By integrating with your ticketing system and tracking the average time it takes to resolve a ticket, we can help you discover what gaps a new developer has and highlight them. This way, you can provide timely coaching and mentorship so that all your software developers are highly efficient and effective. We have seen up to a 47% reduction in onboarding time.

No code modification is required. Install our NuGet packages, add the configuration to your app's settings and within a couple of minutes, we'll be capturing all of your logs.

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.)

Yes. railtown.ai can help enterprise teams increase their effectiveness and efficiency by detecting, diagnosing, and resolving critical errors early on in the software development life cycle of a web application or service. Another significant advantage for enterprise teams is railtown.ai’s ability to highlight experience gaps and provide insights into what tickets and stories need attention from software development managers.

Yes. railtown.ai was started when our CTO Marwan got tired of using multiple tools to detect, diagnose and resolve errors in his application. He was all by himself and created railtown.ai for himself initially. After he saw how productive he became, he decided to develop further and productize the system. The majority of our early adopters are freelancers and consultants. If you find yourself scrolling through log files frequently, railtown.ai is for you.

Yes. railtown.ai can help small software development teams spend less time resolving errors and more time building business-critical features. Another benefit of using railtown.ai in your software development lifecycle is its ability to highlight inefficiencies with ticket and stories distribution and detecting errors early on local development machines.

You are in the right place. railtown.ai relies on sophisticated AI and machine learning algorithms that help us bucket your errors. Moreover, railtown.ai also tracks errors across different development environments and always notifies about errors that haven’t been seen before.

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.

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.

- Sign up for railtown.ai by clicking here or using the button above

- Install one of our NuGet packages depending on your logging framework (Serilog, log4net or NLog)

- Connect your ticketing system (GitHub, Azure DevOps, Jira or others)

- Integrate your build environments

railtown.ai analyzes your application’s error logs and helps you identify, diagnose and resolve errors before they are visible to your end-users.

Yes. railtown.ai is running on Windows Azure. Windows Azure services and applications are highly available and distributed across all continents in the world.

Currently, we support Jenkins, CircleCI and Azure DevOps but also are building further integrations.

railtown.ai supports Serilog, NLog and log4net out of the box. As more programming languages are added, we will be extending our support for other logging frameworks.

Currently, railtown.ai fully supports C# with the Microsoft .NET framework (and its variations such as .NET Core, .NET Standard etc.). Our roadmap includes support for all major programming languages and frameworks, including but not limited to JavaScript (and all different flavours of it such as TypeScript, CoffeeScript etc.), Java, Ruby on Rails and others.

At the moment, we integrate with GitHub, Azure DevOps and Jira (Atlassian) but will be adding further integrations.

Yes. Every error logged from your application is sent to railtown.ai through a secure HTTPS connection. The railtown.ai application runs on HTTPS only. Your error logs are stored in data centres compliant with Canadian privacy laws, which are some of the strictest in the world. You can be sure that your data is kept safe at all times.

railtown.ai works by examining stack traces and other text in your application’s logs; it doesn't require access to your application’s source code. When you integrate railtown.ai with your build server, that tells us when you've produced a new build or released it to a new environment, but it doesn't show us your commits.

You should never share your API key with anyone outside your company (even with railtown.ai’s team). API keys are used to authenticate and authorize access to railtown.ai’s API.