Gain detailed insights into your application's health by tracking the "Golden Signals" of monitoring: latency, throughput, error rates, and resource saturation. Track key performance metrics, like Apdex scores, response times, and unhandled exceptions, to diagnose potential bottlenecks and issues that may hinder application performance.
Automatically detect N+1 database queries that significantly slow down response times in popular ORMs like SQLAlchemy and Django. Gain deep code-level visibility to easily find and eliminate the root causes of sluggish database transactions across frameworks like FastAPI, Flask, and Django before they impact user experience.
Leverage the open-source industry standard with seamless OpenTelemetry Python instrumentation. Collect traces, metrics, and logs from your Python services and send them directly to Site24x7 for complete, vendor-agnostic observability into your cloud-native workloads.
Automatically trace requests as they travel through complex Python microservices. Connect logs, metrics, and errors back to individual distributed transactions to rapidly identify the root cause of high latency or application failures across service boundaries.
Integrate APM Insight with Real User Monitoring (RUM) to gain a comprehensive picture of your application's behavior. Analyze and make detailed comparisons of web pages in various time frames and locations. Detect and record JavaScript code faults. View precise analytics of network, front-end, and back-end response times while keeping track of specific web transactions.
Flask
Gevent
Waitress
PyMySQL
Psycopg2
SQLite3
Memcached
Cassandra
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