DevOps

CI/CD runners on your own infrastructure

GitLab/GitHub runners on your infrastructure: faster cache, closer to your registry and cluster, without shared SaaS runner limits.

Ask about runnersPricing from 99 zł

For whom

Teams with frequent deployments
Companies burning through SaaS CI/CD limits
Projects with heavy Docker caching
Teams with build-related compliance requirements

What you get

GitLab CI / GitHub Actions runners
Docker cache close to the cluster
Harbor registry integration
Runner scaling under load
Job-queue monitoring
Securely isolated builds

Packages and pricing

Prices net per month, starting proposals

Harbor Shared S
50 GB · shared
99 zł
Ask about a package
Recommended
Harbor Shared M
200 GB · shared
249 zł
Ask about a package
Harbor Dedicated
custom · dedicated
od 1 290 zł
Ask about a package
Harbor HA
custom · HA
od 2 990 zł
Ask about a package

For HA — a quote after a short assessment. Add-ons (1h backup, PITR, read replica, migration) are quoted clearly before deployment.

Why it's worth it

Why it's worth handing this to us

Dev tooling under care
Registry, runners and CI must stay current and secure.
Supply-chain security
Image scanning, RBAC and retention.
Faster pipeline
Resources near the cluster shorten deploys.
In every package

The standard you don't pay extra for

Backup and restore
24h backup by default, 1h backup and PITR optional, restore on demand and recovery tests.
Monitoring and alerts
Metrics, logs and alerts matched to your risk — you know about an issue before a customer reports it.
Security and access
SSL/TLS, access restrictions, RBAC, hardening and private networks and VPN.
Deployments and updates
GitOps, Helm, CI/CD, maintenance windows and prepared rollback procedures.
Locations PL / FR / DE / USA
We pick the region for latency, cost and EU compliance.
Documentation and care
Environment description, runbook, emergency procedures and contact with a technical person.
Managed vs in-house

Why managed costs less than an in-house hire

A single in-house specialist rarely covers 24/7, backup, monitoring and SLA at once. Here's a realistic comparison.

Your own specialist (in-house)
One salary = one person
A senior admin/DevOps is a full employer cost of ~18–25k zł/mo — and it's still just one person.
Available 8–16
Working hours, holidays, sick leave and weekends. A night outage waits until morning.
Backup on their shoulders
Separate tooling and storage cost; restore tests often skipped.
No formal SLA
No one guarantees response time; knowledge sits in one head (bus factor).
Tools and training
Monitoring, licenses, certs and training add to the salary.
VITAL CLOUD Managed
A 24/7 team
Many people, on-call and procedures. Someone's there even when your admin sleeps.
SLA in writing
An agreed response time per package, not goodwill.
Backup in 3 locations
Copies in three places, with validation and deduplication, and restore tests.
Service monitoring included
Alerts before a customer reports it; automatic service recovery after a failure.
Auto-provisioning
We start services automatically and repeatably (GitOps/IaC).
What it really costs per month
ItemIn-houseVITAL CLOUD
Specialist1 FTE ~18–25k zł/mo (8–16, holidays)24/7 team included in the package
AvailabilityBusiness days, working hours24/7 per package
Backup+tools and storage, tests often skipped3 locations, validation, deduplication — included
MonitoringSeparate tools + configurationIncluded, with alerts and auto-restart
SLANone / informalFormal, in writing
Bus-factor riskKnowledge in one headProcedures, runbook, team
Entry costRecruitment + onboardingFrom a few hundred zł/mo
Illustrative comparison. Amounts depend on market and scale — but even one in-house senior rarely replaces a team, backup in 3 places, monitoring and an SLA at once.See how much you'd save

FAQ

Does this replace GitLab.com/GitHub Actions SaaS?
It replaces the execution layer (runners) — your pipeline configuration stays in your repository.
Are the runners close to the registry?
Yes — we place them close to Harbor and the cluster to shorten build time and image pull time.

Slow builds and CI/CD limits holding you back?

Describe your current pipeline. We'll propose runners on your own infrastructure.

Ask about runners