DevOps consultancy · Dubai & remote
Your infrastructure 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.
- checkout0:04
- deps · cached0:11
- test · parallel1:32
- build image1:18
- deploy · canary0:22
BEFORE
41m 08s
AFTER
3m 27s
DEPLOYS / WEEK
2 → 31
Illustrative of a typical pipeline engagement.
Services
Nine 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
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
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
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
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
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
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
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
Pipeline & Supply Chain Security
Put the security controls where the code already flows, so issues surface at merge time instead of in a penetration test report six months later.
- Code and dependency scanning gating the pipeline
- Artifacts versioned, scanned and traceable to a commit
- Secrets out of repositories and CI variables
Why this works
The answers are cheap. Changing how a team works is not.
Every technical answer this work needs is already documented, and an assistant will write you a working pipeline in seconds. That was never the scarce part.
Teams do not fail on knowledge
Nobody is stuck because they have not heard of infrastructure as code. They are stuck on a habit that made sense once and nobody revisited — the deploy only one person can run, the console fix that never came back into code, the alert everyone has learned to ignore.
Declarative is a discipline, not a tool
Any team adopts it on paper in a week. What it actually asks is that at 3am you fix the definition rather than the running system — when the console is right there and the fix takes ten seconds. That gets learned alongside someone, during real incidents.
The handover is the engagement
A pipeline only the consultant understands is a liability you paid for. Your engineers write half of what gets built, the reasoning is written down including the rejected options, and the measure is what the team is still doing six months later.
Some of this is instruction rather than engineering. That is not a compromise on the technical work — it is what decides whether the technical work survives the handover.
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 →| CATEGORY | SHARE | CHANGE DRIVER |
|---|---|---|
| compute · on-demand | commitment coverage | |
| non-prod environments | scheduled shutdown | |
| data transfer | endpoint routing | |
| observability | cardinality | |
| storage · snapshots | lifecycle 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.
How we work
Five stages, in this order
The order matters — most engagements go wrong by proposing changes before reading what is already there.
- 01
Read what exists
A week inside the repos, the pipeline and the dashboards before proposing anything.
- 02
Measure
Build times, alert volume, spend by service. Numbers before opinions.
- 03
Agree the order
A change list ranked by benefit against effort, with the trade-offs stated.
- 04
Build with your team
Your engineers write half of it. That is what makes it survive the handover.
- 05
Hand over
Written decisions, runbooks, and a working session — not a slide deck.
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.
- Your disaster recovery plan has probably never been runWhy documented recovery targets are not recovery capability, which dependencies break a failover, and how to produce evidence a client security review will accept.
- Your disaster recovery plan has probably never been runWhy documented recovery targets are not recovery capability, which dependencies break a failover, and how to produce evidence a client security review will accept.
- Resource requests and limits are probably copied from somewhereHow to derive Kubernetes requests and limits from real usage, why CPU limits often cause the incidents they were meant to prevent, and what to do about memory.
Next step
Tell us what is not working
A thirty-minute call, no deck. If the problem is not one we should take, we will say so and point you somewhere better.