Engineering
Cloud and DevOps
Cloud infrastructure sized for the traffic you have, with deployment pipelines and monitoring that make shipping software routine.
Talk to us about Cloud and DevOpsCloud and DevOps work covers the infrastructure your software runs on and the CI/CD pipeline that ships to it, handled as one piece of work. The goal is simple: releasing software becomes a routine event, the system stays up, and the bill matches the traffic you actually have.
Cloud costs rarely grow because of one bad decision. They grow because nobody revisits sizing after launch. Outages rarely come from exotic failures. They come from missing backups, missing alerts and manual deploys. We fix those basics first.
Problems this solves
- Deployments are manual, stressful and scheduled around.
- The cloud bill keeps rising and nobody can say why.
- An outage was found by a customer before the team knew.
- There are backups, but nobody has tested a restore.
What cloud and DevOps work covers
Cloud architecture
Servers, networks and managed services sized for your real traffic, with room to grow.
CI/CD pipelines
Automated build, test and deployment, so a release is one reviewed change and not a manual procedure.
Monitoring and alerting
Uptime, errors and performance watched from outside, with alerts that reach a person.
Backup and recovery
Scheduled backups kept off the server, and a restore that has actually been tested.
Cost review
What you pay for, what is oversized or unused, and what each change would save.
Security hardening
Access control, secrets handling, patching and encrypted connections.
Typical projects
Examples of the kind of work this covers, not a list of past clients.
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From manual deploys to a pipeline
Releases that needed an evening and a checklist become a routine, repeatable step.
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A cloud bill that keeps growing
A review that shows where the money goes and what can be switched off.
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After an outage
The gaps that caused it are closed: monitoring, backups, a written recovery procedure.
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Moving servers or providers
A planned migration with a rollback path and no lost data.
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Before a launch or traffic peak
Capacity, caching and failure handling checked before they are tested by customers.
What cloud and DevOps work delivers
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Infrastructure review
What is running, what it costs, what is oversized or unused, and where the single points of failure are.
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Infrastructure as code
Environments defined in version control, so they can be recreated and reviewed like any other change.
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CI/CD pipeline
Automated build, test and deploy with a clear rollback path.
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Monitoring and alerting
Uptime, errors and performance tracked, with alerts that reach a person before customers notice.
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Backups and tested recovery
Scheduled backups and a restore that has actually been run.
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Security basics and runbook
Access control, secrets handling, patching and a written guide for the incidents most likely to happen.
Is this the right fit?
A good fit when
- You run software in production and releases feel risky.
- Cloud spend has grown without a clear reason.
- You have no dedicated infrastructure engineer.
Probably not when
- The product is not built yet. Infrastructure comes with the build.
- A managed platform already covers your needs. Stay on it.
How a cloud and DevOps project runs
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01
Understand
A short call to understand the actual problem, not just the requested feature. We push back if the scope doesn't match the goal.
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02
Architect
A concrete technical plan and estimate before any code is written, covering stack, integrations, and where the real risk is.
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03
Build
Iterative delivery with visibility into progress, not a black box until launch day.
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04
Validate
Tested against real-world requirements and failure modes, not just the happy path, before anything reaches production.
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05
Operate
Deployed, monitored, and supported after launch, with infrastructure and observability included from day one. Never a forced retainer.
Technology we work with
- Docker and Docker Compose
- GitHub Actions
- nginx and Let's Encrypt TLS
- PostgreSQL backup and restore
- Linux servers and the major cloud platforms
- Infrastructure defined in version control
Questions about Cloud and DevOps
Which cloud providers do you work with?
We work with the major cloud platforms and with simple virtual servers. The right choice depends on your traffic, team and budget, and a smaller setup is often the better one.
Can you reduce our cloud bill?
A review usually finds oversized or unused resources. We will show you what we find and what each change saves, without promising a number before we have looked.
Do we need Kubernetes?
Most small and medium products do not. Containers on a few well-managed servers or a managed platform are simpler to run. We recommend Kubernetes only when the scale and team justify it.
Do you provide ongoing support?
Yes, for monitoring, infrastructure and iteration after launch. It is optional, not a forced retainer.
How much does cloud and DevOps work cost?
It depends on scope, so we do not publish a price list. After a short call to understand the problem you get a written estimate with its assumptions, before any commitment. If the work is not worth doing, we say so.
Can you work on our existing servers?
Yes. Most of this work starts from what you already run. We review it first, then change it in small, reversible steps so the service stays up.
From the blog
Monitoring and Alerting: What a Small Team Actually Needs
A handful of checks covers most real incidents. What to monitor first, what to alert on, and how to keep alerts from being ignored.
Zero-Downtime Deployments: Approaches and Trade-Offs
Releasing without taking the site offline is mostly a database problem. The main approaches and the one technique that makes them work.
Backups Are Not Enough: Test Your Restore
A backup that has never been restored is a hope, not a safeguard. What to back up, where to keep it and how to prove it works.