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Coralogix CEO Ariel Assaraf reveals how their observability lake lets companies own their data, reduce costs, and use AI agents to transform monitoring into actionable business intelligence.
Topics Include:
- Coralogix solves observability scaling issues: tool disparity, sprawling costs, limited control.
- Streama parses data pre-ingestion; DataPrime queries directly on customer's own S3 buckets.
- AI will generate massive unstructured data, making observability challenges exponentially worse.
- CTOs should ask: Can observability data drive business decisions beyond just monitoring?
- Observability lake lets you own data in open format versus vendor lock-in.
- OLLI designed as research engine, not another natural language database interface.
- Ask business questions like "What's customer experience today?" instead of technical queries.
- Trading platform unified tools, reduced resolution time 6x, now uses for business intelligence.
- Future: Multiple AI personas, automated investigations, hypothesis-driven alerts without human prompting.
- AWS partnership enables S3 innovation, Bedrock models, and strong co-sell growth motion.
- Data sovereignty solved: customers control their S3, remove access anytime, own encryption.
- Business data experience will match consumer AI tools within two years fundamentally.
Participants:
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
