The journey to production AI: A practical guide for platform engineers and SREs

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Give your SRE the help they need

AURA gives teams an operating environment for agents in production.
The context, control, and audit trail to run AI SRE workflows on your terms.
Your models. Your data. Your rules. Your environment.
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The journey to production AI: A practical guide for platform engineers and SREs

Most teams are experimenting with AI agents. Few are running them reliably in production. This session breaks down how to move from first agent to trusted, repeatable workflows with real telemetry, strong context, and control over cost, accuracy, and scale.

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Most teams are experimenting with AI agents. Few are running them reliably in production. This session breaks down how to move from first agent to trusted, repeatable workflows with real telemetry, strong context, and control over cost, accuracy, and scale.

Most teams are experimenting with AI agents. Few are running them reliably in production. This session breaks down how to move from first agent to trusted, repeatable workflows with real telemetry, strong context, and control over cost, accuracy, and scale.

Most teams are experimenting with AI agents. Few are running them reliably in production. This session breaks down how to move from first agent to trusted, repeatable workflows with real telemetry, strong context, and control over cost, accuracy, and scale.