Offshore SRE Pods · 24×7 Coverage

Engineer Reliability as a Feature — Not an Afterthought

Dedicated offshore SRE pods that keep your applications available, performant, and cost-efficient. We design SLOs, automate away toil, harden releases, and run 24×7 incident response — while preserving institutional knowledge so teams stay resilient despite attrition.

Build My SRE Pod Explore Capabilities
15 min
P1 Response SLA
30–60%
Fewer Pages
25%
Lower Cloud Spend
Observability & Platform Stack We Support
Why Mirketa for SRE

Reliability Engineering That Goes Beyond Ticket-Taking

Client-Specific Pods

Persistent teams that learn your stack deeply — no shared-queue churn or context-switching between unrelated clients.

Dev + Ops Depth

Senior SREs paired with application engineers to fix root causes, not just symptoms. We go deep into your codebase.

Knowledge Continuity

Playbooks, runbooks, KEDB, and structured shadowing ensure institutional knowledge survives attrition.

Faster MTTR

SLOs, error budgets, progressive delivery, and auto-remediation reduce both incident frequency and blast radius.

Cost-Efficient Scale

Offshore delivery with on-call coverage and elastic surge capacity — expert SRE at a fraction of in-house cost.

What We Deliver

Five Pillars of SRE Excellence

Each pillar is a structured practice area — not just a checklist. We implement, measure, and continuously improve across all five.

SLO-Driven Reliability Strategy

We establish the reliability contract between your engineering teams and your users — defining what "good" looks like and how to measure it objectively.

  • SLIs & SLOs per service — availability, latency, quality, and freshness dimensions
  • Error budget policies — freeze/slow-down rules when budgets are burning fast
  • Reliability scorecards — weekly team-level and monthly executive reporting
  • Burn-rate alerting — multi-window alerts that catch slow burns before they breach SLOs
  • Reliability roadmap — quarterly prioritisation of reliability investments vs feature work
SLO Health — This Quarter
Services with SLOs
24
↑ 8 new this quarter
SLOs Met (30d)
22/24
91.7% compliance
Avg Error Budget
68%
Remaining this month
Burn Rate Alerts
3
↓ 7 vs last month

Unified Observability & 24×7 Incident Response

We instrument your stack with unified telemetry and operate a 24×7 on-call rotation with structured incident management — from alert to post-mortem.

  • OpenTelemetry instrumentation — logs, metrics, and traces in a single pipeline
  • Observability platform — Datadog, Prometheus/Grafana, New Relic, Splunk, or ELK
  • 24×7 on-call rotations — PagerDuty/Opsgenie with clear escalation paths
  • Post-incident reviews — blameless PIRs with action items tracked to completion
Alert Volume — Before vs After SRE
Weekly pages (before)142
Weekly pages (after 6 weeks)58
MTTR before48 min
MTTR after18 min

Release Safety & Toil Reduction

We make deployments boring — safe, automated, and reversible. And we systematically eliminate the manual work that drains your engineers' time.

  • Progressive delivery — blue-green, canary deployments, and feature flags
  • Automatic rollback — SLO-triggered rollback on error budget burn
  • Runbook automation — self-healing actions for known failure modes
  • Golden paths — paved roads for new services to inherit reliability patterns
  • Toil budget — track and drive manual work below agreed thresholds (<10%)
Release Safety Checklist
Canary analysis passing (error rate, latency p99)
Feature flag rollout at 5% → 25% → 100%
Automated smoke tests green
Error budget burn rate normal
Rollback procedure tested and documented
On-call notified and runbook linked

Performance, Scale & FinOps

We ensure your systems scale gracefully under load and that every dollar of cloud spend is justified — with continuous capacity modelling and cost governance.

