Deploys that depend on one person
Releases run from someone’s laptop, with steps that live in their head. When they are on holiday nothing ships — and when they leave, nobody knows how.
DevOps services
Make releases boring. We automate builds, tests and deployments, put your infrastructure into code, and give you the visibility to spot problems before customers report them.
Why releases hurt
Slow, manual releases do not just waste time. They push teams towards bigger, riskier deployments, which fail more often, which makes everyone more cautious still.
What good DevOps looks like
Not a tool list — a set of habits that make change cheap and safe:
Releases run from someone’s laptop, with steps that live in their head. When they are on holiday nothing ships — and when they leave, nobody knows how.
Staging was set up by hand years ago and no longer matches production, so "it worked on staging" has stopped meaning anything.
No useful logs, no alerts, no tracing. The first sign of an outage is an email from a customer, and diagnosing it means guessing.
Oversized servers, forgotten test environments and orphaned storage add up month after month, with no tagging to say which product or team owns what.
What we do
We set up the foundations for new products, untangle existing estates, or join your team to work through a backlog of platform improvements.
GitHub Actions workflows that build, test, scan and deploy every change, with protected branches, approval gates for production and a deploy history you can audit.
Networks, databases, queues, permissions and environments defined in Terraform and reviewed like application code — so staging really matches production and anything can be rebuilt.
Docker images for consistent builds, and Kubernetes where the workload justifies it — or simpler managed hosting where it does not. We will tell you which.
Structured logs, metrics, traces and dashboards, with alerts tuned to fire on symptoms customers would notice rather than on every CPU spike.
Blue-green and canary deployments, feature flags and automated rollback, so a bad release reaches few users and can be reversed quickly.
A line-by-line look at your bill: rightsizing, reserved capacity, storage lifecycles and switching off what nobody uses, with every change made through code.
How we work
We start from how your team ships today and improve it in small, reversible steps — the same way we would want you to ship software.
We walk through a real release with your team, from merged code to production, and review your cloud accounts, access, costs and incident history.
A map of how change reaches production
We rank improvements by risk removed per day of effort — often secrets and backups first, then the pipeline, then environments and observability.
A prioritised platform roadmap
We design the target set-up: accounts and environments, network boundaries, how services are packaged and deployed, and what gets monitored.
Target architecture and runbook outline
Infrastructure and pipelines are built as code in two-week sprints, reviewed through pull requests, and rolled out one service or environment at a time.
Pipelines and infrastructure in version control
We test the failure paths on purpose — rollbacks, restores, expired credentials, a node disappearing — before a real incident tests them for you.
Rehearsed rollback and recovery
Cutover to the new pipeline and environments, with the old route kept available until the new one has proved itself on real releases.
Production running on the new set-up
We hand over runbooks and train your developers to own the pipeline — or stay on to run the platform, review costs and handle upgrades.
Runbooks, training or ongoing support
Technology
Mainstream, well-supported tooling that your own engineers can take over. We avoid adding a new platform for every problem.
CI/CD
Infrastructure as code
Containers
Hosting
Observability
Security and access
We build on AWS and Vercel, with Docker and Kubernetes where they earn their place. If your estate is on another cloud, tell us early — we will be straight about whether we are the right fit.
Use cases
Common starting points for UK teams, from a first pipeline to a platform that has outgrown the way it was set up.
Replace manual deploys with a pipeline that tests every change, deploys to staging automatically and needs one approval to reach production.
Each change gets its own short-lived environment, so product owners can check features before merge instead of queueing for a shared staging server.
Hand-built cloud resources imported into Terraform, so the platform is documented by definition and can be recreated if an account or region has a bad day.
Every production change linked to a reviewed pull request and a named approver — the kind of evidence auditors and enterprise customers ask to see.
Every resource tagged by product and environment, obvious waste rightsized, and non-production environments switched off outside working hours.
Containerised local environments, seeded test data and a documented workflow, so a new developer can run the product without hunting for set-up steps.
Relevant work
A selection of client projects related to this work. Each case study covers the brief, the approach and the stack.
All case studiesSmart-home dashboard for device control, schedules and energy use.
AI-assisted dental imaging platform that flags conditions for clinician review.
International student recruitment marketplace with application tracking.
Why Techsleight
No inflated numbers — just how we run projects, and what you can hold us to.
We ask what the software is for before we estimate it — and we will tell you when something should not be built, or should be bought instead.
LLM features, retrieval and automation built with evaluation, guardrails and cost controls, and plain software where that is the better answer.
Design, frontend, backend, mobile, cloud and QA in one team, so nothing falls between suppliers.
UK business hours, estimates in pounds, and a contract with a UK company. Our engineers are based in the UK and India.
A fixed-scope project, dedicated developers or a monthly retainer — and you can move between them as the work changes.
Code, IP, cloud accounts and documentation are yours from day one. We sign an NDA before discovery if you need one.
We stay on for fixes, upgrades and new features, or hand over cleanly to your in-house team with the documentation to match.
FAQs
Straight answers on scope, cost, timelines and how we work. If yours is not here, ask us directly.
It is the set of practices that makes changing software safe and routine: automated builds and tests, infrastructure defined in code, monitoring that tells you when something is wrong, and releases small enough to undo. It is less about job titles or tools than about shortening the path from a finished change to customers using it.
A focused piece of work, such as setting up CI/CD or bringing infrastructure into Terraform, is scoped and quoted at a fixed price after a short review. Ongoing platform work can be billed hourly from £20 an hour or run through a dedicated developer, from £2,900 a month. Cloud provider bills are separate and stay in your own accounts.
Often not. Kubernetes is powerful but adds operational overhead that small teams feel. If you run a handful of services, managed container hosting or a platform such as Vercel may be simpler and cheaper. We recommend it when you run many services, need fine-grained scaling, or already have people who operate it well.
We build on AWS and Vercel, with Firebase for some mobile and smaller web products. Terraform, Docker and GitHub Actions work across providers, so much of the approach carries over — but if your estate is on another cloud, we will tell you honestly how much of the work we are the right team for.
Yes, and it is usually the best arrangement. We pair with your engineers on pipelines and infrastructure, review changes through the same pull requests, and document as we go — so the knowledge stays in your team rather than leaving with us.
Some access, scoped to the task. We prefer individual, least-privilege accounts with multi-factor authentication, time-limited admin rights for risky changes, and everything logged. The accounts remain yours throughout, and we never ask you to share a root login.
In a managed secrets store — not in the repository, chat messages or a shared document. Pipelines fetch secrets at deploy time with narrowly scoped permissions. If we find secrets committed to your repository, we tell you straight away and help you rotate them, because deleting the file does not remove them from history.
Blue-green runs two identical production environments and switches traffic from old to new in one step, so rolling back means switching back. Canary sends a small share of traffic to the new version first and widens it while monitoring stays healthy. Feature flags go further, letting you ship code switched off and turn features on for chosen users.
There is often waste to remove — oversized instances, idle environments, old snapshots, storage in the wrong tier. We start by reviewing your billing data and tagging, agree the changes with you, and make them through infrastructure code so the savings do not drift back. We will not promise a figure before we have looked.
Usually with a walkthrough of one real release, from merged code to production. It shows where time goes and where the risk sits. Common first steps are moving secrets out of the codebase, making backups restorable and putting the build and deploy into a pipeline — before anything more ambitious.
Start a project
Tell us how you deploy today and what keeps going wrong. We will suggest the few changes that would remove the most risk first.
What happens next
Techsleight Labs is a trading name of Krapton IT Consultancy.
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