Docker & Containerization Services for Modern Applications

Docker & Kubernetes Services

Softfix is a Kubernetes consulting company in India. We package your apps into containers, set up the clusters they run on and stick around to keep them healthy, whether that's one small service or a few hundred.

Get a Free Estimate
  • Docker
  • Kubernetes
  • Helm
  • Amazon EKS
  • Azure AKS
  • Google GKE
Docker & Kubernetes Services
Kubernetes development and management services

Kubernetes development and management services

Some clients come to us with nothing containerised yet. Others already run Kubernetes and want help keeping it under control. Here's what we can take on.

Docker containerisation services

We write Dockerfiles for each of your apps and a Docker Compose file so developers can start the whole stack on a laptop with one command.

Google GKE cluster setup and management

Standard or Autopilot, single zone or regional. We set up the cluster, networking and Workload Identity, then handle upgrades and node pool changes over time.

Amazon EKS and Azure AKS clusters

The same care on AWS and Azure. Clusters are built with Terraform so you can recreate them, and access is tied to your existing IAM or Entra ID accounts.

Docker image hardening and vulnerability scanning

Smaller base images, no root user and scans on every build. Images with serious vulnerabilities get blocked before they reach your container registry.

Istio and Linkerd service mesh implementation

Encrypted traffic between services, retries, traffic splitting and a clear picture of who talks to whom. We help you pick the mesh that fits, then roll it out one namespace at a time.

Helm chart and Kubernetes operator development

Our Helm chart development services turn your manifests into versioned charts with sensible defaults. For apps that need more care, we write Kubernetes operators that handle backups, failover or upgrades on their own.

HPA and Cluster Autoscaler configuration

The Horizontal Pod Autoscaler adds pods when load rises. The Cluster Autoscaler, or Karpenter on AWS, adds nodes when those pods need somewhere to run. We tune both so you scale fast without overpaying.

Multi-cluster Kubernetes management

Dev, staging and production clusters, or clusters in several regions, all managed from one place with GitOps tools like Argo CD or Flux.

Zero-downtime Kubernetes deployments

Readiness probes, pod disruption budgets and rolling or canary updates mean users don't notice when you release. A zero-downtime rollout should be the normal case, every time.

Kubernetes governance and policy enforcement

Policy as code with Kyverno or OPA Gatekeeper stops risky settings at the door, such as privileged containers or images from unknown registries.

Containerisation and migration of monolith to microservices

We containerise the monolith as it is first, so it runs on Kubernetes. Then we pull out services piece by piece, where splitting actually helps.

Kubernetes cost optimisation services

We look at resource requests, idle nodes and storage, then right-size workloads and move suitable jobs to spot or preemptible nodes.

Managed Kubernetes

EKS vs AKS vs GKE: which managed Kubernetes is best?

All three run standard Kubernetes, so your apps will work on any of them. The bigger question is which cloud the rest of your systems already live on.

Point of comparison Amazon EKS Azure AKS Google GKE
Control plane cost Hourly fee per cluster Free tier available; paid tier adds an uptime SLA Hourly fee per cluster, with a monthly credit that covers one cluster
Hands-off mode EKS Auto Mode, or Fargate for serverless pods AKS Automatic, or virtual nodes Autopilot, which manages nodes for you
Upgrades You trigger version upgrades Auto-upgrade channels you can opt into Release channels with automatic upgrades
Identity AWS IAM with Pod Identity Microsoft Entra ID Google Cloud IAM with Workload Identity
Good fit for Teams already deep in AWS Microsoft shops and .NET workloads Teams who want the most automated experience

Verdict: Our honest take: GKE tends to need the least babysitting, EKS has the widest set of AWS integrations, and AKS makes the most sense if you're already on Azure. Moving clouds just for Kubernetes is rarely worth it.

Kubernetes vs Docker Swarm vs ECS

Point of comparison Kubernetes Docker Swarm Amazon ECS
Learning curve Steep at first Gentle if you know Docker Compose Moderate, mostly AWS concepts
Where it runs Any cloud or your own servers Anywhere Docker runs AWS only
Ecosystem Huge: Helm, operators, service mesh, GitOps Small and quiet Tight AWS integration
Best for Growing platforms and multi-cloud plans Small teams with a few services AWS teams who want less to manage

Verdict: If you only run a handful of containers on AWS, ECS might be all you need, and we'll say so. Container orchestration services should match the size of the problem.

Autoscaling

How to set up autoscaling in Kubernetes

Kubernetes scales at two levels. Pods scale with traffic, and nodes scale to make room for those pods. Drag the slider to see both at work.

Interactive Autoscaling Demo

300 req/sec
Pods (HPA) 2
Nodes (Cluster Autoscaler) 1
Average CPU 15%

Note: Example numbers: each pod handles about 200 requests per second at the 70% CPU target, and each node fits 4 pods. Your real values come from load testing.

Step 1: set resource requests

Every container needs CPU and memory requests. Without them, neither autoscaler can make good decisions.

Step 2: add a Horizontal Pod Autoscaler

Tell the HPA a target, such as 70% CPU, plus a minimum and maximum pod count. It adds or removes pods to stay near that target.

Step 3: turn on node autoscaling

When new pods can't fit, the Cluster Autoscaler or Karpenter adds nodes. When load drops, it drains and removes the spare ones.

Step 4: load test and tune

We push traffic at the system, watch how fast it reacts and adjust thresholds until scaling keeps up without wasting money.

Migration

How to migrate applications to Kubernetes

This is the route we follow for most moves, including when we containerise a legacy application with Docker for the first time.

