Kinsta charges for Application Hosting based on bandwidth, build time, and application hosting pod usage. With Application Analytics, you can get insights into your application’s usage data. To access these in-depth reports, go to your application’s Analytics page.
Analytics shows you data usage, runtime, and build time for your application, as well as the CPU and memory usage for your processes.
You can choose to see data for the past 24 hours, 7 days, 30 days, or the current billing cycle (Current month in the dropdown menu).
If you highlight a specific point in time on a graph, it will show you some comparison data, such as the percentage difference between each day.
Bandwidth
The bandwidth chart shows the total egress data your application has transmitted. Note: We only charge for egress (traffic from the application to the user); we do not charge for ingress (traffic coming into your application).
Build time
The build time chart shows you the total time spent building the application.
Runtime
In the runtime report, you can see the total time the application has been running after being built and deployed, with each process and its associated pod size in a separate row.
Processes
Under the Processes section, you can view charts for CPU usage and memory usage for each of your application’s processes.
CPU usage
In the CPU usage chart, you can see the average of the total CPU utilization for the selected time period, expressed as a percentage of the instance’s CPU resources. If you see a high percentage of CPU usage (near 100%), we recommend upgrading to an application hosting pod with more CPU for that process.
Memory usage
The memory usage chart shows the average of the total memory (RAM) used for the selected time period. If a process uses most or all of the memory available, we recommend upgrading to an application hosting pod with more available memory.
Additional Notes
Analytics data is retained for 30 days. We suggest checking your Application Analytics frequently after first deploying to Kinsta and periodically after that. If you see any unexplained analytics data or inconsistency that concerns you, let our Support team know, and we can further investigate to help determine the cause.