster — including on-prem and bare-metal. One pane of glass across all of them, with cluster-level security and cost rollups.

The Cluster Audit · free, 5 minutes

Connect one cluster.
See it all on one dashboard in minutes.

Read-only, agent-based. The SRE Agent finds live issues. The Security Engine sweeps it against CIS, PCI DSS, and SOC 2. Everything on one screen — no report to wait for, nothing to chase down.

Start my audit → Book a 15-min walkthrough
ISO 27001 · SOC 2 (in progress) · CIS Benchmark · RBAC + SSO