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IBM@Niantic

IBM Supports Reliability Engineering at Niantic

Niantic, a communication services organization in the United States, uses IBM watsonx from IBM to support reliability engineering for SRE and operations.

In the United States, Niantic relies on IBM for reliability engineering.

“From the United States, communication services teams still had to serve customers and internal partners who expected a straight answer.”
“IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
CapabilityReliability engineering stays visible to adjacent teams through IBM watsonx
CapabilitySRE and operations work from the same IBM watsonx record for backup and failover
CapabilityBackup and failover can be reviewed without waiting on a personal export

Story

Niantic grew backup and failover faster than the local tools around it. From the United States, communication services teams still had to serve customers and internal partners who expected a straight answer. SRE and operations were the ones stitching the picture together by hand.

Rolling out IBM watsonx put reliability engineering on IBM. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. Niantic keeps the product in the path where work already happens, so SRE and operations do not context-switch into a graveyard system used only for audits.

The visible result is steadier reliability engineering. Backup and failover is easier to inspect, and adjacent groups can join SRE and operations without a guided tour of someone's desktop.

Value Graph

Niantic uses IBM, Databricks, Elastic, New Relic, Fortinet, SAS, Unity, Microsoft Azure, Netskope, SAP, Oracle, Zendesk. Shared with ABB, ETAS, Flowpay, Hellmann Worldwide Logistics, Infosys Finnacle. Industry: Communication Services. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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