Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

Inside an AI engineer’s creative workspace.

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.

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.

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.

Elastic collaborates with Red Hat on the validated pattern to enhance financial analyst workflows with RAG-powered search. We’re excited to share that Elastic and Red Hat have partnered to create validated patterns that integrate Elasticsearch’s generative AI (GenAI) and vector search capabilities with Red Hat OpenShift AI. This integration can run on accelerated hardware on-prem or in IBM Cloud to power retrieval augmented generation (RAG) solutions.

When setting up an Elasticsearch cluster, one of the most common use cases is to ingest and search through logs. This blog post focuses on getting a benchmark that will tell you how well your cluster will handle your workload. It allows you to create a reproducible environment for testing things out. Do you want to change the mapping of something, drop some fields, alter the ingest pipeline?

Agentic AI is coming to financial services. Elastic provides the data foundation and tools to make it work. In a recent talk at Stanford University, Jamie Dimon, chairman and CEO of JPMorganChase, addressed the firm’s use of AI and ended with mentioning that agentic AI was the next frontier of AI at the firm, inferring it wasn’t ready to be deployed yet. Let’s break down why that may be the case and what the financial services industry can do to become more comfortable with agentic AI.