{"course":{"productid":23147,"modality":1,"active":true,"language":"fr","title":"Logging, Monitoring, and Observability in Google Cloud","productcode":"LMOGC","vendorcode":"GO","vendorname":"Google","fullproductcode":"GO-LMOGC","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/google-lmogc","objective":"<p>This course teaches participants the following skills:\n<\/p>\n<ul>\n<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>","essentials":"<p>To get the most out of this course, participants should have:\n<\/p>\n<ul>\n<li><span class=\"cms-link-marked\"><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 <span class=\"fl-prod-pcode\">(GCF-CI)<\/span><\/a><\/span> or equivalent experience<\/li><li>Basic scripting or coding familiarity<\/li><li>Proficiency with command-line tools and Linux operating system environments<\/li><\/ul>","audience":"<p>This class is intended for the following participants:\n<\/p>\n<ul>\n<li>Cloud architects, administrators, and SysOps personnel<\/li><li>Cloud developers and DevOps personnel<\/li><\/ul>","contents":"<p>Module 1 - Introduction to Google Cloud Monitoring Tools\n<\/p>\n<ul>\n<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><p>Module 2 - Avoiding Customer Pain\n<\/p>\n<ul>\n<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><p>Module 3 - Alerting Policies\n<\/p>\n<ul>\n<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><p>Module 4 - Monitoring Critical Systems\n<\/p>\n<ul>\n<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><p>Module 5 - Configuring Google Cloud Services for Observability<\/p>\n<ul>\n<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><p>Module 6 - Advanced Logging and Analysis\n<\/p>\n<ul>\n<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><p>Module 7 - Monitoring Network Security and Audit Logs\n<\/p>\n<ul>\n<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><p>Module 8 - Managing Incidents\n<\/p>\n<ul>\n<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><p>Module 9 - Investigating Application Performance Issues\n<\/p>\n<ul>\n<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><p>Module 10- Optimizing the Costs of Monitoring\n<\/p>\n<ul>\n<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>","outline":"<p>Module 1 - Introduction to Google Cloud Monitoring Tools\n<\/p>\n<ul>\n<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><p>Module 2 - Avoiding Customer Pain\n<\/p>\n<ul>\n<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><p>Module 3 - Alerting Policies\n<\/p>\n<ul>\n<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><p>Module 4 - Monitoring Critical Systems\n<\/p>\n<ul>\n<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><p>Module 5 - Configuring Google Cloud Services for Observability<\/p>\n<ul>\n<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><p>Module 6 - Advanced Logging and Analysis\n<\/p>\n<ul>\n<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><p>Module 7 - Monitoring Network Security and Audit Logs\n<\/p>\n<ul>\n<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><p>Module 8 - Managing Incidents\n<\/p>\n<ul>\n<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><p>Module 9 - Investigating Application Performance Issues\n<\/p>\n<ul>\n<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><p>Module 10- Optimizing the Costs of Monitoring\n<\/p>\n<ul>\n<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>","summary":"<p>This three-day instructor-led course teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.<\/p>","objective_plain":"This course teaches participants the following skills:\n\n\n\n- Plan and implement a well-architected logging and monitoring infrastructure\n- Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs)\n- Create effective monitoring dashboards and alerts\n- Monitor, troubleshoot, and improve Google Cloud infrastructure\n- Analyze and export Google Cloud audit logs\n- Find production code defects, identify bottlenecks, and improve performance\n- Optimize monitoring costs","essentials_plain":"To get the most out of this course, participants should have:\n\n\n\n- Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or equivalent experience\n- Basic scripting or coding familiarity\n- Proficiency with command-line tools and Linux operating system environments","audience_plain":"This class is intended for the following participants:\n\n\n\n- Cloud architects, administrators, and SysOps personnel\n- Cloud developers and DevOps personnel","contents_plain":"Module 1 - Introduction to Google Cloud Monitoring Tools\n\n\n\n- Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring\n- Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler\nModule 2 - Avoiding Customer Pain\n\n\n\n- Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation\n- Measure customer pain with SLIs\n- Define critical performance measures\n- Create and use SLOs and SLAs\n- Achieve developer and operation harmony with error budgets\nModule 3 - Alerting Policies\n\n\n\n- Develop alerting strategies\n- Define alerting policies\n- Add notification channels\n- Identify types of alerts and common uses for each\n- Construct and alert on resource groups\n- Manage alerting policies programmatically\nModule 4 - Monitoring Critical Systems\n\n\n\n- Choose best practice monitoring project architectures\n- Differentiate Cloud IAM roles for monitoring\n- Use the default dashboards appropriately\n- Build custom dashboards to show resource consumption and application load\n- Define uptime checks to track aliveness and latency\nModule 5 - Configuring Google Cloud Services for Observability\n\n\n- Integrate logging and monitoring agents into Compute Engine VMs and images\n- Enable and utilize Kubernetes Monitoring\n- Extend and clarify Kubernetes monitoring with Prometheus\n- Expose custom metrics through code, and with the help of OpenCensus\nModule 6 - Advanced