GitLab CI Alternative

Keep your .gitlab-ci.yml. Add the runtime loop.

GitLab CI is a capable, well-integrated pipeline engine. But it stops where deployment lands — incidents, live posture, and cost are still yours to assemble. Atmosly adds GitOps-native delivery and the operate-secure-optimize loop on top.

  • Pairs with your CI
  • Read-only to start
  • No self-host upgrades
The Kubernetes delivery loop · coverage GitLab CIAtmosly
Provision
Clusters, cloud resources & add-ons
Build & Deploy
Visual CI/CD · GitOps · approvals
Operate
AI SRE · root cause · fix PRs
Secure & Optimize
CIS/PCI/SOC 2 posture · FinOps
GitLab CI is strong where it overlaps. Atmosly covers the full loop on one control plane.
The honest picture

Two good tools, built for different scopes

Both work with Kubernetes. The real question isn't whose feature is better — it's how much of the lifecycle you want one product to own.

CI/CD in GitLab

GitLab CI is a capable, well-integrated pipeline engine, configured in YAML and run by GitLab Runners — a strong choice when your code, reviews, and pipelines all live in one place.

Its Kubernetes runtime story is thinner: no AI incident response, security that's scan-and-report rather than continuous posture, and cost handled elsewhere. Self-managed runners are yours to scale and patch.

  • No AI SRE or automated root-cause
  • Security is scan-time, not continuous posture
  • No native Kubernetes cost intelligence
  • Self-managed runners to scale & patch
Full delivery loop

Atmosly is one unified Kubernetes platform. Code flows through visual CI/CD and GitOps; the AI SRE agent watches what's running and proposes ranked fixes; the security engine scans posture continuously; and cost intelligence shows where the money goes.

It's fully managed and agent-based — no self-hosted upgrades to chase. And the SquareOps services team can implement and run it for you.

  • AI SRE: root cause + ranked fix PRs
  • Continuous CIS / PCI / SOC 2 posture
  • Built-in cost intelligence & FinOps
  • Fully managed — zero upgrade toil
Why teams move

GitLab CI ships code. Atmosly runs what ships.

Your pipelines get code to the cluster. Atmosly owns what happens next — incidents, compliance posture, and spend — without leaving the platform.

01 — Operate

An AI SRE for what's running

When a pod OOMKills or a service crash-loops, Atmosly infers the actual root cause and opens the PR that fixes it — with a full audit trail. Read-only by default, every action reversible.

  • Root cause in under a minute, fix proposed
  • Read-only by default — every action reversible
  • No runbooks to write, no rotation to staff
incidents · live
api-gateway · CrashLoopBackOff
root cause: OOM · memory limit too low
fix ready
checkout · p99 latency ↑
root cause: missing index on orders
fix ready
worker-queue · resolved
auto-scaled · 2m ago
healthy
posture · continuous
CIS Kubernetes Benchmark
142 / 148 controls passing
96%
PCI DSS · network policy
3 namespaces missing isolation
evidence
SOC 2 · audit export
ready · last run 1h ago
ready
02 — Secure

Continuous posture, not a build-time scan

Always-on scanning against CIS, PCI DSS, SOC 2, and NSA hardening, with audit-ready evidence on demand — watching the live cluster for drift, not just images at build time.

  • CIS · PCI · SOC 2 · NSA frameworks built in
  • Drift caught on the running cluster
  • Audit-ready evidence exported on demand
03 — Optimize

Cost you can see, leaks closed automatically

Per-namespace and per-workload cost, right-sizing from real usage, and waste detection built in — reconciled to your bill, with guardrails that scale non-prod down on a schedule.

  • Cost by service & namespace, reconciled to the bill
  • Right-sizing from real usage, not guesswork
  • Guardrails scale non-prod down on a schedule
cost · last 30 days
$24.6k
current run-rate · month
−$7.4k
right-sizing opportunity
staging idle · nights & weekends
−$3.2k
payments-api · over-requested CPU
−$2.6k
Side by side

GitLab CI vs Atmosly, capability by capability

The capabilities below are the ones Atmosly brings to one platform. We've kept GitLab CI's genuine wins in the table too.

