How reliable is your production environment — really?
Moving beyond basic uptime. We curate deep reliability architectures for organizations where failure isn't just an alert—it's an existential risk.
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
Governance
Change control, risk oversight, and the policies governing how production changes are approved and reviewed.
Personnel
On-call capability, training, and the human knowledge required to diagnose and resolve production failures.
Incident Management
The structures, runbooks, and coordination processes that determine how quickly production is restored once detection and mitigations have failed to prevent an incident.
Configuration
Misapplied environment variables, secrets, and infrastructure settings — responsible for a third of all captured downtime despite representing only 4% of incidents. Config failures run long because they are often hard to diagnose.
Code
Logic errors and performance bottlenecks introduced during development — accounting for nearly 20% of total downtime across 26 incidents in the dataset.
Infrastructure
The most frequent failure category by incident count — 52 of 192 incidents — spanning resource exhaustion, single points of failure, and cloud platform outages.
Deployment
Changes that pass staging but introduce failure in live environments — 34 incidents averaging 396 minutes each, making deployment one of the most consistently damaging failure modes.
Authentication
Access control failures and identity system outages — serious when they occur.
Network
DNS failures, load balancer saturation, and connectivity degradation.
Dependency
Cascading outages from external APIs, libraries, or upstream service instability.
Database & Storage
Capacity, contention, replication, and recovery failures in data systems.
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.
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.
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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.
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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.
Learn moreArchitected for Zero-Tolerance Environments
We don't just solve technical problems; we solve business continuity problems in highly regulated sectors.
Financial Services
Meeting strict banking-grade uptime and audit requirements.
Government
Securing mission-critical infrastructure with high-compliance standards.
Enterprise SaaS
Protecting global revenue streams for B2B platforms.
Let's talk reliability
Contact our principal consultants to discuss your specific infrastructure challenges. We respond to serious inquiries within 4 business hours.