Python Application Performance Monitoring

Get powerful insights into Python performance metrics, down to the code

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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.

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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.

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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.

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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.

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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.

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Python Application Performance Monitoring

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