Sentry Provides Performance Monitoring for Python and JavaScript
July 14, 2020
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Sentry provides agentless frontend performance monitoring for Python and JavaScript.

With a focus on code and developers, Sentry enables engineering and development teams to more quickly identify performance issues by tracing them to poor-performing API calls along with related errors—all with just five lines of code.

With Performance Monitoring by Sentry, engineering managers and developers now have a solution to resolve performance bottlenecks and deliver fast, reliable, and personalized customer experiences that drive business value. Within minutes, they can trace issues back to a poor-performing API call and surface trends to help them proactively prevent future performance issues, saving time and dramatically reducing costs.

“As more organizations go digital, it is important to know how your code is doing in production and not just if your systems are operational. Developers need a more direct line to the customer experience and related issues,” said Milin Desai, CEO, Sentry. “Sentry is the only platform that enables software teams to easily trace issues related to errors in code, identify performance problems, and surface trends in code quality, all while integrating seamlessly into your development tool stack. This reduces time to resolution from days to minutes, frees up developer cycles, and ensures satisfied, returning customers.”

Sentry Performance arms engineering and development teams with:

- Application Health Insights: Quickly understand customer satisfaction based on your application’s response time to their interactions with live updating latency and throughput data. Compare slow response times, increases in transactions, and error rates to scientifically diagnose and fix all performance issues.

- Transaction Summary: View transactions sorted by slowest duration time, related issues, and the number of users having a slow experience in one consolidated view. Enable release markers for a second layer of context to gauge how your users react to new code pushed to production. Also, track business-critical parts of your application with Key Transactions.

- Root Cause Analysis: Easily identify and understand differences in characteristics between outliers and normal performing transactions with superior drill-down capabilities and user-friendly visualizations.

- Tracing: Leverage end-to-end distributed tracing to reveal the exact DB query that caused an error or performance issue.

- Performance Alerts: See how crashes contribute to performance and set thresholds to get alerted if performance metrics fall past a predefined tolerance band. Drill down into transaction details within tracing waterfalls, which visually highlight API call times in relation to expected operations and device data, to quickly identify which API calls are giving customers poor experiences.

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