Watch it,
and survive it.

Metrics without an ingestion pipeline

Requests, error rates, latency percentiles, CPU and memory come from Azure Monitor and CloudWatch on demand, cached briefly and rendered in one dashboard. Your observability data never leaves your account, and you are not billed twice for it.

• 1h, 24h and 7dThe ranges that answer “is it happening now” and “has it been happening”.
• Alert rulesThreshold rules on any series, routed to Slack or email.
• Runtime logsTail any service in the browser, across both providers.

Failover you have actually rehearsed

A protected environment keeps a warm standby in a second region, or a second cloud entirely. When probes stop answering, the standby is promoted and DNS cuts over, typically inside ninety seconds. Drills run the same path on purpose so you find out before an incident does.

• Cross-cloud standbysAzure primary, AWS standby, if that is the risk you are hedging.
• A real state machineProvisioning, protected, failing over, failed over, failing back.
• Scheduled drillsProve the path works, on a cadence, with a report.

Say it before they ask

A public status page, an incident workspace, and updates drafted from the real signals. The composer shows exactly which internal details it removed before anything is published, so an honest update never becomes an accidental disclosure.

Cost, from your own bill

Deploy-time estimates before you commit, and month-to-date spend after, broken down by service and provider. Lakefront adds no markup because Lakefront never touches the transaction.