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

Elastic Search 8.15: Accessible semantic search with semantic text and reranking

In 8.15, great search results are even more accessible for our customers. Our latest release brings semantic reranking, additional vector search tools, and more third-party model providers and promotes our native Learning to Rank (LTR) to generally available. And now search is more performant than ever with additional speed and efficiency improvements.

Elastic Observability 8.15: AI Assistant, OTel, and log quality enhancements

Elastic Observability 8.15 announces several key capabilities: New and enhanced native OpenTelemetry capabilities: Elastic AI Assistant enhancements: Large language model (LLM) observability for Azure OpenAI: Elastic Observability now provides deep visibility on the usage of the Azure OpenAI Service. The integration includes an out-of-the-box dashboard that summarizes the most relevant aspects of the service usage, including request and error rates, token usage, and chat completion latency.

Applying a Data Engineering Approach to Telemetry Data

The exponential growth of telemetry data presents a significant challenge for organizations, who often overspend on data management without fully capitalizing on its potential value. To unlock the true potential of their telemetry data, organizations must treat it as a valuable enterprise asset, applying rigorous data engineering principles to glean the critical insights and accelerated investigations this data is meant to enable. The telemetry data platform approach democratizes access across disciplines and personas and fosters widespread utilization across the organization.

Managing Observability Pipeline Chaos

The cloud environment has generated an unprecedented volume of data, making it increasingly difficult for enterprises to manage. With multiple SaaS and cloud-based applications in play, differentiating which data needs processing for analysis versus storage for regulatory compliance is a significant challenge. The growing number of data sources only complicates this further. So, getting clarity and control over this chaos is the goal, without having to overhaul your entire system.

How to integrate Okta logs with Grafana Loki for enhanced SIEM capabilities

Identity providers (IdPs) such as Okta play a crucial role in enterprise environments by providing seamless authentication and authorization experiences for users accessing organizational resources. These interactions generate a massive volume of event logs, containing valuable information like user details, geographical locations, IP addresses, and more. These logs are essential for security teams, especially in operations, because they’re used to detect and respond to incidents effectively.

Cribl Search Provides an Audit Capability to Assess Your Snowflake Account

Only last month, Cribl added Snowflake to its growing list of accessible data stores it can search. Using Cribl Search, admins can now leverage Cribl’s search-in-place capability to query data located in Snowflake’s data warehouse. Boy, did we have the timing right? Today, Snowflake customers and other incident response teams are still determining the nexus of the incident.

Shh, It's a Secret: Keeping Them Safe in Cribl's Software

Remember when you used to jot down passwords on sticky notes? Well, those days are long gone. In today’s world of data pipelines, secrets, similar to API keys, are like digital VIP passes. They open doors to critical systems and keep sensitive info on lockdown. At Cribl, we’re all about top-notch data security, and that means guarding your secrets like treasure. Let’s dive into our game plan for keeping secrets safe throughout the entire software development lifecycle (SDLC).

Cribl Lake Wins CRN 2024 Tech Innovators Award for Data and Information Management

The greatest innovations are often the simplest. They address fundamental needs and make life easier in the most direct way. Cribl Lake was just announced as the winner of CRN’s 2024 Tech Innovators Award for Data Information Management. We are so happy and honored by this recognition, which solidifies our belief that the best innovations are indeed the simplest.

How to Monitor JVM with OpenTelemetry

The Java Virtual Machine (JVM) is an important part of the Java programming language, allowing applications to run on any device with the JVM, regardless of the hardware and operating system. It interprets Java bytecode and manages memory, garbage collection, and performance optimization to ensure smooth execution and scalability. Effective JVM monitoring is critical for performance and stability. This is where OpenTelemetry comes into play.