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

Platform Engineering

Internal developer platforms — golden paths, self-service environments, templates and guardrails for product teams.

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

Platform engineering builds an internal product for developers: templates to create new services, golden-path pipelines, self-service environments, built-in observability and security, and a portal to find it all. The goal is to let product teams ship quickly and safely without each becoming infrastructure experts.

Common use cases

  • Internal developer platformSelf-service platform for many teams.
  • Service templatesStandardised new service creation.
  • Preview environmentsPer-branch environments.
  • Developer portalCatalogue, docs and ownership.

Quick answers

Platform Engineering at a glance

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

What is platform engineering?
Internal developer platforms — golden paths, self-service environments, templates and guardrails for product teams.
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?
  • Golden paths
  • Service scaffolding
  • Self-service infrastructure
  • Guardrails
  • Developer portal
  • Platform metrics
Which technologies are used?
Kubernetes, Docker, Terraform, Argo CD, GitHub Actions, 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

Golden paths

Opinionated, supported defaults.

Service scaffolding

Templates with CI/CD and observability.

Self-service infrastructure

Databases, queues and environments on demand.

Guardrails

Security and cost policies built in.

Developer portal

Service catalogue and documentation.

Platform metrics

Adoption and developer experience measurement.

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

When does platform engineering pay off?

Typically when several teams build and run services and duplicate infrastructure effort.

Build or buy a developer portal?

Open-source portals and commercial products both work; the platform capabilities behind the portal matter more.

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 platform engineering 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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