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Shivacha — Simplifying Tech Solutions
Shivacha CloudDevOps, Kubernetes & Platform Engineering

Docker & Containerization

Containerise applications with Docker — secure images, efficient builds, local development and deployment readiness.

Production · multi-region
Illustrative

Region Aactive

Load balancer · WAF
api web worker
Postgres primary Object storage

Region Bstandby

Load balancer · WAF
api web worker
Postgres replica Object storage

Async replication · automated failover · backups tested

Observability

MetricsLogsTracesSLO alerts

Security

IAMSecretsPrivate networkIaC
  • Service area

    DevOps, Kubernetes & Platform Engineering

  • Engagement

    Project · Team · Managed

Overview

Containerisation packages applications with their dependencies so they run consistently from laptops to production. We containerise applications with secure, minimal images, efficient multi-stage builds, image scanning and signing, consistent local development environments and deployment configurations for Kubernetes or managed container services.

Common use cases

  • Legacy app containerisationPackaging existing applications.
  • Developer environmentsConsistent local setups.
  • Image securityHardened, scanned images.
  • Build optimisationFaster container builds.

Quick answers

Docker & Containerization at a glance

The essentials in brief. Every project is scoped individually — ask us for specifics.

What is docker & containerization?
Containerise applications with Docker — secure images, efficient builds, local development and deployment readiness.
Who is it for?
Typically companies migrating to the cloud, teams whose releases are slow or risky, and organisations that need stronger reliability, security or cost control.
What does Shivacha provide?
  • Dockerfiles
  • Base images
  • Image scanning
  • Signing
  • Local dev
  • Registry management
Which technologies are used?
Docker, Kubernetes, GitHub Actions, Terraform, Argo CD, GitLab CI — chosen to fit your stack and constraints.
How does the process work?
Delivery assessment → Pipeline & platform design → Implementation → Adoption → SRE practice.
What affects the cost?
  • Number of applications and environments
  • Compliance and data-residency requirements
  • Availability and recovery objectives
  • Existing automation and IaC maturity
  • Multi-cloud or hybrid scope
  • Ongoing managed-service needs
How long does it take?
Assessments take 2–4 weeks; platform builds and migrations are usually delivered in 2–6 month phases.
How do I get started?
Share a short brief in the form below, book a 30-minute call or message us on WhatsApp. A senior engineer replies within one business day; NDA on request.

Capabilities

What we deliver

Dockerfiles

Minimal, multi-stage builds.

Base images

Hardened, maintained base images.

Image scanning

Vulnerability scanning in CI.

Signing

Image signing and provenance.

Local dev

Compose-based development environments.

Registry management

Private registries and retention.

Architecture

Engineered right from day one

The layers we typically design for DevOps, kubernetes & platform engineering, adapted to your stack and partners.

  • Paved roads, not gatesSelf-service defaults that make the secure path the easy path.
  • Everything as codeInfrastructure, policies and dashboards version-controlled.
  • Right-sized KubernetesKubernetes where it pays; simpler platforms where it does not.
  • Measured reliabilityError budgets balance feature velocity and stability.
DevOps, Kubernetes & Platform Engineering · reference architecture
5Source
Git workflowsCode reviewMonorepo / polyrepo
4Build & test
CI pipelinesContainer buildsSecurity scans
3Deliver
GitOpsProgressive deliveryFeature flags
2Run
KubernetesService meshAutoscaling
1Observe
SLOsMetrics, logs, tracesOn-call

Delivery

How an engagement runs

  1. 1

    Delivery assessment

    Lead time, deployment frequency, failure rate and recovery time baselines.

  2. 2

    Pipeline & platform design

    Golden paths for build, test, deploy and run.

  3. 3

    Implementation

    Pipelines, clusters and infrastructure as code.

  4. 4

    Adoption

    Migrate services onto the platform with the teams that own them.

  5. 5

    SRE practice

    SLOs, alerting, incident management and post-incident reviews.

Security

Security built into delivery

Controls we apply by default on this kind of work — not a separate phase at the end.

Infrastructure as code

Every change reviewed, versioned and reproducible.

Identity & network

Least-privilege IAM, private networking and zero-trust access.

Secrets & encryption

Central secrets management and encryption by default.

Monitoring

Alerting, audit logs and incident runbooks from day one.

Dedicated team

DevOps Team

Engineers for CI/CD, infrastructure as code, containers and delivery automation.

FAQ

Frequently asked questions

Can any application be containerised?

Most can; some legacy applications need refactoring for configuration, state and logging.

How do you keep images secure?

Minimal base images, regular rebuilds, scanning, signing and removing unnecessary tools.

Do we need Kubernetes?

Not always. Kubernetes is valuable for many services, multiple teams and portability. For small systems, managed container services or serverless may be simpler and cheaper.

What is platform engineering?

Building an internal product — templates, pipelines, environments and tooling — that lets development teams self-serve infrastructure safely, reducing cognitive load and tickets.

Next step

Discuss Enterprise Deployment.

Tell us about your docker & containerization requirements — goals, timeline and constraints. We will reply with questions, an approach and next steps.

  • Senior engineer reads every enquiry
  • Reply within one business day
  • NDA on request

Prefer to talk first?

Book a 30-minute call, or message the nearest team on WhatsApp.

Book a Call

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