Falcon is a minimalist Python web API framework for building robust applications and microservices. It also compliments many other Python frameworks by providing extra reliability, flexibility, and performance. Using OpenTelemetry, you can monitor your Falcon applications for performance by collecting telemetry signals like traces. Instrumentation is the biggest challenge engineering teams face when starting out with monitoring their application performance.

Are you looking for a Dynatrace alternative? Then you have come to the right place. In this article, we will go through the top 9 Dynatrace alternatives. First, let's briefly discuss what Dynatrace offers and why you might consider other solutions. Dynatrace is a leading observability and application performance management (APM) platform, providing deep insights into application performance and reliability.

Django is a popular open-source python web framework that enables rapid development while taking out much of the hassle from routine web development. It also helps developers to avoid common security mistakes. As such, many applications are built with Django. Django is very popular among web developers and has a huge community behind it. It gives web developers ready-to-use components for common things that you will need to accomplish for a web application.

Choosing the right API monitoring tool is critical. How do you know which is the right API monitoring tool for you? Here are the top 17 API monitoring tools, including open source tools for API performance monitoring. In this article, we will review the top 17 API monitoring tools which you can use for monitoring your APIs. But first, let’s have a brief overview of APIs.

Grafana and Splunk are both used as monitoring tools. But while Grafana is majorly used as a data visualization tool, Splunk is an enterprise security and observability platform. Monitoring tools are essential for any business that wants to have visibility into its IT infrastructure. They provide real-time data that can be used to identify and troubleshoot problems. Grafana and Splunk are two of the most popular monitoring tools on the market. So, which one is better for your business?

Both DataDog and Prometheus are application monitoring tools aimed to improve application performance. While Datadog is a cloud-based SaaS solution, meaning there's no need to install or maintain any infrastructure, Prometheus is an open-source tool that requires manual download and installation on your infrastructure. Let us compare DataDog and Prometheus to see which tool suits The biggest difference between Datadog and Prometheus is that while Prometheus is open-source, Datadog is proprietary.

Nestjs is a Nodejs framework for building scalable server-side applications with typescript. It makes use of frameworks like Express and Fastify to enable rapid development. It has gained wide popularity in recent times, and many applications are making use of the Nestjs framework. Using OpenTelemetry client libraries, you can monitor your Nestjs application. Monitoring your Nestjs application is critical for performance management.

Spans are fundamental building blocks of distributed tracing. A single trace in distributed tracing consists of a series of tagged time intervals known as spans. Spans represent a logical unit of work in completing a user request or transaction. Distributed tracing is critical to application performance monitoring in microservice-based architecture. Before we deep dive into spans, let's have a brief overview of distributed tracing.

Both Kibana and Grafana are data visualization tools providing users capabilities to explore, analyze and visualize data with dashboards. The difference between Kibana and Grafana lies in their genesis. Kibana was built on top of the Elasticsearch stack, famous for log analysis and management. In comparison, Grafana was created mainly for metrics monitoring supporting visualization for time-series databases.