Monitoring IoT applications is essential due to their operation in dynamic and challenging environments, which makes them susceptible to various operational and connectivity issues. Application Performance Monitoring (APM) is the key to identifying and resolving these issues in real time, ensuring uninterrupted data flow and functionality. Moreover, the insights gained from APM can optimize device performance, ensure reliability, and reduce operational costs.

When a system runs slowly, our first thought might be that it’s failing. This common reaction underscores a key point: In the world of web applications, even milliseconds matter. Performance impacts user satisfaction and operational efficiency, making it a critical factor. In this article, we'll show you how to use AppSignal to monitor and improve the performance of your Flask applications.

With the UK government's 2024 launch of a project to integrate AI into classrooms, Rob Johnson, VP of Solutions Engineering, takes a closer look at the landscape of education and AI in a piece for cybersecurityintelligence.com. Aimed at creating lesson plans and easing the administrative burden of teachers, the initiative aims to allow education staff to focus on areas of their roles that currently get sidelined.

User experience (UX) is key to success. To ensure your web or mobile app performs well, RUM (Real User Monitoring) helps you track real-time interactions with actual users. It gives you valuable insights into how your audience experiences your product. In this guide, we’ll explore what RUM monitoring is, why it matters, and how it can help boost performance and user satisfaction.

Incident management is more than just fixing problems—it’s about understanding their impact and knowing how to respond. That’s where incident severity levels come into play.

Syslog is a foundational part of logging in Linux and Unix-based systems, helping engineers efficiently capture and analyze system events. Among its core components, syslog levels play a crucial role in categorizing logs based on their severity. Understanding these levels can significantly improve troubleshooting, monitoring, and alerting strategies.

PromQL (Prometheus Query Language) is a powerful and flexible query language used to retrieve and manipulate time-series data stored in Prometheus. One of its lesser explored but immensely valuable features is its ability to handle facets, a concept that can simplify complex metrics analysis and enhance observability. In this blog, we will dive deep into PromQL facets, exploring what they are, why they matter, and how you can use them to gain better insights into your systems.