At a high-growth SaaS company, a new feature rollout turned into a war room crisis.
Engineers scrambled to pinpoint why staging broke. The culprit? A cloud IAM policy update no one tracked—and no one approved. What started as a simple config turned into days of finger-pointing, delays, and lost trust.
When governance is seen as a checkbox, things fall apart quickly. Yet most teams still treat cloud governance like it's just for compliance—not as a growth enabler. That misconception slows velocity, burns out DevOps, and creates budget wars.
Without the Right Outage Visibility Layer, Even the Best Monitoring Tools Fall Short
Alert fatigue cripples triage
When every microservice, database, and load balancer starts screaming at once, the signal is buried under noise. Teams spend precious minutes just deciding where to look.
Too many tools, not enough clarity
Monitoring dashboards show metrics. Logs show events. Traces show paths. But none of them explain how a rollback in IAM took down your front-end API. Context is missing.
Architectural blind spots extend MTTR
Most tools don't visualize service relationships in real-time. When the root cause is a config drift or a service dependency, engineers are left navigating a maze in the dark.
That's exactly why this company turned to Cloudshot.
Not as another tool—but as the visual layer that tied everything together.
A real-time map of cloud architecture
Cloudshot visualized every service, link, and config live—across AWS, Azure, and GCP. They could see which part failed, and who or what it affected downstream.
Auto-detection of drift and misconfigs
A rollback in IAM policy was caught immediately—because Cloudshot compared live infra to its last known state. No detective work required.
A single source of clarity during chaos
Engineers, SREs, and even leadership all used the same map. No war rooms. Just fast, visual alignment that cut their MTTR by 55%.
The next outage is coming. It's not a question of if—but when.
And when it hits, will you have clarity—or just alerts?