Datadog × UNESP

Datadog x UNESP, unified observability across 36 campuses

80% reduction in investigation time

Reactive and blind to proactive and unified visibility

Clarity Efficiency Written narrativeChallenge-Solution-ResultsOther

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Full screenshot of Datadog x UNESP, unified observability across 36 campuses

Why it works

The case study leads with the before-state of blindness: each team saw only part of the environment and users reported problems before IT knew about them, which makes Clarity the right primary tag. The 80% reduction in investigation time is a strong Efficiency signal, but it is framed as a consequence of gaining visibility rather than the headline win. The cAIo natural-language assistant example is concrete and differentiating, showing how new tooling democratized access to observability data across non-specialist teams.

Steal this

The cAIo internal assistant story: showing a customer-built product on top of your platform is a compelling proof point that the platform is a true foundation, not just a point tool.

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 UNESP
Industry Other
Trigger Scaling distributed hybrid environment made partial-view monitoring untenable
Format Written narrative
Structure Challenge-Solution-Results
Medium Web page