As organizations continue to become more reliant on distributed and hybrid workforces, the need for comprehensive data collection across every endpoint—servers, applications, desktops, and laptops—has never been more critical. But let’s be real: agents can be a total headache. That’s where Cribl Edge comes in, now with support for desktops and laptops (in preview)!

No matter how well businesses run, team leads, or project managers are always searching for ways to run business operations faster and more efficiently. Even when projects and management plan effectively, processes can still become stuck, face delays, or data becomes disorganized.

In the IT infrastructure serving increasingly digitized enterprises, the criticality of network quality of service is more than evident to ensure connectivity to everyone at any time. System and network administrators need to understand which technology enables efficient, reliable, and lowest latency data transmission between IT applications and services.

The Domain Name System (DNS) is often described as the address book of the Internet. A and AAAA records map a human-friendly hostname like honeybadger.io to some machine-friendly IP address like 104.198.14.52. Other types of DNS records also exist; in particular, CNAME records are records that map a hostname to some other hostname, thereby delegating IP resolution to the latter.

Mocking APIs is a popular practice in software development. An increasing number of developers are reaping the benefits and no longer using their valuable time to spin up duplicate resources. Many mock services do not require account creation, making them easy to use and privacy-friendly. In the rest of this article, we explain what mock APIs are, when you should think about using them, and what solutions are available within the open-source and proprietary markets.

As the IT landscape evolves, businesses face increasingly complex challenges related to system availability, data integrity, and customer satisfaction. One of the most pressing dilemmas is how to manage incidents effectively—deciding between reactive and proactive incident response approaches. Both methodologies have their own merits and pitfalls, but the decision can significantly influence how efficiently an organization handles IT disruptions and maintains operational continuity.