You can almost see it happen: the dashboards are alive, the data looks perfect, and then a failover event wipes out your Redash instance before you’ve had your coffee. Redash Zerto exists to make sure that story ends with a shrug, not panic.
Redash, the open-source visualization tool, helps teams query and explore data from nearly any source. Zerto specializes in continuous data protection and disaster recovery, built for replication at the hypervisor level. Pair them and you get analytics that don’t vanish when infrastructure fails. One gathers insights, the other keeps them alive.
When you integrate Redash with Zerto, the logic is simple. Redash stores its metadata and query results in a backend database—usually PostgreSQL—alongside dashboards in persistent storage. Zerto wraps that environment in replication policies that continuously copy state to a recovery site. If one region goes dark, Zerto can restore the entire Redash stack within minutes, dashboards intact and queries ready. It transforms Redash from a single point of insight into a fault-tolerant analytics service.
A good integration workflow starts with defining your replication groups. Treat each Redash component—backend, worker, scheduler—as an application tier, not a VM. Map these to Zerto protection groups so your recovery plan reflects logical dependencies. Then verify identity and permissions with your existing provider, whether Okta, Azure AD, or AWS IAM. This ensures that when Redash spins up from recovery, users authenticate through the same SSO paths. No broken logins, no insecure shortcuts.
Troubleshooting tends to boil down to timing and consistency. If dashboards show stale data, check replication journal intervals. If access policies drift, confirm your OIDC configuration survived the failover. Continuous testing matters. Schedule non-disruptive failover tests monthly, not yearly.