Logging, Monitoring, and Observability in Google Cloud

Logging, Monitoring, and Observability in Google CloudLMOGCGOGoogleGO-LMOGC2.0This course teaches participants the following skills: <ul> <li>Plan and implement a well-architected logging and monitoring infrastructure</li><li>Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs)</li><li>Create effective monitoring dashboards and alerts</li><li>Monitor, troubleshoot, and improve Google Cloud infrastructure</li><li>Analyze and export Google Cloud audit logs</li><li>Find production code defects, identify bottlenecks, and improve performance</li><li>Optimize monitoring costs</li></ul>To get the most out of this course, participants should have: <ul> <li><a class="fl-href-prod" href="/swisscom/fr/course/google-gcf-ci"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Google Cloud Fundamentals: Core Infrastructure (GCF-CI)</a> or equivalent experience</li><li>Basic scripting or coding familiarity</li><li>Proficiency with command-line tools and Linux operating system environments</li></ul>This class is intended for the following participants: <ul> <li>Cloud architects, administrators, and SysOps personnel</li><li>Cloud developers and DevOps personnel</li></ul>Module 1 - Introduction to Google Cloud Monitoring Tools <ul> <li>Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring</li><li>Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler</li></ul>Module 2 - Avoiding Customer Pain <ul> <li>Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation</li><li>Measure customer pain with SLIs</li><li>Define critical performance measures</li><li>Create and use SLOs and SLAs</li><li>Achieve developer and operation harmony with error budgets</li></ul>Module 3 - Alerting Policies <ul> <li>Develop alerting strategies</li><li>Define alerting policies</li><li>Add notification channels</li><li>Identify types of alerts and common uses for each</li><li>Construct and alert on resource groups</li><li>Manage alerting policies programmatically</li></ul>Module 4 - Monitoring Critical Systems <ul> <li>Choose best practice monitoring project architectures</li><li>Differentiate Cloud IAM roles for monitoring</li><li>Use the default dashboards appropriately</li><li>Build custom dashboards to show resource consumption and application load</li><li>Define uptime checks to track aliveness and latency</li></ul>Module 5 - Configuring Google Cloud Services for Observability <ul> <li>Integrate logging and monitoring agents into Compute Engine VMs and images</li><li>Enable and utilize Kubernetes Monitoring</li><li>Extend and clarify Kubernetes monitoring with Prometheus</li><li>Expose custom metrics through code, and with the help of OpenCensus</li></ul>Module 6 - Advanced Logging and Analysis <ul> <li>Identify and choose among resource tagging approaches</li><li>Define log sinks (inclusion filters) and exclusion filters</li><li>Create metrics based on logs</li><li>Define custom metrics</li><li>Link application errors to Logging using Error Reporting</li><li>Export logs to BigQuery</li></ul>Module 7 - Monitoring Network Security and Audit Logs <ul> <li>Collect and analyze VPC Flow logs and Firewall Rules logs</li><li>Enable and monitor Packet Mirroring</li><li>Explain the capabilities of Network Intelligence Center</li><li>Use Admin Activity audit logs to track changes to the configuration or metadata of resources</li><li>Use Data Access audit logs to track accesses or changes to user-provided resource data</li><li>Use System Event audit logs to track GCP administrative actions</li></ul>Module 8 - Managing Incidents <ul> <li>Define incident management roles and communication channels</li><li>Mitigate incident impact</li><li>Troubleshoot root causes</li><li>Resolve incidents</li><li>Document incidents in a post-mortem process</li></ul>Module 9 - Investigating Application Performance Issues <ul> <li>Debug production code to correct code defects</li><li>Trace latency through layers of service interaction to eliminate performance bottlenecks</li><li>Profile and identify resource-intensive functions in an application</li></ul>Module 10- Optimizing the Costs of Monitoring <ul> <li>Analyze resource utilization cust for monitoring related components within Google Cloud</li><li>Implement best practices for controlling the cost of monitoring within Google Cloud</li></ul>Module 1 - Introduction to Google Cloud Monitoring Tools <ul> <li>Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring</li><li>Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler</li></ul>Module 2 - Avoiding Customer Pain <ul> <li>Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation</li><li>Measure