01
Teams shipping user-facing products where AWS’s strengths compound over time.
Fits you
Senior AWS · 5-day deploy
99.97%
Uptime
180ms
P95 latency
100K
Concurrent users
AWS
AWS architecture that scales with your success, not against your budget.
Most AWS bills are 3× what they should be. Poor architecture + defaults + never-touched infrastructure. We fix that.
# Terraform, not ClickOps
resource "aws_ecs_service" "api" {
name = "ligio-api"
cluster = aws_ecs_cluster.main.id
task_definition = aws_ecs_task_definition.api.arn
desired_count = var.env == "prod" ? 3 : 1
}
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Who this is for
When AWS is the right pick.
If any of these sound like you, we should talk.
02
Startups avoiding the "rewrite in year two" trap by picking a stack that scales with the team.
Fits you
03
Enterprises modernising legacy monoliths, module by module, without big-bang rewrites.
Fits you
04
Product teams who want senior engineering partners, not staff-augmentation bodies.
Fits you
The proof
How we structure a production AWS project.
LAYER 1
Architecture
Clear module boundaries. Typed contracts. No circular dependencies. Easy to onboard new engineers in a week, not a month.
LAYER 2
Testing
Unit for logic, integration for boundaries, E2E for critical flows. 80%+ coverage on money-handling paths.
LAYER 3
Observability
Structured logs, traces, metrics. Every deploy has an alarm trail. Every 3AM incident has a trail back to root cause.
What we build
Where we deploy AWS.
01
Greenfield products
v1 through to first scale.
02
Team augmentation
Senior engineers embedded with yours.
03
Legacy modernisation
Strangler-fig migration to AWS.
04
Code review & audit
Independent technical audit for investors or acquirers.
ClientA gaming startupSaaS
AWS bill reduced from <em>₹3L/month to ₹80K</em>, same architecture, better configured.
A AWS project where architecture decisions made in week one held up under 100× scale. No rewrite. No regrets.
01
99.97%
Uptime
02
180ms
P95 latency
03
100K
Concurrent users
04
14
Engineers on the codebase
What it's like working with us
Three AWS agencies told us the job would take 9 months. Ligio shipped in 14 weeks. Better code than the last two hires.
HP
Harish P.
CTO · A gaming startup
SaaS · India
Tech stack
The tools. Chosen for your reasons.
10technologies in rotation
01ECS / Fargate
02Lambda
03RDS
04DynamoDB
05SQS
06CloudFront
07Route 53
08Terraform
09CDK
10Cost Explorer
Process
How we actually work.
06 stages
01
Scoping
Is AWS right for your problem?
Week 1
02
Architecture
Data model, services, deployment.
Weeks 1-2
03
Scaffold
CI/CD, lint, tests, observability.
Week 2
04
Build
Features. AWS idioms. Senior code.
Weeks 3-12
05
Harden
Load test, security, docs.
Weeks 12-14
06
Launch
Staged rollout. 30-day on-call.
Week 14
Questions
Answers, without the fluff.
Still have questions? Talk to us — we answer within a business day.
05common questions
01Serverless or containers?
Containers for steady load, Lambda for spikes and glue. Most production systems use both. We design the split on actual usage.
02How long does a typical engagement take?
Most projects run 10-18 weeks from kickoff to production launch. We share a milestone plan in week one and update weekly.
03Do you sign an NDA?
Yes. Standard mutual NDA on request, before the first technical conversation.
04Who owns the code and IP?
You do. Code is in your GitHub org from day one. All IP transfers unambiguously on delivery.
05What does your pricing model look like?
For v1 builds: fixed scope, fixed milestones. For ongoing work: monthly retainer with a defined team. We don't do time-and-material surprise billing.
Related
Explore more of what we do.
AWS done properly.
A 30-minute technical conversation. Bring your architecture questions.
NDA on request.