High availability patterns for AWS IoT Greengrass using Pacemaker

This article explains how to implement high availability for AWS IoT Greengrass deployments using Pacemaker cluster management with automated failover capabilities.

• Active/Passive pattern: Zero data loss failover using DRBD block-level replication
• Active/Active pattern: Horizontal scaling with independent Greengrass instances and load balancing
• Pacemaker provides cluster resource management, health monitoring, and sophisticated failure handling
• Active/Passive ideal for mission-critical applications requiring data consistency and device identity preservation
• Active/Active suited for high-throughput workloads with independent nodes and graceful degradation
• Complete implementation available via GitHub repository with Ansible automation and testing procedures
• Setup includes environment configuration, cluster secrets encryption, Greengrass credentials, and failover validation

The solution enables enterprise-grade high availability for edge computing in industrial IoT, real-time analytics, and edge AI workloads with sub-minute failover times.