Elastic

Mountain View, CA, USA
2012
  |  By Alvin Richards,
Today we are announcing the availability of Elasticsearch Serverless in technical preview, which features: Early access customers have used this new self-service option for a range of use cases — from internal analytics to building generative AI applications and conducting machine learning tasks.
  |  By Alexander Wert,
As Elastic continues its commitment to OpenTelemetry (OTel), we are excited to announce the Elastic distribution of the OTel Java Agent. In this blog post, we will explore the rationale behind our unique distribution, detailing the powerful additional features it brings to the table. We will provide an overview of how these enhancements can be utilized with our distribution, the standard OTel SDK, or the vanilla OTel Java agent.
  |  By Bahubali Shetti
As an SRE, analyzing applications is more complex than ever. Not only do you have to ensure the application is running optimally to ensure great customer experiences, but you must also understand the inner workings in some cases to help troubleshoot. Analyzing issues in a production-based service is a team sport. It takes the SRE, DevOps, development, and support to get to the root cause and potentially remediate. If it's impacting, then it's even worse because there is a race against time.
  |  By Trent Mick
We are delighted to announce the alpha release of the Elastic OpenTelemetry Distribution for Node.js. This distribution is a light wrapper around the OpenTelemetry Node.js SDK that makes it easier to get started using OpenTelemetry to observe your Node.js applications.
  |  By James Spiteri,
A way for public sector organizations to leverage generative AI today to solve security challenges With its ability to sift through large amounts of data to find unusual patterns, generative AI now plays a key role in helping teams protect their organizations from cyber threats. It also helps security professionals by augmenting their skills and bridging gaps in their knowledge.
  |  By Jonathan Simon,
Elastic recently released version 8.13, which includes the general availability of Amazon Bedrock integration for the Elastic AI Assistant for Observability. This blog post will walk through the step-by-step process of setting up the Elastic AI Assistant with Amazon Bedrock.
  |  By Luca Wintergerst
In today's age of cloud services and SaaS platforms, continuous improvement isn't just a goal — it's a necessity. Here at Elastic, we're always on the lookout for ways to fine-tune our systems, be it our internal tools or the Elastic Cloud service. Our recent investigation in performance optimization within our Elastic Cloud QA environment, guided by Elastic Universal Profiling, is a great example of how we turn data into actionable insights.
  |  By Jonas Kunz,
In the complex world of microservices and distributed systems, achieving transparency and understanding the intricacies and inefficiencies of service interactions and request flows has become a paramount challenge. Distributed tracing is essential in understanding distributed systems. But distributed tracing, whether manually applied or auto-instrumented, is usually rather coarse-grained.
  |  By Damien Mathieu
As we’ve already shared, Elastic is committed to helping OpenTelemetry (OTel) succeed, which means, in some cases, building distributions of language SDKs. Elastic is strategically standardizing on OTel for observability and security data collection. Additionally, Elastic is committed to working with the OTel community to become the best data collection infrastructure for the observability ecosystem.
  |  By Rob Kernutt,
In today's cloud-centric landscape, managing and optimizing cloud resources efficiently is paramount for cloud engineers striving to balance performance and cost-effectiveness. By leveraging solutions like Tines and Elastic, cloud engineering teams can streamline operations and drive significant cost savings while maintaining optimal performance.
  |  By Elastic
In this quick overview, discover how the Elastic Observability AI Assistant can streamline your operations and significantly reduce Mean Time to Recovery (MTTR). In just a minute or two, we'll highlight the key features and benefits of integrating AI into your observability strategy. Perfect for IT professionals and SREs who are looking for an efficient solution to improve system uptime and performance. Watch now to learn how AI can make a real difference in your response times!
  |  By Elastic
Welcome to our quick overview of Performance Optimization with Elastic Observability! In this video, we explore the basics of how Elastic Observability can enhance your system’s performance monitoring and management. Discover key features that help you keep your applications running smoothly and efficiently, without deep diving into complexities. Perfect for anyone looking to get a quick grasp of what Elastic Observability can offer.
  |  By Elastic
Welcome to our quick guide on enhancing your incident management and troubleshooting capabilities using Elastic Observability. In this brief overview, we'll highlight how Elastic Observability can streamline your operations and help you quickly pinpoint and resolve issues. Whether you're looking to improve your response times or just want a snapshot of what Elastic can offer, this video is the perfect starting point.
  |  By Elastic
Welcome to a quick overview of how Elastic Observability can help SREs tackle the elusive unknown/unknowns in their system logs. In just a minute or two, this video will introduce you to the basic strategies and tools that Elastic provides to enhance your site reliability through smarter data insights. Perfect for professionals looking to quick-start their monitoring capabilities without getting overwhelmed. Dive in and discover how to transform your logs into actionable insights!
  |  By Elastic
In this overview, we'll introduce you to the key features of Elastic Observability, focusing on custom alerts, service level objectives (SLOs), and anomaly detection. Whether you're managing infrastructure, ensuring service reliability, or overseeing software performance, these tools are essential for maintaining system health and efficiency. This video provides a quick glimpse into how Elastic Observability can streamline your monitoring tasks and alert you to issues before they impact your services. Perfect for those looking to enhance their observability strategy.
  |  By Elastic
With the power of Elastic on Google Cloud, you can bring your logs, metrics, traces, and profiling together at scale for unified visibility and AI-powered insights across your entire ecosystem. Discover how organizations of all sizes unify and visualize all their data in one place using the combined innovation of Elastic and Google Cloud.
  |  By Elastic
Harness the power of your data and create faster AI-powered search experiences with Elastic on Google Cloud.
  |  By Elastic
The Elastic Certified Observability Engineer exam tests your knowledge and skills on using the Elastic Stack to implement observability, from ingesting metrics, logs, APM and uptime data to a single data source, to analyzing and reacting to events using Kibana, machine learning, and alerting.
  |  By Elastic
Elasticsearch skills are in high demand, and there’s no better way to prove you’re an expert than becoming an Elastic Certified Engineer.
  |  By Elastic
Elasticsearch skills are in high demand, and there’s no better way to prove you’re an expert than becoming an Elastic Certified Engineer.
  |  By Elastic
Learn how you can use Elastic Stack and X-Pack features, from role-based access control to data encryption, to get your Elasticsearch data ready for GDPR.

Elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. Built on an open source foundation, the Elastic Stack lets you reliably and securely take data from any source, in any format, and search, analyze, and visualize it in real time.

The Elastic Stack:

  • Kibana gives shape to your data and is the extensible user interface for configuring and managing all aspects of the Elastic Stack.
  • Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management.
  • Beats is a platform for lightweight shippers that send data from edge machines to Logstash and Elasticsearch.
  • Logstash is a dynamic data collection pipeline with an extensible plugin ecosystem and strong Elasticsearch synergy.

Founded in 2012 by the people behind the Elasticsearch, Kibana, Beats, and Logstash open source projects, Elastic's global community has more than 80,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 100 million cumulative downloads.