In this episode of Pastries with SREs, we dig into why you should keep all of your observability data, even if you don’t need it quite yet. We explore: - Why “unknown unknowns” are a huge risk in observability - The value of full-fidelity data ingestion and enriched logs - How data lakes and object storage help you retain everything cost-effectively - Ways to avoid gaps in observability data that can undermine root cause analysis - How long-term data storage can help with audits and compliance With enriched logs and flexible, cost-effective storage, you can stop worrying about what you might need later and start answering questions with confidence, no matter when they arise. 00:00 – Why unknown unknowns break observability 00:42 – Real customer outage: missing logs = no RCA 01:47 – Ingesting everything without blowing your budget 02:06 – Using object storage + data tiering to cut costs 03:08 – From monitoring to true observability (key difference) 03:33 – Data lakes vs. data mesh (and what actually works) 04:30 – Why enriched logs matter for faster root cause analysis 05:15 – Full-context searchability and eliminating data silos Additional resources: Learn more about Elastic Observability: https://www.elastic.co/observability Start the 14-day trial for free! No credit card required: https://cloud.elastic.co/registration Subscribe to Elastic’s Community YT channel: https://www.youtube.com/c/OfficialElasticCommunity Connect with us on social media: LinkedIn: https://www.linkedin.com/company/elastic-co X: https://twitter.com/elastic Facebook: https://www.facebook.com/elastic.co About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500. #ElasticSearch #ElasticObservability #ElasticSecurity

 192      3