Kubernetes orchestration in Kolkata

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Kubernetes orchestration

Powerful, and more operational weight than most businesses need. We will tell you plainly which side of that line you are on.

Orchestration

Chosen per project

Maintainable handover

Kubernetes solves genuine problems: running many services across many machines, self-healing workloads, rolling deploys and autoscaling, all declared as configuration rather than performed by hand.

It also brings substantial operational weight. A cluster is infrastructure that itself needs upgrading, securing and monitoring. For a single application with steady traffic, a managed container service is usually cheaper, simpler and just as reliable — and we will say so.

What we build with Kubernetes

Many services that need to be deployed and scaled independently

Workloads spanning multiple environments or clouds

Teams already running Kubernetes elsewhere

Genuinely variable load requiring automated scaling

Where it fits — and where it does not

Good fit when

A real microservice estate, not a single application

Someone can own cluster operations

Declarative infrastructure is a deliberate goal

Multi-environment or multi-cloud portability matters

Consider something else when

A single application — managed container services are simpler

Small teams with no dedicated operations capacity

Steady, predictable traffic that never needs to scale

Do you need it

Kubernetes, or a managed container service

This is the decision that matters most, and it is usually settled by how many services you run and who will operate the cluster.

Kubernetes earns its keep

Many services deployed independently

Someone owns cluster operations

Multi-cloud or on-premise portability needed

Genuinely variable, bursty load

Declarative infrastructure is a goal in itself

Use something simpler

One application, or a handful

No dedicated operations capacity

Steady, predictable traffic

ECS, Cloud Run or App Service would do

Team time is better spent on the product

How we work with Kubernetes

Managed control plane

EKS, AKS or GKE rather than self-managed masters — running the control plane yourself is rarely worth it.

Resource limits

Requests and limits set on every workload, because a pod without them can starve its neighbours.

Health probes

Readiness and liveness probes configured properly, which is what makes self-healing actually work.

GitOps

Cluster state declared in a repository, so what is running is reviewable and reproducible.

Our typical Kubernetes setup

Typical Kubernetes stack choices and what we use for each
ConcernWhat we use
ClusterManaged — EKS, AKS or GKE
DeploymentsDeclarative manifests or Helm charts in version control
ScalingHorizontal pod autoscaling on real observed metrics
IngressManaged ingress controller with automated TLS
ObservabilityPrometheus and Grafana, or the cloud-native equivalent
DeliveryGitOps, so cluster state is reviewable in a repository

Frequently asked questions

Probably not, if you run one application with steady traffic — a managed container service will be cheaper and simpler. It becomes worthwhile with a real microservice estate and someone to own the cluster. We would rather tell you that before you commit.

The cluster itself is modest; the cost is operational. Someone has to upgrade, secure and monitor it. That time is the real expense, and it is what makes managed services better value at smaller scale.

Yes, under a support arrangement covering upgrades, security patching, monitoring and incident response — which is exactly the ongoing work most teams underestimate.

Topics people search for

Services built with Kubernetes

Tell us what you are trying to build

Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.

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