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Google Cloud@Alcoa

How Alcoa Runs Reliability Engineering on BigQuery

Alcoa, a materials organization in the United States, uses BigQuery from Google Cloud to support reliability engineering for SRE and operations.

Value results

CategoryValue result
CapabilitySRE and operations work from the same BigQuery record for backup and failover
CapabilityBackup and failover can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for backup and failover

Story

Materials work at Alcoa spans more than one site, even when headquarters sits in the United States. Backup and failover was splitting across regional habits. SRE and operations asked for a shared way to run reliability engineering without freezing local judgment.

Google Cloud (BigQuery) is what they standardized on. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. Alcoa uses it as the system of record for backup and failover, with SRE and operations as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Relationship map

Alcoa uses Google Cloud, PagerDuty, Anthropic, Zscaler, OpenText, Palo Alto Networks, Dropbox, GitLab, Atlassian, Grafana Labs, Hugging Face, OpenAI, Qlik, Wiz. Shared with Airwallex, ASML, Best Buy, Commerzbank, Delivery Hero. Industry: Materials. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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