54 SECTIONS · 1573 TOPICS
Prometheus Roadmap
Installing and Configuring Prometheus
- 1. Downloading Prometheus
- Example: Extracting Prometheus
- 2. Setting Up Configuration File
- Example: Basic Prometheus Configuration
- 3. Running Prometheus Server
- Example: Starting Prometheus with default configuration
- Example: Running Prometheus with custom retention and storage path
- 4. Configuring Storage Path
- Example: Configuring Storage Path
- 5. Setting Web Listen Address
- Example: Listen on specific IP and port
- Example: Listen on all interfaces with custom port
- 6. Configuring External URL
- Example: Setting External URL
- 7. Setting Log Level and Format
- Example: Configuring Log Level and Format
- 8. Validating Configuration
- Example: Validate Prometheus configuration file
- 9. Running as Service
- Example: Systemd Service Configuration
- Service Setup Steps
- 10. Using Command-Line Help
- Example: Viewing Prometheus Help
- 11. Enabling Feature Flags
- Example: Enabling Feature Flags
- 12. Upgrading Prometheus Versions
- Example: Upgrading Prometheus
- Upgrade Considerations
Configuring Global Settings
- 1. Setting Scrape Interval
- Example: Configuring scrape intervals
- 2. Setting Evaluation Interval
- Example: Configuring Evaluation Interval
- 3. Configuring Scrape Timeout
- Example: Setting Scrape Timeout
- 4. Setting Up External Labels
- Example: Configuring External Labels in Prometheus
- 5. Configuring Query Log File
- Example: Query Log Configuration
- 6. Setting Query Timeout
- Example: Setting Query Timeout in Prometheus Configuration
- 7. Configuring Max Samples
- Example: Setting Max Samples in Prometheus Configuration
- 8. Setting Query Concurrency
- Example: Configuring Query Concurrency
- 9. Configuring Lookback Delta
- Example: Setting lookback_delta in configuration
- 10. Configuring Rule Files Path
- Example: rule_files configuration
- 11. Setting Alertmanager Configuration
- Example: Alertmanager Configuration File
- 12. Understanding Global Defaults
- Example: Default Configuration
Using Web UI and Expression Browser
- 1. Accessing Web Interface
- Example: Starting Prometheus with default UI
- 2. Using Expression Browser
- Example: Querying a metric
- Example: Using functions
- Example: Filtering with labels
- 3. Viewing Targets Status
- Example: Querying Target Status
- 4. Checking Service Discovery
- Example: Service Discovery Configuration
- 5. Viewing Configuration
- Example: Basic Configuration File
- 6. Checking Rule Status
- Example: Querying rule status
- 7. Viewing Active Alerts
- Example: Alert Rule Expression
- 8. Using TSDB Status Page
- Example: Accessing TSDB Status Page
- TSDB Status Page Overview
- 9. Checking Runtime Information
- Example: Fetching Build Information
- Example: Fetching Runtime Info
- 10. Using Graph Visualization
- Example: Basic Graph Query
- Example: Query with Labels
- Steps to Visualize Metrics
- Graph vs. Table View
- 11. Viewing Command-Line Flags
- Example: Starting Prometheus with custom flags
- 12. Accessing Health Endpoints
- Example: Checking Health Endpoints
Understanding Prometheus Metric Types
- 1. Working with Counter Metrics
- Example: Incrementing a Counter
- Example: Counter with Labels
- 2. Working with Gauge Metrics
- Example: Setting a Gauge Value
- Example: Incrementing a Gauge
- Example: Decrementing a Gauge
- 3. Working with Histogram Metrics
- Example: Histogram Configuration
- Example: Querying Histogram Quantiles
- Key Points About Histograms
- 4. Working with Summary Metrics
- Example: Creating a Summary Metric
- Summary Metric Properties
- 5. Understanding Metric Naming Conventions
- Example: Naming Convention Best Practices
- 6. Using Metric Labels
- Example: Label Usage in Prometheus Query
- Example: Adding Labels to a Counter Metric
- 7. Understanding Reserved Labels
- 8. Understanding Metric Exposition Format
- Example: Counter exposition
- Example: Histogram exposition
- 9. Working with Timestamps
- Example: Setting Custom Timestamps
- 10. Using Metric Help Text
- Example: Defining Help Text in a Metric
- 11. Choosing Histogram vs Summary
- Example: Histogram Usage
- Example: Summary Usage
- Decision Guide
- 12. Understanding Counter Resets
- Example: Counter Reset Simulation
Working with Labels and Metadata
- 1. Creating Metric Labels
- Example: Adding Labels to a Metric
