Are you sick of switching between tools when trying to keep track of customer support tickets?
With Railtown.ai, you can integrate your Azure DevOps records together with your customer support tickets to keep track of all relevant bugs, customer queries, and debugging efforts in one simple interface. Both your developer and customer support teams can work more efficiently and easily communicate while improving application performance and customer satisfaction.
In this guide, we will cover the following topics:
By integrating your Azure DevOps together with Railtown.ai’s ticketing system and error monitoring, you can increase your team’s productivity and gather intelligent insights to improve your code.
Let’s take a look at some key ways in which this integration could improve your workflow.
By combining your engineering team’s work items in one place, you can make sure that no bugs slip through the cracks.
Railtown.ai can pull all of your development ticket information and add it into one simple and comprehensive interface. Once tickets are in the system, you can match each ticket to any other related inquiries and to the relevant code that’s producing errors within your applications.
Then, you can leverage Railtown.ai’s AI capabilities to gain full visibility into what may actually be going wrong with your code. Instead of depending on isolated incident reports, you can see all the connections between different error reports and customer complaints. That way, your engineers can push fixes to address the underlying causes of individual bugs.
By integrating developer work items with customer support tickets, you can ensure that both departments are communicating to deliver the best outcomes to your end users.
Railtown.ai integrates with Azure DevOps to provide both your Engineering and Support Teams with full visibility and transparency onto ongoing progress and issues. Now your customer support team members can notify developers of bugs by creating corresponding Azure DevOps work items. At the same time, your developers can see all customer conversations associated with a bug or issue.
Through this enhanced communications your teams can truly collaborate to resolve issues as quickly as possible, without either team having to leave their familiar tools.
By synchronizing all the relevant information between your tools, your team can create a single source of truth while addressing any issues within your code.
Your team can judge the quality of your code with information such as:
With this comprehensive overview into the state of your application, your team can take any corrective measures that they need to resolve issues.
The whole resolution process becomes simpler as you can adapt Railtown.ai’s insights to your existing workflows. For example, you could:
Figure out the root cause of bugs and resolve issues with better insights.
Railtown.ai can pull together DevOps work items, error logs, and customer support tickets to then analyze how each error impacts your application and prioritizes them as they appear. These AI-generated insights can help you faster pinpoint the root cause of any error and its full scope within your code.
Our machine learning can help you figure out:
Using this information, you can identify the source of an error in minutes instead of hours, all without leaving Railtown.ai’s dashboard.
Screenshot of Railtown.ai showing an error bucket and how it is connected to active tickets that are related to this error / bug.
This is how error buckets are connected to both tickets for fixing it but also tickets that produced errors. Shows ticket name, assigned team member, status, change match.
A full view into any bugs affecting your application as well as the customer complaints submitted can help both your engineering and support teams address issues faster and more efficiently. By integrating your Azure DevOps with Railtown’s ticketing system you can make sure that every bug is recorded, traced, and resolved once and for all.
In today's world, even a single application error could have significant consequences for both businesses and individual developers. From lost revenue and damaged reputation to disrupted services and frustrated customers, the cost of not addressing bugs in your code can be quite high.
Railtown.ai helps you gather the information you need to efficiently resolve an error, but by combining our application with other tools can take your developer workflow to the next level. So today, we’d like to go through 2 popular tools that we recommend for expanding your team’s capabilities: New Relic and Azure Application Insights.
Too many software development teams treat error logging as a burden rather than a chance to grow.That’s why Jeli’s “Howie: Post-Incident Guide” felt like a breath of fresh air. In the guide, Jeli’s team notes that negative treatment of bugs is everywhere, including the language we use to describe software development. Terms like “post-mortem” and “root-cause analysis” speak for themselves.We’d like to build on the suggestions put forward in Howie and share our perspective on error logging as well. So let’s take a look at how a small mindset shift around debugging could encourage more positive moments in your team.