(DevOps)

DevOps work that turns a release into a non-event

A deploy should be a button, a few minutes and a way back. DevOps here means pipelines, infrastructure as code and monitoring that let a small team ship on a Wednesday afternoon without anyone watching the clock.

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Data mesh abstract
DevOps

(The cost of a manual release)

When shipping is difficult, teams ship rarely, and rare releases carry more change, which makes them riskier still. That loop is what deployment automation breaks. The goal is not a wall of dashboards; it is a deploy that happens several times a week and stops being something anyone plans a Friday around.

Half of this work is deletion: removing the manual step, the snowflake server, the config file that lives on one laptop, the environment nobody dares rebuild, and the release document whose fourteen steps only one person has ever finished.

(What we deliver)

DevOps services we deliver

Engagements are usually sequenced in this order, because a pipeline deploying to hand-built servers only moves the problem one step along.

  1. Build, test, scan and deploy in GitHub Actions, GitLab CI or Azure DevOps. Caching and parallel jobs to keep pull-request feedback under ten minutes, environment promotion rather than rebuilds, and a rollback that is one command and gets tested before anyone relies on it.

  2. Your cloud written as Terraform: networking, databases, queues, DNS, certificates and IAM in modules, with remote state and locking. Review happens on a plan output rather than in a console, and rebuilding an environment becomes an ordinary task instead of an archaeology project.

  3. Sensible Dockerfiles, a registry with scanning, and EKS, AKS or GKE where the workload genuinely warrants it — Helm charts, sane resource limits, autoscaling, health checks and secrets from a real store. Where it does not warrant it, we say so and use something smaller.

  4. Development, staging and production built from identical code with different variables, plus ephemeral environments per pull request so reviewers can click the change. Blue-green or canary deploys, feature flags for the risky parts, and release notes generated from the commits.

  5. Metrics, logs and traces that answer questions rather than fill screens. Prometheus and Grafana or your cloud-native equivalent, OpenTelemetry through the services, structured logs, and alerts tied to symptoms users feel — latency, error rate, queue depth — each with a runbook.

  6. Tagging, budgets and a monthly figure someone owns. Idle environments shut down overnight, right-sized instances, committed-use discounts where the baseline justifies them, and storage lifecycle rules. The savings usually cover a meaningful share of the engagement.

(What we run on)

(How we work)

How the work runs

Every engagement is scoped in phases, priced per phase, and reviewed with you at the end of each one.

  1. 01

    Discovery

    We map the problem, the systems around it and what a good outcome looks like, then scope the work in phases you can stop after.

  2. 02

    Design

    Flows, architecture and interfaces agreed before anyone writes production code.

  3. 03

    Build

    Two-week increments, a working environment you can open, and a demo at the end of each one.

  4. 04

    Testing

    Functional, performance, security and accessibility checks run through the build, not bolted on at the end.

  5. 05

    Launch

    Deployment, monitoring, documentation and the handover your team needs to run it.

  6. 06

    Support

    Fixes, updates and the next set of features, at an agreed monthly capacity.

(Why Team of Keys)

How we do DevOps without building a machine nobody can drive

Plenty of platform work produces something impressive that one contractor understands. These habits are what keep the result operable by the team that inherits it.

  1. 01

    The smallest thing that works

    Not every application needs Kubernetes. Managed containers or a couple of well-described virtual machines are cheaper to run and far cheaper to staff, and we will recommend them when they fit.

  2. 02

    Pipeline first, then platform

    The first deliverable is usually a working pipeline for one service, deploying to a real environment. It proves the approach, and your team has something useful long before the wider migration finishes.

  3. 03

    Runbooks over tribal knowledge

    Every alert has a document: what it means, what to check, what to do, who to escalate to. It is the difference between an on-call rota and a rota that only works when one person answers.

  4. 04

    Cost visible from day one

    Tags, budgets and a dashboard your finance lead can read. Cloud bills grow because nobody owns them, and a number on a screen fixes more than an optimisation project does.

  5. 05

    Your accounts, your Terraform

    State, repositories and cloud accounts are in your name from the first week. Ending the engagement means handing over a repository and a runbook, not unpicking a supplier.

(Related)

More in quality & security

All quality & security services

(FAQ)

Questions, answered

A first pipeline and a hardened environment for one application is typically three to five weeks of work, quoted as a phase. Rebuilding a whole estate as infrastructure as code is scoped per environment after a short assessment. Ongoing platform support runs as an agreed monthly capacity, and cloud savings often offset part of it.

For a single application with tests that already exist, a working build-test-deploy pipeline usually lands within two weeks. Adding staging promotion, ephemeral review environments and a tested rollback takes another two or three. A large estate goes service by service, and the first one sets the pattern the rest follow.

Often not. Kubernetes earns its keep with many services, genuine scaling needs or a platform team to run it. For a handful of services, ECS Fargate, Cloud Run, App Service or plain container hosts cost less and need far less expertise. We assess the workload and recommend the smaller option when it fits.

Yes. The usual start is a read-only review of what is there, followed by importing existing resources into Terraform rather than rebuilding them. Changes go through pull requests your team approves. Nothing is moved into our accounts, and access can be revoked by you at any point.

Many clients keep an agreed monthly capacity covering patching, pipeline maintenance, dependency updates and alert triage during business hours. Extended cover is arranged case by case. The alternative is a handover phase where your engineers take the runbooks and we stay reachable for a while.

(Global presence)

Nine countries, one studio behind them.

Every project is designed, built and shipped from one studio.
Turn the globe, or pick a country to see what we deliver there.

NoidaDrag to turn

Studio · Noida, India · --:--

(Next step)

Tell us how you deploy today

Describe the manual steps, the environments and the last release that went wrong. You get a plan for the first pipeline and a price for the phase.

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Or write to info@teamofkeys.com · Noida, India