Python Error and Performance Monitoring
Prevent downtime and user complaints by catching errors in your Python deployment early.With Railtown.ai, you will never have to guess the root cause of any bugs again. Instead, use automatic analysis to quickly find any performance issues within your application. Detect and address inefficiencies in your Python code with extensive performance monitoring capability. Railtown.ai’s Python performance monitoring provides you with automated alerts and intelligent insights so you can continuously optimize your software.
Learn more by visiting our product page here.
Compare plans & features
Individual developers
Teams
Enterprise
Access
Capacity
50G
100G
150G
Members
Just you
20
100
Supported environments
Local + 1 deployed
Full CI/CD
Full CI/CD
Numbers of projects
1
30
80
Features
Notification on errors
Advanced error tracking and bucketing
AI algorithm for error matching
Sensitive data detection & alerts
Productivity dashboards
Customization
Security
Permission groups
Advanced permissions
Single SSO
Support
Priority, 24/7 support
Dedicated manager
Custom contract & invoicing
Reclaim your productivity with AI and improve your code faster and more efficiently. Use Railtown.ai’s Python error collector to:
View benefits
Ensure that all of your class instance attributes are behaving as expected without manually calling up methods to track unintended changes. Diagnose and prioritize specific issuing during the debugging process with smart clustering. Improve efficiency during debugging with AI-powered insights.
You can see whether an error is appearing for the first time or if it’s repeated before, as well as match errors across tickets, builds, and deployments.
Track errors across the entire CI/CD environment with a single tool.Look through the complete error history and determine the root cause behind each error. Connect the dots with reports on the full scope of the issue and any parts of the applications affected by it.
Test your code to see whether a fix has actually resolved the underlying issue you were trying to solve. Look through all relevant context into your Python errors grouped together in one easy to navigate dashboard for faster and more intuitive analysis.
Learn more by visiting our product page here.
Our platform tracks errors across the entire pipeline from your developer environment into production. Act based on AI-powered recommendations to detect any Python errors as early as possible, even before the code is deployed to your users.
Learn more by visiting our product page here.
As cloud deployment becomes more popular, the efficiency of your code matters more than ever. Stay on top of the performance of your Python code.
Use automated alerts to direct your attention even to places you might not expect.
Resolve errors quickly without spending hours sifting through hundreds of error logs just to figure out which code is causing the error.
View benefits
Integrate with your existing products and get reports delivered to your email.
View benefits
Deploy more codes in less time with railtown.ai. Get started now.
Still have questions?
Here are just a few of the things people frequently ask about railtown.ai. If you don't see your question here, please see all FAQs or get in touch with us.
Who is railtown.ai for?
railtown.ai is for anyone who uses .NET in their development stack. Whether you’re building web applications or services, use it for your frontend or backend; railtown.ai is for you. By connecting error logs, ticketing data and CI/CD (DevOps) systems, railtown.ai aims to increase developer productivity and developer velocity so that you can focus on what you can do best - building business-critical applications.
Why did you build railtown.ai?
As software engineers ourselves, we know how critical it is to know about a new error before it makes its way to production and is discovered by your customers. Not all errors should be treated equally. Some errors are critical and should be addressed immediately, and others can wait. What we have learned along the way is that first-time errors are business-critical. To quickly jump right in and have all the error context at your fingertips is something that can help provide excellent customer service and user experience. Quickly sifting through thousands of errors to identify patterns, our AI and machine learning algorithms are built to make the root cause analysis a breeze without the need to write complicated queries.
A significant chunk of developers’ time (up to 40%) is spent gathering context for an error, not resolving it. Having all errors being bucketed (grouped) saves developers and their superiors a lot of time and frustration.
How will I know if there is an error in one of my applications?
Once railtown.ai is integrated, you will get a notification via your channel of choice. We currently support Slack, Microsoft Teams, email and any integration set up using Zapier (PagerDuty etc.)
How will I get notified about errors?
Once railtown.ai is integrated, you will get a notification via your channel of choice. We currently support Slack, Microsoft Teams, email and any integration set up using Zapier (PagerDuty etc.)