Operations | Monitoring | ITSM | DevOps | Cloud

Elastic named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms

Observability has an investigation problem, and dashboards and alerts aren’t enough for solving problems in today’s complex systems. AI-driven capabilities, powerful analytics, and the ability to scale are essential to drive real-time investigations while keeping costs low. We think this is why Elastic has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second time.

APM best practices: Dos and don'ts guide for practitioners

Application performance management (APM) is the practice of regularly tracking, measuring, and analyzing the performance and availability of software applications. APM helps you get visibility into complex microservices environments, which can overwhelm site reliability engineering (SRE) teams. The generated insights create an optimal user experience and achieve desired business outcomes.

Enhanced monitoring of Amazon EKS with Elastic add-on capabilities

Easily enable Elastic add-on within the Amazon EKS Console for streamlined monitoring and quick data onboarding. Amazon Elastic Kubernetes Service (EKS) makes running Kubernetes on AWS simple and scalable. But as your workloads grow, so does the need for robust monitoring and observability. Enter Elastic Agent, a powerful, unified way to collect logs, metrics, and security data from your EKS clusters, all managed through Elastic Fleet.

Elastic Cloud Serverless now generally available on Microsoft Azure

Elastic Cloud Serverless provides the fastest way to start and scale security, observability, and search solutions — without managing infrastructure. Today, we are excited to announce the general availability of Elastic Cloud Serverless on Microsoft Azure — now available in the EastUS region. Elastic Cloud Serverless provides the fastest way to start and scale security, observability, and search solutions without managing infrastructure.

Elastic's journey to build Elastic Cloud Serverless

Stateless architecture that auto-scales no matter your data, usage, and performance needs How do you take a stateful, performance-critical system like Elasticsearch and make it serverless? At Elastic, we reimagined everything — from storage to orchestration — to build a truly serverless platform that customers can trust. Elastic Cloud Serverless is a fully managed, cloud-native platform designed to bring the power of Elastic Stack to developers without the operational burden.

The hype is over: Generative AI is driving the evolution of search within enterprises

Discover how Accenture and Elastic are helping businesses seize the opportunities offered by generative AI When it comes to generative AI, enterprises need to think big. Shaving a few seconds off the time needed to draft an email is helpful, but the journey to real value begins when you apply AI at the enterprise level. A new partnership between Accenture and Elastic combines technical expertise and strategic excellence, enabling businesses to build the data foundations for a successful AI future.

Elastic achieves AWS Education ISV Partner Competency, strengthening education solutions portfolio

Advancing digital transformation in education through Search AI and cloud innovation We’re thrilled to share that Elastic has achieved the AWS Education ISV Partner Competency. This prestigious designation recognizes Elastic as an Amazon Web Services (AWS) partner that has proven expertise in delivering high-quality solutions that help education institutions support successful student outcomes while protecting security and privacy.

Elastic and AWS collaborate to bring GenAI to DevOps, security, and search

Today, we are happy to celebrate Elastic and AWS committing to a five-year strategic collaboration agreement (SCA). Our collaboration underscores the efforts of Elastic and AWS to provide you with increased speed and greater flexibility as you adopt generative AI technology.

How to implement business observability

It sounds simple: You define metrics for success, you track them, and if they fail, you fix them. For decades, this was how businesses monitored their systems. However, a reactive monitoring approach, which alerts businesses about failures only after the issue has already impacted operations, became insufficient as digital architectures grew more complex.