Applications are an important part of our life as we use it for our day to day tasks like online shopping, ordering food, cab booking and lots of like this. So many businesses are creating apps to deliver the best service to their customers. Hence it is also important to develop the best performing app. Only developing the best performing app is not sufficient, it is also important to monitor the app performance and make changes accordingly. But how could you monitor the app performance? Here comes the need of App performance monitoring tool.
App performance monitoring tools can reduce management burden, provide single platform to manage the burden by managing all the apps instead of managing and troubleshooting every app individually. It also ensures the issues related to app performance are defined and identified. App performance can be monitored or tracked using various categories like load time, response time and apdex score. Here we’ll discuss the best app performance monitoring tools. But before diving into the app performance monitoring tools, let’s see what app performance monitoring is.
Also know- Best Tips to improve your mobile App performance
What Is App Performance Monitoring?
App performance monitoring encompasses controlling overall performance, including code, app dependencies, transaction timings and user experience. One can observe the instances where users encountered problems and why it happened by using the warning issued to monitoring tool. It gives you a complete insight into app performance, helping DevOps teams to identify problems and preparing to respond to similar issues in the future. Here are the components of the application performance management solution.
- Basic server metrics
- Custom application metrics
- Application server metrics
- Detailed transaction trace
- Individual performance web request
- Performance use and performance
- Code level performance profiling
- Application error
- Application log data
Tips To Select Best App Performance Monitoring Tool-
Traditionally, app performance management solutions were available only to large businesses and were used to track business transaction. But, in recent years, APM tools have grown more inexpensive and essential for all enterprises. APM technologies have become an important aspect of DevOps initiatives.
Important things to consider-
- SaaS vs On-premises
- Cloud support
- Pricing
- Programming language
- Ease of use
Let’s see App performance monitoring tool list.
Top 10 App Performance Monitoring Tools-
1. AppDynamic Application Performance Monitoring-
Started in 2008, it provides automated cross-stack intelligence for BI and app performance monitoring. According to Gartner’s study report, AppDynamics was rated APM leader for the 9th time. Product suits like End user monitoring, Infrastructure visibility, business performance, app performance make up the AppDynamic Platform. Here are spem of the features of AppDynamic-
- End to end transaction tracking
- Code level visibility
- Languages support: Java, .Net, Node.js, Python, C++
- Dynamic baseline and alerting
2. New Relic Application Performance Monitoring-
Since 2008, it has swiftly expanded and evolved into an essential tool for programmers, business executives and IT support teams. Now it supports customers and helping them in improving the performance of their applications. Also it offers APM for mobile apps, infrastructure monitoring, advanced browser performance monitoring etc. Here are some of the great features of Relic-
- App monitoring performance trends at a glance
- Performance tracking of individual SQL statements
- Code level diagnostics
- Cross app tracing
- Languages- Ruby, node.js, PHP, Go, .NET, Java
- Monitor critical business
3. Scout(SolarWinds)-
It delivers auto-discovered topological visualizations of programs and their components by using its agent. You might need more time to learn so you may have to wait until enough data points have been collected before you stop getting false positives. Here are some of the great features of Scout-
- Memory leak detection
- Automatic Dependencies Population
- Languages: Ruby on Rails
- Github integration
- Slow database query analysis
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