Logging and Analysis\n\n\n\n- Identify and choose among resource tagging approaches\n- Define log sinks (inclusion filters) and exclusion filters\n- Create metrics based on logs\n- Define custom metrics\n- Link application errors to Logging using Error Reporting\n- Export logs to BigQuery\nModule 7 - Monitoring Network Security and Audit Logs\n\n\n\n- Collect and analyze VPC Flow logs and Firewall Rules logs\n- Enable and monitor Packet Mirroring\n- Explain the capabilities of Network Intelligence Center\n- Use Admin Activity audit logs to track changes to the configuration or metadata of resources\n- Use Data Access audit logs to track accesses or changes to user-provided resource data\n- Use System Event audit logs to track GCP administrative actions\nModule 8 - Managing Incidents\n\n\n\n- Define incident management roles and communication channels\n- Mitigate incident impact\n- Troubleshoot root causes\n- Resolve incidents\n- Document incidents in a post-mortem process\nModule 9 - Investigating Application Performance Issues\n\n\n\n- Debug production code to correct code defects\n- Trace latency through layers of service interaction to eliminate performance bottlenecks\n- Profile and identify resource-intensive functions in an application\nModule 10- Optimizing the Costs of Monitoring\n\n\n\n- Analyze resource utilization cust for monitoring related components within Google Cloud\n- Implement best practices for controlling the cost of monitoring within Google Cloud","outline_plain":"Module 1 - Introduction to Google Cloud Monitoring Tools\n\n\n\n- Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring\n- Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler\nModule 2 - Avoiding Customer Pain\n\n\n\n- Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation\n- Measure customer pain with SLIs\n- Define critical performance measures\n- Create and use SLOs and SLAs\n- Achieve developer and operation harmony with error budgets\nModule 3 - Alerting Policies\n\n\n\n- Develop alerting strategies\n- Define alerting policies\n- Add notification channels\n- Identify types of alerts and common uses for each\n- Construct and alert on resource groups\n- Manage alerting policies programmatically\nModule 4 - Monitoring Critical Systems\n\n\n\n- Choose best practice monitoring project architectures\n- Differentiate Cloud IAM roles for monitoring\n- Use the default dashboards appropriately\n- Build custom dashboards to show resource consumption and application load\n- Define uptime checks to track aliveness and latency\nModule 5 - Configuring Google Cloud Services for Observability\n\n\n- Integrate logging and monitoring agents into Compute Engine VMs and images\n- Enable and utilize Kubernetes Monitoring\n- Extend and clarify Kubernetes monitoring with Prometheus\n- Expose custom metrics through code, and with the help of OpenCensus\nModule 6 - Advanced Logging and Analysis\n\n\n\n- Identify and choose among resource tagging approaches\n- Define log sinks (inclusion filters) and exclusion filters\n- Create metrics based on logs\n- Define custom metrics\n- Link application errors to Logging using Error Reporting\n- Export logs to BigQuery\nModule 7 - Monitoring Network Security and Audit Logs\n\n\n\n- Collect and analyze VPC Flow logs and Firewall Rules logs\n- Enable and monitor Packet Mirroring\n- Explain the capabilities of Network Intelligence Center\n- Use Admin Activity audit logs to track changes to the configuration or metadata of resources\n- Use Data Access audit logs to track accesses or changes to user-provided resource data\n- Use System Event audit logs to track GCP administrative actions\nModule 8 - Managing Incidents\n\n\n\n- Define incident management roles and communication channels\n- Mitigate incident impact\n- Troubleshoot root causes\n- Resolve incidents\n- Document incidents in a post-mortem process\nModule 9 - Investigating Application Performance Issues\n\n\n\n- Debug production code to correct code defects\n- Trace latency through layers of service interaction to eliminate performance bottlenecks\n- Profile and identify resource-intensive functions in an application\nModule 10- Optimizing the Costs of Monitoring\n\n\n\n- Analyze resource utilization cust for monitoring related components within Google Cloud\n- Implement best practices for controlling the cost of monitoring within Google Cloud","summary_plain":"This three-day instructor-led course teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.","skill_level":"Intermediate","version":"2.0","duration":{"unit":"d","value":2,"formatted":"2 jours"},"pricelist":{"List Price":{"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":1950},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":2220},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":1950},"IL":{"country":"IL","currency":"ILS","taxrate":17,"price":6770},"BE":{"country":"BE","currency":"EUR","taxrate":21,"price":2095},"NL":{"country":"NL","currency":"EUR","taxrate":21,"price":2095},"GR":{"country":"GR","currency":"EUR","taxrate":null,"price":1950},"MK":{"country":"MK","currency":"EUR","taxrate":null,"price":1950},"HU":{"country":"HU","currency":"EUR","taxrate":20,"price":1950},"PL":{"country":"PL","currency":"PLN","taxrate":23,"price":5200},"US":{"country":"US","currency":"USD","taxrate":null,"price":1495},"IT":{"country":"IT","currency":"EUR","taxrate":20,"price":1300},"GB":{"country":"GB","currency":"GBP","taxrate":20,"price":1210},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":1300},"CA":{"country":"CA","currency":"CAD","taxrate":null,"price":2065},"FR":{"country":"FR","currency":"EUR","taxrate":19.6,"price":1550}}},"lastchanged":"2026-04-01T10:09:12+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course-schedule\/23147","source_lang":"fr","source":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course\/google-lmogc"}}