How to build zone-redundant cloud instances and clusters
Blog post from Gremlin
The blog post discusses the importance of availability zone (AZ) redundancy in cloud computing to mitigate the risks associated with datacenter outages. It explains that AZ redundancy involves replicating computing resources across different isolated regions within a cloud provider's infrastructure to prevent service disruptions if one zone fails. Using AWS as an example, the article outlines steps to ensure services are AZ-redundant, including deploying resources across multiple subnets and utilizing tools like load balancers and auto-scaling groups. The post also highlights the role of Gremlin in detecting and addressing single-AZ risks, offering built-in functionality to monitor and test for AZ redundancy. Additionally, it touches on the concept of region redundancy for greater resilience, suggesting tools like Terraform for orchestrating across multiple regions and describing how Gremlin can simulate various failure scenarios to validate redundancy measures. The blog encourages using Gremlin's platform to proactively find and fix availability risks, offering a free trial to explore its capabilities.