Hey everyone! I'm gearing up to implement a multi-region high availability setup with Google Kubernetes Engine (GKE) for a critical app we're running—specifically, an Identity Platform. I'm new to this kind of setup, so I could really use some insights. I came across liqo.io recently, but I'm also aware that Google provides options like Fleet and the Multi-Cluster Load Balancer. I'm looking for any tips or personal experiences regarding best practices for achieving multi-region setups. Thanks a bunch!
3 Answers
I might be a bit biased, but that’s part of why GKE Fleet was created—to handle multi-cluster HA. You’ll also want to consider where your data state will reside, how it syncs across regions, what consistency model you’ll use, and how to ensure disaster recovery.
Have you considered using a managed identity platform instead of building your own? They tend to have better uptime, though they can go down occasionally. Just something to think about!
Are you going for multi-region just for HA, or are you also looking to cut down on latency? If it's the latter, a global load balancer with solid health checks should help. Just keep in mind that database replication between regions can be tricky depending on your technology stack.
We're leaning towards open-source solutions to avoid vendor lock-in. It's not set in stone yet—we're still looking into options.