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The latest News and Information on Log Management, Log Analytics and related technologies.

#observability needs more than tools. It needs the right data.

Good observability starts with good data. In this clip, we hear how Cribl gives teams real control over their data pipelines so they can collect, enrich, and route telemetry from any source to the right destination. It is not just about more dashboards or another platform. It is about building an observability ecosystem that connects IT, security, and the business through cleaner data and smarter AIOps. Tool rationalization and AI driven pipelines are not future goals. They are happening right now.

Ep 18: AI has a memory problem, just like you do

In this episode of Masters of Data, we dive into how AI learns, examining both how we teach it and what it derives from human performance, as well as why context plays a crucial role in AI interactions. We break down five key components of AI training and talk about why we should view AI as a tool under human control rather than an autonomous entity. We explore the challenge of maintaining context in AI—much like our own memory struggles—and discuss methods, such as retrieval-augmented generation, that can help AI retain context more effectively.

Better together: Cribl and Microsoft Fabric just got radically simpler

In September, I wrote about how Cribl and Microsoft Fabric Real-Time Intelligence provide a powerful combination, unlocking new analytics capabilities for security and IT teams. I also said there was more to come… Today, Cribl is thrilled to announce a new Cribl Destination for Microsoft Fabric Real-Time Intelligence, marking another big step forward in our collaboration with Microsoft to make it much easier for Cribl customers to use Fabric.

Mezmo's AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)

We are thrilled to announce the availability of Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)—a truly transformative leap forward for engineering and operations teams included in your existing subscription at no additional charge. We are paving the way for a new era of observability, moving beyond passive, reactive monitoring to a world of proactive AI-driven observability.

What Is a Data Pipeline

In today’s tech world, IT and security technologies are the functional equivalent of Pokemon. To gain the insights you need, you “gotta catch ‘em all” by ingesting, correlating, and analyzing as much security data as possible. Data pipelines organize chaotic information flows into structured streams, ensuring that data is reliable, processed, and ready for use.

MachineGPT: Speaking the Language of Machines to Shape the Future of AI

At.conf25, we took a bold step forward—introducing the concept of MachineGPT, which brings the power of generative AI to one of the most overlooked resources: machine data. MachineGPT speaks the language of machines. Just like ChatGPT learned the grammar of words and sentences to understand questions and respond in human language, MachineGPT can learn the hidden “grammar” of how systems behave through machine data.

Elastic named a Leader in the IDC MarketScape: Worldwide Observability Platforms 2025 Vendor Assessment

We're proud to share that Elastic has been named a Leader in the IDC MarketScape: Worldwide Observability Platforms 2025 Vendor Assessment (doc, November 2025). We believe this recognition validates our ongoing mission: to deliver an observability platform that is open, extensible, and AI-driven to power full-stack observability that unifies operational and business data at scale, allowing SRE teams to move from detect and resolve problems faster.

Graylog MCP Integration: Real-Time LLM Access to Your Data

Graylog V7.0 supports integration with the Model Context Protocol (MCP), which allows large language models (LLMs) to access and interact with Graylog data and workflows in real time. Graylog exposes an MCP-compatible endpoint for LLM clients, such as Claude and LM Studio. MCP integration allows Graylog users to interact with their data through LLMs. With MCP, an LLM can connect directly to Graylog as a remote tool interface, performing queries, retrieving system information, and assisting with common administrative or investigative tasks. This capability may make it possible to.