Operations | Monitoring | ITSM | DevOps | Cloud

With over 10,000 questions answered and a 99% satisfaction rate in just 90 days, ElasticGPT, our internal generative AI assistant built on Elastic’s Search AI Platform, is transforming how our teams find information, make decisions, and complete day-to-day tasks. Matt Minetola, CIO, explains how ElasticGPT helps employees access company knowledge faster using natural language queries. Learn how we’re using retrieval augmented generation (RAG) and a secure, scalable architecture to deliver trusted, real-time AI experiences across the organization.

Zooplus Platform Engineering Lead Aram Hakobayan shares how Elastic Observability helps manage 3,000+ microservices and 15,000+ logs/sec across their AWS cloud. Learn how Elastic powers their French market, centralizes monitoring, simplifies root cause analysis, and avoids costly vendor migration. Ideal for DevOps, SREs, and cloud architects scaling fast.

Discover how GenAI has accelerated Elastic's customer and support efficiency. Built on Elastic’s Search AI Platform, the Support Assistant delivers self-service in-product customer support and capacity gains within our support function. Julie Rudd, VP of Support at Elastic, shares how it speeds up issue resolution by combining generative AI with Elastic’s deep knowledge base. Hear directly from a support engineer how the Support Assistant streamlines case resolution and helps engineers and customers find answers faster.

In this episode of Pastries with SREs, we tackle an observability debated topic: Do you need a Single Pane of Glass OR is OpenTelemetry a better strategy? We explore: Additional Resources: 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.

In this episode of Pastries with SREs, we dig into Limitless Observability with a sweet side of unified observability strategy. If you're tired of siloed tools, fractured data, and swivel-chair investigations, this one’s for you. We explore: Why are silos still the norm in modern observability? What’s the true cost of inefficiencies across logs, metrics, and traces? How can SREs, IT operations, and dev teams shift to a no-compromise, unified observability model?

Time in Elasticsearch is more than a timestamp; it's a powerful lens. In this 90-second guide, see how Elasticsearch lets you bucket logs by minute, hour, day, or even millisecond. You can zoom out to see patterns or zoom in to investigate exact spikes, all without recalculating.

Overwhelmed by raw data? In this short video, we demonstrate how Elasticsearch utilizes buckets to group and organize data by time, value, region, or any other shared trait. Whether you're tracking error codes or hourly sales trends, buckets and nested aggregations help turn chaos into clarity. Additionally, discover how time-based bucketing enables you to spot patterns and zoom in on valuable insights quickly.

In under 2 minutes, we explain what vector embeddings are, how they work, and how to use them in real-world applications like text expansion. We'll also show how Elasticsearch supports vector search with two powerful models: E5, open-source text embedding models designed for multilingual search, and ELSER, a sparse embeddings model from Elastic.

Most people think search is only about finding results, but Elasticsearch delivers much more. In this quick guide, discover the difference between hits (the documents that match your query) and aggregations (the analytics that reveal patterns, counts, and trends beyond the results page).