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

Introducing Coralogix Continuous Profiling

Debug faster, improve application performance, and lower your cloud costs - without slowing down production. Traditional profiling solutions come with a heavy price—added latency, excessive resource consumption, and performance degradation. At, we’re changing the game with Continuous Profiling, the first of its kind to offer real-time, kernel-level visibility into application performance without any code changes or production impact.

Meta-monitoring Loki (Loki Community Call May 2025)

In this Loki Community Call, we talk about the need for meta-monitoring Loki: why Loki needs to be monitored, what to watch out for, and how to do it. We talk about different ways to get information from Loki that allow you to make it reliable, consistent, and performant, including a Helm chart to deploy a meta-monitoring stack on Kubernetes. We discuss the Loki mixin for Grafana and how to use it to visualize data about Loki. On the call are Jay Clifford, Nicole van der Hoeven, and Dylan Guedes from Grafana Labs.

Splunk Observability Cloud's AI Assistant in Action | Practical Examples | Part 1

In this video, we’ll provide practical, real-time examples demonstrating how to effectively use the AI Assistant in Splunk Observability Cloud. You'll learn how the AI Assistant can quickly identify unknown issues in your environment, perform detailed root cause analysis, analyze service performance and deployment impacts, and even help manage infrastructure costs and compliance. TOC.

Modern Logging, Smarter Pricing: Why Graylog's Consumption Model Just Makes Sense

In the world of log management and security analytics, one thing is abundantly clear: data volumes fluctuate. Yet most pricing models haven’t caught up. Traditional ingest-based licensing models force organizations to size their license needs based on a worst-case capacity scenario—the “high-water mark”—whether those spikes are rare and/or expected.

Easiest Way to Monitor Loki Performance With Telegraf

Loki is a powerful, scalable log aggregation system designed by Grafana to efficiently collect, store, and query logs. It’s often deployed alongside Prometheus as part of modern observability stacks. Loki’s design emphasizes cost-effective storage by indexing only metadata, which makes it a great choice for high-volume environments. But while Loki excels at log ingestion and indexing, many teams overlook the critical task of monitoring Loki itself.

AI Data Management: Strategies, Tools, and Trends

Artificial Intelligence (AI) is revolutionizing businesses across industries. From personalized customer experiences to predictive analytics and process automation, there are hardly any sectors untouched by AI's impact. Its applications in data management aren't left behind. In fact, AI has the potential to transform traditional data management practices.

React Logging: How to Implement It Right and Debug Faster

React logging is the practice of recording relevant information about your application's behavior during runtime. Unlike traditional server-side logging, React logging happens in the browser and focuses on frontend concerns: component lifecycle events, state changes, user interactions, performance metrics, and network requests. Effective logging creates breadcrumbs that help you understand application flow and quickly pinpoint problems.

How Docker Logging Drivers Work

Troubleshooting containerized applications can quickly become complex when logs are scattered across multiple systems. Most DevOps teams face this challenge daily—what starts as a simple container deployment often evolves into a complex logging puzzle. This guide explores Docker logging drivers in depth, covering configuration options, best practices, and practical solutions.