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Cloud infrastructure & DevOps.

Deployments that are boring, rollbacks that are one click, and a cloud bill someone can actually explain.

AWSGCPAzureDockerECSEC2GitHub ActionsCodePipeline
Discuss this serviceDelivery process
Overview

If deploying is scary, everything downstream is slow: releases get batched, bugs ship in bulk, and engineers stop experimenting. This service replaces manual, tribal-knowledge operations with containerized workloads, pipeline-based deploys, and monitoring that tells you about problems before your customers do.

I've run production workloads across AWS, GCP, and Azure — ECS/EC2 deployments, partner-instance onboarding automation, containerized execution farms for a QA platform. The work is incremental by design: your system keeps running while its foundations are replaced underneath it.

What's included

Scope of the service

Infrastructure auditA written map of what you're running, what it costs, where the single points of failure are, and what breaks first under load.
  • ▸Full inventory: compute, storage, networking, third-party services, and who can access what
  • ▸Single-point-of-failure map ranked by blast radius
  • ▸Cost breakdown by service with the top savings called out
DELIVERABLEWritten audit report — usable as the migration plan, or on its own.
ContainerizationDockerized workloads with reproducible builds — the end of 'works on my machine' and hand-configured servers.
  • ▸Multi-stage Docker builds with image scanning and a registry strategy
  • ▸Local dev environment matching production — one command runs the stack
  • ▸Pinned dependencies and reproducible builds; no snowflake servers
DELIVERABLEContainerized services building in CI, with images your pipeline deploys.
Orchestration & environmentsECS / EC2 / Cloud Run deployment topology with dev, staging, and production kept in parity.
  • ▸Topology sized for your load, with autoscaling policies that have been tested
  • ▸Same containers in every environment — only config differs
  • ▸Network design: VPCs, security groups, least-privilege IAM
DELIVERABLERunning environments on your cloud account, defined as code.
CI/CD pipelinesGitHub Actions or CodePipeline: test, build, deploy, and roll back from a merge — no SSH, no ceremony.
  • ▸Test → build → deploy on merge, with protected branches and review gates
  • ▸One-click rollback — rehearsed, not theoretical
  • ▸Deploy notifications and a change log your team can read
DELIVERABLEA pipeline where shipping is a merge and rollback is a click.
Monitoring & alertingLogs, metrics, and alerts tuned so pages mean something — plus dashboards your team actually checks.
  • ▸Centralized metrics, logs, and traces with retention matching your compliance needs
  • ▸Alerts tuned to symptoms users feel — not CPU noise — with escalation paths
  • ▸Dashboards for the three questions that matter: is it up, is it fast, what changed
DELIVERABLEMonitoring stack with a runbook link in every alert.
Cost reviewRight-sizing, reserved capacity, and the honest list of what you're paying for and don't use.
  • ▸Right-sizing recommendations from actual utilization data
  • ▸Reserved / spot capacity strategy where it's safe
  • ▸Tagging and cost attribution so future bills are explainable
DELIVERABLECost report plus the changes implemented, with before/after numbers.
How it runs

Phases specific to this service

These slot into the standard engagement process — discovery, requirement analysis, and a written proposal always come first.

1

Audit & target architecture

Week 1

Inventory of current infra, deployment steps, and failure history. Output: the target architecture and a migration order that never takes production down.

2

Containerize & pipeline

Weeks 2–3

Workloads move into containers; a CI/CD pipeline deploys to a new staging environment that mirrors production.

3

Incremental cutover

Weekly slices

Services move to the new infrastructure one at a time, each behind a rollback plan that's been tested, not assumed.

4

Observability & drills

Week after cutover

Monitoring, alerting, and backup/restore drills — we practice the bad day before it happens.

5

Runbook & handover

Included

Runbooks, architecture docs, and a walkthrough so your team operates the platform without me.

Proof

Where I've done this before

Shipped work this service is based on — details on the projects page.

Lead Infra Architect
AI-Powered QA PlatformContainerized execution workflows running Cypress, Playwright, and JMeter test farms in Docker.
Backend Lead
Healthcare & Insurance SaaS PlatformOnboarded new insurance-partner marketplace instances through DevOps automation on AWS/GCP.
Backend Developer
Business Intelligence & Data Aggregation SaaSManaged AWS infrastructure and CI/CD with RDS, EC2, and CodePipeline.
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Fit

Is this the right service?

GOOD FIT IF
  • ▸Deploys are manual, feared, or depend on one person
  • ▸You're on one big server and growth is exposing it
  • ▸The cloud bill grew 3x and nobody can say why
  • ▸Compliance requires environment separation and audit trails you don't have
NOT A FIT IF
  • ·You need a 24/7 managed NOC — I build the platform, not the night shift
  • ·The estate is on-prem hardware with no cloud path

ENGAGEMENT · Fixed-scope for a defined migration, or a retainer for ongoing infrastructure ownership after the build.

Other services
01Backend architecture & API development→02Full-stack SaaS product development→04Legacy migration & modernization→05AI-powered tooling & automation→06Fractional tech lead & team leadership→
Contact

Sound like your problem?

Send a short description of what you're building and where it hurts. Discovery call is free; written proposal within a week of requirement analysis.

Email meAll services
[email protected] · +91 79862 35112