Cloud, DevOps and cost
Deployments you don't dread, backups you've actually tested, and a cloud bill that makes sense.
In short
Cloud cost optimization starts by measuring what you run and what it costs; the DevOps work makes environments rebuildable from code and backups proven by restoring them. It is for teams deploying by hand or whose bill outgrew their traffic.
I ran a media group's servers on Google Cloud and AWS.
Key facts
- Engagement
- fixed-scope project
- Price
- Fixed-scope quote; optional monthly retainer
- Timeline
- Agreed per project, then optional monthly care
- First step
- ReviewInventory what runs where, what it costs, how it's deployed and how it would be restored.
- Works with
- Google Cloud
- AWS
- Terraform
- Docker
- GitHub Actions
- NGINX
- PostgreSQL
- MySQL
- Redis
- Grafana
- Prometheus
- Based in
- Mumbai, India · UTC+5:30I plan my working day around my clients' hours. The overlap with your timezone is shown on the contact page.
What it is
What cloud cost optimization and DevOps cover
Cloud, DevOps and cost is setting up or taking over the infrastructure a web application runs on, on Google Cloud or AWS, so that every environment can be rebuilt from code, deploys are routine, backups are proven by restoring them, and the bill matches the traffic. It is for teams deploying by hand, startups leaving shared hosting or a single server, and companies whose cloud spend has grown faster than their users.
I ran 15+ production servers across Google Cloud and AWS for a media group's products; this is that work, written down so your team can carry it on.
Who it is for
Who it is for, and who it is not
Who this is for
- Teams still deploying by hand or over SSH
- Startups moving off shared hosting or a single server
- Companies whose cloud bill has grown faster than their traffic
Who this is not for
- Companies with an established SRE team: I'm happy to review their work, but they don't need this
What you get
What you get
- Infrastructure as code (Terraform) for every environment
- CI/CD with tests, preview environments and one-step rollback
- Containerized services and a documented deploy process
- Monitoring, logging and alerting that someone will actually read
- Backups with a tested restore, and a written recovery plan
- A cost report: savings made, and the ones still available
Scope
The review comes first: an inventory of what runs where, what each part costs, how it is deployed and how it would be restored after a failure. From that we agree the scope: usually infrastructure as code for every environment, a CI/CD pipeline, containerized services, monitoring and alerting, database high availability and backups, and a cost pass. Ongoing monthly care is optional and separate.
What is built and reviewed
Infrastructure is described in Terraform and kept in the repository, so a new environment is a pull request, not a weekend. CI/CD runs the tests, builds a preview for each change and deploys with one-step rollback. Monitoring starts with a few alerts someone will actually act on, not a wall of dashboards. Backups are restored into a separate environment on a schedule, and the recovery plan says who does what, in which order.
The cost pass follows the cloud providers' own frameworks: measure first, then right-size instances, remove idle resources, cache in front of expensive services, and use committed or spot capacity where the workload allows. The cost report lists savings made and the ones still available, with the trade-off of each.
What it is not
It is not a replacement for an established SRE team; if you have one, I'm happy to review their work, but you don't need this. It is not a migration to Kubernetes by default either. For many products, managed services such as Cloud Run or a small set of containers are cheaper to operate, and the voting platform in my case studies ran without a cluster.
How it works
How the engagement runs
- Step 01
Review
Inventory what runs where, what it costs, how it's deployed and how it would be restored.
- Step 02
Codify
Describe the infrastructure as code so every environment can be rebuilt from the repository.
- Step 03
Automate
CI/CD with tests and previews; deploys become routine instead of events.
- Step 04
Observe and optimize
Dashboards and alerts first, then right-sizing and caching where the numbers say it pays.
Technologies I use for this
- Google Cloud
- AWS
- Terraform
- Docker
- GitHub Actions
- NGINX
- PostgreSQL
- MySQL
- Redis
- Grafana
- Prometheus
How this works in your market
How this works in the United Arab Emirates
For teams in the UAE, data residency is settled before the first resource is created. I build in a UAE cloud region and keep backups, logs and monitoring data there too, so residency holds end to end, not only for the main database. Which data-protection regime applies, federal, DIFC or ADGM, is for your counsel to confirm; the infrastructure is built to whichever one it is.