Capability
Kubernetes CI/CDVisual pipelines for build & deploy
Visual pipelines
YAML pipelines
GitOps deploymentDeclarative, Argo / Flux-based
Native, built-in
Agent / DIY
AI SRE agentRoot cause & automated fix PRs
Root cause + auto PRs
Not available
Security & complianceContinuous posture vs build-time scan
Continuous CIS/PCI/SOC 2
Scan-time only
Cost intelligenceNative FinOps & right-sizing
Built-in
Not included
Cloud provisioning & guardrailsGoverned IaC, scheduled ops
Governed IaC built-in
Not included
One-vendor SDLCRepo, MRs, CI together
Connects to GitLab
Built into GitLab
Runtime operationsAfter the deploy
AI SRE + posture + cost
Out of scope
Runner maintenanceWho scales build infra
Managed
Self-managed runners
Hosting & upgradesWho runs the platform
Fully managed
SaaS or self-managed
Open-source / licenseUp-front software cost
Paid subscription
Free tier + paid
ScopeWhat the platform covers
Full loop: CD + SRE + Sec + Cost
CI/CD in a suite

GitLab CI's strengths are real for the job it's built for. Atmosly's case is scope and managed operations across the whole loop.

An honest call

Which one is right for your team?

Here's how to decide based on scope and who you want running the platform.

Choose GitLab CI if…
  • Your whole SDLC already lives in GitLab
  • You want CI tightly coupled to MRs and issues
  • YAML pipelines suit your team well
  • You need GitLab-specific features beyond CI
  • You prefer one vendor for repo + pipelines
Choose Atmosly if…
  • You want delivery plus AI SRE, security & cost in one loop
  • You'd rather not spend engineer-weeks self-hosting a platform
  • Continuous compliance posture matters, not just scans
  • You want auto root-cause and fix PRs for incidents
  • You'd like a partner (SquareOps) to implement and run it

The bottom line: If your whole SDLC lives in GitLab and CI tightly coupled to merge requests is the priority, GitLab CI fits well. If you want Kubernetes runtime operations on the same platform as delivery, that's Atmosly.

Moving over

From GitLab CI to Atmosly in an afternoon

No big-bang migration. You connect read-only, see value first, and adopt the rest of the loop at your own pace — keeping the GitOps and Helm you already run.

01

Connect read-only

Import your existing EKS, GKE, or AKS cluster — public or private — in minutes. Nothing changes; Atmosly just starts observing.

02

Bring what you run

Point Atmosly at your existing clusters, Git repos, and Helm releases. It's standard Kubernetes underneath — nothing to recreate.

03

Turn on the loop

Switch on visual CI/CD, the AI SRE agent, continuous security, and cost intelligence as you're ready — one capability at a time.

04

Hand off the toil

Atmosly is fully managed — no self-host upgrades to chase. SquareOps can run day-2 operations for you if you'd like.

Questions

What teams comparing GitLab CI ask

Can we keep GitLab for source and reviews?
Yes — Atmosly connects to your repos and takes over Kubernetes delivery and operations while code, issues, and reviews stay in GitLab.
How is this different from GitLab's Kubernetes integration?
Atmosly is purpose-built for Kubernetes: GitOps delivery with approvals and rollback, an AI SRE for incidents, continuous posture, and cost — not a general DevOps-suite add-on.
Do we still run our own runners?
No. Atmosly is fully managed and agent-based, so there's no runner fleet to scale or patch.
What about GitLab's security scanning?
Atmosly complements scan-time checks with continuous posture against CIS, PCI DSS, and SOC 2 on the live cluster, with audit-ready evidence.
How hard is it to migrate from GitLab CI?
Not very, and it's incremental. You connect a cluster read-only and see incidents, posture, and spend immediately, then adopt delivery, security, and cost one capability at a time — there's no big-bang cutover, and the SquareOps services team can run the migration for you.
Which clouds and clusters does Atmosly support?
Any conformant Kubernetes cluster — EKS, GKE, AKS, or self-managed, public or private. You import the cluster you already run read-only in minutes, with nothing to recreate.
Will Atmosly lock us in?
No. It runs on your own clusters on standard Kubernetes, Helm, and Git underneath, so what you build stays portable. Atmosly is the layer that operates your workloads, not a place they're trapped.
Do we host Atmosly, or is it managed?
It's fully managed and agent-based — there's no control plane for you to host, patch, or upgrade — and SquareOps can run day-2 operations for you if you'd like.

Keep what works. Close the loop.

Connect a cluster read-only and watch your deploys, incidents, posture, and spend show up in one place — in minutes. Free, no sales call.

Start a free cluster audit → See pricing