Operations | Monitoring | ITSM | DevOps | Cloud

Like all organizations, Elastic deals with an ever-increasing volume of information and data, making it harder for our teams to keep information up to date and for employees to find answers from relevant resources. As a leading Search AI company, our approach to customer-first starts with customer zero — us. When our employees needed a better way to find the information necessary to do their jobs, we knew we could use our own technology to bring that vision to life.

Announcing the general availability of Elastic Observability on Elastic Cloud Serverless — a fully managed observability solution As organizations scale, an observability solution that can handle the complexity of distributed cloud environments and provide real-time insights often feels like an insurmountable challenge often due to data- and cost-related compromises.

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.

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.

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.

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.

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.

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.

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.

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.