Google Error Reporting
Author: Ronald Fung
Creation Date: 13 June 2023
Next Modified Date: 13 June 2024
A. Introduction
Error Reporting aggregates and displays errors produced in your running cloud services. Using the centralized error management interface, you can find your application’s top or new errors so that you can fix the root causes faster.
You can report errors from your application by sending them directly to Cloud Logging with proper formatting or by calling an Error Reporting API endpoint that sends them for you. The setup process depends on your platform; for instructions, see Setup guides.
To report errors from Android and iOS client applications, we recommend setting up Firebase Crashlytics.
B. How is it used at Seagen
As a biopharma research company, Seagen can benefit from using Google Cloud Error Reporting for their error tracking and reporting needs. Here are some ways Seagen can use Google Cloud Error Reporting:
Migrating from Microsoft Azure: Seagen can migrate their existing error reporting configurations from Microsoft Azure to Google Cloud Error Reporting by exporting the configurations from Azure and importing them into Google Cloud Error Reporting. This can be done using the Google Cloud Error Reporting API or other migration tools.
Collecting and analyzing errors: Seagen can collect and analyze errors from their applications, virtual machines, and other resources running on Google Cloud Platform. They can use Google Cloud Error Reporting to aggregate and search errors, and can use Google Stackdriver Trace to analyze performance traces and errors.
Monitoring and alerting: Seagen can monitor their errors and receive alerts in real-time using Google Cloud Error Reporting. They can set up custom alerts based on specific error types or resource types, and can receive notifications via email, SMS, or other channels.
Managing access and permissions: Seagen can manage access and permissions to their error data using Google Cloud IAM. They can define roles and permissions for different users and groups, and can control access to error data based on resource type, location, or other attributes.
Integrating with other Google Cloud services: Seagen can integrate their error data with other Google Cloud services, such as Google Cloud Pub/Sub, Google Cloud Storage, and Google BigQuery. They can build real-time data pipelines and analytics workflows using these services, and can store and analyze error data at scale.
Overall, by using Google Cloud Error Reporting, Seagen can benefit from a powerful and scalable solution for their error tracking and reporting needs. With its support for migrating existing error reporting configurations, collecting and analyzing errors, monitoring and alerting, managing access and permissions, and integrating with other Google Cloud services, Google Cloud Error Reporting provides a range of options that can meet the needs of a variety of workloads and use cases.
C. Features
Real-time processing
Application errors are processed and displayed in the interface within seconds. Enable auto-reload for an up-to-date interface.
Intelligent error grouping
Errors are grouped and de-duplicated by analyzing their stack traces. Our system knows about the common frameworks used for your language and groups errors accordingly.
Overview with filtering
Aggregated errors are presented in a concise overview table. Sort by occurrences, number of affected users, or first/last seen date. Filter the content by time window or service. Enable auto-refresh to keep an eye on the changes.
Error details
A dedicated page displays the details of the error: bar chart over time, list of affected versions, request URL and link to the request log.
Stack trace exploration
Stack traces are parsed and displayed with a style that helps you focus on what matters. Click stack frames to go to source and start debugging.
Alerts
Opt in to receive instant email and mobile alerts on newly seen errors.
Issue tracker integration
Easily link an error to an issue from your issue tracker. See at a glance which errors have associated issues.
Mobile application
Error Reporting is available on desktop and in the Google Cloud app for iOS and Android.
Easy setup
Error and exception data is sent by calling a dedicated API or simply using Cloud Logging. The feature is available with zero setup for App Engine applications and requires just a few steps to set up on other platforms like Compute Engine and AWS EC2.
D. Where Implemented
E. How it is tested
Testing Google Cloud Error Reporting involves ensuring that the error reporting infrastructure is properly configured and optimized for performance, reliability, and security. Here are some steps to test Google Cloud Error Reporting:
Create a test environment: Create a test environment that mimics the production environment as closely as possible, including the applications, virtual machines, and other resources that generate errors. Ensure that the error reporting infrastructure is properly configured and that the security policies are in place.
Deploy the error reporting infrastructure: Deploy the error reporting infrastructure on Google Cloud Platform. Ensure that the infrastructure is properly configured and that it can communicate with other resources, such as applications or APIs.
Test error collection: Test the error collection by generating test error data using error generation tools, such as the Stackdriver Error Reporting API or other error generation tools. Ensure that the error data is being collected properly and that there are no errors or missing data.
Test error search and analysis: Test the error search and analysis by using error search and analysis tools, such as the Stackdriver Error Reporting Console or other error analysis tools. Ensure that the errors are searchable and that there are no errors or timeouts.
Test error monitoring and alerting: Test the error monitoring and alerting by setting up custom alerts based on specific error types or resource types, and by receiving notifications via email, SMS, or other channels. Ensure that the alerts are triggered properly and that there are no false positives or false negatives.
Test error access and permissions: Test the error access and permissions by using Google Cloud IAM to define roles and permissions for different users and groups, and by controlling access to errors based on resource type, location, or other attributes. Ensure that the access control policies are working as expected and that there are no unauthorized access or data breaches.
Test error integration: Test the error integration with other Google Cloud services or third-party tools by using error integration testing tools, such as Google Cloud Pub/Sub or Microsoft Azure Event Grid. Ensure that the errors are integrated properly and that there are no integration issues or errors.
Overall, by thoroughly testing Google Cloud Error Reporting, users can ensure that their error reporting infrastructure is properly configured and optimized for performance, reliability, and security. Additionally, users can reach out to Google Cloud support for help with any technical challenges they may encounter.
F. 2023 Roadmap
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G. 2024 Roadmap
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H. Known Issues
While Google Cloud Error Reporting is a reliable and widely used solution for error tracking and reporting needs, there are some known issues that users may encounter. Here are some of the known issues for Google Cloud Error Reporting:
Error ingestion issues: Users may encounter error ingestion issues, such as dropped error data or delayed error data, especially for workloads that generate a high volume of errors. This issue can often be resolved by using the appropriate error ingestion settings, such as batch sizes or batch intervals, and by monitoring the error ingestion rate.
Error search issues: Users may encounter error search issues, such as slow queries or missing errors, especially for workloads that require complex error search queries or real-time error analysis. This issue can often be resolved by using the appropriate error search settings, such as error filters or search indexes, and by optimizing the error search queries.
Alerting issues: Users may encounter alerting issues, such as false positives or false negatives, especially for workloads that require high accuracy or low latency alerts. This issue can often be resolved by using the appropriate alerting policies, such as error threshold values or alert conditions, and by testing the alerting policies in a test environment.
Security issues: Users may encounter security issues, such as unauthorized access or data breaches, especially for workloads that require high security. This issue can often be resolved by using the appropriate security policies and access controls, such as firewall rules and IAM roles.
Integration issues: Users may encounter integration issues with other cloud services or third-party tools, such as data pipelines or analytics platforms. This issue can often be resolved by using industry-standard protocols and APIs to enable interoperability between different cloud services and tools.
Overall, while these issues may impact some users, Google Cloud Error Reporting remains a powerful and reliable solution that is widely used by businesses and organizations around the world. By monitoring their performance and security alerts and errors, reviewing their error reporting configuration and policies, and using best practices and industry standards, users can ensure that their error reporting infrastructure running on Google Cloud Error Reporting is optimized for performance, reliability, and security. Additionally, users can reach out to Google Cloud support for help with any known issues or other technical challenges they may encounter.
[x] Reviewed by Enterprise Architecture
[x] Reviewed by Application Development
[x] Reviewed by Data Architecture