Elastic Observability announces connectivity to AWS Bedrock for AI Assistant. Other enhancements include contextual awareness of the entry point into the AI Assistant and tech preview of editing and visualizing ES|QL queries from the AI Assistant.

Elastic Observability announces the general availability for SLO and Mobile APM and introduces a knowledge base for the AI Assistant.

Empower your SRE team with this guide to enriching Elastic's AI Assistant Knowledge Base with your organization's internal observability information for enhanced alert remediation and incident management.

Elastic Observability introduces ES|QL for Observability, Universal Profiling and Elastic APM integration, and new SLO enhancements for Elastic Observability.

Elastic Observability 8.10 introduces the general availability release of Elastic Universal Profiling™ and enhancements to the Elastic AI Assistant for Observability.

Elastic Observability 8.9 introduces new AI Assistants for APM, logs, hosts, alerts, and profiling. In addition, new Time Series Data Stream (TSDS)-ready Elastic Agent integrations unlock storage efficiencies optimizing storage cost by up to 70%.

Elastic Observability 8.8 delivers the general availability release of synthetic monitoring, the ability to ingest data directly to Elastic Cloud from Amazon Kinesis Firehose, and new capabilities for managing service level objectives.

Common use cases and scenarios for a successful AIOps deployment within observability. From monitoring to anomaly detection and root cause analysis, understand how you can improve your AIOps deployment and see success.

In 8.0, you can now upload PyTorch machine learning models into Elasticsearch to provide modern natural language processing (NLP). Integrate one of the most popular formats for building NLP models and incorporate them as part of a NLP data pipeline.