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

40%

Cloud cost reduction, sustained

Zero

Downtime across UPI & FastTag

99.99%

Infrastructure uptime, resilience-proven

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.

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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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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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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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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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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Real-time observability with REMS

AI-driven log filtering, SLO monitoring and automated incident workflows across funnel-critical services

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RETAIL & ECOMMERCE

Delivering 24/7 Uninterrupted User Experience and Efficient Scaling

24/7 platform stability achieved for a high-GMV eCommerce unicorn

Alert noise significantly reduced through observability optimisation

Elastic scaling infrastructure handling peak sale traffic without degradation

Real-time visibility established across all platform services and customer journeys

Stack: Prometheus Grafana Kubernetes AWS Elasticsearch

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RETAIL & ECOMMERCE

Empowering a High-Growth E-Commerce Platform with a Modern Data Stack

Legacy Redshift ecosystem replaced with a modern, scalable data architecture

Automated, fault-tolerant pipelines enabling reliable real-time business intelligence

Data governance and quality frameworks strengthened across the entire platform

Analytics made a trusted decision-making input across all commercial functions

Stack: AWS Redshift Apache Airflow Glue S3 BI Tooling

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RETAIL & ECOMMERCE

Reliable Deployments at Scale Along With 70–80% Cost Savings in Cloud Migration

70–80% reduction in operational costs through cloud migration from Azure to GCP

Zero-downtime migration executed for a live commerce and payments platform

Reliable, at-scale deployment practices established post-migration

Platform future-proofed with a cost-efficient cloud foundation for growth

Stack: GCP Azure Kubernetes Terraform CI/CD

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

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◎ REMS

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

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◈ SRE in a Box

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

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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 move from pilot to production?

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

Start your transformation

Tell us where you're starting from — an engineer will follow up within one business day.

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Retail and Ecommerce