Operations | Monitoring | ITSM | DevOps | Cloud

Elastic

Stream AWS metrics to Elastic using Amazon CloudWatch Metric Streams

In today’s data-driven world, organizations need to harness the power of real-time monitoring and analysis. Amazon CloudWatch native monitoring service provides a robust platform for tracking metrics, logs, and events from various Amazon Web Services (AWS) resources. However, when you need to extend your monitoring and analytics beyond CloudWatch, integrating CloudWatch with Elastic can be a game-changer.

From App Search to Elasticsearch - Tap into the future of search

App Search will be discontinued in 9.0 versions, but Elasticsearch has everything you need to build powerful AI-powered search experiences. Here’s what you need to know. Recent advancements in generative AI are transforming user behavior, inspiring developers to create search experiences that are more dynamic, intuitive, and engaging.

Leveling up your observability practice - Part 2

Lessons from the front lines: Challenges in your observability maturity journey In our previous blog, we explored the observability maturity spectrum — revealing that while only 7% of organizations consider themselves experts, the majority (43%) are actively working to improve their practices. We saw how mature organizations achieve better outcomes, from faster root cause analysis to reduced user-reported incidents.

Agentic RAG on Dell AI Factory with NVIDIA and Elasticsearch Vector Database

We are excited to collaborate with Dell on the white paper,Agentic RAG on Dell AI Factory with NVIDIA. The white paper is a design reference document for developers outlining strategies and solution components to implement agentic retrieval augmented generation (RAG) applications. It’s a design point for organizations across industries, specifically healthcare, for the agentic RAG framework decision-making with AI-driven data retrieval.

Future-proofing operations with generative AI

NOBODY PANIC! The Elastic AI assistant’s got you! Transform problem identification and resolution, and eliminate manual data chasing across silos with an interactive assistant that delivers context-aware information for SREs. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Collecting Windows telemetry with Elastic: An introduction to the ETW Filebeat input

In the world of security, being able to use system telemetry of Windows hosts opens new possibilities for monitoring, troubleshooting, and securing IT environments. Recognizing this, Elastic has introduced new capabilities focused on Event Tracing for Windows (ETW) — a powerful Windows-native mechanism for capturing a vast array of system and application events. With these new additions, Elastic users can capture, analyze, and visualize Windows telemetry using the Elastic Search AI Platform.

Leveling up your observability practice - Part 1

Lessons from the front lines: Moving to observability maturity What separates the observability experts from the novices? It's a question that's been on my mind lately, especially after diving into our recent 2024 State of Observability Survey of over 500 practitioners. In my past roles as a DevOps engineer and a site reliability engineer (SRE), I've seen firsthand how a mature observability practice can be the difference between sleepless nights and smooth sailing.

Elasticsearch achieves Certified Software Solution status for Microsoft Azure

As a trusted partner in the Microsoft ecosystem, Elasticsearch has achieved another significant milestone by becoming a Certified Software Solution for Microsoft Azure. This certification not only underscores our commitment to excellence but also reflects our dedication to delivering seamless data solutions for our customers.

Elastic and Red Hat: Accelerating public sector AI and machine learning initiatives

As public sector organizations adapt to the exponential growth of data, there is a pressing need for powerful, adaptable solutions to manage and process large, complex data sets. Artificial intelligence (AI) and machine learning (ML) have become essential tools with the potential to transform data into actionable intelligence for government agencies. However, deploying these advanced solutions requires a robust infrastructure capable of handling the demands of data processing, storage, and analysis.