Step 1 — Map the app

We note what each app needs to run: config files, ports, storage, background jobs and anything hard-coded to one server.

Step 2 — Write the Dockerfile

Config moves to environment variables and secrets. A Docker Compose setup lets your team test it locally.

Step 3 — Package for Kubernetes

We write Helm charts with health checks, resource limits and the right storage for anything stateful.

Step 4 — Run it in staging

The app runs in a staging cluster next to the old setup until tests and real usage show it behaves the same.

Step 5 — Cut over

Traffic moves gradually to the cluster. The old servers stay up until you're confident, then get switched off.

Security

How to harden Docker images for production

Most container security problems start in the image itself. These are the checks we put in place for every client, and the pipeline enforces them so nobody has to remember.

Start from a minimal base image

Distroless or Alpine images carry far fewer packages, so there's less to patch.

Use multi-stage builds

Compilers and build tools stay in the build stage and never ship to production.

Run as a non-root user

If someone breaks into the container, they don't get root on it.

Scan on every build

Tools like Trivy or Grype check for known CVEs before the image is pushed.

Sign images and check signatures

Cosign signs each image, and the cluster refuses anything unsigned.

Pin versions

Exact tags or digests mean you always know what's running. No surprise "latest".

Service Mesh

Istio vs Linkerd service mesh comparison

A service mesh handles encryption, retries and traffic rules between your services so your code doesn't have to. The two main options take quite different approaches.

Istio

Packed with features: detailed traffic routing, fault injection, strong security policies and support for multi-cluster setups. Its ambient mode removes the need for a sidecar in every pod, which cuts resource use. The trade-off is more to learn and more to operate.

Pick it if: you need fine-grained traffic control or run a large, complex platform.

Linkerd

Built to be simple. It installs quickly, its Rust-based proxy is light on memory, and mutual TLS works out of the box. It has fewer knobs than Istio. Check the current licensing terms for stable releases before you commit.

Pick it if: you mainly want encrypted traffic and good metrics without much setup.

High Availability

Multi-cluster Kubernetes architecture for high availability

One cluster in one region is a single point of failure. For apps that can't go down, we spread the load across regions.

Architecture

Global load balancer

Region A (Mumbai)

Cluster 1 (4 pods)

Region B (Singapore)

Cluster 2 (4 pods)

Active-active across regions

Both clusters serve real traffic. If one region has trouble, the load balancer sends everyone to the other.

One source of truth

GitOps keeps every cluster in sync from the same repo. Federation tools can share services and policies between them.

Data that keeps up

The hardest part of a multi-region design is the database. We plan replication and failover with you before anything else.

Teams We Work With

Kubernetes deployment services for different teams

Kubernetes for healthcare

Clusters that keep patient data encrypted in transit and at rest, with network policies, audit logs and access rules that support HIPAA requirements.

Startups

You may not need Kubernetes yet. If you do, we'll set up a small managed cluster that's cheap to run and easy to grow.

Enterprises

Shared clusters with namespaces per team, policy as code and cost reports per department, so the platform team stays in control.

Product companies on legacy servers

Older apps can still move. We containerise what you have today and modernise it in steps, without a risky big-bang rewrite.

Pricing

How much does Kubernetes consulting cost?

The price depends on how many apps you're moving, how many clusters you need, your cloud provider and whether you want us to run things afterwards. Every quote is fixed and written down before work starts.

Docker and Kubernetes consulting

[PRICE] one-time

A review of your containers and clusters, with a plan to fix what we find.

  • Cluster and image security review
  • Cost and autoscaling check
  • Prioritised list of fixes
Featured Kubernetes implementation

[PRICE] per project

As your Kubernetes implementation company, we containerise your apps and build production-ready clusters.

  • Dockerfiles, Helm charts and CI/CD
  • EKS, AKS or GKE built with Terraform
  • Handover and team training
Managed Kubernetes services

[PRICE] per month

We look after your clusters month to month, including upgrades and on-call.

  • Version upgrades and patching
  • Monitoring and incident response
  • Monthly cost and health report
FAQ

Frequently asked questions

Do we really need Kubernetes?
Not always. If you run a few containers and don't expect that to change, Docker Compose on a server or a simpler service like ECS or Cloud Run may be enough. We'll tell you if that's the case.

Can you containerise an old application?
Usually, yes. Older Java, .NET, PHP and Python apps can almost always run in containers once config and file storage are handled properly. We'll flag anything that needs changes in the code.

Which cloud should we run Kubernetes on?
The one where the rest of your systems already are. Running Kubernetes far away from your databases and other services adds cost and delay for little benefit.

How long does a Kubernetes migration take?
A few stateless apps can move in [a few weeks]. Large systems with databases, queues and many services take longer and usually move in batches. We give you a timeline after looking at your setup.

Will our team be able to manage the cluster after you leave?
We plan for it. Everything is in code, documented and walked through with your engineers. If you'd rather not manage it, our managed Kubernetes plan covers that.

Do you work with on-premise Kubernetes?
Yes. We set up and maintain clusters on your own servers with tools like kubeadm, k3s or Rancher, and can link them with cloud clusters too.
Talk to a Kubernetes engineer

Tell us about your platform.

Tell us what you run today and where you want to get to. We'll reply with honest advice, even if that means you don't need Kubernetes yet.

Email

[email protected]

Phone

+91 81890 10044

Address

1st Floor, CP/140, Viraj Khand-4, Gomti Nagar, Lucknow, Uttar Pradesh 226010

NDA on request. Your data is never shared.

Call WhatsApp