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Seems like multi-cloud solution might be the way to go.
by jmartrican 5y ago
Seems like multi-cloud solution might be the way to go.
- nier 5y agoAll while making sure that these cloud solutions are not inter-dependent and that there are redundant paths to access these services.
- thedougd 5y agoI doubt it. The complexity of multi-cloud will also give you downtime. Most of the folks impacted by cloud outages do not have highly available systems in place. Perhaps, for their business, the cost doesn't justify the outcome. If you need high uptime for instances, build your system to be highly available and leverage the fault domain constructs your provider offers (placement groups, availability zones, regions, load balancing, DNS routing, autoscaling groups, service discovery, etc). For instances, double down and use spot instance and maximum lifetimes in your groups so that you're continuously validating your application can recovery from instance interruptions. If you're heavy on applications that leverage cloud APIs, such as is often the case with labmdas, then strongly consider multi-region active/active as API outages tend to cross AZ's and impact the entire region.
- jmartrican 5y agoAgreed it is hard for those reason you specified. To do it, first I would not use any cloud features that cannot be easily setup in another cloud. So no lambdas. Just k8s clusters, maybe DBs if they can be setup to backup between clouds. I was able to migrate from AWS k8s to DO K8S very easily.... just pointed my k8s configs to the new cluster (plus configuring the DO load balancers). In my case, I need the dynamic DNS (havnt looked into it yet), auto-scaling is already setup with k8s, and the DB backups between DBs (next project).