  • Capacity modelling — predict when you will hit limits before you hit them
  • Autoscaling — Kubernetes HPA/VPA, serverless scaling, and queue-based triggers
  • Load & chaos testing — regular game days to validate resilience assumptions
  • Cache & queue tuning — Redis, Memcached, SQS, Kafka optimisation
  • FinOps dashboards — cost baselines, rightsizing, anomaly detection, unit economics
FinOps Impact
Cloud Spend Reduction
25%
Avg across clients
Rightsized Resources
68%
Of compute fleet
Idle Resources
~0%
Auto-cleanup active
Cost Anomalies
Real-time
Alert within 1h

Resilience, DR & Security Guardrails

We design for failure from the ground up — tested DR runbooks, multi-region patterns, and security guardrails that keep your systems compliant and hardened.

  • Backup & DR drills — regular tested exercises with documented RTO/RPO results
  • Multi-AZ/region patterns — architecture review and implementation guidance
  • Least-privilege IAM — automated policy reviews and drift detection
  • Secrets rotation — automated rotation with zero-downtime key management
  • SBOM & patching — coordinated vulnerability management with your security team
Compliance Coverage
SOC 2 Type II ISO 27001 HIPAA PCI-DSS GDPR CIS Benchmarks NIST CSF FedRAMP Ready
0% Fewer Pages After Alert Hygiene
0% Faster MTTR via Runbooks
0% Lower Cloud Spend
0+ Enterprise Clients
Offshore SRE Pod Model

A Dedicated Team That Learns Your Stack

Each pod is a persistent, client-specific team — not a shared queue. They attend your standups, know your architecture, and own your reliability outcomes.

SRE Lead

Owns SLO governance, client relationship, escalation, and weekly ops review

Required

Platform SRE

Kubernetes, IaC, CI/CD, observability tooling, and infrastructure reliability

Core

Application SRE

Deep application-level debugging, performance profiling, and root-cause analysis

Core

Automation Engineer

Runbook automation, self-healing, golden paths, and toil elimination

Core

Performance / DB Specialist

Query optimisation, cache tuning, load testing, and capacity modelling

Optional

Business Hours

8–10 hour coverage with async handoffs and documented escalation paths

24×7 Coverage

Follow-the-sun on-call rotations with PagerDuty/Opsgenie integration

Cadence

Daily standups · Weekly ops review · Monthly SLO report · Quarterly QBR

Typical Stack We Support

We Adapt to Your Platforms — Not the Other Way Around

No forced rip-and-replace. We integrate with your existing tools and extend them with SRE best practices.

Container Orchestration
Kubernetes (EKS) Kubernetes (GKE) Kubernetes (AKS) ECS / Fargate ACI
Serverless & Compute
AWS Lambda Cloud Run Azure Functions EC2 / GCE / VMs
Observability
Datadog Prometheus Grafana New Relic Splunk ELK Stack OpenTelemetry CloudWatch
CI/CD & IaC
GitHub Actions GitLab CI Azure DevOps CodePipeline Argo CD Terraform Helm Pulumi
Databases & Queues
RDS / Aurora Cloud SQL SQL MI Redis Memcached SQS Pub/Sub Event Hub Kafka
Incident Management
PagerDuty Opsgenie Jira ServiceNow Slack ChatOps
Sample Outcomes

Numbers That Matter to Engineering Leaders

0%
Fewer Pages

After alert hygiene, SLO burn-rate policies, and runbook automation — teams stop being woken up for noise and focus on real incidents.

0%
Faster MTTR

Structured runbooks, auto-remediation for known failure modes, and a trained on-call rotation cut mean time to resolution dramatically.

0%
Lower Cloud Spend

Through rightsizing, autoscaling policy tuning, waste cleanup, and continuous FinOps governance without sacrificing performance.

0
Release Rollback Failures

Progressive delivery with SLO-triggered automatic rollback means bad releases are caught and reversed before users notice.

How We Start

From Zero to Fully Managed in 8 Weeks

A structured onboarding that delivers quick wins early and builds toward long-term reliability excellence.

01

Discover & Baseline

Inventory your services, map dependencies, define SLIs/SLOs, conduct a gap analysis, and build a risk register with prioritised quick wins.

2–3 weeks
02

Stabilize

Alert cleanup, runbook creation, on-call structure setup, release safeguards, and delivery of the first measurable MTTR improvements.

