What is Google Cloud service
appenginereporting.googleapis.com ?
Google will activate the
service appenginereporting.googleapis. on all App
Engine projects by April
17, 2023. `appenginereporting.googleapis.com`
is a Google Cloud service that provides reporting and analytics for Google App
Engine applications. It allows developers to monitor and analyze data related
to the performance, usage, and errors of their App Engine applications. This
service provides various types of reports such as latency, request logs, and
usage statistics that can be used to optimize and improve the performance of
App Engine applications.
Google App Engine was launched in 2008 as a
platform for developing and hosting web applications in Google-managed data
centers. It's possible that the reporting and analytics service for App Engine
applications, `appenginereporting.googleapis.com`, was introduced later as a
feature to help developers monitor and optimize their applications.
What
are its Benefits?
The `appenginereporting.googleapis.com`
service has several benefits for developers who are using Google App Engine to
build and host their web applications. Here are some of the key benefits:
1.
Performance monitoring: The service provides detailed reports on the
performance of your application, including response times, latency, and errors.
This information can be used to identify bottlenecks and optimize your
application for better performance.
2.
Usage analytics: The service provides usage statistics for your application,
including the number of requests, the amount of data transferred, and the
number of active users. This information can be used to understand how your application
is being used and to make informed decisions about scaling and resource
allocation.
3.
Error reporting: The service provides detailed reports on any errors or
exceptions that occur in your application. This information can be used to
identify and fix bugs, improve the reliability of your application, and enhance
the user experience.
4.
Customizable dashboards: The service allows you to create custom dashboards to
monitor the specific metrics that are important to your application. This can
help you focus on the metrics that matter most to your business and make
data-driven decisions.
5.
Integration with other Google Cloud services: The service integrates with other
Google Cloud services, such as Stackdriver Logging and Stackdriver Trace, to
provide a comprehensive view of your application's performance, usage, and
errors.
Is
it free or Paid?
The `appenginereporting.googleapis.com`
service is part of the Google Cloud Platform (GCP) suite of services, and
Google Cloud Platform offers both free and paid plans.
Google Cloud Platform offers a free tier that
includes a limited amount of usage of some of their services, including Google
App Engine. However, once you exceed the free tier usage limits, you will need
to pay for additional usage according to Google's pricing structure.
For the `appenginereporting.googleapis.com`
service specifically, you can view the pricing details on the Google Cloud
Platform website. The pricing for the service is based on the number of
requests, amount of data processed, and other factors.
So, while the
`appenginereporting.googleapis.com` service may be available for free up to a
certain usage limit, additional usage will likely incur charges according to
Google's pricing structure.
Google
Cloud Service appenginereporting.googleapis.com is parallel to Google
Analytics?
App Engine Reporting API provided by Google
Cloud is a parallel platform with Google Analytics in that it allows you to
programmatically access reporting data for your App Engine applications. This
can include metrics such as request latency, CPU usage, and request counts.
Google Analytics, on the other hand, is a web analytics service that provides
insights into website traffic and user behavior. While there is some overlap in
terms of the data that can be analyzed, these are two separate services
provided by Google with different purposes and capabilities.
For the `appenginereporting.googleapis.com`
service specifically, you can view the pricing details on the Google Cloud
Platform website. The pricing for the service is based on the number of
requests, amount of data processed, and other factors.
So, while the
`appenginereporting.googleapis.com` service may be available for free up to a
certain usage limit, additional usage will likely incur charges according to
Google's pricing structure.
Example
Here an example of how the App Engine
Reporting API can be used:
Suppose you have an App Engine application
that is experiencing increased latency for requests. You want to identify which
requests are causing the issue and which endpoints are affected. Using the App
Engine Reporting API, you can programmatically access the request latency data
for your application and analyze it to identify the problematic requests.
Here are the steps you could follow:
1.
Authenticate and authorize your API request using a service account with the
necessary permissions.
2.
Use the App Engine Reporting API to retrieve the request latency data for your
application.
3.
Analyze the data to identify the requests with the highest latency and which
endpoints they are associated with.
4.
Determine the root cause of the latency issue and take appropriate action to
address it.
What
other types of data can be accessed using the App Engine Reporting API?
By using the App Engine Reporting API, you
can automate this process and quickly identify and address performance issues
in your application.
In addition to request latency data, the App
Engine Reporting API provides access to a variety of other data related to your
App Engine applications. Some examples include:
1.
CPU usage data: This includes data on the amount of CPU time used by your
application and its services.
2.
Memory usage data: This includes data on the amount of memory used by your
application and its services.
3.
Request count data: This includes data on the number of requests made to your
application and its services.
4.
Error data: This includes data on the types and frequency of errors encountered
by your application and its services.
5.
Instance data: This includes data on the number and type of instances running
in your application and their utilization.
6.
Network data: This includes data on the amount of inbound and outbound network
traffic generated by your application and its services.
These data types can be useful for monitoring
and optimizing the performance and resource utilization of your App Engine
applications.
