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Datadog@Toast

Toast Runs Production Support with Datadog

Toast, an information technology organization in the United States, uses Bits AI from Datadog to support production support for SREs and developers.

Toast asked for a cleaner operating picture of application health. Datadog is what they run.

“In the United States, SREs and developers already knew where application health went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Datadog is an observability platform that unifies metrics, traces, logs, and security signals for cloud applications.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
CapabilityProduction support stays visible to adjacent teams through Bits AI
CapabilitySREs and developers work from the same Bits AI record for application health
CapabilityApplication health can be reviewed without waiting on a personal export

Story

Toast did not need another dashboard that nobody opened. It needed production support to move. In the United States, SREs and developers already knew where application health went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.

Bits AI from Datadog is now in that path. Datadog is an observability platform that unifies metrics, traces, logs, and security signals for cloud applications. The company treats it as production tooling for production support, which is why SREs and developers live in it rather than exporting from it once a quarter.

Toast can show how application health is handled today. That is the value: a repeatable way to run production support on software the rest of the industry already recognizes.

Value Graph

Toast uses Datadog, Atlassian, Microsoft Azure, Smartsheet, IBM, New Relic, Twilio, F5, Adobe, Snowflake, Zendesk. Shared with 1Password, Ahold Delhaize, Airbyte, Apollo Global Management, Applied Materials. Industry: Information Technology. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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