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

Fastest Time-to-Value Anomaly Detection in Splunk: The Splunk App for Anomaly Detection 1.1.0

Anomaly detection in metrics or time series data is the most used machine learning use case among Splunk Security and Observability customers. Customers are looking for easy-to-use ML-powered high-fidelity anomaly detection, so that they can be alerted at the first sign of a failure point or security incident.

How BAI Communications Scaled Log Analytics to Optimize Network Performance

The team wanted something simple that they could use with existing, low-cost storage options, such as Amazon Simple Storage Service (S3) buckets. Instead of implementing a massive volume of solid-state drives (SSDs) to write logs, the team needed a simpler and more cost-effective solution that would keep cloud infrastructure in place for availability and geo-diversity across markets. Today, ChaosSearch helps the team store and query long-term data at 0.1% of the cost of other leading technology stacks.

Creating an environment for distributed teams to thrive and innovate

Hear from our group of panelists on how they enable their teams to thrive in a distributed environment. It may seem difficult to carve out your career path, be innovative and inclusive all while being remote. But these women will share their leadership styles and insights on how they lead and support their high performance teams.

Smooth Scaling: Reducing Overhead with Cribl Stream

When I was still writing code, our Splunk license only had enough capacity to monitor our Production environment. So we stood up a self-managed Elastic cluster for our lower environments. This quickly became unmanageable as we started logging more and adding additional environments. As I spend more time in the field, I see this pattern repeated over and over.

Understanding APM: How to add extensions to the OpenTelemetry Java Agent

As an SRE, have you ever had a situation where you were working on an application that was written with non-standard frameworks, or you wanted to get some interesting business data from an application (number of orders processed for example) but you didn’t have access to the source code?

Leading on full-stack observability: once you have the logs, the rest is easy

Observability gets more challenging yearly in the rapidly evolving world of distributed computing and cloud-native applications. Organizations today are tasked with ensuring that their critical business applications, revenue-generating applications, and supporting infrastructure operate with reliability and security. The stakes are high; any lapse can lead to user churn, revenue loss, and decreased productivity.

Introduction to ELK Tech Stack

ELK Stack, also known as the Elastic Stack is a powerful and versatile open-source toolset that has revolutionized the way businesses manage and analyze their data. ELK Stack seamlessly integrates these three robust components to offer a comprehensive solution for searching, analyzing, and visualizing large volumes of data in real-time. So, buckle up, for a comprehensive overview of the ELK stack and its components, which will be a great starting point for beginners.