Operations | Monitoring | ITSM | DevOps | Cloud

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

Microsoft Defender Endpoint Logs and Cribl Stream - Quick Start Guide

Microsoft Defender offers everyone comprehensive threat prevention, detection, and response capabilities—from individuals looking to protect their families to the world’s largest enterprises. Microsoft Defender allows IT and Security teams to prevent, detect, and respond to attacks across devices, identities, apps, email, data, workloads, and clouds. Have you ever wondered if you can use Cribl Stream to help manage your Microsoft Defender for Endpoint logs? The answer is Yes (plus benefits)!

Docker Logging: Effective Strategies for Docker Log Management

Docker is a platform that makes creating, deploying, and running containerized applications easier. Containerization is a lightweight and portable application deployment technique involving packaging an application and its dependencies inside a container. A container is a standalone, executable software package that includes everything needed to run a piece of software, including the code, runtime, system tools, libraries, and settings.

What happens when you can afford to ingest all your log data?

Sit down with Joe Kim, Sumo Logic's CEO, and Michael Cucchi, VP of Product Marketing, for a fireside chat (minus the fire) about Sumo Logic's new flex licensing plan. They'll discuss how removing the cost of ingesting log data across an enterprise: Tune in for a 20-minute chat about what happens when you can finally log everything with $0 ingest.

Introducing Honeybadger Insights

I'm pleased to announce a new feature that we've been building for over a year: Honeybadger Insights. Insights is our take on logging and performance monitoring, helping application developers gain deeper visibility into what's happening with their applications. It goes beyond application monitoring and responding to exceptions and downtime. Insights lets you drill down into the details and step back to see patterns in your data.