Sentry supports every major language, framework, and library. You can browse each of them here."
}
},
{
"@type": "Question",
"name": "How much does Sentry cost?",
"acceptedAnswer": {
"@type": "Answer",
"text": "
You can get started for free. Pricing depends on the number of monthly events, transactions, and attachments that you send Sentry. For more details, visit our pricing page."
}
},
{
"@type": "Question",
"name": "How does Sentry impact the performance of my app?",
"acceptedAnswer": {
"@type": "Answer",
"text": " Sentry doesn’t impact a web site’s performance. If you look at the configuration options for when you initialize Sentry in your code, you’ll see there’s nothing regarding minimizing its impact on your app’s performance. This is because our team of SDK engineers already developed Sentry with this in mind. Sentry is a listener/handler for errors that asynchronously sends out the error/event to Sentry.io. This is non-blocking. The error/event only goes out if this is an error. Global handlers have almost no impact as well, as they are native APIs provided by the browsers."
}
}
]
} Actionable insights to resolve Python performance bottlenecks and errors. See the full picture of any Python exception so you can diagnose, fix, and optimize performance in the Python debugging process. Grab the Sentry Python SDK: Configure your DSN: Grab the Sentry Python SDK: Configure your DSN: Check our documentation for the latest instructions. Within minutes after installing Sentry, software teams are able to trace Python performance issues back to a poor performing API call as well as surface all related code errors. Engineering Managers and Developers now have a single tool to optimize the performance of their code and deliver fast customer experiences. See local variables in the stack for prod errors, just like in your dev environment. Introspect more deeply into the runtime and jump into the frame to get additional data for any local variable. Filter and group Python exceptions intuitively to eliminate noise. Expose the important events that led to each Python exception: SQL queries, debug logs, network requests, past errors. Improve debugging workflow with a full view of releases so you can mark errors as resolved and prioritize live issues. Profiling lets you see what parts of your code are consuming the most resources, like CPU or memory, in your application— so you can optimize them before end user experience is impacted. Test your application performance in any environment, including in production, without writing manual tests or extensive troubleshooting. Quickly isolate Code Coverage for Python bugs to see where testing could help fix the bug before release with our Codecov integration. ”The time to resolve errors went from days to minutes.” Aggregate errors by details like HTTP request, hostname, and app version to see what’s new, a priority, or a trend. Assign custom tags to reproduce the error environment specific to your application, business, and users. Answer the most important questions: In which app release did the Python bug occur? Was it the kraken? Sentry supports every major language, framework, and library. You can browse each of them here. You can get started for free. Pricing depends on the number of monthly events, transactions, and attachments that you send Sentry. For more details, visit our pricing page. Sentry doesn’t impact a web site’s performance. If you look at the configuration options for when you initialize Sentry in your code, you’ll see there’s nothing regarding minimizing its impact on your app’s performance. This is because our team of SDK engineers already developed Sentry with this in mind. Sentry is a listener/handler for errors that asynchronously sends out the error/event to Sentry.io. This is non-blocking. The error/event only goes out if this is an error. Global handlers have almost no impact as well, as they are native APIs provided by the browsers. Here’s a quick look at how Sentry handles your personal information (PII). We collect PII about people browsing our website, users of the Sentry service, prospective customers, and people who otherwise interact with us. What if my PII is included in data sent to Sentry by a Sentry customer (e.g., someone using Sentry to monitor their app)? In this case you have to contact the Sentry customer (e.g., the maker of the app). We do not control the data that is sent to us through the Sentry service for the purposes of application monitoring. We may disclose your PII to the following type of recipients: You may have the following rights related to your PII: If you have any questions or concerns about your privacy at Sentry, please email us at [email protected]. If you are a California resident, see our Supplemental notice.
Python Error and Performance Monitoring
pip install --upgrade sentry-sdkimport sentry_sdk
sentry_sdk.init(
"https://<key>@sentry.io/<project>",
# Set traces_sample_rate to 1.0 to capture 100%
# of transactions for Tracing.
# We recommend adjusting this value in production.
enable_tracing=True,
traces_sample_rate=1.0,
)Getting Started is Simple
pip install --upgrade sentry-sdkimport sentry_sdk
sentry_sdk.init(
"https://<key>@sentry.io/<project>",
# Set traces_sample_rate to 1.0 to capture 100%
# of transactions for Tracing.
# We recommend adjusting this value in production.
enable_tracing=True,
traces_sample_rate=1.0,
)How to install the Python SDK
More than 100K Organizations Trust Sentry with Their Application Monitoring
Python Performance Monitoring
Python Error Monitoring with Complete Stack Traces
Fill In the Blanks About Python Errors
Python Profiling
Understand Where Tests Could Prevent Your Python Regressions
Debugging Any Python Exception
FAQs
Resolve Python errors with max efficiency, not max effort
A peek at your privacy
Who we collect PII from
PII we may collect about you
Tell me moreHow we use your PII
How exactly?Third parties who receive your PII
What do they do?We use cookies (but not for advertising)
How can I choose?Know your rights
What can I do?
