High Availability Architecture: Building Systems That Never Go Down
Infrastructure

High Availability Architecture: Building Systems That Never Go Down

High availability architecture ensures your application remains accessible even when individual components fail. This guide covers load balancing, database replication, health checks, and the design patterns that eliminate single points of failure.

Infrastructure Team20 August 202511 min read Share
Table of Contents

What High Availability Actually Means

High availability (HA) is the practice of designing systems that remain operational despite component failures. A 99.99% uptime SLA allows only 52 minutes of downtime per year. Achieving this requires eliminating every single point of failure in your architecture.

The Foundation: Load Balancing

A load balancer distributes incoming traffic across multiple application servers. If one server fails, the load balancer automatically routes traffic to remaining healthy servers. NGINX, HAProxy, and cloud load balancers are common choices.

Database High Availability

Single database servers are dangerous single points of failure. Solutions include: MySQL Group Replication for synchronous replication, PostgreSQL streaming replication with Patroni for automatic failover, and database proxies like ProxySQL that handle connection routing during failovers.

Health Checks and Automatic Failover

Load balancers detect failed servers through health checks — periodic HTTP requests to a health endpoint. Servers failing health checks are automatically removed from the pool. Keepalived provides IP failover for services that cannot use application-level load balancing.

FAQ

How many servers do I need for high availability?

Minimum: 2 application servers behind a load balancer, 2 database servers with replication. The N+1 rule recommends maintaining capacity to handle peak traffic even with one server removed.

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