Google Cloud Stackdriver, now known as Google Cloud Operations Suite, is a suite of tools that helps developers monitor, troubleshoot, and optimize their applications running on GCP and AWS. In this overview, we’ll cover the definition, how to use, commands (if applicable), use cases, examples, costs, and pros and cons of various services within the Cloud Operations Suite in GCP.
Definition:
Google Cloud Operations Suite consists of the following services:
1. Cloud Monitoring: A service that collects and stores metrics, events, and metadata from GCP, AWS, and other sources, providing real-time performance insights and alerting capabilities.
2. Cloud Logging: A service that collects and stores logs from applications and infrastructure, enabling developers to search, analyze, and correlate log data for troubleshooting and analysis purposes.
3. Cloud Trace: A distributed tracing system that captures latency data from applications, allowing developers to identify performance bottlenecks and optimize application performance.
4. Cloud Debugger: A debugging tool that enables developers to debug running applications in production without affecting users or requiring redeployment.
5. Cloud Profiler: A profiling tool that collects and analyzes CPU and memory usage data from applications, helping developers identify performance bottlenecks and optimize resource usage.
6. Cloud Error Reporting: A service that aggregates and displays errors from applications, enabling developers to identify and prioritize issues for resolution.
How to use:
1. Cloud Monitoring: Set up monitoring for your GCP or AWS resources by configuring the appropriate integration. Create custom dashboards and alerting policies to monitor the performance of your applications and infrastructure.
2. Cloud Logging: Enable log export from your GCP or AWS resources to Cloud Logging. Create custom logs-based metrics, set up log sinks, and analyze log data using the Logs Explorer.
3. Cloud Trace: Instrument your applications using OpenTelemetry, OpenCensus, or the Cloud Trace SDK to capture trace data. Analyze trace data using the Trace Viewer and Trace List in the Cloud Console.
4. Cloud Debugger: Configure source code access for your application, then use the Cloud Console to set breakpoints and inspect the application state in real-time.
5. Cloud Profiler: Instrument your applications with the Cloud Profiler agent or library, then analyze the collected profile data using the Profiler UI in the Cloud Console.
6. Cloud Error Reporting: Configure error reporting for your applications using the appropriate library or SDK. View and manage errors using the Error Reporting UI in the Cloud Console.
Commands:
While most of the interaction with the Cloud Operations Suite services is done through the Cloud Console, you can also use the `gcloud` command-line tool for certain tasks, such as configuring logging or setting up monitoring:
– To view logs: `gcloud logging read LOG_FILTER`
– To create an alerting policy: `gcloud monitoring policies create POLICY_FILE`
Use cases:
1. Monitoring application performance and infrastructure health for proactive incident management.
2. Analyzing log data to identify trends, troubleshoot issues, and optimize resource usage.
3. Tracing requests across microservices to identify performance bottlenecks and improve application latency.
4. Debugging production applications without impacting user experience or requiring redeployment.
5. Profiling applications to optimize CPU and memory usage.
6. Identifying and prioritizing application errors for resolution.
