It’s no secret that many businesses rely heavily on Amazon Web Services (AWS) for their infrastructure and application needs. While AWS offers scalability, flexibility, and reliability, managing and monitoring cloud resources can be challenging. That’s where AWS monitoring and observability can be a tremendous asset. Today, we will explore how implementing these practices is crucial for ensuring that your cloud environment operates smoothly, efficiently, and securely.

Ensuring your applications are reliable and performant is more critical now than ever. This need has driven the rise of observability practices, where developers and operations teams closely monitor their applications’ health, performance, and behavior. This is where OpenTelemetry (OTel) comes into play.

Prometheus has emerged as the de facto standard for monitoring in cloud-native environments based on several key factors. Prometheus offers a highly scalable time-series database, capable of handling millions of metrics and a pull-based architecture that simplifies network configuration and enhances security. In this blog post, we’ll explore the four primary Prometheus metric types: counter, gauge, histogram, and summary.

Effective monitoring is crucial for maintaining system health and performance. Prometheus has grown in popularity as a an open-source monitoring solution, gaining traction among developers and operations teams, especially in cloud-native monitoring environments. In fact, Kubernetes – the de facto industry standard for deploying and operating containerized applications – comes bundled with Prometheus.

Network monitoring is a critical component of the modern IT industry. With a comprehensive network health and performance perspective, enterprise IT can proactively identify and fix possible issues, ensuring optimal network operation and reducing downtime. Unchecked, network failures can cause significant disruptions in business operations, lost productivity, and financial losses.