Datadog × SulAmérica

Datadog x SulAmérica: Unified observability cuts costs and chaos across 2,000 services

45% reduction in allocated capacity (400GB to 240GB)

Manual context-switching across disconnected tools to unified, proactive operations

Efficiency Clarity Written narrativeChallenge-Solution-ResultsHealthcare

Members read free

Unlock the full breakdown

Enter your email to open every case study in the library: the full screenshot, why it works, and the one thing worth stealing. One email unlocks all of them.

Free. No spam. Unsubscribe anytime.

Full screenshot of Datadog x SulAmérica: Unified observability cuts costs and chaos across 2,000 services

Why it works

The case study leads with numbers going down across every key result, making Efficiency the clear primary type, though the before-state of metric blindness across disconnected tools gives it a genuine Clarity undertone. The story earns credibility by pairing concrete cost and capacity reductions with a specific incident narrative, showing the platform working under real pressure. The migration timeline detail (January to March 2025) adds believability without overstating the transformation.

Steal this

The specific incident vignette showing an SRE resolving in minutes what another team had investigated for four hours gives abstract platform claims a concrete, human proof point worth copying.

View the original on datadoghq.com ↗

This is editorial commentary and curation. The case study, screenshot, and all metrics are Datadog's published work; we link to the source and lead with our analysis.

Vendor Datadog
Customer SulAmérica
Industry Healthcare
Trigger Multiple disconnected observability tools could not correlate metrics or support fast enough incident response
Format Written narrative
Structure Challenge-Solution-Results
Medium Web page