Managed DevOps, in full
CI/CD pipeline design — build, test, scan and deploy stages defined as code in your own repository, with one pipeline promoting a single artefact from staging to production.
Infrastructure as code — every environment described in Terraform, so staging and production cannot quietly drift apart and rebuilding one is a pipeline run rather than a recovery project.
Kubernetes operations — cluster provisioning, namespace and RBAC design, autoscaling, ingress and TLS — plus the day-2 work of version upgrades, node rotation and capacity review that keeps a cluster healthy after launch.
Release engineering — blue-green and canary rollouts with automated rollback, so a bad deploy is a non-event instead of an outage.
Cloud cost and capacity review — right-sizing, reserved capacity and spend attributed per environment and per team, so infrastructure cost is a number someone owns.
Runbooks and on-call handover — documented failure modes, alert thresholds and escalation paths, so operational knowledge lives in your organisation rather than in one engineer's head.
What DevOps services cover
CI/CD pipeline services
CI/CD pipeline services are the spine of the engagement: build, test, scan and deploy expressed as one versioned definition rather than a chain of jobs somebody wired by hand. DevOps automation means the path from a merged pull request to production is the same path every time, with the same gates — and DevOps deployment services cover the parts teams usually leave manual, including migrations, environment promotion and rollback.
Kubernetes consulting and Docker services
Kubernetes consulting starts with whether you need Kubernetes at all; a managed container service is the right answer more often than the industry admits. Where it is warranted we size the cluster, set requests and limits from measured usage rather than guesswork, and put autoscaling behind real signals. Docker services cover image hygiene — small bases, pinned digests, non-root users, reproducible builds — because a scanner finding is cheaper to prevent in the Dockerfile than to triage later.
Infrastructure as code and cloud automation services
Infrastructure as code services put every environment in Terraform, reviewed like application code, so staging and production differ by variables rather than by history. Cloud automation services extend that to the surrounding chores: backup schedules, certificate renewal, DNS, secret rotation and scheduled scale-down of non-production environments. Cloud DevOps services run the same model across AWS, Azure and GCP.
DevOps consulting, transformation and implementation
DevOps consulting is the assessment half: where the delivery pipeline actually stalls, which manual step is load-bearing, and what an honest DevOps transformation costs in engineering time. DevOps implementation is the delivery half. Enterprise DevOps services add the constraints larger organisations carry — change windows, segregation of duties, approval records — and DevOps integration services connect the pipeline to the ticketing, identity and monitoring systems already in place.
Managed DevOps support and DevOps engineering services
As a DevOps service provider we can hand the platform over and step back, or stay on as managed DevOps services with an agreed response model. DevOps support services cover upgrades, cost review and the pipeline maintenance nobody schedules; DevOps engineering services mean our engineers work inside your repositories and your review process, not beside them. A DevOps company that cannot be audited by its own client is not much use, so every change we make arrives as a reviewable pull request — DevOps solutions you can read are the only kind worth paying for.
What we actually use
Docker
Every service we ship is containerised, so the artefact that passed QA is the exact artefact that reaches production. We write multi-stage Dockerfiles that keep runtime images minimal — fewer packages in the final layer means a smaller attack surface, faster pulls on every deploy, and far less to patch when a CVE lands.
Kubernetes
We run workloads on managed Kubernetes — EKS, AKS or GKE — or on self-managed clusters where data residency decides the platform. That covers namespace and RBAC design, resource requests and limits, horizontal autoscaling, ingress and certificate automation, and the unglamorous day-2 work: control-plane upgrades, node rotation and capacity planning.
GitHub Actions
Pipelines live as code in the repository beside the application, so a change to how the software is built is reviewed like any other pull request. Reusable workflows keep a dozen services on one shared, auditable pipeline instead of a dozen slightly different ones that drift apart over a year.
AWS
Accounts, networking, IAM boundaries and managed data services provisioned as code rather than clicked together in the console — which is what makes an environment reproducible and an audit answerable. We work across Azure, GCP and Indian cloud providers too, where an existing commitment or a residency requirement decides the platform.
The shape of the work
We open with a short assessment of your current pipeline, environments and release process and hand back a written findings document with a prioritised remediation plan. Foundation work — pipelines, infrastructure-as-code, cluster hardening — is scoped as a fixed phase. Most clients then move onto a managed retainer in which we own the delivery platform and your engineers stay focused on the product.
Who this is for
Organisations running more than a handful of services, where releasing has become a scheduled event rather than a routine one. Typically that is an enterprise platform team in Delhi NCR carrying infrastructure that grew faster than the process around it, or a public-sector programme that has to demonstrate a controlled, auditable release path as a condition of the contract. Two symptoms decide it: deploying is something one engineer does carefully rather than something the pipeline does repeatedly, and nobody has rebuilt staging from scratch recently enough to be confident it still matches production.
The targets we work against are deploy-on-demand instead of scheduled release windows, commit-to-production lead time measured in hours, and a rollback path that has been rehearsed rather than assumed. Because the same team also owns security scanning and compliance evidence, neither arrives months later as a separate project.
Every platform we hand over ships with its infrastructure defined as code, its pipeline already running, and its tests already inside that pipeline — so the handover is a working delivery platform rather than a zip file. Niyantā and BazaarBandhu were both built and handed over on exactly that model.
Questions we are asked
What does a DevOps consulting engagement actually deliver?
A written assessment of the current delivery path — where builds queue, which steps are manual, what breaks under load — and a prioritised implementation plan with effort against each item. It is deliberately separable from the build: you can take the assessment and execute it with your own team.
How long does a DevOps implementation take?
A typical first phase runs four to eight weeks and ends with pipelines running and infrastructure defined as code for at least one production service. Full DevOps transformation across a large estate is longer, but it is sequenced so each phase leaves you with something working rather than a half-migrated platform.
Do you work as a managed DevOps service provider, or alongside our team?
Both, and the choice is reversible. Some clients want managed DevOps services with an agreed response model; others want DevOps engineering services embedded in their own team so the knowledge stays in-house. We default to the second and hand over completely unless you ask otherwise.
Which cloud platforms do your cloud DevOps services cover?
AWS, Azure and GCP, plus self-hosted and hybrid estates. Infrastructure as code services are written in Terraform rather than a provider-specific language precisely so the pattern is portable, and so a later migration is a rewrite of providers rather than of everything.
Talk to our team
Tell us what you are running now and what has to change. We will come back with a written assessment, not a brochure.