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Elastic@Johns Hopkins Medicine

Johns Hopkins Medicine Runs Production Support with Elastic

Johns Hopkins Medicine, a health care organization in the United States, uses Kibana from Elastic to support production support for SREs and developers.

Johns Hopkins Medicine folded Kibana into production support so SREs and developers share one view of application health.

“From the United States, health care teams still had to serve customers and internal partners who expected a straight answer.”
“Elastic builds search, observability, and security software on Elasticsearch, used to find information and investigate operational data.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
CapabilityApplication health can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for application health
CapabilityProduction support stays visible to adjacent teams through Kibana

Story

Johns Hopkins Medicine grew application health faster than the local tools around it. From the United States, health care teams still had to serve customers and internal partners who expected a straight answer. SREs and developers were the ones stitching the picture together by hand.

Rolling out Kibana put production support on Elastic. Elastic builds search, observability, and security software on Elasticsearch, used to find information and investigate operational data. Johns Hopkins Medicine keeps the product in the path where work already happens, so SREs and developers do not context-switch into a graveyard system used only for audits.

The visible result is steadier production support. Application health is easier to inspect, and adjacent groups can join SREs and developers without a guided tour of someone's desktop.

Value Graph

Johns Hopkins Medicine uses Elastic, Epic Systems, Smartsheet, New Relic. Shared with ABN AMRO, Accor, Adidas, Airbyte, Allstate. Industry: Health Care. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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