Costs spiked 60%. Errors up. Four tools open. None agree.
Tuesday afternoon: cost graph spikes 60%. Wednesday: error rate climbs. Three deployments, two manual tweaks. Each system tells a different story.
The Situation
Tuesday: you notice your cloud cost graph spike 60%. At the same time, three teams deployed to production. Someone ran a Terraform plan. Someone manually tweaked an instance. Wednesday morning, your error rate is up.
You open Datadog. Error spike confirms. You open Cost Explorer. The spike is real. You open GitHub. Three commits between 2pm and 4pm Tuesday. You open the AWS console. Someone changed a task definition. You run CloudTrail. Someone modified a security group.
Is it the task definition change? The Terraform? The security group? You have 4 data sources, 3 potential causes, zero correlation. The system running tightest margins can't afford guessing.
The Company
Series B ad-tech. 3-5 deployments per day across AWS and Azure. Tight margins. Every dollar in cloud costs matters. Fast-moving teams. Everyone ships independently.
You need to know what changed and why, and you need to know it fast.
With Escher
You ask: "Our costs spiked 60% starting Tuesday. Error rate up Wednesday. What changed?"
- 0-1 min: Escher ingests cost telemetry from Cost Explorer, error rates from Datadog, CloudTrail logs, GitHub commits, Terraform state changes.
- 1-2 min: Correlates the 60% cost spike to 3 independent changes that compound: task definition memory increase, Terraform scaling rule change, and security group modification.
- 2-3 min: Identifies which change caused which cost impact. The task definition change alone = $3,200/month. The Terraform change = $4,000/month. The security group is a red herring.
- 3-4 min: Surfaces revert recommendations. Task definition revert saves $3,200/month alone. Generates Jira ticket with all facts.
product screenshot · replace with actual
The Outcome
Before
2 hours of
investigation
With Escher
4 minutes
exact answer
Real impact: Task definition revert saves $7,200/month alone. You know exactly what broke and how to fix it. Errors tied to the security group are unrelated — you stop chasing that. Spend is back under control.
Try It Yourself
Stop investigating. Start correlating.
Escher connects the dots across all your data.
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