2025 recap: Reflections on building data infrastructure for the AI era

Axiom's data infrastructure, designed for hyperscale enterprises, offers a comprehensive platform for handling machine data, including logs, traces, and metrics, and is particularly adept at managing petabyte-scale ingestion with sub-second query capabilities across vast datasets. In 2025, Axiom advanced its offerings by integrating AI engineering tools that enable teams to confidently develop generative AI products, transitioning from traditional reactive workflows to more proactive, agent-assisted investigation methods. The infrastructure, built from scratch for scalability, features innovations like Haydex for efficient data search and a unified edge architecture for regional deployments, while MetricsDB addresses the need for efficient metric data handling, completing Axiom's observability capabilities. As software development increasingly incorporates AI, Axiom's toolkit supports this evolution with features for telemetry capture and offline evaluations, preparing for a 2026 focus on enhancing AI engineering loops and improving observability with collaborative and AI-assisted console intelligence.

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