What we build with Docker & Kubernetes
Docker and Kubernetes are how JK Tech Hub packages and runs the systems it builds, and they are also a service we offer on their own to clients whose existing software has become hard to deploy. DevOps work from Rajkot includes:
- Containerising web applications, APIs and ERP systems so they run identically on a developer laptop, a test server and production.
- Kubernetes clusters on AWS EKS or self-managed servers for SaaS products that need auto-scaling, rolling deployments and zero-downtime releases.
- CI/CD pipelines with GitHub Actions that build, test and deploy on every merge, replacing manual FTP uploads and weekend release windows.
- Monitoring and alerting with Prometheus and Grafana, log aggregation, and secrets management.
- Migrations of monoliths into a small number of services where that actually helps, and consolidations of over-split microservices where it does not.
All infrastructure is written as code with Helm and Terraform and documented in a runbook, so your team or any future vendor can operate it without us. We also offer a monthly management plan for clients who would rather not.
When Docker & Kubernetes are the right choice, and when they are not
Docker is the right choice for almost every project; it costs little, makes environments reproducible and simplifies onboarding, so we use it by default. Kubernetes is a different matter. It is the right choice when you run several services that must scale independently, need zero-downtime deployments, handle traffic that varies by an order of magnitude, or must recover automatically when a server fails. SaaS products with paying customers and platforms with multiple teams deploying daily are the typical fit.
Kubernetes is the wrong choice when:
- You run one application on one or two servers. A container on a VPS with a simple deploy script does the job at a tenth of the operating cost.
- Nobody in your organisation will learn to operate it and there is no budget for managed support. An unattended cluster becomes a liability.
- The system is an internal tool with predictable, low traffic.
We have talked more clients out of Kubernetes than into it. A managed platform, ECS, or plain Docker on AWS is often the honest recommendation, and the proposal will explain which and why.
Cost and timeline for Docker & Kubernetes projects
Basic containerisation of an existing application, with a Dockerfile, a compose setup for local development and a deployment to a single server, starts at ₹40,000 and takes one to two weeks. A standard engagement, meaning a production Kubernetes cluster with CI/CD, staging and production namespaces, monitoring and documented runbooks, starts at ₹1,25,000 and takes three to six weeks. Enterprise projects such as migrating a large system into services, multi-cluster setups or compliance-driven hardening start at ₹4,00,000 and run eight to sixteen weeks.
The setup fee is separate from the monthly cloud bill, which we estimate from your workloads before you commit; a small production cluster on AWS typically runs ₹15,000 to ₹40,000 per month. Ongoing management, including patching, scaling reviews and incident response, is available as a monthly plan.
All quotes are fixed-price against a written scope, and clients outside India receive them in their own currency; see our international page for how we cover support hours across time zones.
Updated 9 September 2026