ClimsTech

Senior-led cloud & DevOps engineering

Cloud platforms that hold under load.

A focused, senior-led Cloud & DevOps engineering team offering direct access to the engineers accountable for delivery.

120K concurrent-user load-test scenario validated

Workload separation, calibrated autoscaling and latency controls.

Selected organisations our engineers have supported

Across direct and partner-led engineering engagements.

ANS Commerce
Lifease Solutions
Vansun
Neepanlok
91Wheels
CricRadio
GIZNEXT
Axelerant
Quarks
Apisero
Gracile
GirnarSoft
LinkageIT
CodersBrain
Invarsys

Platforms we engineer on

Cloud platforms

AWSMicrosoft AzureGoogle Cloud

Platform engineering

KubernetesTerraformDocker

Delivery & operations

JenkinsJenkinsPrometheusPrometheusGrafanaGrafana

Run a two-minute reality check.

Free, directional instruments — no signup, nothing leaves your browser.

Use a representative p95 over 14–30 days, peaks included.

Directional read

≈2 nodes of conservative headroom

Requests are pinning ~35% more capacity than the workload uses. The real number is conditional on placement, DaemonSets, AZ spread, disruption budgets and autoscaling lag — but the gap is worth a look.

How we govern Kubernetes capacity

Recommended next step

Cloud Cost & FinOps Audit

~2 weeks · fixed fee

Cost baseline + prioritised savings roadmap you own

Book this review

Confidence: directional — computed only from what you enter, entirely in your browser. Not an audit.

Success stories

Real engagements, owner-verified outcomes — clients named where we have permission.

CricRadio

Load-test evidence

Built for traffic that does not arrive gradually

120,000+

concurrent-user load-test capacity

System
Real-time sports platform — AWS · Kubernetes · Redis · MongoDB
What was breaking
Fixed capacity and direct DB reads; latency rose at match peaks
The engineering
Workload separation, Redis cache layer, autoscaling calibrated via staged load tests
What held
p95 stable through surges · 99.97% peak-event availability
Read the full engagement

E-commerce technology

Production result

Preparing a commerce platform for four times normal transaction volume

4.2×

normal transaction volume supported

System
Commerce platform — GCP · AWS · Kubernetes · multi-cloud
What was breaking
Peak-season demand outgrew infrastructure, rollback and observability
The engineering
Re-architected deployment, observability, rollback and capacity testing
What held
99.98% seasonal availability at 4.2× normal volume
Read the full engagement

B2B SaaS

Production result

Reducing cloud expenditure without reducing operational confidence

31%

lower monthly cloud spend

System
B2B SaaS estate — Azure
What was breaking
Spend rising faster than usage; no allocation or ownership
The engineering
Utilisation analysis, rightsizing, scheduling, commitments, tagging, governance
What held
Performance held while monthly spend fell 31%
Read the full engagement

See the verified work

Flagship engagement · ANS Commerce

The problem
Fragmented three-cloud estate; VM-heavy workloads and manual change slowing delivery and driving cost
The engineering
Terraform foundations, CI/CD on Jenkins, EC2 → GKE re-platforming, cost governance
The outcome
~30% lower cost in the verified scope, on one governed platform
Read the full engagement
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.
Sushant Puri

Sushant Puri

Co-Founder, ANS Commerce (Flipkart group)

ClimsTech impressed us with their technical expertise, responsiveness and strong sense of ownership. Their team delivered practical, reliable solutions while working closely with our team — a dependable Cloud and DevOps partner.
Vivek Garg

Vivek Garg

CEO, Lifease Solutions

Cloud & DevOps partnership

ClimsTech helped us improve visibility and control across our infrastructure through stronger monitoring and operational practices — methodical, accessible and focused on issues before they reached the business.
Sanjay Singh

Sanjay Singh

CTO, Vansun Mediatech

Monitoring & operational reliability

What we valued most was their ability to translate technical complexity into practical solutions — they understood the requirement, weighed the options and recommended an approach realistic for our technology and our business.
Pankaj Sisodiya

Pankaj Sisodiya

Director & CEO, Neepanlok Infotech

Cloud architecture & advisory

Pressure-test your architecture with a senior engineer.

No sales presentation. Bring an architecture, scaling or delivery problem.

Architecture Stress-Test — sample output

Illustrative

ingressapiworkersdbqueue

Priority findings

  • HIGHShared node pool — noisy-neighbour risk under peak load
  • MEDSingle-AZ dependency in the stateful tier
  • MEDRequests over-reserved versus observed usage

Recommended sequence

  1. 1Separate workloads
  2. 2Calibrate autoscaling
  3. 3Add HA / N+1