Automation culture and Site Reliability Engineering

DevOps & SRE

We transform how you deliver software. We implement robust pipelines, automate all infrastructure, apply SRE discipline, and leave you with an internal developer platform that makes the right thing trivial and the unsafe thing hard. Your teams gain speed; your platforms gain stability.

DORA Elite Target performance
100% Infrastructure as code
24×7 Human on-call
Overview

More than pipelines: a platform for engineering

DevOps isn't a team, it's a way of operating: short cycles, continuous feedback, shared responsibility. SRE adds the quantitative discipline: SLOs, error budgets, toil reduction. Together they transform how a product team delivers value.

We bring this culture to life with concrete artifacts: an internal platform (Kubernetes, GitOps, IaC) that standardizes the boring, pipelines that go from commit to production in minutes, observability that answers 'why' and not just 'what', and a human on-call with tested runbooks. We measure with DORA metrics and target Elite performance.

Deliverables

What we deliver

Internal Developer Platform

Kubernetes + GitOps + service templates. Your developers create, deploy and observe without opening tickets.

End-to-end CI/CD pipelines

Reproducible build, tests, security scanning, signed publishing, progressive deploy (canary/blue-green) and automatic rollback.

Reusable IaC

Battle-tested, versioned Terraform modules and Ansible roles, each with its own pipeline. Idempotent environments from dev to prod.

SLO catalog

Per-service definition (availability, latency, quality), error budgets, burn-rate alerts and quarterly review.

Observability stack

Prometheus + Grafana + Loki + Tempo or Datadog/Elastic depending on existing stack. Dashboards per service and per team.

Runbooks and on-call

Playbooks per incident, rotations in PagerDuty/Opsgenie, blameless post-mortems and continuous improvement plan.

Process

How we work

A realistic, measurable roadmap. We start with today's pain and add maturity without breaking delivery.

  1. 01

    DORA diagnosis

    We measure lead time, deployment frequency, MTTR and change failure rate. We understand real bottlenecks and risks.

  2. 02

    Foundations

    IaC base, clean accounts/environments, unified pipeline and essential observability. We stop fighting fires.

  3. 03

    Platform

    IDP with self-service, service templates, GitOps with Argo CD and ephemeral PR environments.

  4. 04

    SRE

    Per-service SLOs, error budgets, runbooks, structured on-call and productive post-mortems.

  5. 05

    Continuous improvement

    Periodic retros, DORA benchmarking, toil reduction and continuous training. The platform evolves with the product.

Technologies

Tools we use

We pick open and mature tools. We're agnostic about vendor and about the product's language.

TerraformAnsiblePulumiKubernetesHelmArgo CD / Argo WorkflowsGitHub ActionsGitLab CIJenkinsPrometheusGrafanaLokiTempoOpenTelemetryDatadog
Use cases

Typical scenarios

Slow or manual deploys

From 'deploy on Fridays' to dozens of deploys a day with automatic rollback and real confidence in production.

On-call that burns out the team

Up to 80% alert reduction, real SLOs and better runbooks — so being on-call stops meaning losing a weekend.

Inconsistent Kubernetes platform

We normalize clusters with GitOps, OPA policies and Helm. One mental model for all environments.

Cloud or legacy migration

Strangler fig, containerization, IaC and new pipelines — without long freezes or risky big-bang releases.

Outcomes

Target DORA metrics

>1/day Deployment frequency
<1h Lead time for changes
<1h MTTR on incidents
<15% Change failure rate
FAQ

Frequently asked questions

Do you replace my engineering team?

No. We work as a technical extension. The explicit goal is your team gaining autonomy: we document, train, pair. When we leave, you keep the platform and the knowledge.

Can you work with our existing stack?

Yes. We don't impose a stack: we audit, reuse what works and only replace what creates measurable friction. We've operated pure AWS, pure Azure, multi-cloud, hybrid and on-prem stacks.

How long until we see results?

DORA metrics start moving in 6–8 weeks. A qualitative leap (platform, SLOs, structured on-call) typically appears between month 3 and 6, depending on the starting point.

Do you run on-call yourselves?

Yes, we operate 24×7 on-call with contractual SLAs. It can be full L1/L2 or L3 escalation alongside your team. Runbooks and rotations are documented from day one.

Get started

Want to talk about your infrastructure?

30 minutes, no strings attached. We audit your setup and give you actionable recommendations.

Book a call