Scale & Optimize
Distributed & Resilient Systems
Things fail. Servers crash. Networks partition. Data centers go offline. We design systems that keep running when components fail. High availability is not luck. It is engineering.
Core Principles
Building for Failure
Resilient systems assume things will fail and plan accordingly. Every design decision considers what happens when something breaks.
Redundancy
No single points of failure. Every critical component has a backup that can take over automatically.
Isolation
Failures stay contained. One component crashing should not take down the entire system.
Fast Recovery
When things fail, they recover quickly. Automatic restarts, health checks, and failover mechanisms.
Graceful Degradation
When under stress, shed non-critical load. Keep core functionality running even if some features are unavailable.
Observability
You cannot fix what you cannot see. Comprehensive logging, metrics, and tracing across all components.
Chaos Testing
Test failures before they happen in production. Break things intentionally to find weaknesses.
What We Build
Resilience Patterns
Proven patterns for building systems that stay up when things go down.
Multi-Region Deployment
Deploy across multiple geographic regions. If one region goes down, traffic routes to another automatically. Lower latency for global users.
- Active-active or active-passive
- DNS-based failover
- Data replication strategies
Load Balancing
Distribute traffic across multiple instances. Health checks remove unhealthy servers from rotation. Scale horizontally as needed.
- Application and network LBs
- Sticky sessions when needed
- Auto scaling groups
Database Resilience
Multi-AZ deployments. Read replicas. Automated backups with point-in-time recovery. Your data survives even catastrophic failures.
- Automated failover
- Cross-region replication
- Backup verification
Circuit Breakers
Prevent cascade failures. When a dependency fails, stop calling it. Return cached data or graceful errors instead of hanging.
- Timeout configuration
- Retry with backoff
- Fallback responses
Need a System That Stays Up?
Let us help you design and build infrastructure that handles failures gracefully.
Start Your Project