DevOps Engineering

The engineering behind every release

Automated pipelines, infrastructure as code, and monitoring that catches a bad release before your customers do.

What Is DevOps Engineering?

A practice of automating how software gets built, tested, released and run. It covers delivery pipelines, infrastructure automation, containerization, security in the release process, and monitoring that tells you whether a deployment worked.

A glowing infinity loop above a row of pipeline blocks

What Delivery Speed Actually Costs

  • 43.5%

    Teams take more than a week to get a change from commit to production.

    DORA, State of DevOps, 2025

  • 39.5%

    Teams have a change of failure rate above 16%, meaning roughly one deployment in six causes a problem.

    DORA, State of DevOps, 2025

  • 56.5%

    Teams take between one day and one week to restore service after a failed deployment.

    DORA, State of DevOps, 2025

Signs You Need DevOps Engineering

  • Every Release Needs a Plan
  • Deployment Dependent on a Single Engineer
  • Your Environments Do Not Match
  • Production Issues Reported by Customers First
  • Infrastructure Configured Manually
  • Deployment Frequency Declining Over Time

What DevOps Engineering Covers

Build, test and deployment pipelines with automated quality gates, environment promotion and validated rollback paths.

How We Build Delivery Pipelines

Our DevOps Engineering & consulting services runs Launch and Evolve on The Pivot.

Application changes required to support automated delivery run through Product Engineering or Legacy Modernization.

  • 01

    Discover

    Delivery path mapped end to end, with bottlenecks and failure points identified.

    Output: documented current state.

  • 02

    Define

    Target deployment frequency, change failure rate and recovery time agreed against a measured baseline.

    Output: baseline metrics and targets.

  • 03

    Design

    Pipeline architecture, environment strategy, infrastructure design and embedded security controls.

    Output: delivery design for review.

  • 04

    Build

    Pipelines, infrastructure as code and automation implemented incrementally, sequenced by friction.

    Output: automation in production use.

  • 05

    Launch

    Cutover to the new pipeline, with legacy delivery paths decommissioned.

    Output: a single delivery path under your ownership.

  • 06

    Evolve

    Continuous measurement against baseline, with tuning as the estate grows.

What You Walk Away With

A delivery process your team runs without thinking about it.

  • Automated pipelines executing on every change
  • Declarative infrastructure in your repositories
  • Validated rollback paths
  • Security scanning embedded in the pipeline
  • Deployment health monitoring and alerting
  • Baseline and current delivery metrics
  • Runbooks under your ownership

Our Technology Landscape

  • Pipelines

    • GitHub Actions
    • GitLab CI
    • Jenkins
    • ArgoCD
  • Infrastructure as code

    • Terraform
    • Pulumi
    • Ansible
    • CloudFormation
  • Containers and orchestration

    • Docker
    • Kubernetes
    • Helm
    • EKS
    • AKS
    • GKE
  • Security

    • Snyk
    • Trivy
    • SonarQube
    • HashiCorp Vault
  • Observability

    • Datadog
    • Grafana
    • Prometheus
    • OpenTelemetry
  • Cloud

    • AWS
    • Microsoft Azure
    • Google Cloud

Common Questions

Often not. Kubernetes solves problems that appear at a certain scale and creates operational overhead below it. We will tell you if something simpler fits what you actually run.

Tell Us Where Releases Get Stuck

Describe how code reaches production today and what goes wrong.

Talk to An Engineer
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