Operations | Monitoring | ITSM | DevOps | Cloud

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

Reducing Telemetry Toil with Rapid Pipelining

Intellyx BrainBlog by Jason English for Mezmo ‍ “Bubble bubble, toil and trouble” describes the mysterious process of mixing together log data and metrics from multiple sources as they enter an observability data pipeline. ‍ Customers demand high performance, functionality-rich digital experiences with near-instantaneous response times.

Flexible Log Management at Scale for Government

As government agencies scale their IT modernization initiatives and deepen their focus on security, managing and maximizing the value of growing log volumes becomes more challenging. During this webinar, Datadog experts examined how to collect, process, and store large machine-generated data sets, transforming them from noise into actionable intelligence.

Elastic extends production-ready AI capabilities for all!

Elastic Security is making your organization safer with general availability of our favorite AI features. Elastic Security is announcing the general availability (GA) of two of our most widely deployed generative artificial intelligence (GenAI) capabilities: Attack Discovery, launched in May, and Automatic Import, launched in August. Elastic’s AI-driven security analytics are providing immense value to many organizations.

Building a Self-Service and Scalable Observability Practice

Join us in this session and learn how Splunk can help you build a standardized observability practice. From implementing an observability-as-code service to role-based access controls (RBAC), Token Management, Metrics Pipeline Management, and OpenTelemetry, learn how to create an Observability platform to optimize your metrics usage and costs while managing workloads efficiently.

What Is Synthetic Data? A Tech-Savvy Guide to Using Synthetic Data

Synthetic data is gaining attention as artificial intelligence (AI) continues to evolve. But what exactly is it, and why is it so important today? At a high level, synthetic data refers to data that's generated by algorithms or mathematical models. It is not data collected from the real world.

Java Util Logging Configuration: A Practical Guide for DevOps & SREs

Setting up proper logging is like having a good navigation system when you're driving through unfamiliar territory. For DevOps engineers and SREs managing Java applications, understanding how to configure the built-in java.util.logging framework is essential knowledge that can save you hours of troubleshooting headaches. Let's break down java util logging configuration in a way that makes sense — no fancy jargon, we promise!

How to View and Understand VPC Flow Logs

If you're running workloads in AWS, you've probably heard about VPC Flow Logs. These logs are your eyes and ears for network traffic in your Virtual Private Cloud, and knowing how to check them properly can save you hours of troubleshooting headaches. Whether you're tracking down connectivity issues or monitoring for suspicious activity, this guide will walk you through checking VPC flow logs step by step, with practical examples you can apply today.

Comprehensive Guide to Log Aggregation Techniques and Tools

Logs can provide vital insights to help you monitor system health, pinpoint and resolve issues, and improve cybersecurity. They capture real-time errors and record information about events and other system activities, shedding light on everything from application performance to security threats. However, managing logs can be overwhelming. To get the most out of your logs, you need to aggregate them into a centralized system where they can be organized, searched, and analyzed effectively.

How Cribl Partners with Google Cloud Security to Transform Telemetry Data Management for Google Security Operations

Organizations today are grappling with an explosion of telemetry data growth as cloud adoption accelerates, digital infrastructures expands, and operational complexity increases. More data creates more challenges for IT and security teams as they struggle to separate signal from noise while maintaining compliance and efficiency within constrained budgets. It often feels like being caught in the deep end of a wave pool without a floatie, with each new data source sending another wave crashing down.