- 2. Understanding Label Naming Conventions
- Example: Valid Label Names
- 3. Using Target Labels
- Example: Adding Target Labels in Prometheus Configuration
- 4. Understanding Instrumentation Labels
- Example: Instrumenting a Counter with Labels
- 5. Using Meta Labels
- Example: Querying with Meta Labels
- Example: Filtering by Instance
- 6. Handling High-Cardinality Labels
- Example: Label Cardinality Issue
- Strategies to Reduce Label Cardinality
- 7. Implementing Label Inheritance
- Example: Adding Inherited Labels to Metrics
- Label Inheritance Best Practices
- 8. Using Label Matchers
- Example: Using Label Matchers in Queries
- Example: Excluding Specific Jobs
- 9. Understanding Label Precedence
- Example: Label Precedence in Action
- Example: Metric with Label Precedence
- 10. Dropping Unnecessary Labels
- Example: Dropping labels via relabeling
- 11. Adding Static Labels
- Example: Adding static labels via configuration
- 12. Using External Labels
- Example: Configuring External Labels in Prometheus
- 11. Adding Static Labels
- Example: Adding static labels via configuration
- 12. Using External Labels
- Example: Configuring External Labels in Prometheus
Working with OpenMetrics Format
- 1. Understanding OpenMetrics Specification
- Example: Basic Metric Format
- 2. Scraping OpenMetrics Endpoints
- Example: Basic Scrape Configuration
- Example: Scrape with Relabeling
- 3. Using Typed Metrics
- Example: Counter Usage in a Web Server
- Example: Histogram with Buckets
- 4. Understanding Metric Units
- Example: Using Units in Prometheus Metrics
- 5. Working with Exemplars
- Example: Adding Exemplars to Histograms
- 6. Using Info Metrics
- Example: Info Metric Definition
- 7. Understanding StateSet Metrics
- Example: StateSet Metrics in Prometheus
- Key Points About StateSet Metrics
- 8. Using Histogram Buckets
- Example: Histogram with Custom Buckets
- Example: Histogram with Default Buckets
- 9. Understanding EOF Marker
- Example: EOF Marker in Metrics Stream
- 10. Configuring Accept Header
- Example: Setting Accept Header in cURL
- 11. Implementing Created Timestamps
- Example: Adding Created Timestamp to a Metric
- 12. Understanding OpenMetrics vs Prometheus Format
Configuring Scrape Jobs
- 1. Defining Static Targets
- Example: Basic Static Target Configuration
- 2. Setting Job-Specific Scrape Interval
- Example: Configuring scrape interval for a job
- 3. Configuring Metrics Path
- Example: Configuring Metrics Path
- 4. Setting Scrape Scheme
- Example: Configuring HTTP Scrape Scheme
- Example: Configuring HTTPS Scrape Scheme
- 5. Adding Job Labels
- Example: Adding Job Labels
- 6. Setting Scrape Timeout
- Example: Configuring Scrape Timeout
- 7. Enabling Sample Limit
- Example: Configuring Sample Limit in Prometheus Configuration
- 8. Configuring Label Limits
- Example: Setting Label Limits in Configuration
- 9. Using Params for Scraping
- Example: Configuring params in scrape job
- 10. Configuring Honor Labels
- Example: Configuring honor_labels
- 11. Configuring Honor Timestamps
- Example: Setting honor_timestamps to false
- 12. Setting Body Size Limit
- Example: Configuring Body Size Limit
Implementing Service Discovery
- 1. Using Static Discovery
- Example: Static Configuration
- 2. Configuring File-Based Discovery
- Example: File-Based Discovery Configuration
- 2. Target File Format
- Example: Target File Content
- 2. Reloading Configuration
- Workflow: Reloading Configuration
- 3. Setting Up DNS Discovery
- Example: DNS Service Discovery Configuration
- 4. Implementing Consul Discovery
- Example: Service Registration in Consul
- Example: Prometheus Configuration for Consul SD
- Consul Service Discovery Configuration
- 5. Using Kubernetes Discovery
- Example: Service Discovery for Kubernetes Endpoints
- 6. Configuring EC2 Discovery
- Example: EC2 Discovery Configuration
- 7. Setting Up Azure Discovery
- Example: Azure SD Configuration
- Configuration Summary
- 8. Using GCE Discovery
- Example: GCE Service Discovery Configuration
- Key Points
- 9. Implementing Docker Discovery
- Example: Docker SD Configuration
- 10. Configuring OpenStack Discovery
- Example: OpenStack SD Configuration
- 11. Using HTTP Service Discovery
- Example: HTTP SD Configuration
- Example: HTTP SD Response
- 12. Understanding Refresh Intervals
- Example: Configuring refresh interval
