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.

Developing a native Android app is a challenging task that requires a deep understanding of the Android SDK, as well as programming languages such as Java or Kotlin. The process requires navigating various tools, frameworks, and APIs, each with its own rules. On top of that, you need to ensure compatibility and optimal performance across the diverse Android ecosystem, with its multitude of devices, screen sizes, and OS versions.

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.

In today’s economic and regulatory environment, data sovereignty is increasingly top of mind for observability teams. The rules and regulations surrounding telemetry data can often be challenging to interpret, leaving many teams in the dark about what kind of data they can capture, how long it can be stored, and where it has to reside. In the past, addressing these issues at scale was a costly endeavor.

In today’s complex data landscape, continuous profiling has become essential for detailed insights into application resource usage. Grafana Labs is now advancing this field with the introduction of Span Profiles in Grafana 10.3. The Span Profiles feature represents a major shift in profiling methodology, enabling deeper analysis of both tracing and profiling data. Traditional continuous profiling provides a system-wide view over fixed intervals.

FastAPI is a modern Python web framework based on standard Python type hints that makes it easy to build APIs. It's a relatively new framework, having been released in 2018 but has now been adopted by big companies like Uber, Netflix, and Microsoft. Using OpenTelemetry, you can monitor your FastAPI applications for performance by collecting telemetry signals like traces. FastAPI is one of the fastest Python web frameworks currently available and is really efficient when it comes to writing code.

Welcome to the first SigNal of 2024! It is a year that we’re looking forward to accomplishing great things. We recently crossed 16,000+ GitHub stars as we continue to be amazed by the support of the developer community in our mission of open-source observability. Let’s see what humans of SigNoz were up to in January 2024.

When you have questions about your software, telemetry data is there for you. Over time, you make friends with your data, learning what queries take you right to the error you want to see, and what graphs reassure you that your software is serving users well. You build up alerts based on those errors. You set business goals as SLOs around those graphs.