Python Application Performance Monitoring
Get powerful insights into Python performance metrics, down to the code
Get powerful insights into Python performance metrics, down to the code level
SolarWinds® Observability is an integrated, full-stack observability solution, so you can take a holistic view of Python application performance. SolarWinds Observability supports OTeL (Open Telemetry) and provides a Python library to deliver automatic tracing, spans, and metrics for Python-based applications. Through real-time Python-specific metrics, service maps, and interactive graphs, you can better understand the performance impact of individual database queries, remote calls, frameworks, and more.
Get the metrics you need to track Python applications
Python is a popular and scalable programming language, and it’s important to have a monitoring tool for comprehensive performance insights for all your Python-based applications. Choose built-in or easily build custom metrics in SolarWinds Observability to track whether Python applications are functioning properly for end users in real-time or over a specific time interval. Use the unified, interactive dashboards to understand related infrastructure and resource issues. Plus, you can set threshold-based alerts to send notifications over Slack, Teams, email, and other platforms.
Drill down into Python application performance issues
SolarWinds Observability provides an overview of Python performance while offering a streamlined way to drill down on specific issues. SolarWinds Observability uses powerful distributed tracing to follow the path of each transaction request—including across internal services and APIs—to pinpoint how individual services are impacting your end users. The trace-level root cause summaries are designed to tell you what the most likely cause is for a slow transaction. The detailed waterfall trace helps you visualize the end-to-end behavior of individual requests and drill down to the line of Python code causing issues with just a few clicks.
Visualize application bottlenecks with a detailed service map and summaries
SolarWinds Observability includes an auto-instrumented service map designed to make it easy to chart the relationships and dependencies across your applications and services. Are queries from a Python application slowing down database performance for the rest? SolarWinds Observability helps give you a clearer understanding of how your services are connected to each other and to the underlying infrastructure. At the same time, you can use the summary views and drill-downs to accelerate the troubleshooting process, so you can spend less time diagnosing Python issues and more time fixing them.
Dashboards for performance monitoring aligned with your deployment
Whether you work in development, operations, or management, SolarWinds Observability gives you straightforward and collaborative tools to effectively monitor the performance of Python applications. With metrics and dashboard views designed for Python, SolarWinds Observability allows you to cross-reference different application, infrastructure, and business metrics and gain a deeper understanding of how to rectify your performance issues.
Get More on Python Performance
Python Application Performance Monitoring
What is Python application performance monitoring?
Python application monitoring refers to the process of monitoring the performance of Python applications to quickly identify issues and maximize reliable availability. Many business transactions happen via web applications written in Python, and as computing environments become increasingly complex and distributed, having a powerful and affordable Python application monitoring solution becomes necessary.
SolarWinds Observability is an application performance monitor (APM) tool with a Python Agent designed to enable critical visibility into your applications. Properly monitoring all the moving parts in today’s complex networks requires an efficient software solution, and Observability provides a holistic view of your application and infrastructure performance and health. The intuitive interface lets you drill down from your entire infrastructure to the line of code causing performance issues quickly—ultimately helping you identify and resolve issues faster.
Why is Python performance monitoring important?
Many web applications comprise smaller microservices, and Python has become one of the more commonly used microservice application development languages. However, it’s not known as the fastest programming language, so monitoring your applications’ efficiency is paramount. Proactive web application monitoring requires monitoring the performance of Python-specific features, including automatic memory management and strong dynamic typing.
SolarWinds Observability tracks and analyzes information about how your Python application and microservices are running, giving you the visibility needed to more effectively resolve issues and improve stability. The combined application and infrastructure monitoring helps you see your entire infrastructure from a single pane of glass, and powerful distributed tracing can help you quickly pinpoint the root cause of performance issues. You can also map application and service dependencies to see how individual applications are affecting the performance of other services on your network.
Python Application Performance Monitoring
- What is Python application performance monitoring?
- Why is Python performance monitoring important?
What is Python application performance monitoring?
Python application monitoring refers to the process of monitoring the performance of Python applications to quickly identify issues and maximize reliable availability. Many business transactions happen via web applications written in Python, and as computing environments become increasingly complex and distributed, having a powerful and affordable Python application monitoring solution becomes necessary.
SolarWinds Observability is an application performance monitor (APM) tool with a Python Agent designed to enable critical visibility into your applications. Properly monitoring all the moving parts in today’s complex networks requires an efficient software solution, and Observability provides a holistic view of your application and infrastructure performance and health. The intuitive interface lets you drill down from your entire infrastructure to the line of code causing performance issues quickly—ultimately helping you identify and resolve issues faster.
Choose SolarWinds Observability for Powerful Python Application Monitoring
