Deploy often, sleep well.
Pipelines, infrastructure as code, monitoring and cloud cost control — so releases are routine and production stays observable.
- Team
- 50+ IT professionals
- Delivery
- Design, build, release, support
- Engagement
- Project or dedicated team
What this covers
Concrete work we take on under devops & cloud — not a catalogue of buzzwords.
Infrastructure as code on AWS, GCP or Azure
Containerisation, Kubernetes where it earns its keep
Monitoring, logging, alerting and cost reviews
Problems we take on
If one of these sounds familiar, we have likely shipped something close — and we will say so if we have not.
Releases are manual, risky and rare.
Nobody is sure what is running in production or what it costs.
You are migrating and need a path that does not take the product down.
Who this is for
This is for teams whose product already runs, and whose risk is the path to production: manual releases, unclear ownership of what is deployed, or a cloud bill nobody can explain.
It is also the right engagement when a rebuild or a new product needs environments from the start. The buyer is usually the person who is paged, or the person who has been asked why shipping takes a day and a half.
How an engagement starts
Written scope
We inventory what is actually running, who can deploy, and where logs and spend live. The written scope then names the first pipeline, the environments it promotes through, and the rollback path. Access is granted in your account and can be revoked.
First increment
The first increment is one service deploying through CI to a non-production environment, with infrastructure described in code. The next increment puts that path in front of production, with alerts that a human will actually answer.
Decisions we make with you
Kubernetes earns its keep when you have many services, a real need to schedule them, and people who will operate the cluster.
Managed containers or a platform service are the better default for a small number of workloads that need a routine release and a health check.
We stay on AWS, GCP, or Azure — whichever account you already have — unless a constraint in data residency, a managed service, or cost gives a concrete reason to move. A cloud migration is scoped as its own path so the product stays up.
What you own
You own the cloud account, the infrastructure code, the pipeline config, and the dashboards. We work inside that account. Secrets and billing stay in your control.
- You own
- Cloud account
- You own
- Infrastructure code
- You own
- Pipeline config
- You own
- Dashboards
Further reading
Cloud cost control for growing products
Spend is part of reliability. This covers how we look at usage as a product grows.
ReadObservability before you need an incident
Alerting before the first outage.
ReadTechnologies
Stacks we use when they fit the product and your team — not a mandatory toolkit for every engagement.
- Stack
- AWS
- Stack
- GCP
- Stack
- Azure
- Stack
- Docker
- Stack
- Terraform
- Stack
- GitHub Actions
- Stack
- GitLab CI
How we work
Scope first, named engineers, biweekly demos, and you keep the repo.
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Scope before code
We write what is being built, what is excluded, integrations, dates and cost basis before the build starts. Changes get quoted before they get coded.
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Talk to the people doing the work
You meet named engineers and designers. There is no account manager translating technical questions in both directions.
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Working software every two weeks
Increments land on staging you can open and use. Progress you can click on beats progress in a status report.
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You own everything
Repository, cloud account, domains and credentials stay yours. We work in your accounts wherever possible.
FAQ
Answers specific to devops & cloud — stacks, engagement and what we actually ship.
Do you set up AWS infrastructure for a custom multi-tenant SaaS?
Yes. For multi-tenant SaaS we set up environments, CI/CD, infrastructure as code and cost hygiene in your AWS account, alongside the product work under SaaS development. You keep ownership of the account and the spend.
Do you take over our cloud account?
We work in your accounts. You keep ownership; we set up access that can be revoked.
Do we need Kubernetes?
Only when the workload justifies it. Many products are better on managed containers or PaaS.
Can you fix a painful release process?
Yes. We replace manual, risky deploys with pipelines, environment promotion and rollback paths that your team can run.
Do you help with cloud cost?
We review usage, rightsizing and idle resources alongside reliability work — cost control is part of keeping production healthy.
AWS, GCP or Azure?
We work on all three. We stay with your current cloud unless there is a clear reason to move.
Related
Services that often sit beside devops & cloud on the same roadmap.
Why Three Index
AI-first software development company in Ahmedabad. Founded 2020. Fifty-plus IT professionals. Five hundred-plus projects shipped.
We are a software engineering company: large enough to staff serious products and small enough that the people who wrote a module can still explain it. See how we operate, our AI development work, browse case studies, read the FAQ, or join the team.
Tell us what you are trying to build.
Send a short description of the project. You will get a reply from someone technical — with questions worth answering, not a brochure.
