Stability & Reliability Model

Forged Codes and Grip are engineered for maximum availability and resilience. We measure our success not just in features shipped, but in uninterrupted service during your most critical moments.

Reliability Metrics

99.99%
Uptime SLA
↑ Industry average
> 730 hrs
Mean Time Between Failures
↑ Industry average
< 30 min
Recovery Time Objective
↑ Industry average
< 5 min
Recovery Point Objective
↑ Industry average

Architecture Resilience

Global Load Balancing

Intelligent traffic routing across regions

Technologies
Cloudflare Load BalancerHealth ChecksGeoDNS
Security Controls
  • Active-active multi-region deployment
  • Automatic failover (30-second detection)
  • Circuit breakers on degraded dependencies
  • Graceful degradation strategies

Application Tier

Stateless services with horizontal scaling

Technologies
KubernetesNode.jsServerless Functions
Security Controls
  • Auto-scaling based on CPU/memory/queue depth
  • Pod anti-affinity for zone distribution
  • Health checks (liveness & readiness probes)
  • Blue-green deployments with instant rollback

Data Tier

Highly available persistent storage

Technologies
PostgreSQLRedis ClusterS3 Cross-Region
Security Controls
  • Multi-AZ database replication (synchronous)
  • Automated failover with Patroni
  • Read replicas across 3 availability zones
  • Point-in-time recovery to any second (7 days)

Queue & Eventing

Resilient asynchronous processing

Technologies
Apache KafkaRedis StreamsSQS
Security Controls
  • At-least-once delivery guarantees
  • Dead letter queues for poison messages
  • Message replay capability (7-day retention)
  • Backpressure handling and flow control

Resilience Patterns

Chaos Engineering

In Progress
Weekly automated chaos experiments using Gremlin. We intentionally inject failures to validate our resilience: killing random nodes, introducing network latency (100ms-2s), simulating zone outages, and triggering dependency failures. Current measured uptime: 99.97% over 12 months.

Disaster Recovery

Implemented
Comprehensive DR strategy with cross-region replication (US-East ↔ EU-West). Encrypted snapshots every 5 minutes with 30-day retention. Quarterly full-environment failover drills with complete documentation. RPO < 5 minutes, RTO < 30 minutes for critical services.

Capacity Management

Implemented
Proactive capacity planning with 3x headroom for traffic spikes. Load testing performed monthly using k6 (simulating 100k concurrent users). Auto-scaling triggers at 70% resource utilization. Historical growth trending with quarterly capacity review.

Dependency Resilience

In Progress
Multi-provider strategy for critical dependencies (PostgreSQL on AWS RDS + self-managed, Cloudflare + Fastly CDN). Circuit breakers and fallback mechanisms for all external API calls. Feature flags (LaunchDarkly) for instant capability disablement during incidents.

Monitoring & Observability

Cascading Failures

Likelihood: lowImpact: high
Mitigation: Bulkheads, circuit breakers, exponential backoff with jitter, and automatic service isolation. Dependency health scores trigger preemptive traffic shifting.

Slow Performance Degradation

Likelihood: mediumImpact: medium
Mitigation: SLO-based alerting (p95 latency, error rates, saturation). Continuous profiling (Pyroscope), distributed tracing (Jaeger), and automated performance regression detection.

Data Corruption

Likelihood: lowImpact: high
Mitigation: Immutable audit logs, row-level checksums, background data validation jobs, and automated repair from replicas. Versioned schema migrations with rollback capability.

SLAs & Guarantees

Uptime SLA: 99.99%
Monthly uptime percentage excluding scheduled maintenance
Support Response: < 15 min
P1 incidents (complete outage) - 24/7 coverage
Data Durability
99.999999999% (11 nines) annual object durability
Backup Recovery
RPO < 5 min, RTO < 30 min for critical tier

Incident Management

24/7 On-Call Rotation

Implemented
Three-tier on-call rotation (L1/L2/L3) with 8-hour shifts. Primary + secondary coverage for all critical services. Escalation policies ensure incidents reach engineering leadership within 30 minutes if unresolved. Post-incident reviews with action items tracked to completion.

Automated Remediation

In Progress
Runbook automation for common failure scenarios: auto-restart hung services, scale-up on sustained load, failover databases, clear poisoned caches, and rotate compromised certificates. 60% of P3 incidents resolved without human intervention.

Performance SLAs

p95: < 100ms
API Response Time
p99: < 500ms
API Response Time
< 0.1%
Error Rate Target
95%
Deploy Success Rate

Testing Philosophy

Resilience Testing

Implemented
Property-based testing (fast-check), contract testing (Pact), and chaos experiments. Game days quarterly where we simulate region failures, dependency outages, and traffic spikes. All critical paths have automated resilience verification in CI/CD.

Our Reliability Commitment

We guarantee measurable, auditable reliability. Not just “high availability”—but proven availability with transparent metrics, accountable SLAs, and engineering practices that prioritize resilience over features when necessary.

“It's not enough to build systems that work. We build systems that work when everything else fails.” — Forged Codes Engineering Manifesto

Current Reliability Score: 99.97% (12-month rolling average)

Last Major Outage: March 2024 (14 minutes) — Post-mortem

Next Game Day: August 2025

Questions?: reliability@forged.codes