Getting started with ES|QL (Elasticsearch Query Language)
Shorten your time to insights by creating aggregations, visualizations, and alerts directly from Discover with ES|QL.
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For the US Navy, digital keel should start with search
Last year, the US Navy’s Capstone Design Concept for Information Superiority provided digital modernization guidance for the Department of the Navy (DON). The document sets forth the overarching goal: to “securely move any information from anywhere to anywhere” in order to achieve information superiority. The design concept also highlights two outcomes: customer experience and operational resilience.
Our Source Code: What Makes Elastic, Elastic
Our Source Code is what makes Elastic, Elastic. But what exactly is it? It’s a set of ideas rather than a statement of values. Some are accurate to who we are while others are aspirational. And it’s the cornerstone of our company culture.
Continuous profiling: The key to more efficient and cost-effective applications
Recently, Elastic Universal ProfilingTM became generally available. It is the part of our Observability solution that allows users to do whole system, continuous profiling in production environments. If you're not familiar with continuous profiling, you are probably wondering what Universal Profiling is and why you should care. That's what we will address in this post.
Elastic's contribution: Invokedynamic in the OpenTelemetry Java agent
As the second largest and active Cloud Native Computing Foundation (CNCF) project, OpenTelemetry is well on its way to becoming the ubiquitous, unified standard and framework for observability. OpenTelemetry owes this success to its comprehensive and feature-rich toolset that allows users to retrieve valuable observability data from their applications with low effort. The OpenTelemetry Java agent is one of the most mature and feature-rich components in OpenTelemetry’s ecosystem.
Transforming Observability with Elastic AI Assistant: A Proactive, AI-Driven Approach
Discover how Elastic AI Assistant is transforming the world of observability by offering proactive, AI-powered insights that help SRE teams manage complex systems more efficiently. Say goodbye to manual, reactive processes and hello to a proactive, AI-driven approach with the Elastic AI Assistant for Observability.
How to deploy a Hello World web app with Elastic Observability on Azure Container Apps
Elastic Observability is the optimal tool to provide visibility into your running web apps. Microsoft Azure Container Apps is a fully managed environment that enables you to run containerized applications on a serverless platform so that your applications scale up and down. This allows you to accomplish the dual objective of serving every customer’s need for availability while meeting your needs to do so as efficiently as possible.
Turbo-charging AI Ops with the Elastic Observability AI Assistant: ElasticON AI
Elastic Observability experts Bahubali Shetti and Gagan Singh take a deep dive into how the Elastic Observability AI Assistant can help you get deeper contextual insights into telemetry, troubleshoot issues more effectively, reduce time to resolution, and streamline operations.
Latest breakthroughs in vector search for Elasticsearch and Lucene: ElasticON AI
Elastic experts Jim Ferenzi and Ben Trent discuss key Elasticsearch and Lucene improvements — including intuitive vector search support, multi-threading, RRF, and hybrid search with filtering and doc-level security. Plus, hear what they are working on next! Additional resources.
Migrating 1 billion log lines from OpenSearch to Elasticsearch
What are the current options to migrate from OpenSearch to Elasticsearch®? OpenSearch is a fork of Elasticsearch 7.10 that has diverged quite a bit from itself lately, resulting in a different set of features and also different performance, as this benchmark shows (hint: it’s currently much slower than Elasticsearch).