Working with Relabeling
- 1. Understanding Relabel Actions
- Example: Replace action usage
- Example: Keep action usage
- Example: Drop action usage
- 2. Using source_labels
- Example: Relabeling with source_labels
- 3. Configuring target_label
- Example: Basic target_label configuration
- 4. Setting Regex Patterns
- Example: Relabeling with Regex
- 5. Using Replacement Strings
- Example: Using Capture Groups in Replacement
- 6. Implementing Keep Action
- Example: Keep action configuration
- 7. Implementing Drop Action
- Example: Drop Metrics Based on Label Value
- 8. Using labelmap Action
- Example: Using labelmap to rename metrics
- 9. Implementing labeldrop Action
- Example: Dropping internal labels
- 10. Using labelkeep Action
- Example: Using labelkeep to filter metrics by job name
- 11. Understanding hashmod Action
- Example: Using hashmod to distribute metrics
- 12. Configuring Metric Relabeling
- Example: Replace label value using regex
- Example: Drop metrics based on label value
- Example: Hashmod for load balancing
Implementing Authentication
- 1. Configuring Basic Authentication
- Example: Basic Auth Configuration
- 2. Using Bearer Token Authentication
- Example: Configuring Bearer Token Authentication
- 3. Setting Up TLS Encryption
- Example: Prometheus TLS Configuration
- 4. Configuring Client Certificates
- Example: Prometheus Configuration with Client Certificates
- 5. Setting CA Certificate
- Example: Configuring CA Certificate for TLS
- 6. Implementing Server Name Verification
- Example: Configuring Server Name Verification
- 7. Using OAuth2 Authentication
- Example: OAuth2 Configuration
- 8. Configuring Web Authentication
- Example: Basic Web Authentication Setup
- Example: Using Password File
- 9. Setting Up User Credentials
- Example: Configuring User Credentials
- 10. Using Service Account Tokens
- Example: Configuring bearer token in Prometheus config
- Example: Using bearer token file
- 11. Securing Remote Write
- Example: Basic Auth for Remote Write
- Example: Bearer Token for Remote Write
- 12. Implementing API Security
- Example: Setting up JWT Authentication
Hardening Prometheus Security
- 1. Enabling TLS for Web Interface
- Example: TLS Configuration File
- 2. Restricting Network Access
- Example: Secure Prometheus Configuration
- Network Access Best Practices
- 3. Disabling Admin API Endpoints
- Example: Disabling Admin API Endpoints
- 4. Securing TSDB Admin Endpoints
- Example: Protecting TSDB Admin Endpoints with Basic Auth
- 5. Using Reverse Proxy Authentication
- Example: Nginx Configuration with Basic Auth
- 6. Configuring HTTPS Scraping
- Example: HTTPS scraping with TLS config
- 7. Implementing mTLS
- Example: mTLS Configuration in Prometheus
- 8. Securing Alertmanager Communication
- Example: Alertmanager TLS Configuration
- 9. Using Secrets Management
- Example: Using Environment Variables for Secrets
- Best Practices for Secret Management
- 10. Auditing Prometheus Access
- Example: Audit Log Entry Format
- 11. Implementing Role-Based Access
- Example: RBAC Configuration in Prometheus
- 12. Securing Configuration Files
- Example: Secure prometheus.yml Permissions
Querying with PromQL Selectors
- 1. Selecting Metrics by Name
- Example: Selecting a metric by name
- Example: Selecting a metric with label filters
- 2. Using Label Matchers
- Example: Matching by Label Value
- Example: Using Regex Matchers
- 3. Selecting Instant Vectors
- Example: Selecting a metric with labels
- Example: Using regex to match labels
- 4. Selecting Range Vectors
- Example: Selecting a Range Vector with Time Range
- Example: Selecting a Range Vector with Offset
- Example: Selecting a Range Vector with Step
- 5. Using Offset Modifier
- Example: Comparing Current and Historical Data
- 6. Implementing @ Modifier
- Example: Using @ Modifier with a Timestamp
- Example: Using @ Modifier with Time Range
- 7. Understanding Time Durations
- Example: Using time durations in queries
- Example: Time duration in range vectors
- 8. Combining Multiple Matchers
- Example: Combining Matchers
- 9. Using Regex Matchers
- Example: Selecting Metrics with Regex
- Example: Excluding Metrics with Regex
- 10. Selecting All Series
- Example: Select all series with the metric name
- Example: Select all time series in the system
- Example: Select all time series with the metric name
