Logs act as silent sentinels, recording every whisper of your application’s activity. They are invaluable chronicles illuminating system behavior, diagnosing issues, and providing crucial insights into your application’s health. However, the true power of logs lies not just in their existence, but in how they are formatted. Log formatting is pivotal in transforming these raw data streams into actionable intelligence.

How we organize nodes (and the Netdata agents that are running on those nodes) across different rooms should reflect our architectural decision because the room is a logical container with its own user members and notification rules. So if we are monitoring large infrastructure we should be consistent with these rules and one way to achieve this is to choose automation.

In software development, dynamic instrumentation is a powerful linchpin between the development and debugging workflows. With software complexity reaching unprecedented levels, it is also a key enabler in boosting developer productivity in the pursuit of building performant and error-free software. Let’s explore the concept of dynamic instrumentation and understand how it boosts software development processes with unparalleled insights into the source code.

Cloud FinOps, Augmented FinOps, or simply FinOps, is rapidly growing in popularity as enterprises sharpen their focus on managing financial operations more effectively. FinOps empowers organizations to track, measure, and optimize their cloud spend with greater visibility and control.

Every moment counts when you’re managing incidents that can affect your services and customers. That’s why we’re excited to introduce a new bi-directional integration between Grafana OnCall and ServiceNow, a popular platform many large organizations rely on to help manage their incidents.

Credential theft has long been a leading cause of network security breaches, leading many organizations to implement multi-factor authentication (MFA) as a safeguard. It’s highly recommended that you enable MFA for all accounts as a best practice. However, the effectiveness of MFA depends significantly on how it’s set up because attackers are developing strategies to bypass it.

As you integrate artificial intelligence (AI) and machine learning (ML) technologies into your business operations, you’ll notice the sophistication of cyber threats against these systems rising. Among these emerging threats, data poisoning stands out due to its potential to manipulate and undermine the integrity of your AI-driven systems. Understanding and mitigating data poisoning risks will help you maintain the security and reliability of your AI and ML applications.