Your Whole Business Should Not Live in Someone Else's Account.
Docker, CI/CD, monitoring, backups and hardened servers, running on infrastructure you own. No per seat pricing, no vendor holding your data, and a runbook your own team can follow.
- No obligation, no sales script
- You own the code
- Fixed scope after discovery
100+
Projects delivered
98%
Client satisfaction
30+
AI and automation experts
24/7
Support and maintenance
Trusted by forward thinking brands worldwide. Every build ships with documentation, training and full source code ownership.
What the status quo is costing you
Lock in
Your data lives in an account you do not control
Export is a support ticket, the API is rate limited, and the price is whatever they decide at renewal.
Per seat pricing
The bill grows with headcount and not with usage
Ten tools at thirty dollars a seat is a five figure yearly line for software you do not own and cannot change.
Silent dependency
One outage upstream and all you can do is wait
No status page you control, no fix you can apply, and a customer asking you why nothing works.
Why self hosting is worth the trouble
Self hosting used to mean a box under a desk and somebody's weekend. It does not any more. Containers, a deployment pipeline and real monitoring get you the same reliability as a managed platform, on a machine whose root password belongs to you.
The trade is real and worth saying plainly: you take on the operations. So we hand it over built to survive that. Deploys that run themselves, backups proven by restoring them, alerts that reach a person, and documentation written for whoever joins your team next year.
Your keys
Root access, your domain, your data
Flat cost
A server bill instead of a per seat one
No lock in
Everything runs from a repo you own
Infrastructure we deploy
Docker and containers
- Every service in its own container
- Multi stage builds that stay small
- Docker Compose for single host setups
- Kubernetes only where the scale earns it
- Reproducible builds from a tagged image
- The same image in staging and production
CI/CD pipelines
- Push to deploy from your own repository
- Tests and linting block a bad merge
- Build once and promote the same artifact
- Zero downtime rolling deploys
- One command rollback to the previous tag
- Secrets injected at deploy and never committed
Server and cloud setup
- Hetzner DigitalOcean AWS or your own hardware
- Provisioned from code with Ansible or Terraform
- Reverse proxy with automatic TLS
- Private networking between services
- A staging environment that matches production
- Rebuildable from scratch in under an hour
Security
- SSH keys only and no password login
- Firewall closed by default
- Automatic security patching
- Rate limiting and fail2ban at the edge
- Secrets in a vault rather than an env file
- Least privilege access per service
Monitoring
- Prometheus and Grafana dashboards
- Uptime checks from outside your network
- Log aggregation you can actually search
- Alerts that reach a person on call
- Resource trends so you scale before you fall over
- Errors tied back to the deploy that caused them
Backups and disaster recovery
- Automated nightly database dumps
- Off site copies on separate infrastructure
- Point in time recovery where the database supports it
- Restores tested on a schedule and not assumed
- A written recovery runbook with real timings
- Retention rules that match your obligations
Scaling
- Vertical first because it is usually cheaper
- Horizontal scaling behind a load balancer
- Read replicas and connection pooling
- Caching in front of the slow paths
- Queue workers scaled apart from the app
- Capacity planned from real traffic and not guesses
From a git push to a running release
The same pipeline runs whether it is a typo fix or a database migration. That is the point of it: deploys stop being events that need a Friday afternoon.
-
Git
your repository
push
A push to main is the only trigger. Nobody deploys from a laptop and nobody deploys by hand.
-
CI/CD
GitHub Actions / Gitea
1m 40s
Tests, linting and a dependency scan run before anything gets built.
-
Docker
image registry
2m 05s
One image is built, tagged and pushed. That exact image is what reaches production.
-
Server
your VPS
18s
Rolling restart behind the proxy. The old container keeps serving until the new one is healthy.
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Database
migrations
4s
Migrations run inside a transaction, with the pre deploy dump already taken and verified.
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Monitoring
Prometheus + Grafana
watching
Error rate and latency watched against the previous release rather than against nothing.
health check fails → rollback to the previous tag, automatically
What actually runs on the box
One machine to start with, because most businesses genuinely do not need more than that. Every layer can move onto its own host later without rewriting anything.
Edge
Everything arrives here first. Nothing else is exposed to the internet.
- Caddy or Nginx
- Automatic TLS
- Rate limiting
- DDoS filtering
Application
Your services, each in its own container, each restartable on its own.
- Web app
- API
- Background workers
- Scheduled jobs
Data
The part that actually matters, on disks you control.
- PostgreSQL
- Redis
- Object storage
- Search index
Operations
Watching it, and being able to put it back.
- Metrics
- Logs
- Nightly backups
- Off site copies
How a migration actually runs
-
Audit
We look at what you run now, what it costs a year, and what would genuinely break if a vendor disappeared next month.
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Provision
Servers built from code rather than from memory, so the machine can be rebuilt instead of nursed.
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Containerise
Each service packaged so it runs identically on a laptop, in staging and in production.
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Migrate
Data moved with a rehearsal first, and a rollback plan we have actually executed rather than written down.
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Cut over
The switch happens in a window you choose, with the old system still standing by until you are happy.
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Hand over
Runbooks, credentials, dashboards and a walkthrough, so your team is not dependent on us either.
The last step is the whole point of the exercise: you should be able to fire us and keep running.
Questions people ask
Is self hosting actually cheaper?
Usually, and by a lot, once you are past a handful of users. Per seat pricing grows with your headcount while a server bill grows with your traffic. The honest exception is a small team using one or two cheap tools, where the migration costs more than it saves. We work out your number before recommending anything.
Who maintains it after handover?
Whoever you want. Most clients take it in house with a retainer for the awkward things, some hand it back to us entirely. Either way you get the runbooks, the credentials and infrastructure defined as code, so the answer is never that only we know how it works.
Can you match the uptime of a managed service?
For most business applications yes, and the difference is in the design rather than the hosting. Health checks, automatic restarts, rolling deploys and alerting matter more than whose logo is on the data centre. Where you genuinely need multi region failover, we will say so and price it.
What happens if the server dies?
You restore. Nightly dumps go off site to separate infrastructure, the machine itself is defined in code, and the recovery runbook has real timings in it because we have run the restore. For most setups a full rebuild is under an hour.
Can we stay partly on cloud?
Yes, and often you should. Object storage, email delivery and DNS are usually fine to rent. What matters is that the parts holding your data and your business logic can move when you decide to move them.
Do we need a full time DevOps person?
No. That is the reason for the pipeline, the dashboards and the runbooks. A developer on your team should be able to deploy, read the graphs and restore a backup without becoming an infrastructure specialist.