customer pain with SLIs</li><li>Define critical performance measures</li><li>Create and use SLOs and SLAs</li><li>Achieve developer and operation harmony with error budgets</li></ul>Module 3 - Alerting Policies <ul> <li>Develop alerting strategies</li><li>Define alerting policies</li><li>Add notification channels</li><li>Identify types of alerts and common uses for each</li><li>Construct and alert on resource groups</li><li>Manage alerting policies programmatically</li></ul>Module 4 - Monitoring Critical Systems <ul> <li>Choose best practice monitoring project architectures</li><li>Differentiate Cloud IAM roles for monitoring</li><li>Use the default dashboards appropriately</li><li>Build custom dashboards to show resource consumption and application load</li><li>Define uptime checks to track aliveness and latency</li></ul>Module 5 - Configuring Google Cloud Services for Observability <ul> <li>Integrate logging and monitoring agents into Compute Engine VMs and images</li><li>Enable and utilize Kubernetes Monitoring</li><li>Extend and clarify Kubernetes monitoring with Prometheus</li><li>Expose custom metrics through code, and with the help of OpenCensus</li></ul>Module 6 - Advanced Logging and Analysis <ul> <li>Identify and choose among resource tagging approaches</li><li>Define log sinks (inclusion filters) and exclusion filters</li><li>Create metrics based on logs</li><li>Define custom metrics</li><li>Link application errors to Logging using Error Reporting</li><li>Export logs to BigQuery</li></ul>Module 7 - Monitoring Network Security and Audit Logs <ul> <li>Collect and analyze VPC Flow logs and Firewall Rules logs</li><li>Enable and monitor Packet Mirroring</li><li>Explain the capabilities of Network Intelligence Center</li><li>Use Admin Activity audit logs to track changes to the configuration or metadata of resources</li><li>Use Data Access audit logs to track accesses or changes to user-provided resource data</li><li>Use System Event audit logs to track GCP administrative actions</li></ul>Module 8 - Managing Incidents <ul> <li>Define incident management roles and communication channels</li><li>Mitigate incident impact</li><li>Troubleshoot root causes</li><li>Resolve incidents</li><li>Document incidents in a post-mortem process</li></ul>Module 9 - Investigating Application Performance Issues <ul> <li>Debug production code to correct code defects</li><li>Trace latency through layers of service interaction to eliminate performance bottlenecks</li><li>Profile and identify resource-intensive functions in an application</li></ul>Module 10- Optimizing the Costs of Monitoring <ul> <li>Analyze resource utilization cust for monitoring related components within Google Cloud</li><li>Implement best practices for controlling the cost of monitoring within Google Cloud</li></ul>This course teaches participants the following skills: - Plan and implement a well-architected logging and monitoring infrastructure - Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs) - Create effective monitoring dashboards and alerts - Monitor, troubleshoot, and improve Google Cloud infrastructure - Analyze and export Google Cloud audit logs - Find production code defects, identify bottlenecks, and improve performance - Optimize monitoring costsTo get the most out of this course, participants should have: - Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or equivalent experience - Basic scripting or coding familiarity - Proficiency with command-line tools and Linux operating system environmentsThis class is intended for the following participants: - Cloud architects, administrators, and SysOps personnel - Cloud developers and DevOps personnelModule 1 - Introduction to Google Cloud Monitoring Tools - Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring - Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler Module 2 - Avoiding Customer Pain - Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation - Measure customer pain with SLIs - Define critical performance measures - Create and use SLOs and SLAs - Achieve developer and operation harmony with error budgets Module 3 - Alerting Policies - Develop alerting strategies - Define alerting policies - Add notification channels - Identify types of alerts and common uses for each - Construct and alert on resource groups - Manage alerting policies programmatically Module 4 - Monitoring Critical Systems - Choose best practice monitoring project architectures - Differentiate Cloud IAM roles for monitoring - Use the default dashboards appropriately - Build custom dashboards to show resource consumption and application load - Define uptime checks to track