Engineering services · Cloud and DevOps
Cloud & DevOps Services
Reliable infrastructure and smoother software delivery.
We improve how applications are deployed and operated with cloud infrastructure, containerized environments, automated delivery pipelines, and practical observability.
What this service is
Who it's for, and what it fixes.
DevOps is the work that turns code into a running service and keeps it running: building and testing every change automatically, releasing it the same way every time, watching it in production, backing up the data and being able to restore it. When it is missing, releases are stressful, outages are found by customers, and backups are a hope rather than a fact.
We run the infrastructure behind four live products ourselves, so this is practical work, not theory. We set up delivery pipelines, containers, monitoring and backups on the cloud or servers you choose, write down how everything works, and leave your team able to run it without us.
Teams releasing by hand
Releases done by one person following memory or a long document, usually late at night.
Products with paying customers
Where downtime and lost data now cost real money and trust.
Businesses with rising cloud bills
Spending that grew with each project and that nobody has reviewed since.
Companies preparing for a security review
Customers or partners asking how releases, access, backups and logs are controlled.
Problems it solves
- Releases depend on one person and take hours
- Nobody has ever restored a backup, so nobody knows if they work
- Outages are reported by customers before the team notices
- Production access is shared and nobody can say who changed what
- Cloud costs keep rising without a clear reason
What's included
The deliverables.
What a typical engagement produces. Discovery decides which of these your first release needs.
Infrastructure review
A written assessment of how your software is built, released, run and backed up today, with risks ranked and a plan to fix them.
Build and release pipelines
Every change built, tested and packaged automatically; releases done the same way every time, with a way back.
Containers and environments
Services packaged as containers, with staging and production set up alike, so what you test is what you run.
Monitoring and alerts
Health checks, logs and alerts on what matters to users, with a clear owner for each alert.
Backups and restore drills
Automated database backups, kept off the main server, and a restore rehearsed and timed, so recovery is known, not hoped.
Access and cost control
Named accounts and least-privilege access for production, and a review of what you pay for and what you could stop paying for.
How an engagement runs
From first call to running software.
Five phases, each ending in something you can see and approve. The detail, and what we need from you at each step, is on how we work with you.
- 01
Discovery 1 week
We review your code repositories, servers, release steps, backups and access, and talk to whoever handles incidents. The output is the written assessment and a ranked plan.
- 02
Design 1 week
The target setup: environments, pipeline, monitoring and backups, on the provider you choose, with the trade-offs explained in plain terms.
- 03
Build 2–6 weeks
Changes made in small steps, in staging before production, each one reversible. Backups and monitoring usually come first, because they protect everything else.
- 04
Launch 1 week
The new release process used for real releases with your team, a restore drill run together, and alerts tuned so they are worth answering.
- 05
Support Ongoing, if you want it
Monthly checks, updates, cost reviews and help with incidents under a support arrangement, or a handover with runbooks for your team.
Technology approach
Plain, proven, and yours to keep.
Mostly the stack behind the Varynt products, chosen per project. Read how we build.
- Docker
- GitHub Actions
- Terraform
- Linux
- Nginx
- PostgreSQL
- Containers
- Docker images for every service, run with Docker Compose for smaller setups or a managed container platform when the scale calls for it.
- Pipelines
- GitHub Actions or the CI your team uses: build, test, scan and package on every change, with releases triggered deliberately.
- Infrastructure as code
- Servers and cloud resources described in code, such as Terraform, so environments can be rebuilt and every change is reviewed.
- Data safety
- PostgreSQL backups taken automatically, copied off the main server, and restored on a schedule to prove they work.
What you receive
Ownership, documentation, handover.
- The full source code in a repository you own, with its history, from the first week
- A written handover: architecture overview, how to run, build and release it, and the decisions taken and why
- Credentials, keys and accounts created in your name, never ours
- The automated test suites and the build pipeline, so anyone can keep shipping it
- Runbooks for releases, rollbacks, restores and the most likely incidents
- An access list: who can reach production and how that is granted and removed
Typical timelines
Ranges, not promises.
- Assessment only
- 1–2 weeks
- The written review and ranked plan, which your own team can then carry out.
- Pipelines, monitoring and backups
- 3–6 weeks
- For a typical product of a few services and one database.
- Platform move or rebuild
- 6–12 weeks
- Moving to a new provider or setup, in stages, with a rehearsal before each cut-over.
Every project is quoted for its own scope after discovery; prices are not published.
Security and quality
The practices we use on our own products.
Varynt runs four products for paying customers. Client work gets the same habits. See trust and security.
- A restore drill before we call backups done: the backup restored to a separate database and checked
- No shared production logins: named accounts, and access removed when people leave
- Access is checked on the server for every request; hiding a button is never the control
- Code review on every change, and automated tests that run before anything is released
- Test suites run in more than one order, so a test that only passes by luck is caught
- Before a release changes a database, it is backed up and the backup is restored and checked
- Secrets live outside the code, and dependencies are kept current
Which cloud providers do you work with?
The one that suits you. The practices are the same everywhere: containers, pipelines, infrastructure as code, monitoring and tested backups. We set them up on the provider or servers you choose and keep your setup portable.
Do we need Kubernetes?
Usually not at first. Many products run well on containers with a simpler setup, which is cheaper and easier to operate. We recommend a container platform when the number of services, the scale or the team justifies it.
Can you reduce our cloud bill?
Often. Common savings come from right-sizing servers, removing forgotten resources, using storage tiers properly and scheduling non-production environments. The assessment shows where the money goes before anything changes.
How do you make releases safer?
By making them small, automatic and reversible: every change tested in the pipeline, staging set up like production, database changes backed up and restored first, and a written rollback step for each release.
Do you offer on-call support?
We agree response arrangements as part of a support plan, based on what your product needs. Many clients prefer a runbook and alerts for their own team, with us as escalation.
Will our team be able to run it without you?
That is the goal. Everything is in code and runbooks, and we do the first releases and restore drills together with your team.
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Services and products that fit alongside.
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Get in touch
Tell us how releases and backups work today.
A short call about your setup and what worries you. You get an assessment plan, and a clear first step that reduces risk quickly.