Creators of the Site Reliability Framework

How reliable are your systems — really?

We don't just monitor uptime. We build and implement resilience frameworks — grounded in evidence — for organisations where trust is a strategic differentiator.

A reliability framework grounded in real incident data

The Site Reliability Framework is grounded on detailed interviews and workshops gathered in the aftermath of 192 real-world production incidents. The dataset spans organisations of all sizes, across cloud providers, financial services, consumer technology, government infrastructure, and more.

Free Report Includes

  • Overall reliability score (A to F)
  • Per-domain maturity scores
  • Gap analysis
  • Industry comparison
  • Estimated annual downtime
  • Downloadable PDF report
Incidents by failure domain %
61.5%104 of 169 incidents

Code

Logic errors, race conditions, and performance bottlenecks introduced during development — the single most common failure domain in the dataset.

49.7%84 of 169 incidents

Configuration

Misapplied environment variables, secrets, and infrastructure settings — config failures run long because they are hard to isolate and diagnose quickly.

45.0%76 of 169 incidents

Dependency

Cascading failures from third-party APIs, libraries, and upstream services — organisations rarely control the blast radius when an external dependency degrades.

41.4%70 of 169 incidents

Deployment

Changes that pass staging but introduce failure in live environments — pointing to missing canary rollouts, insufficient validation, and inadequate rollback capability.

37.9%64 of 169 incidents

Infrastructure

Resource exhaustion, single points of failure, and cloud provider outages.

30.2%51 of 169

Network

DNS failures, routing instability, and connectivity degradation.

30.2%51 of 169

Database

Contention, replication lag, and schema migration failures in data systems.

18.9%32 of 169

Compute

Process resource limits, container isolation failures, and runtime health degradation.

15.4%26 of 169

Storage

Object store durability, volume reliability, and data lifecycle failures.

13.0%22 of 169

Authentication

Identity system failures and access control breakdowns.

Dataset Finding

6.4 hrs

Across 192 incidents the mean outage was 6.4 hours — with a long tail of multi-day failures pulling the average up. Organisations that move from a maturity Level 1 to Level 3 don't just recover faster — they convert global outages into non-events, and maintain significant price premiums over competitors.

Commercial Services

Practical support to keep your systems running — at every stage of the journey.

Reliability Assessment

Configuration Review

Authentication Controls

Deployment Pipeline

Incident Response

Formal Attestation

Through interviews, configuration checks and documentation review, we assess your organisation against the Site Reliability Framework and deliver clear insight. You get a formal attestation letter and an embeddable reliability badge.

Remediation Plan

0%

Infrastructure Hardening

Q4 2026
1
Monitoring Setup0/3
2
Config Hardening0/2
3
Runbook Documentation0/3

Implementation & Remediation

Found gaps in your assessment? We work alongside your team to fix them — whether that's improving your infrastructure, building automated recovery, or tightening monitoring.

Tooling Stack

Configured

Monitoring

Datadog

Grafana

CloudWatch

Alerting

PagerDuty

OpsGenie

Incident Mgmt

Statuspage

Reliability Tooling

We help you choose and set up the right monitoring and incident management tools for your team — no vendor lock-in, no one-size-fits-all stacks.

Designed for pragmatic organisations where Trust is critical.

Simple advice. Proven methods. Backed by evidence.
Technology Agnostic. Industry Agnostic.

Capability Radar

Financial Services

Industry Average

Let's talk reliability

Contact our principal consultants to discuss your specific reliability situation. We aim to respond to inquiries within 4 business hours.

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