4–6 weeks
03

Optimize

Automation backlog, cost and performance tuning, chaos and DR exercises, and a quarterly reliability roadmap reviewed with leadership.

Ongoing
Client Stories

What Engineering Leaders Say

★★★★★

"Mirketa's SRE pod reduced our weekly pages from 140 to 52 in six weeks. The alert hygiene work alone was worth the entire engagement — our on-call engineers finally sleep through the night."

DK
Brent
★★★★★

"The institutional knowledge problem was our biggest fear with offshore SRE. Mirketa's runbook and KEDB programme means the pod knows our system better than some of our own engineers."

VC
Vikram chandra
★★★★★

"We went from 48-minute MTTR to under 18 minutes in the first month. The SLO dashboards they built give our leadership team real visibility into reliability for the first time."

AM
Arun M.
★★★★★

"Mirketa's FinOps work within the SRE engagement saved us $180K annually. They found rightsizing opportunities we had missed for two years and automated the cleanup."

DP
Drew Powers
Head of Infrastructure, Healthcare
★★★★★

"The co-sourced model was perfect for us. We wanted to build internal SRE capability, not outsource it forever. Mirketa transferred knowledge systematically and we now run a mature SRE practice in-house."

SP
Sarah P.
Engineering Manager, Manufacturing
★★★★★

"Progressive delivery with SLO-triggered rollback was a game-changer. We went from fearing Friday deploys to deploying multiple times per day with confidence."

MC
Michael C.
Principal Engineer, Retail Tech
FAQ

Frequently Asked Questions

Everything you need to know about Mirketa's SRE services and offshore pod model.

SRE applies software engineering principles to operations problems. It defines SLOs, automates toil, designs for failure, and uses error budgets to balance reliability with feature velocity. Unlike traditional ops, SRE treats reliability as a feature that must be engineered, measured, and continuously improved.
Managed cloud focuses on patching and maintenance of infrastructure. SRE engineers reliability at the application and platform level: SLOs, automation, release safety, performance, and chaos engineering to prevent incidents rather than just respond to them. SRE is proactive; managed cloud is largely reactive.
Each pod includes an SRE Lead, platform and application SREs, and an automation/tooling engineer. Optional specialists in performance and database engineering are available. Pods provide business-hours or 24×7 coverage with structured escalation paths.
We maintain comprehensive playbooks, runbooks, a Known Error Database (KEDB), and structured shadowing programmes. Every incident generates a post-mortem that feeds back into the runbook library. This ensures continuity even when individual team members rotate, preserving institutional knowledge within the pod.
Yes. We integrate with your existing observability stack (Datadog, Prometheus, Grafana, New Relic, Splunk, ELK), CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps), and ticketing systems (Jira, ServiceNow, PagerDuty). No forced rip-and-replace — we adapt to your platforms.
We define SLIs and SLOs for availability, latency, quality, and freshness per service, following Google's SRE book methodology. Error budgets are tracked in real time with multi-window burn-rate alerting. Reliability scorecards are delivered to engineering teams weekly and to leadership monthly.
We align to your compliance controls (SOC 2, ISO 27001, HIPAA, PCI-DSS, GDPR), maintain audit evidence, design least-privilege workflows, and coordinate SBOM and patching automations with your security team. All runbooks and access patterns are designed with compliance requirements in mind.
Onboarding follows three phases: Discover & Baseline (2–3 weeks), Stabilize (4–6 weeks), and Optimize (ongoing). Most clients see measurable MTTR improvements and a significant reduction in page volume within the first 6 weeks of the Stabilize phase.
Get Started

Ready to Engineer Reliability Into Your Stack?

Talk to an SRE architect today. We will assess your current reliability posture and show you exactly where to start.

Free Reliability Assessment

SLO gap analysis and top-5 reliability risks at no charge

Quick Wins in Week 1

Alert hygiene and runbook creation deliver immediate MTTR improvement

No Forced Tool Changes

We integrate with your existing observability and CI/CD stack

No Obligation

Detailed findings report with prioritised recommendations — no commitment required

Talk to an SRE Architect

Get your free reliability posture assessment today.

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Build My SRE Pod