HG Heroku Monitoring
HG Heroku Monitoring is a full-scale platform that offers infrastructure, system, and application monitoring using a suite of open-source monitoring tools. You can easily do Heroku Java Monitoring with your Java apps that are running directly in Heroku.
HG Heroku Monitoring allows you to use either Prometheus- or Graphite-as-a-Service and have your metrics displayed on aesthetically-pleasing Grafana dashboards. Check out the add-on here, and install it in seconds!
Using HG Heroku Monitoring, you can understand complex systems at a glance because of its powerful monitoring capabilities. In this article, we will highlight everything you need to know to understand and use HG Heroku Monitoring for Heroku Java Monitoring.
Heroku Java monitoring
Heroku is a multi-language cloud application platform that enables developers to deploy, scale, and manage their applications without the need for servers or administration. It supports languages such as Ruby, Java, Node.js, Clojure, Python, PHP, Perl, and Scala.
The HG Heroku Monitoring add-on
The HG Heroku monitoring tool gives you an at-a-glance summary of your apps. It’s useful for real-time monitoring, detecting anomalies such as crashes or changes in resource consumption, and overall trends. Of course, it’s useful for Heroku Java monitoring as well.
HG Heroku monitoring dashboards are automatically built upon installing the app, making Heroku Java monitoring easier than ever.
Just log in and you’ll see the dashboard: it provides a complete overview of your apps, resources, and add-ons. It shows dyno activity, metrics (aggregated by process type), logs, and activities affecting your apps. The Dashboard can also notify you of potential problems and link you to relevant documentation resources.
The HG Heroku Monitoring dashboard displays the following metrics:
- Memory capacity and usage
- CPU load
- User-initiated events, such as configuration changes and dyno restarts
- Heroku platform events
Language Runtime Metrics
For a deeper look into your app’s specific runtime context, runtime metrics complement the Dashboard by adding language-specific metrics to help with debugging and optimizing your apps. Heroku collects runtime metrics for several languages including Java, Go, Node.js, and Ruby.
These metrics offer additional insights about your apps such as detailed memory allocation, garbage collection runs, and latency. For example, Node.js applications can report their time spent in garbage collection, garbage collection runs, event loop latency, and event loop blocks. These are automatically added to the dashboard after enabling language runtime metrics.
While they may use additional resources, enabling runtime metrics takes seconds. In the case of Java and Node.js, no code changes are required.
Monitoring via Add-ons using Java
Heroku’s native solutions definitely won’t fit your needs. You need to monitor more than just what Heroku provides you by default. Use HG Heroku Monitoring to get better monitoring functionality. Some of the functionality you can get on HG heroku monitoring is:
HG Heroku Monitoring can provide additional log management functionality such as searching, indexing, graphing, and creating alerts.
Application Performance Monitoring (APM) using Java Application
HG Heroku monitoring can provide an APM solution through their services such as Hosted Graphite and Hosted Prometheus. These add-ons let you gather more detailed application performance metrics including individual transaction times, database calls, cache hits, and time spent in various components. This can help you identify the cause of performance problems and errors.
For example, Graphite shows the following breakdown for a request traced through a Java app.
There are several ways for you to monitor your apps with cloud providers, like Heroku, whether it’s through detailed infrastructure metrics or logs. One can always go and use the HG Heroku Monitoring add-on. Get all of your Heroku Java Monitoring done with HG Heroku monitoring!