aliveness and latency Module 5 - Configuring Google Cloud Services for Observability - Integrate logging and monitoring agents into Compute Engine VMs and images - Enable and utilize Kubernetes Monitoring - Extend and clarify Kubernetes monitoring with Prometheus - Expose custom metrics through code, and with the help of OpenCensus Module 6 - Advanced Logging and Analysis - Identify and choose among resource tagging approaches - Define log sinks (inclusion filters) and exclusion filters - Create metrics based on logs - Define custom metrics - Link application errors to Logging using Error Reporting - Export logs to BigQuery Module 7 - Monitoring Network Security and Audit Logs - Collect and analyze VPC Flow logs and Firewall Rules logs - Enable and monitor Packet Mirroring - Explain the capabilities of Network Intelligence Center - Use Admin Activity audit logs to track changes to the configuration or metadata of resources - Use Data Access audit logs to track accesses or changes to user-provided resource data - Use System Event audit logs to track GCP administrative actions Module 8 - Managing Incidents - Define incident management roles and communication channels - Mitigate incident impact - Troubleshoot root causes - Resolve incidents - Document incidents in a post-mortem process Module 9 - Investigating Application Performance Issues - Debug production code to correct code defects - Trace latency through layers of service interaction to eliminate performance bottlenecks - Profile and identify resource-intensive functions in an application Module 10- Optimizing the Costs of Monitoring - Analyze resource utilization cust for monitoring related components within Google Cloud - Implement best practices for controlling the cost of monitoring within Google CloudModule 1 - Introduction to Google Cloud Monitoring Tools - Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring - Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler Module 2 - Avoiding Customer Pain - Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation - Measure customer pain with SLIs - Define critical performance measures - Create and use SLOs and SLAs - Achieve developer and operation harmony with error budgets Module 3 - Alerting Policies - Develop alerting strategies - Define alerting policies - Add notification channels - Identify types of alerts and common uses for each - Construct and alert on resource groups - Manage alerting policies programmatically Module 4 - Monitoring Critical Systems - Choose best practice monitoring project architectures - Differentiate Cloud IAM roles for monitoring - Use the default dashboards appropriately - Build custom dashboards to show resource consumption and application load - Define uptime checks to track aliveness and latency Module 5 - Configuring Google Cloud Services for Observability - Integrate logging and monitoring agents into Compute Engine VMs and images - Enable and utilize Kubernetes Monitoring - Extend and clarify Kubernetes monitoring with Prometheus - Expose custom metrics through code, and with the help of OpenCensus Module 6 - Advanced Logging and Analysis - Identify and choose among resource tagging approaches - Define log sinks (inclusion filters) and exclusion filters - Create metrics based on logs - Define custom metrics - Link application errors to Logging using Error Reporting - Export logs to BigQuery Module 7 - Monitoring Network Security and Audit Logs - Collect and analyze VPC Flow logs and Firewall Rules logs - Enable and monitor Packet Mirroring - Explain the capabilities of Network Intelligence Center - Use Admin Activity audit logs to track changes to the configuration or metadata of resources - Use Data Access audit logs to track accesses or changes to user-provided resource data - Use System Event audit logs to track GCP administrative actions Module 8 - Managing Incidents - Define incident management roles and communication channels - Mitigate incident impact - Troubleshoot root causes - Resolve incidents - Document incidents in a post-mortem process Module 9 - Investigating Application Performance Issues - Debug production code to correct code defects - Trace latency through layers of service interaction to eliminate performance bottlenecks - Profile and identify resource-intensive functions in an application Module 10- Optimizing the Costs of Monitoring - Analyze resource utilization cust for monitoring related components within Google Cloud - Implement best practices for controlling the cost of monitoring within Google Cloud2 jours1950.002220.001950.006770.002095.002095.001950.001950.001950.005200.001495.001300.001210.001300.002065.001550.00