DevOps Consulting

Automate.
Deploy.
Observe.

Our DevOps consulting team builds the pipelines, infrastructure as code and monitoring that let you release on a Tuesday afternoon without holding your breath. Fewer manual steps, and alerts that reach you before customers do.

Talk to a DevOps engineer How we work ↓

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We work in GitHub, GitLab & Kubernetes

Built in your own repositories

pipelines.pixeledge.io

CI/CD Pipeline 4 / 4 stages

Build

Passed

Test

Passed

Deploy

Passed

Monitor

Passed

Deployed to production — 2 min ago

main

Branch

Ready

Rollback

Logged

Audit trail

Automated Releases

Run by the pipeline

Incident Runbooks

On-call steps written

Stages in a DevOps Engagement

DevOps Services We Offer

Tool Categories We Work In

Ways to Get Started

01 — What we do

Pipelines and platforms that make release day uneventful

Most teams we meet already have some automation. The gaps tend to sit in the same places: manual deploy steps, environments that drift apart, and alerts nobody trusts.

CI/CD Pipeline Engineering

Every commit is built, tested and deployed the same way, by the pipeline rather than by whoever remembers the deploy script. Releases become routine instead of a planned outage.

GitHub Actions GitLab CI Jenkins

Infrastructure as Code & Containerisation

Servers, networks and containers defined in code and kept in Git, so staging matches production and a lost environment is rebuilt from a repository, not from memory.

Terraform Docker Kubernetes

Observability & Incident Response

Dashboards, alert thresholds tuned to cut the noise, and runbooks that tell whoever is on call what to check first.

Monitoring Alerting Runbooks

02 — DevOps services

DevOps consulting services we offer

Pick one piece or the whole set. Each is scoped and priced on its own, and built alongside the teams still shipping through it.

CI/CD Pipeline Design

Pipelines in GitHub Actions, GitLab CI or Jenkins that take each commit through build, tests and release without anyone copying files by hand.

Repeatable releases

Docker & Kubernetes Containerisation

Applications packaged into containers that run the same on a laptop, in staging and in production, with Kubernetes adding capacity when traffic arrives.

Auto-scaling

Infrastructure as Code

Terraform, Pulumi or Ansible, so every infrastructure change goes through a pull request and can be reviewed, tested and rolled back.

Version-controlled

Cloud Platform Engineering

Accounts, networking and platform services on AWS, Azure or GCP, set up for your workload rather than copied from a reference diagram.

AWS, Azure or GCP

Monitoring, Alerting & Observability

Datadog, Grafana or Prometheus dashboards with alerts tied to what customers experience, such as error rates and slow pages, not just CPU.

Customer-facing alerts

Log Management & Distributed Tracing

Logs and traces in one place, so when a request fails somewhere across three services you can follow it through instead of searching five servers.

Traces across services

Environment Standardisation & Tooling

Containerised developer environments and shared tooling, so new starters get going quickly and "works on my machine" stops being why a release slips.

Same setup everywhere

Incident Management & Runbooks

Escalation paths, on-call rotas and written runbooks, so a 2am alert gets a calm, practised response rather than a scramble.

Written runbooks

Typical engagements

The kind of DevOps work we do

Typical scenarios showing how this work usually runs. These are not named clients.

Discuss your pipeline

Example engagement

Financial Services

CI/CD Pipeline Rebuild

A finance firm releasing through tickets, manual sign-offs and a weekend change window. We replace it with an automated pipeline that has the approvals built in.

Releases without weekend downtime

Example engagement

Retail & E-commerce

Kubernetes Platform Migration

A monolithic retail platform where someone resizes servers by hand before every seasonal peak. We containerise it and move it onto Kubernetes with autoscaling.

Scaling handled by the platform

Observability & Incident Response Overhaul

Example engagement

Professional Services

Observability & Incident Response Overhaul

A services firm with alerts nobody trusts and incidents diagnosed by whoever is awake. We centralise monitoring, tune the alerting and write on-call runbooks.

Alerts people act on

03 — How we deliver

How a DevOps engagement runs

We change your pipeline in stages, alongside the teams shipping through it, so nobody has to freeze releases while the work happens.

Audit

We sit with your engineers, walk through a real release and map where the time and risk go: manual approvals, flaky tests, environments that don't match.

Pipeline review Bottleneck analysis Tooling audit

Design

A target pipeline and infrastructure design, split into milestones you could stop after. Each one leaves you better off, even if the next is postponed.

Target architecture Milestone plan Tool selection

Automate

We build the pipelines, Terraform modules and dashboards in your own repositories, through pull requests your team reviews, so nothing arrives as a black box.

Pipeline build IaC modules Dashboarding

Operate

Handover is part of the job: training sessions, written runbooks, and ongoing support if you want it, or a clean exit if you don't.

Team training Runbooks Ongoing support

04 — Our toolchain

Tools and platforms we work in

We don't push a favourite stack. If GitLab CI already works for you, we'll improve it rather than move you to something new.

CI/CD

GitHub Actions GitLab CI Jenkins

IaC

Terraform Pulumi Ansible

Containers

Docker Kubernetes Helm

Cloud Platforms

AWS Azure GCP

Observability

Datadog Grafana Prometheus

Incident Management

PagerDuty Runbooks

05 — Get started

Two ways to get started

Some teams want the whole delivery platform rebuilt. Others want an outside view of what they already have before deciding.

Full DevOps Programme

We build automated pipelines, infrastructure as code and monitoring together, for teams replacing a manual or fragile release process.

An audit of your current pipeline
CI/CD and IaC built in your repos
Monitoring and alerting rollout
Runbooks, plus training for your team

Discuss a full DevOps programme

Pipeline & Platform Audit

You have a pipeline, but builds are slow, deploys still need a person, or incidents take too long to diagnose. We review it and give you a prioritised list of fixes.

A health check of your pipeline
Infrastructure and security review
Where your monitoring has gaps
Fixes ranked by effort and impact

Ask about a pipeline audit

Automate.
Deploy.
Observe.