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Cloud and Infrastructure

624What Is Monitoring and Why It Matters
625Observability vs Monitoring
626The Four Golden Signals
627Metric Types: Counters and Gauges
628Metric Types: Histograms and Summaries
629Time Series Data Fundamentals
630Metric Cardinality and Dimensionality
631Infrastructure Metrics
632Application Metrics
633Metric Namespaces and Naming Conventions
634Metric Aggregation and Resolution
635Percentiles vs Averages
636Metric Collection Methods
637Metric Retention and Storage
638Custom Metrics and Instrumentation
639Introduction to Alarms and Alerting
640Alarm States and Transitions
641Threshold-Based Alarms
642Alarm Evaluation Periods and Datapoints
643Comparison Operators and Thresholds
644Anomaly Detection Alarms
645Composite Alarms
646Alarm Actions and Notifications
647Notification Channels
648Alarm Suppression and Maintenance Windows
649Alert Severity and Prioritization
650Alarm Testing and Validation
651Alarm Best Practices and Anti-Patterns
652What Are Logs and Why They Matter
653Log Levels and Severity
654Structured vs Unstructured Logs
655Application Logs vs System Logs
656Log Retention and Storage Requirements
657Centralized Logging Concepts
658Log Collection Agents
659Log Streaming vs Log Shipping
660Log Parsing and Enrichment
661Correlation IDs and Request Tracing
662Log Search and Query Patterns
663Log Sampling and Filtering
664Security and Sensitive Data in Logs
665Log Aggregation Pipelines
666Cloud-Native Logging Standards
667Log-Based Metrics and Alerting
668AWS CloudWatch Overview
669CloudWatch Metrics and Namespaces
670CloudWatch Alarms and Actions
671CloudWatch Logs Structure
672CloudWatch Logs Insights
673CloudWatch Dashboards
674Azure Monitor Overview
675Azure Monitor Metrics and Alerts
676Azure Log Analytics Workspaces
677Kusto Query Language (KQL) Basics
678Azure Monitor Workbooks
679Google Cloud Operations Suite Overview
680Cloud Monitoring in GCP
681Cloud Logging in GCP
682GCP Monitoring Query Language
683Cross-Provider Monitoring Comparison

Cloud and Infrastructure

624What Is Monitoring and Why It Matters
625Observability vs Monitoring
626The Four Golden Signals
627Metric Types: Counters and Gauges
628Metric Types: Histograms and Summaries
629Time Series Data Fundamentals
630Metric Cardinality and Dimensionality
631Infrastructure Metrics
632Application Metrics
633Metric Namespaces and Naming Conventions
634Metric Aggregation and Resolution
635Percentiles vs Averages
636Metric Collection Methods
637Metric Retention and Storage
638Custom Metrics and Instrumentation
639Introduction to Alarms and Alerting
640Alarm States and Transitions
641Threshold-Based Alarms
642Alarm Evaluation Periods and Datapoints
643Comparison Operators and Thresholds
644Anomaly Detection Alarms
645Composite Alarms
646Alarm Actions and Notifications
647Notification Channels
648Alarm Suppression and Maintenance Windows
649Alert Severity and Prioritization
650Alarm Testing and Validation
651Alarm Best Practices and Anti-Patterns
652What Are Logs and Why They Matter
653Log Levels and Severity
654Structured vs Unstructured Logs
655Application Logs vs System Logs
656Log Retention and Storage Requirements
657Centralized Logging Concepts
658Log Collection Agents
659Log Streaming vs Log Shipping
660Log Parsing and Enrichment
661Correlation IDs and Request Tracing
662Log Search and Query Patterns
663Log Sampling and Filtering
664Security and Sensitive Data in Logs
665Log Aggregation Pipelines
666Cloud-Native Logging Standards
667Log-Based Metrics and Alerting
668AWS CloudWatch Overview
669CloudWatch Metrics and Namespaces
670CloudWatch Alarms and Actions
671CloudWatch Logs Structure
672CloudWatch Logs Insights
673CloudWatch Dashboards
674Azure Monitor Overview
675Azure Monitor Metrics and Alerts
676Azure Log Analytics Workspaces
677Kusto Query Language (KQL) Basics
678Azure Monitor Workbooks
679Google Cloud Operations Suite Overview
680Cloud Monitoring in GCP
681Cloud Logging in GCP
682GCP Monitoring Query Language
683Cross-Provider Monitoring Comparison

← Cloud and Infrastructure

Lesson 628 of 2,989·12. Monitoring FoundationsPro lesson

Metric Types: Histograms and Summaries

Using histograms and summaries to capture distributions and percentiles of metric data.

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