Monitoring Windows event and activity Logs is one of the most important aspects of Windows log management. Windows Event Logs contain all the crucial information about system health, security events, application and errors which helps in gaining insight into your operating system.

Docker containers generate logs to monitor their operations, but without a mechanism in place to manage these logs, they can grow indefinitely, leading to excessive disk space consumption and performance degradation. Implementing docker log rotation is crucial to control log file size and quantity, ensuring efficient log management and optimal system performance.

We’ve posted before about how engineers on call at Honeycomb aren’t expected to do project work, and that whenever they’re not dealing with interruptions, they’re free to work on whatever will make the on-call experience better. However, all of our engineering rotations rely on hand-off meetings where they update the Slack groups with everyone who’s on call. During my last shift, a small problem kept causing friction for some of our incident management automation.

Observability is critical to innovation, but for many organizations, soaring costs make it impossible to achieve. Logz.io is here to change that.

A memory leak is a faulty condition where a program fails to free up memory it no longer needs. If left unaddressed, memory leaks result in ever-increasing memory usage, which in turn can lead to degraded performance, system instability, and application crashes. Most modern programming languages include a built-in mechanism to protect against this problem, with garbage collection being the most common. Go has a garbage collector (GC) that does a very good job of managing memory.

MongoDB has become a cornerstone in modern database architectures. Its flexibility and scalability make it a go-to choice for many organizations. But with great power comes great responsibility—and the need for robust monitoring. There are many monitoring tools out there, and choosing the right one can be confusing. This article lists the top MongoDB monitoring tools, from open-source ones to fully managed SaaS solutions.

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. For visualizing OpenTelemetry data, you need an OpenTelemetry UI. The data collected by OpenTelemetry can be sent to a backend of your choice, which can then be visualized.

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. APM stands for Application Performance Monitoring or Application Performance Management. APM tools help engineering teams effectively monitor their applications by monitoring key metrics for application performance.

Node.js is one of the most popular frameworks for server-side programming. As it's based on JavaScript, it's easy to learn and widely used by both enterprises and startups. However, Node.js applications can be prone to issues like memory leaks and high CPU loads due to its dynamically typed, single-threaded nature. This makes performance monitoring crucial for Node.js applications.

Bring your own device (BYOD) policies are more important than ever since smartphones became pervasive. I’d argue that even if you don’t want to allow personal user devices to access corporate data or applications, you still need BYOD policy best practices if only to acknowledge the fact that users are already bringing their personal devices into your organization.