What is Site Reliability Engineering?
Site reliability engineering is the practice of running production systems by the numbers. Instead of arguing about whether the platform "feels stable", an SRE team defines how reliable each service must be, instruments it so the truth is visible in real time, and then spends engineering effort on the automation that prevents incidents rather than the manual work that merely survives them.
In practice that means four things: service level objectives that describe reliability in terms your users would recognise, observability that explains why something broke rather than just alerting that it did, a disciplined incident practice that gets the right engineer onto the problem quickly, and a steady programme of removing repetitive operational work. Done well, outages get rarer, recovery gets faster, and releases stop requiring a maintenance window.
Why SRE Matters for Indian Businesses
Indian digital businesses run at a scale and a tempo that punishes fragile infrastructure. UPI has normalised instant, always-on transactions; sale events compress a quarter of revenue into 48 hours; and regulators now expect incident reporting measured in hours, not weeks. Reliability stopped being an engineering preference and became a commercial and compliance requirement.
Uptime that survives sale-day traffic
Capacity plans built from your real traffic calendar — festive sales, paydays, campaign spikes — so peaks are absorbed without permanently over-provisioning for them.
Evidence regulators actually ask for
CERT-In expects incident reporting within six hours and log retention Indian auditors can query. We build that evidence trail into normal operations instead of assembling it under pressure.
Cloud spend that tracks real demand
Right-sizing, scheduling and autoscaling policies tuned to Indian traffic patterns, so the platform holds at peak without carrying peak-sized bills through quiet months.
Senior on-call without the hiring race
A sustainable 24×7 rotation needs five to six senior engineers. We provide that coverage as a service, in a market where experienced SREs are scarce and expensive to retain.
Find out where your platform breaks — before your users do
Get an SRE assessment of your ap-south-1 workloads: SLO readiness, observability gaps, on-call maturity and the cost of your current failure modes.
Book an SRE AssessmentWhat Our SRE Services Include
SLOs, SLIs & error budgets
We map your critical user journeys — onboarding, UPI collection, checkout, KYC — and define the service level indicators that reflect whether those journeys actually work. SLOs get set against them, error budgets govern release pace, and reliability becomes a number your product and engineering leads can plan against instead of a debate after every incident.
Observability: Prometheus, Grafana, New Relic
Metrics, logs and traces unified into dashboards your engineers actually open. We build on Prometheus, Grafana and OpenTelemetry, or work natively in New Relic and Datadog where you already have investment — with log retention configured for the windows Indian auditors expect. Our monitoring and observability services cover the reference architecture in depth.
Incident response & 24×7 on-call
A disciplined incident practice: severity definitions everyone understands, escalation paths that reach a human at 3am IST, and blameless postmortems that close the loop with a fix rather than a note. Our 24×7 DevOps support desk can own the pager end to end, or share it with your engineers through Indian nights and public holidays.
Kubernetes & infrastructure reliability
Production-grade EKS and self-managed Kubernetes on ap-south-1: multi-AZ topologies, pod disruption budgets, sensible autoscaling, and chaos-tested failure handling. For workloads that need a second region, we design in-country DR to ap-south-2 with rehearsed RTO and RPO targets rather than a runbook nobody has tried.
Toil reduction & automation
We systematically retire the manual work that consumes your team — certificate renewals, patch cycles, environment rebuilds, access requests, deployment babysitting — using Terraform, GitOps workflows and event-driven remediation. Every automated task is an hour a week returned to engineering and one fewer opportunity for human error at 2am.
Capacity planning & cost efficiency
Forecasting built on your real commercial calendar, then translated into autoscaling policies, load tests and right-sizing decisions. The platform holds through sale events and quarter-end batch runs without carrying that capacity — or that bill — for the remaining ten months of the year.
