A business's website or application might appear polished on the surface, but if the underlying infrastructure is struggling, the user experience also suffers. Users can only benefit from applications and services if the critical back-end infrastructure is functional. Here's where infrastructure monitoring comes in—it acts as a watchful eye in your IT environment, ensuring everything runs smoothly.

In the digital world, your website is like a house, and visitors access it through an address. But before they reach your doorstep, they need directions—that's where the domain name system (DNS) comes in. It acts like a phone book and translates user-friendly website names (like google.com) into machine-friendly numerical IP addresses. DNS server monitoring checks the health and performance of the DNS servers that translate website addresses into IP addresses.

What is SLA and how can it help you build better relationships with service providers?

If you're aiming for a position that demands strong monitoring and observability skills, thorough preparation is essential. In this comprehensive guide, we will provide an extensive list of the most frequently asked interview questions about the three pillars of observability; logs, metrics and tracing. Each question is also accompanied by detailed, well-explained answers to ensure that you fully understand the concepts and can confidently demonstrate your expertise.

The rapid adoption of Generative AI (GenAI) tools, such as ChatGPT, has transformed various sectors, including marketing, legal, and software development. However, this rapid integration brings challenges, such as managing critical data access, mitigating costs, and ensuring compliance. To address these complexities, enterprises need to upgrade their data center management with an AI Data Fabric Copilot.

Ron Dover is CTO and co-founder of Digma.ai, an IDE plugin for code runtime AI analysis to help accelerate development in complex code bases. Ron is a big believer in evidence-based development and a proponent of continuous feedback in all aspects of software engineering. Traditionally, software developers have relied on simple logs to understand code execution and troubleshoot issues.