What happens when a batch ingestion platform needs to behave like an operational database?
Paige Elinson shares Datadog's answer with Apache Iceberg at #QConSF 2026.
Read the session abstract: buff.ly/c8l9XjM
@qconferences.com
@qconferences.comWhat happens when a batch ingestion platform needs to behave like an operational database?
Paige Elinson shares Datadog's answer with Apache Iceberg at #QConSF 2026.
Read the session abstract: buff.ly/c8l9XjM
@qconferences.comRun the same security event through the same LLM twice and it may call it malicious, then benign.
Dianhuan Lin shows how to use those flip-flops as a signal at #QConSF.
Read the session abstract: buff.ly/AdsNjE2
@qconferences.comParasail lets agents run LLM performance experiments on the same GPUs that serve customers.
Ben Segal shows the infrastructure behind it at #QConSF.
Read the session abstract: buff.ly/kLrhAol
@qconferences.comLinkedIn runs 500k+ bare-metal machines, 5M pods and 110k+ deploys a week, and developers never touch raw Kubernetes.
Ronak Nathani explains the platform at #QConSF.
Read the session abstract: buff.ly/z7vLhUn
@qconferences.comWrapping an API was not enough. Token economy, tool descriptions, schemas, output formats, and evals all changed whether an agent could reliably use the telemetry it received.
Liz is speaking at QCon San Francisco, Nov 16-18.
@qconferences.comThe pattern is deliberate: managed code at the API layer, user code on the client, and no app touching secrets. Connectors share one consistent /api/... contract designed for agents to read and call.
Sarah Deitke is speaking at QCon San Francisco, Nov 16-18.
@qconferences.comNancy is speaking at QCon San Francisco, Nov 16-18.
@qconferences.comSanjay is speaking at QCon San Francisco, Nov 16-18.