How this works in the United States
For US teams, the deliverables double as evidence. The access controls, change history, logging and restore-tested backups that this work produces are what enterprise buyers ask for in security questionnaires and what a SOC 2 auditor looks for. Your morning overlaps my evening, which is when planned maintenance and cut-overs happen.
Proof
Case studies behind this service
- Case study: TopGear India CMS · CMS migration and modernization
- page load time, before → after
- 1–3 min → 3 s
- Case study: InfluencerX · Real-time voting platform
- users over the campaign
- 1.6M+
FAQs
Questions about Cloud, DevOps and cost
Which clouds do you work with?
Mainly Google Cloud and AWS. I also deploy to Vercel, Railway and DigitalOcean, and to GPU clouds such as RunPod for model serving.
Do you offer ongoing server care?
Yes, as a monthly retainer: updates and patches, monitoring, backup checks, cost reviews and small changes.
How do you approach cutting costs?
By measuring first: right-sizing instances, removing idle resources, caching in front of expensive services, and using committed or spot capacity where the workload allows.
Can our data stay in the Gulf?
Yes. I build the infrastructure in cloud regions inside the UAE or Saudi Arabia, and keep backups, logs and monitoring data there too, so data residency holds end to end, not only for the main database.
Do we need Kubernetes?
Usually not at first. Managed containers and a load balancer handle a lot of traffic with far less to operate. Kubernetes earns its place when you run many services with different needs.
What is infrastructure as code?
Describing servers, networks, databases and permissions in files kept in version control, so environments are created and changed by reviewed code instead of by hand.
Will we be locked in to you?
No. Everything lives in your cloud accounts and your repository, and the runbook is written so another engineer can take over.
Where does a cloud bill usually leak?
Five places to check first: idle resources, such as test environments and instances left running; instances sized for a peak that never comes; data transfer, because networking is billed like compute and storage; log volume, because logs are billed on how much is ingested and stored; and data nobody reads any more, which lifecycle rules can move to cheaper storage classes. Google Cloud's and AWS's own guidance says to stop VMs you don't need, avoid overprovisioning, plan for data transfer and move data to lower-cost storage automatically, and AWS prices logs by what is ingested and stored. The cost report puts a figure on each from your own bill and lists what was saved and what is still available.
What does a DevOps consultant do?
A DevOps consultant sets up or takes over the machinery around your code: infrastructure described as code so any environment can be rebuilt, CI/CD that tests and deploys with one-step rollback, containers, monitoring and alerts someone will act on, and backups proven by restoring them. I do this on Google Cloud and AWS, in your accounts, and leave a runbook so another engineer can take over.
Sources
- HashiCorp: What is Terraform?
- Google Cloud Well-Architected Framework: cost optimization
- AWS Well-Architected: Cost Optimization Pillar
- AICPA: SOC 2, SOC for Service Organizations
- Google Cloud Well-Architected Framework: optimize resource usage
- AWS Well-Architected: plan for data transfer
- Amazon CloudWatch pricing (how logs are billed)
Related writing
- Article: How a voting platform held up through a 22-day campaign · 2 November 2026
The architecture behind the InfluencerX voting platform: Cloud Run behind a load balancer with health checks, layered caching and Supabase.
- Article: TopGear India: moving a publishing CMS from CodeIgniter to Laravel while the newsroom kept publishing · 2 November 2026
The decisions behind one CMS migration: a full rewrite, the content model and URLs kept, the speed found in SQL, caching and images, and an editor-first CMS.
Where this work happens
- Working with teams in United Arab Emirates · Dubai
A software engineer for UAE teams in Dubai and Abu Dhabi, working remotely from Mumbai with nearly the full working day in common. It is for digital teams building platforms that must meet the UAE's data-protection rules, where the first question is whether the federal law, the DIFC law or the ADGM regulations apply.
- Working with teams in United States · New York · Chicago · San Francisco
A senior software engineer for US startups and product teams, working remotely from Mumbai so that the East Coast morning falls inside my evening. It is for founders and CTOs who need senior engineering without a full-time hire: MVPs, AI features, performance work and rescuing apps built in a hurry.