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.

Single Pane of Glass (SPOG) monitoring is a term used to denote monitoring applications with a single tool that provides a comprehensive set of dashboards for the entire software system of an organization. Managing multiple monitoring tools for different aspects of the IT system becomes too cumbersome. And that’s how the concept of a single pane of glass monitoring evolved. Most modern applications are now built using distributed software systems.

OpenTelemetry is an open-source standard for instrumenting cloud-native applications for generating different types of telemetry data. A robust observability framework set up using OpenTelemetry can help tremendously while troubleshooting software in production. Nginx is one of the most widely adopted web servers. Most often, nginx is used as a reverse proxy. It serves the frontend or backend applications behind the reverse proxy.

Health check monitoring is a critical practice for maintaining reliable and high-performing systems. It allows you to proactively identify and address issues before they impact your users. This guide explores the fundamentals of health check monitoring, its importance in modern systems, and practical strategies for implementation. You will also learn how HTTP endpoints can be monitored with OpenTelemetry.

As organizations move their application workloads to the cloud, understanding the difference between cloud observability vs monitoring is crucial to ensure optimal performance and seamless operations. While both concepts are often mentioned in tandem, they serve different purposes, and mastering each can help organizations thrive in increasingly complex cloud environments.

Exception monitoring in Java plays a vital role in Java application performance monitoring by providing real-time insights into the health and stability of the application. Java is now the backbone of many critical and complex business applications in sectors such as banking, healthcare, finance, retail, and e-commerce. The complexity of these systems is also compounded by the fact that they involve distributed Java microservices that communicate across various layers.