Retail And Ecommerce  - OpsTree Global
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Retail and Ecommerce 

Retail and Ecommerce

Engineering built for
sale-day scale.

80% reduction in deployment time. 40% infra cost saving. 445+ microservices delivered with confidence — on the platforms behind India's largest retail brands.

Talk to our retail engineering team → Read the Lenskart DevSecOps modernisation case study
Cloud FinOps
40%
Cloud cost reduction, sustained
Reliability
Zero
Downtime across UPI & FastTag
Uptime SLA
99.99%
Infrastructure uptime, resilience-proven
Credit Risk
6%→1.5%
NPAs slashed via real-time pipelines
The State of BFSI Engineering

The state of retail and ecommerce engineering.

Retail engineering today is a margins game played at scale. Sale days like Big Billion Days, EOSS and White Friday turn revenue on milliseconds of latency. Composable commerce, headless storefronts and AI-driven personalisation mean release frequency is up — but so is cloud spend, the risk surface and the cost of a single bad deploy. 

Most retail engineering organisations are trying to hold three things together at once: peak-day reliability, microservices governance across hundreds of services, and a cloud bill that keeps creeping up faster than GMV. 

OpsTree is the engineering partner behind Lenskart, Nykaa, Noon, Solv, DealShare and others. We have lived peak sale events. We know what breaks and what to harden well before the campaign goes live.

 

 

Where Transformation Stalls

Four industry-specific pain points.

Sale-day reliability
Traffic spikes 10x in minutes. Autoscaling, dependency mapping and load-tested fallback paths separate revenue capture from lost carts.
Microservices sprawl
Hundreds of services across teams. Inconsistent pipelines, untracked dependencies and CI/CD drift slow every release and amplify blast radius.
Cloud cost spikes
Over-provisioned compute, inefficient autoscaling and zombie resources turn a healthy cloud bill into a board-level conversation overnight.
Time to new markets and storefronts
Launching in a new country, region or storefront takes months when environments, observability and security are built from scratch each time
How OpsTree Delivers for BFSI

Six outcome-led capability pillars.

01
Sale-day SRE
Capacity modelling, peak-load testing, blue-green deployment patterns and 24/7 NOC support battle-tested across India's largest sale events
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02
Microservices delivery with BuildPiper
Standardised pipelines for hundreds of services. Self-service environment provisioning, JIRA-Ops integration and 4x faster deployments.
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03
FinOps and Graviton migration
AWS Graviton, ARM, Karpenter-based autoscaling, instance rightsizing and storage optimisation — typical savings of 30–50% on retail cloud spend.
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04
Real-time data for recommendations and fraud
Modern data stacks on BigQuery, Redshift and Druid that power personalisation, address-level fraud detection and live merchandising
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05
Multi-cloud and region modernisation
Azure-to-GCP, on-prem-to-cloud, region migrations and DR strategies executed in weeks, not quarters
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06
Real-time observability with REMS
AI-driven log filtering, SLO monitoring and automated incident workflows across funnel-critical services
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Lenskart (leading eyewear retail platform)

40% infrastructure cost reduction with BuildPiper

445+ microservices onboarded on 183 instances
70% of instances migrated seamlessly to AWS Graviton
80% reduction in deployment time and costs
50+ custom CI/CD pipelines for product teams
Stack: Stack: AWS EKS Graviton BuildPiper JIRA Ops
Read Case Study→
Nykaa (India's largest cosmetic ecommerce)

Performance and reliability for peak sale hours

SOC-powered security for peak user volume
Automated remediation and 360° visibility across services
Seamless scaling and high availability for peak sale hours
Real-time dashboards for new services via automation
Stack: Stack: Cloud-native stack custom automation
Read Case Study→
Noon (Middle East ecommerce giant)

80% data center cost reduction, Azure — GCP in 8 weeks

Entire infra migrated from Azure to GCP in just 2 months
Upgraded to AZ module from Azure RM pipelines in 15 days
Automated rollback mechanism with blue/green deployments
Minimised downtime through phased cutover
Stack: Stack: GCP Terraform blue/green CI/CD
Read Case Study→
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Platforms and Accelerators for BFSI

Built in-house.
Deployed in production.

Vertical-specific application of our three platforms — not a generic product blurb.

⟨/⟩ BuildPiper
The microservices delivery for retail

The microservices delivery backbone for retail at scale — proven across Lenskart's 445+ services and Solv's audit-ready DevSecOps in just 4 weeks.

↗ Lenskart's 445+ services and Solv's audit-ready DevSecOps in just 4 weeks.
◎ REMS
AI observability for sale events.

AI observability for sale events. Unified telemetry, automated alert correlation and SLO-driven incident workflows across hundreds of microservices.

↗ SLO-driven incident workflows across hundreds of microservices.
◈ SRE in a Box
Automated Kubernetes,SpendSmart,FinOps

Kubelift for automated Kubernetes upgrades during sale-prep windows, SpendSmart for retail FinOps, Sentryfuse for security scanning before peak.

↗ security scanning before peak.
Why BFSI Leaders Choose OpsTree

Four differentiators.

Sale-day battle-tested
Engineering behind India's biggest sale events. We know what breaks at 10x traffic — and have hardened it before
End-to-end DevOps + Data + AI
One partner for delivery, observability, data engineering and personalisation infrastructure
Cost-conscious by default
FinOps and Graviton expertise that consistently delivers 30–50% savings on retail cloud spend.
Open-source first
No vendor lock-in. Your platforms remain portable and your data sovereign
Ready to engineer your next-generation BFSI platform?

Tell us about the platform. We will tell you what good looks like — with proof, not pitches.

Talk to our BFSI engineering team
Tell us where you're starting from — an engineer will follow up within one business day.
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