Free Atlassian Application Monitoring
Prometheus with Grafana- Never send a human to do a machine's job.
Many customers experience their application server’s performance slowing down during busy times and even sometimes during non-busy times. Is it the network? Is it the hardware? Is it the database behind the applications? Or a combination of all the above?
Performance monitoring by an external source is a necessary resource if you want to stay ahead of your server upgrades and especially if you want to get to the bottom of your server crash Root Cause Analysis.
It’s not just important to capture all the data of your application’s performance and alert you when it’s not right, you also need to find a way to display the data for us humans. Allow me to introduce you to Grafana. The best Open Source reporting tool for Prometheus data.
Stand up an open source, easy-to-set up monitoring solution using Prometheus server and Grafana for dashboards.
Solution 1 – Why you’ll love Prometheus:
Prometheus is an open-source system monitoring and alerting toolkit originally built at Sound Cloud.
Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community. It is now a standalone open source project and maintained independently of any company.
- Advanced reporting capabilities
- Fully customizable
- Turn-key templates, free download
- Build your own from scratch
- View statistics under failure conditions of your instance.
- Prometheus is great for forwarding the data to another system that will collect and analyzing data such as Grafana
- The main Prometheus server which scrapes and stores time-series data
- An alert manager to hand alerts and forward them to platforms like slack and Teams
- All platforms and just to name a couple, Linux, Azure, and AWS
- Show time-series data in panels that are customizable to your needs
Solution 2 – Why you need Grafana
Maximize the power of Promethaus by using Grafana dashboards. What good is effort if the results cannot be easily accessed.