Infrastructure fails; applications shouldn't. We move resilience up the stack. We design active-active clusters, multi-region cloud deployments, and self-healing systems. This ensures zero downtime even if a server, zone, or component goes offline.
Application-Level HA Design
Architect clustering and load balancing for databases and apps, ensuring seamless redundancy at every layer of the stack for maximum service uptime.
Learn MoreResilient Cloud Architectures
Design multi-AZ and multi-region cloud patterns, utilizing active/active configurations and resilient messaging services to survive regional outages.
Learn MoreResilience Testing & Chaos Engineering
Validate system stability with fault injection and chaos engineering, measuring self-healing capabilities to identify and fix brittle components.
Learn More
Application-Level HA Design
We eliminate single points of failure. We configure SQL AlwaysOn, clustering, and load balancers. We ensure that if one node dies, another takes over instantly. The user experiences no interruption, and the system heals itself automatically.
- Clustering and load balancing for key applications.
- Database HA (AGs, clustering, replication, multi-AZ/region).
- Stateless app design and horizontal scaling patterns.
- Redundancy at every layer (app, DB, session, cache).
Resilient Cloud Architectures
We build for the cloud reality. Cloud zones go down. We design architectures that span Availability Zones and Regions. By using stateless app designs and distributed queues, we ensure your application continues processing requests regardless.
- Multi-AZ, multi-region designs for cloud-native apps.
- Active/active vs active/passive patterns.
- Resilient storage and messaging services (queues, caches).
- Chaos testing / fault injection practices (if you want that level).
Resilient Cloud Architectures
We build for the cloud reality. Cloud zones go down. We design architectures that span Availability Zones and Regions. By using stateless app designs and distributed queues, we ensure your application continues processing requests regardless.
- Multi-AZ, multi-region designs for cloud-native apps.
- Active/active vs active/passive patterns.
- Resilient storage and messaging services (queues, caches).
- Chaos testing / fault injection practices (if you want that level).
Resilience Testing & Chaos Engineering
We break it to fix it. We use chaos engineering principles to inject faults into your system deliberately. We kill servers and sever connections to verify that your automated failover mechanisms actually work, improving reliability over time.
- Planned fault scenarios and automated experiments.
- Validation of failover and self-healing mechanisms.
- Metrics for resilience (MTTR, error budgets).
- Improvement backlog based on findings.
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