- 11. Understanding Vector Types
- Example: Instant Vector
- Example: Range Vector
- 12. Using Negative Offset
- Example: Comparing Current and Historical Data
Using PromQL Aggregation Operators
- 1. Calculating Sum
- Example: Sum of HTTP Requests
- Example: Sum by Method
- 2. Computing Average
- Example: Average HTTP Request Duration
- Example: Average Over Time Window
- 3. Finding Minimum and Maximum
- Example: Using min() and max() with grouping
- 4. Counting Series
- Example: Using count
- Example: Using count_values
- 5. Computing Standard Deviation
- Example: Using stddev_over_time
- 6. Using Group Operator
- Example: Grouping by Job
- 7. Implementing topk and bottomk
- Example: Using topk to identify the highest HTTP request counts
- Example: Using bottomk to identify the lowest HTTP request counts
- 8. Using count_values
- Example: Counting HTTP Request Values
- 9. Aggregating by Labels
- Example: Aggregating by Labels
- 10. Aggregating without Labels
- Example: Using sum without labels
- Example: Using avg without labels
- 11. Combining Aggregation Operators
- Example: Combining sum and avg
- Example: Using count and max together
- 12. Understanding Aggregation Behavior
- Example: Aggregation with grouping
- Example: Aggregation with quantile
Working with PromQL Rate Functions
- 1. Calculating Rate
- Example: Calculating rate over 5 minutes
- 2. Using irate for Instant Rate
- Example: Using irate for instant rate
- 3. Computing Increase
- Example: Calculating increase over 1 hour
- 4. Computing Delta
- Example: Calculating delta over 10 minutes
- 5. Using idelta for Instant Delta
- Example: Using idelta for instant delta
- 6. Predicting Linear Values
- Example: Predicting linear growth over 1 hour
- 7. Understanding Rate vs irate
- Rate vs irate
- 8. Handling Counter Resets
- 9. Choosing Range Duration
- 10. Using Rate with Aggregations
- Example: Aggregated rate calculation
- 11. Calculating Per-Second Rates
- 12. Avoiding Rate Pitfalls
- Common Pitfalls
Using PromQL Functions
- 1. Calculating Histogram Quantile
- 2. Using Rounding Functions
- Example: Using ceil() to round up
- Example: Using floor() to round down
- Example: Using round() for nearest integer
- 3. Implementing Clamping
- 4. Working with Time Functions
- Example: Using time() to calculate duration
- Example: Filtering by hour of day
- 5. Using Sorting Functions
- Example: Sorting metrics by value
- Example: Sorting metrics by label value
- 6. Implementing Vector Matching
- Example: Vector Matching with Labels
- 7. Computing Absolute Values
- Example: Using abs() function
- 8. Using Label Functions
- Example: Using label_replace to Normalize Hostnames
- Example: Using label_join to Combine Environment and Service
- 9. Using Mathematical Functions
- Example: Using abs() to handle negative values
- Example: Using ceil() to round up response times
- 10. Implementing Exponential Functions
- 11. Using Trigonometric Functions
- 12. Understanding sgn Function
- Example: Using sgn in a Query
Using PromQL Over-Time Functions
- 1. Calculating Average Over Time
- Example: Using avg_over_time to calculate average CPU usage over time
- 2. Finding Min and Max Over Time
- 3. Computing Sum Over Time
- 4. Counting Samples Over Time
- Example: Using count_over_time()
- Example: Using count_values()
- 5. Using Quantile Over Time
- Example: Calculating 95th Percentile Over Time
- 6. Computing Standard Deviation Over Time
- 7. Finding Last Value Over Time
- Example: Finding Last Value Over Time
- 8. Finding First Value Over Time
- Example: Using first_over_time()
- 9. Using Absent Over Time
- Example: Detecting Missing Metrics
- 10. Calculating Changes Over Time
- Example: Calculating Request Rate
- Example: Tracking Counter Resets
- 11. Detecting Resets Over Time
- Example: Using increase() to handle counter resets
- Example: Detecting resets with resets()
- 12. Computing Derivative Over Time
Using PromQL Special Functions
- 1. Calculating Time Deltas
- Example: Using delta() to calculate total requests over time
- Example: Using increase() to handle counter resets
- 2. Using Vector Constructors
- 3. Implementing Scalar Conversion
- Example: Using scalar() to calculate uptime
- 4. Using Changes Function
- Example: Using changes() to count value changes in a time window
- 5. Implementing Resets Detection
- Example: Detecting Counter Resets with
- Example: Using
- 6. Using Deriv Function
- Example: Calculating Derivative of Counter
- 7. Using Absent Functions
- 8. Implementing Day of Week
- Example: Extracting Day of Week from a Metric
- 9. Using Hour of Day
- Example: Hour of Day in a Query
- 10. Calculating Year and Month
- 11. Implementing Days in Month
- Example: Calculating Days in a Month
- 12. Using Day of Month
Implementing Binary Operators
- 1. Using Arithmetic Operators
- 2. Implementing Comparison Operators
- 3. Using Logical Operators
- 4. Understanding Vector Matching
- 5. Implementing Many-to-One Matching
- Example: Many-to-One Matching
- 6. Implementing One-to-Many Matching
- Example: One-to-Many Matching
- 7. Using on Clause
- Example: Using
- 8. Using ignoring Clause
- Example: Using
- 9. Understanding Operator Precedence
- 10. Combining Multiple Operators
- Example: Combining Multiple Operators
- 11. Using Bool Modifier
- Example: Using
- 12. Implementing Comparison Filtering
- Example: Comparison Filtering
Working with Set Operators
- 1. Using Set Operators
- Example: Using group_left
- 2. Implementing Intersection
- Example: Intersection using on()
- 3. Using Union
- Example: Union of Metrics
- 4. Implementing Difference
- Example: Difference using unless
- 5. Combining with Vector Matching
- Example: Vector Matching with group_left
- 6. Using Set Operators for Filtering
- Example: Filtering with unless
- 7. Implementing Alert Correlation
- Example: Alert Correlation using group_left
- 8. Using Unless for Exclusion
- Example: Exclusion using unless
- 9. Combining Multiple Conditions
- Example: Combining Conditions
- 10. Optimizing Set Operations
- Example: Optimized Query
- 11. Implementing Series Presence Checks
- Example: Presence Check using on()
- 12. Using Vector Matching with Sets
- Example: Vector Matching with Sets
Working with PromQL Subqueries
- 1. Understanding Subquery Syntax
- Example: Basic Subquery
- Example: Subquery with Step
- 2. Implementing Nested Aggregations
- Example: Nested Aggregation with Rate
- Example: Aggregating Over Time and Labels
- 3. Using Subqueries for Smoothing
- Example: Smoothing with rate() and window
- Example: Using subqueries for trend analysis
- 4. Calculating Moving Averages
- Example: 5-minute moving average of HTTP requests
- Example: 1-hour average of HTTP requests
- 5. Implementing Derivative Calculations
- Example: Derivative of Counter Metric
- Example: Instantaneous Delta
- 6. Using Subqueries with Functions
- Example: Using rate() with subqueries
- Example: Using increase() with subqueries
- Example: Using delta() with subqueries
- Example: Using deriv() with subqueries
- Example: Using clamp_min() with subqueries
- Example: Using clamp_max() with subqueries
- 7. Configuring Step Duration
- Example: Setting Step Duration in Subquery
- 8. Optimizing Subquery Performance
- Example: Optimized Subquery
- 9. Combining Subqueries with Offset
- Example: Using offset with rate
- 10. Debugging Subquery Results
- Example: Using
- Debugging Steps
- 11. Using Default Step Interval
- Example: Default Step Interval in Subquery
- 12. Implementing Multi-Level Subqueries
- Example: Multi-Level Aggregation
- Example: Nested Subqueries with Histograms
Implementing Advanced PromQL Patterns
- 1. Calculating Percentage Change
- Example: Percentage Change in HTTP Requests
- 2. Implementing Anomaly Detection
- Example: Detecting CPU Usage Anomalies
- Example: Detecting Network Traffic Spikes
- 3. Using Moving Averages
- Example: Calculating a 5-Minute Moving Average
- Example: Using Rate with a 10-Minute Window
- 4. Calculating Ratio Metrics
- Example: Calculating Error Rate
- Example: Error Rate with Label Filtering
- 5. Implementing Threshold Detection
- Example: Detecting High CPU Usage
- Example: Detecting Absent Metrics
- Threshold Detection Best Practices
- 6. Using Absent for Alerting
- Example: Alerting on Missing Metrics
- Example: Alerting on Missing Metrics with Time Range
- 7. Calculating Request Rates
- Example: Calculating Request Rate Per Second
- Example: Using irate for Alerting
- 8. Implementing SLO Queries
- Example: Basic SLO Query Using Counters
- Example: SLO Query with Latency Threshold
- SLO Query Components
- 9. Using Quantile Functions
- Example: Calculating Percentiles
- 10. Calculating Saturation Metrics
- Example: Calculating CPU Saturation
- 11. Implementing Cardinality Queries
- Example: Identifying High Cardinality Metrics
- Example: Monitoring Label Values
- 12. Using Label Functions for Grouping
- Example: Using label_replace()
- Example: Using label_join()
Using HTTP API Endpoints
- 1. Querying Instant Vectors
- Example: Querying a metric at a specific time
- Example: Querying a metric with default timestamp
- Example: Response format (JSON)
- 2. Querying Range Vectors
- Example: Querying Range Vectors
- Example: Matrix Response Format
- 3. Getting Series Metadata
- Example: Querying Series Metadata
- 4. Finding Label Values
- Example: Retrieving Label Values
- Example: Retrieving Label Values with Time Range
- 5. Getting All Label Names
- Example: Fetching All Label Names
- Example: Response Format
- 6. Querying Targets
- 7. Querying Rules
- Example: Querying Rules
- Example: Querying with Time
- Example: Querying with Timeout
- 8. Querying Alerts
- Example: Fetching Active Alerts
- Example: Fetching Alerts Grouped by Labels
- 9. Checking Health
- Example: Checking Health Status
- 10. Getting Configuration
- Example: Fetching Configuration
- 11. Getting Runtime Info
- Example: Fetching Runtime Info
- Example: Response Format
- 12. Managing TSDB
- Example: Delete Series
- Example: Snapshot TSDB
Configuring Recording Rules
- 1. Creating Rule Groups
- Example: Basic Rule Group Configuration
- 2. Defining Recording Rules
- Example: Basic Recording Rule
- 3. Setting Evaluation Interval
- Example: Configuring Evaluation Interval
- 4. Adding Labels to Rules
- Example: Adding Labels to Recording Rule
- 5. Organizing Rule Files
- Example: Rule file structure
- Example: Including rule files in main config
- 6. Naming Recording Rules
- Example: Naming Convention
- 7. Using Recording Rules for Performance
- Example: Recording Rule for CPU Usage
- Benefits of Recording Rules
- 8. Implementing Multi-Level Recording
- Example: Aggregating CPU Usage by Instance
- Multi-Level Recording Benefits
- 9. Validating Rule Syntax
- Example: Basic Rule Group Validation
- Example: Invalid Rule Expression
- 10. Monitoring Rule Evaluation
- Example: Rule Evaluation Configuration
- Rule Evaluation Process
- 11. Testing Recording Rules
- Example: Test recording rules with Prometheus console
- 12. Implementing Rule Dependencies
- Example: Rule Group with Dependency
Configuring Alerting Rules
- 1. Defining Alert Rules
- Example: Basic Alert Rule Definition
- 2. Setting Alert Duration
- Example: Setting Alert Duration
- 3. Adding Alert Labels
- Example: Alert Rule with Labels
- 4. Adding Alert Annotations
- Example: Alert Rule with Annotations
- 5. Using Templates in Annotations
- Example: Template in Annotation
- 6. Implementing Alert Severity
- Example: Alert Rule with Severity
- 7. Creating Alert Dependencies
- Example: Alert Dependency Using Recording Rules
- 8. Configuring Alert Thresholds
- Example: Static Threshold Alert Rule
- Example: Dynamic Threshold Using Rate
- 9. Using Absent Function
- Example: Detecting Missing Metrics
- 10. Validating Alert Rules
- Example: Basic Alert Rule Validation
- Example: Using promtool to Validate Rules
- Validation Steps
- 11. Testing Alert Expressions
- Example: Testing Alert Expression
- Testing Steps
- 12. Implementing Alerting Best Practices
- Key Principles
- Example: Alert Rule with Severity
- Example: Inhibition Rule
Working with Alertmanager Integration
- 1. Configuring Alertmanager URL
- Example: Alertmanager URL Configuration
- 2. Setting Up Static Alertmanagers
- Example: Static Alertmanager Configuration
- 3. Using Service Discovery for Alertmanagers
- Example: File-based Service Discovery
- Example: Kubernetes Service Discovery
- 4. Configuring Alert Relabeling
- Example: Relabeling job name
- Example: Dropping labels
- 5. Setting Alert Timeout
- Example: Configuring Alert Timeout
- 6. Configuring Alert Queue Capacity
- Example: Setting Alert Queue Capacity
- 7. Using External Labels for Routing
- Example: Alertmanager Configuration with External Labels
- 8. Implementing Alert Batching
- Example: Alertmanager Configuration for Batching
- 9. Configuring Basic Auth
- Example: Basic Auth Configuration
- 10. Setting Up TLS
- Example: Alertmanager TLS Configuration
- 11. Monitoring Alert Delivery
- Example: Configuring Alertmanager URL
- Alert Delivery Monitoring
- 12. Implementing Alert Deduplication
- Example: Alertmanager Configuration with Deduplication
- 5. Setting Alert Timeout
- Example: Configuring Alert Timeout
- 6. Configuring Alert Queue Capacity
- Example: Setting Alert Queue Capacity
- 7. Using External Labels for Routing
- Example: Alertmanager Configuration with External Labels
- 8. Implementing Alert Batching
- Example: Alertmanager Configuration for Batching
- 9. Configuring Basic Auth
- Example: Basic Auth Configuration
- 10. Setting Up TLS
- Example: Alertmanager TLS Configuration
- 11. Monitoring Alert Delivery
- Example: Configuring Alertmanager URL
- Alert Delivery Monitoring
- 12. Implementing Alert Deduplication
- Example: Alertmanager Configuration with Deduplication
Configuring Notification Templates
- 1. Using Template Variables
- Example: Alert Template with Variables
- 2. Implementing Conditional Logic
- Example: Using Go Templates for Conditional Logic
- Example: Nested Conditional Logic in Alert Templates
- 3. Using Range Loops
- Example: Iterating Over Labels
- Example: Processing Alert Values
- 4. Formatting Values
- Example: Using Value Formatting in Templates
- 5. Accessing External Labels
- Example: Using external labels in a template
- 6. Using Template Functions
- Example: Using Template Functions in Alertmanager Configuration
- 7. Implementing Multi-Line Templates
- Example: Multi-line template with line breaks
- Example: Template with multi-line message
- 8. Adding URLs to Annotations
- Example: Adding URL to Alert Annotations
- 9. Using Custom Template Functions
- Example: Defining a Custom Template Function
- 10. Testing Templates
- Example: Template Validation
- Example: Alert Template
- Template Testing Workflow
- 11. Implementing Runbook URLs
- Example: Alertmanager Configuration with Runbook URL
- 12. Using Dashboard Links
- Example: Dashboard URL Template
- Example: Dashboard Link in Alert
Working with Exporters
- 1. Understanding Exporter Pattern
- Example: Exporter Configuration
- 2. Using Node Exporter
- Example: Starting Node Exporter with Custom Configuration
- Key Features of Node Exporter
- 3. Using Blackbox Exporter
- Example: Configuring a Blackbox Exporter job
- Example: Probe configuration for DNS queries
- 4. Integrating Pushgateway
- Example: Pushing Metrics to Pushgateway
- 5. Configuring Custom Exporters
- Example: Running a Custom Exporter
- 6. Setting Exporter-Specific Parameters
- Example: Configuring Exporter Parameters
- 7. Using Exporter Labels
- Example: Adding Labels to Metrics
- 8. Implementing Textfile Collector
- Example: Textfile Collector Configuration
- Example: Textfile Format
- 9. Monitoring Exporter Health
- Example: Health Check Endpoint
- Example: Health Status Response
- 10. Handling Exporter Timeouts
- Example: Configuring Scrape Timeout
- Timeout Handling Best Practices
- 11. Using Community Exporters
- Example: Configuring Prometheus to Scrape Node Exporter
- 12. Implementing Multi-Target Exporters
- Example: Configuring Multi-Target Exporter
- Key Points
Using Pushgateway
- 1. Installing Pushgateway
- Example: Download and Run Pushgateway
- 2. Pushing Metrics to Gateway
- Example: Pushing Metrics to Pushgateway
- 3. Using Client Libraries
- Example: Pushing Metrics from Go
- Example: Pushing Metrics from Python
- 4. Configuring Job and Instance Labels
- Example: Setting Job and Instance Labels via CLI
- Example: Setting Labels via HTTP PUT Request
- 5. Deleting Metrics from Gateway
- Example: Delete a metric by name
- Example: Delete a metric by job and name
- 6. Configuring Persistence
- Example: Prometheus Configuration with Persistence Settings
- 7. Scraping Pushgateway from Prometheus
- Example: Basic Pushgateway Scrape Configuration
- Example: Pushgateway Scrape with Filtering
- 8. Understanding Push vs Pull Trade-offs
- Pushgateway vs Direct Pull
- 9. Implementing Batch Job Metrics
- Example: Pushing Metrics from a Batch Job
- 10. Using Pushgateway with Cron Jobs
- Example: Pushing Metrics from a Cron Job
- 11. Avoiding Pushgateway Pitfalls
- Example: Proper Labeling with Pushgateway
- 12. Monitoring Pushgateway Health
- Example: Checking Pushgateway Health
Implementing Custom Metrics
- 1. Using Client Libraries
- Example: Go Client Library
- Example: Python Client Library
- 2. Creating Counter Metrics
- Example: Registering a Counter in Go
- 3. Creating Gauge Metrics
- Example: Creating a Gauge Metric
- 4. Creating Histogram Metrics
- Example: Histogram Metric Definition
- Example: Recording Histogram Values
- 5. Creating Summary Metrics
- Example: Creating a Summary Metric in Go
- 6. Exposing Metrics Endpoint
- Example: Basic Metrics Endpoint Setup
- 7. Using Metric Registry
- Example: Registering a Counter Metric
- Example: Registering a Histogram Metric
- 8. Implementing Metric Labels
- Example: Adding Labels to a Counter Metric
- 9. Following Naming Conventions
- 10. Using Pushgateway for Batch Jobs
- Example: Pushing Metrics to Pushgateway
- 11. Implementing Metric Instrumentation
- Example: Registering a Counter Metric
- Example: Registering a Histogram Metric
- 12. Testing Custom Metrics
- Example: Unit Test for Custom Metric
- Testing Best Practices
Working with Kubernetes Integration
- 1. Using Kubernetes Service Discovery
- Example: Service Discovery Configuration
- 2. Discovering Pods
- Example: Querying Pod Metrics
- 3. Discovering Services
- Example: ServiceMonitor Configuration
- 4. Discovering Endpoints
- Example: Querying for label values
- Example: Discovering series matching a label
- 5. Discovering Nodes
- Example: Service Discovery Configuration
- 6. Using Ingress Discovery
- Example: Ingress Discovery Configuration
- Key Features of Ingress Discovery
- 7. Implementing Pod Annotations
- Example: Pod with Prometheus Annotations
- 8. Configuring Namespace Filtering
- Example: Filtering Metrics by Namespace
- 9. Using Relabeling for K8s Labels
- Example: Relabeling configuration for Kubernetes labels
- Key Concepts
- 10. Implementing Bearer Token Auth
- Example: Configuring Bearer Token in Prometheus
- 11. Scraping Kubelet Metrics
- Example: Prometheus configuration to scrape Kubelet metrics
- 12. Using Service Monitors
- Example: Basic ServiceMonitor
Configuring Prometheus Operator
- 1. Installing Prometheus Operator
- Example: Install via Helm
- 2. Creating Prometheus Custom Resource
- Example: Basic Prometheus CR
- 3. Configuring ServiceMonitor Resources
- Example: ServiceMonitor CR
- 4. Using PodMonitor Resources
- Example: PodMonitor CR
- 5. Creating PrometheusRule Resources
- Example: PrometheusRule CR
- 6. Configuring AlertmanagerConfig
- Example: AlertmanagerConfig CR
- 7. Using ThanosRuler Resources
- Example: ThanosRuler CR
- 8. Setting Resource Limits
- Example: Resource Limits in CR
- 9. Configuring Persistent Storage
- Example: Persistent Storage in CR
- 10. Using Additional Scrape Configs
- Example: Additional Scrape Configs
- 11. Implementing Remote Write with Operator
- Example: Remote Write Configuration
- 12. Monitoring Operator Resources
- Example: Monitoring Operator
Managing TSDB Storage
- 1. Understanding TSDB Directory Structure
- Example: TSDB Directory Layout
- 2. Configuring Data Retention
- Example: Configuring Data Retention
- 3. Using Write-Ahead Log
- Example: WAL Compression Configuration
- 4. Implementing Block Compaction
- Example: Compaction Configuration
- Compaction Process Overview
- 5. Configuring Chunk Encoding
- Example: Setting Chunk Compression
- 6. Setting Up Memory Mapping
- Example: Memory Mapping Configuration
- 7. Managing Disk Space
- Example: Configuring retention and storage limits
- Example: Monitoring disk usage via Prometheus metrics
- Workflow: Managing TSDB disk space
- Key Points
- 8. Implementing Snapshot API
- Example: Creating a Snapshot via HTTP API
- Example: Listing Snapshots
- Example: Deleting a Snapshot
- 9. Using Clean Tombstones
- Example: Configuring Tombstone Retention
- 10. Monitoring Storage Metrics
- Example: Querying Storage Metrics
- 11. Configuring Out-of-Order Samples
- Example: Enabling Out-of-Order Sample Storage
- 12. Using WAL Compression
- Example: Enabling WAL Compression
Configuring Storage Retention
- 1. Setting Retention Time
- Example: Configuring Retention Time
- 2. Configuring Retention Size
- Example: Setting retention size in Prometheus configuration
- 3. Setting Max Block Duration
- Example: Configuring max_block_duration
- 4. Understanding Retention Precedence
- Example: Setting retention via CLI flag
- Example: Setting retention in config file
- Retention Precedence Summary
- 5. Calculating Storage Requirements
- Example: Estimating Storage for 10M Samples
- Storage Calculation Factors
- 6. