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Shivacha CloudDevOps, Kubernetes & Platform Engineering

Site Reliability Engineering (SRE)

SRE practices and support — SLOs, error budgets, incident management, capacity planning and reliability engineering.

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

Site reliability engineering applies engineering to operations: defining reliability with SLOs, balancing reliability and velocity with error budgets, managing incidents consistently, learning from post-incident reviews, planning capacity and automating toil. We establish SRE practices and can provide embedded SREs or an SRE team.

Common use cases

  • SRE programme launchIntroducing SLOs and incident practices.
  • Incident managementConsistent response and communication.
  • Toil reductionAutomating repetitive operations.
  • Capacity planningPreparing for growth and events.

Quick answers

Site Reliability Engineering (SRE) at a glance

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

What is site reliability engineering (SRE)?
SRE practices and support — SLOs, error budgets, incident management, capacity planning and reliability engineering.
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?
  • SLOs & error budgets
  • Incident management
  • Post-incident reviews
  • On-call design
  • Capacity planning
  • Toil automation
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

SLOs & error budgets

Reliability targets tied to decisions.

Incident management

Roles, tooling and communication.

Post-incident reviews

Blameless learning processes.

On-call design

Sustainable rotations and runbooks.

Capacity planning

Load forecasting and testing.

Toil automation

Reducing manual operational work.

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

Is SRE different from DevOps?

SRE is a specific implementation of DevOps principles focused on reliability, using SLOs, error budgets and engineering approaches to operations.

Can you provide on-call support?

Yes, under managed services agreements with defined coverage and response times.

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 site reliability engineering (SRE) 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

Your details are used only to reply to this enquiry.

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