Case studies
Real engagements. Verified outcomes.
Most client names are withheld by agreement — clients are named only with their permission. Every architecture, decision and metric is real, verified with the engagement owner.
ANS Commerce (Flipkart group) · AWS · Azure · GCP
Modernising a high-growth commerce platform across AWS, Azure and GCP
Working constraints
- A live platform — no disruptive cutovers
- Three independent cloud environments
- An existing Terraform and Jenkins toolchain to build on
Measured outcomes
3 clouds
AWS, Azure and GCP
EC2 → GKE
VM-to-container re-platforming
~30%
Cost reduction in confirmed scope
Principal-led
Senior engineering ownership
Client confirmation
“ClimsTech worked closely with our engineering team on cloud infrastructure and DevOps for a demanding ecommerce environment — a hands-on approach to automation, scalability and platform operations, adapting well to peak-business priorities.”
Selected engagements, organised by the problem solved.
Showing 15 engagements — every metric verified with the engagement owner.
Built for traffic that does not arrive gradually
Separated synchronous traffic from background workloads, calibrated autoscaling through staged load tests, Redis protecting the database.
99.97%
peak-event availability · p95 held
Scope: 120,000+ concurrent-user scenario validated
Staged production-like load test + live peak events
Turning fragmented monitoring into an operating system for reliability
One observability framework across the estate — ownership and escalation defined on every alert; noise down 68%.
38 min
mean time to recovery (from 2h 20m)
Scope: 92 workloads across 14 AWS accounts
Production result — 14-account estate
Preparing a commerce platform for four times normal transaction volume
Re-architected deployment, observability, rollback and capacity testing ahead of peak season.
99.98%
availability at 4.2× normal volume
Production result — seasonal peak
From manually created infrastructure to controlled, auditable delivery
Manually created infrastructure replaced with controlled, auditable, fully version-controlled delivery.
45 min
provisioning (from 3 days) · 58% fewer config incidents
Production result — regulated environment
Reducing cloud expenditure without reducing operational confidence
Rightsizing, scheduling, commitments and tagging — with an ownership model that keeps the bill down after handover.
31%
lower monthly cloud spend, availability preserved
Scope: 180+ resources assessed; 97% of spend allocated to owners
Production result — verified billing scope
Finding security issues while they are still inexpensive to fix
Security checks inline in delivery, with risk-based release gates, ownership, time-bound exceptions and retesting.
72%
fewer critical findings reaching production
Scope: 95% automated coverage; remediation 18 → 7 days
Production result — release cycles
Coordinating application and database change as one release system
Database change as versioned, validated migrations coordinated with application delivery — gates, approval and rollback in the pipeline.
60%
fewer failed production releases · DB deploys 50 → 14 min
Scope: 180+ migrations version-controlled
Production result — engagement release cycles
Moving a live travel platform to AWS without betting everything on one cutover
Dependency-grouped waves onto Terraform-built AWS, with rehearsed cutovers and a proven rollback per wave.
<90 min
final cutover disruption · 29% lower operating cost
Scope: 76 VMs · ~38 TB moved in dependency-grouped waves
Production migration — live booking platform
More engagements
Consolidating dozens of services without recreating old complexity
Migration & modernisation · Enterprise SaaS · GCP · Kubernetes · Multi-cloud
<20 min final production disruption
Scope: 52 microservices migrated
Detecting infrastructure risk before users report it
Reliability & operations · Healthcare technology · Multi-cloud
4 min issue detection (from 22m)
Scope: 58 servers instrumented
Moving from server-specific deployment to a standardised container platform
Scale & platform · Retail technology · AWS · GCP · Kubernetes · Multi-cloud
15 min deployment (from 90m)
Scope: 24 services migrated
Moving from machine-level capacity to service-level elasticity
Scale & platform · Consumer internet · GCP · Kubernetes
<3 min scaling response (from 15m)
Scope: 18 services moved to Kubernetes
Turning manually created Azure environments into reusable delivery products
Migration & modernisation · Professional & digital services · Azure
1 hour environment provisioning (from 4 days)
Scope: 12 environments standardised
Following one request across dozens of services
Reliability & operations · Multi-tenant SaaS · Multi-cloud
45 min incident investigation (from 3h)
Scope: 180 GB of logs processed daily
Proving recovery instead of assuming backup
Reliability & operations · Business-critical digital services · Multi-cloud
15 min critical RPO (from 24h)
Scope: 30+ recovery runbooks, 98% restore-test success
Read the work. Then diagnose your own platform.
The Reality Check tools run the same judgement on your numbers — two minutes each, in your browser. No signup.