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DevOps consultancy · Dubai & remote

Your pipeline should be boring.

Deploys that finish in minutes, alerts that mean something, and a cloud bill you can explain. Built with your engineers and documented, so they keep running it after the engagement ends.

pipeline · main · #2471passed in 3m 27s
  1. checkout0:04
  2. deps · cached0:11
  3. test · parallel1:32
  4. build image1:18
  5. deploy · canary0:22

BEFORE

0

AFTER

0

DEPLOYS / WEEK

2 → 0

Illustrative of a typical pipeline engagement.

Working stack: Kubernetes, EKS, AWS, GCP, Terraform, OpenTofu, Argo CD, Jenkins, CircleCI, GitHub Actions, Prometheus, Grafana, InfluxDB, Telegraf, Datadog, ELK, Helm, Docker, Ansible, Linux, GitOps, FinOps.

Services

Eight things we do properly

Narrow on purpose. These are the areas where hands-on production experience changes the outcome, rather than areas where a framework can be applied.

CI/CD Pipeline Design & Implementation

Turn a slow, flaky pipeline into one that finishes in minutes and that engineers trust enough to deploy on a Friday.

  • Build and deploy times measured, then cut
  • One deployment path per service, not five
  • Rollback that has actually been tested
Read more →

Cloud Architecture & Migration Advisory

Design a cloud footprint that fits the team you actually have, and plan the migration in steps that can each be reversed.

  • A target architecture with the trade-offs written down
  • Migration sequenced so each step is reversible
  • Landing zone, networking and IAM boundaries defined
Read more →

Kubernetes Platform Engineering

Make Kubernetes a platform your developers can self-serve, instead of a system only one person understands.

  • Cluster topology and upgrade path documented
  • Resource requests and limits based on real usage
  • Developer self-service without cluster-admin access
Read more →

Observability — Metrics, Traces & Logs

Make the three signals work together, so an incident ends with a cause rather than a guess — and so the platform bill stops growing faster than traffic.

  • Alerts tied to user impact, not raw thresholds
  • Traces that reach the actual slow dependency
  • Log and metric retention costed deliberately
Read more →

GitOps & Developer Workflow Modernization

Make the repository the source of truth, so that what is deployed and what is reviewed are the same thing.

  • Declared state in git, reconciled automatically
  • Drift visible instead of discovered during an incident
  • A branching and review model the team will follow
Read more →

Cloud Cost Optimization

A cost review that produces specific changes with named owners, not a spreadsheet of theoretical savings.

  • Spend attributed to teams and services
  • Immediate cuts separated from structural ones
  • Guardrails so the savings do not erode
Read more →

Multi-Account AWS Governance

Bring order to an AWS estate spread across many accounts — who can do what, how traffic crosses boundaries, and where the spend actually lands.

  • Account structure and OU layout documented
  • Cross-account networking and IAM boundaries defined
  • Guardrails enforced as policy, not convention
Read more →

Disaster Recovery & Resilience

Build a recovery path that has actually been exercised, with recovery targets you can put in front of an auditor or a client.

  • RTO and RPO defined per service, then measured
  • Failover automated and exercised, not documented and hoped for
  • Runbooks your on-call can follow at 3am
Read more →

Cloud cost

Spend you can point at

Cost work fails when it produces a list of recommendations nobody owns. It works when every line has a name against it and a date — and when the guardrails go in at the same time, so the savings do not quietly reverse two quarters later.

How a cost engagement runs →
spend by category · monthly−53%
Illustrative cloud spend before and after an optimization engagement
CATEGORYSHARECHANGE DRIVER
compute · on-demandcommitment coverage
non-prod environmentsscheduled shutdown
data transferendpoint routing
observabilitycardinality
storage · snapshotslifecycle policy

beforeafterIllustrative figures.

Delivery

One path from commit to production

Not five undocumented ones. Every change takes the same route, every route has a tested way back.

rollback on failed canarycommitbuildtestcanaryproduction

How we work

Five stages, in this order

The order matters — most engagements go wrong by proposing changes before reading what is already there.

  1. 01

    Read what exists

    A week inside the repos, the pipeline and the dashboards before proposing anything.

  2. 02

    Measure

    Build times, alert volume, spend by service. Numbers before opinions.

  3. 03

    Agree the order

    A change list ranked by benefit against effort, with the trade-offs stated.

  4. 04

    Build with your team

    Your engineers write half of it. That is what makes it survive the handover.

  5. 05

    Hand over

    Written decisions, runbooks, and a working session — not a slide deck.

The longer version →

Notes

Working notes

Written while doing the work, not assembled for marketing. Useful if you want to see how the thinking goes before you hire it.

Next step

Tell us what is slow

A thirty-minute call, no deck. If the problem is not one we should take, we will say so and point you somewhere better.

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