Operations | Monitoring | ITSM | DevOps | Cloud

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.

Grafana Alloy, our distribution of the OpenTelemetry Collector with native support for Prometheus, is great for all sorts of needs, including shipping your Microsoft Azure metrics and logs to Grafana Cloud.

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!

OpenTelemetry is officially the second-largest project in the CNCF, only behind Kubernetes. This year we had 13.000 engineers, maintainers, and vendors show up in London.

If you need to monitor your application’s health, troubleshoot issues quickly, and ensure compliance with various security policies, application logging is compulsory. Without proper logging, identifying the root cause of failures, tracking suspicious activity, or optimizing application performance will become significantly more challenging, if not impossible.

Log shippers are essential components in modern infrastructure, serving as the critical connection between the systems that generate logs and the platforms that store and analyze them. They operate behind the scenes to ensure that important system and application information reaches its destination reliably. This guide provides a comprehensive overview of log shippers, including their functionality, implementation considerations, and selection criteria for different environments.

Microsoft Windows Internet Information Services (IIS) log files hold a wealth of data on web application activity and performance. But, locating and managing these logs can be challenging for busy sites with constant traffic and complex infrastructures. IT operations teams rely on IIS logs to troubleshoot web applications, track server requests, identify users, and address other user traffic concerns for optimal security.

Docker containers continuously generate logs during operation, and without proper management, these logs can consume significant disk space, impact system performance, and create operational issues. Logrotate offers an effective solution for managing these logs in containerized environments. This guide covers the implementation of logrotate in Docker containers – from initial setup through advanced configurations that ensure stable, maintainable container deployments.

Instead of deploying a patchwork of proprietary agents for every platform, a telemetry pipeline lets you route your data through a single, consistent layer—and send it to any backend you choose. Flexibility, achieved. But there’s a catch. If your pipeline is proprietary, you’ve only shifted the lock-in left. Sure, you can now add or swap destinations freely—but you’re still deeply dependent on a vendor in the middle of your data flow.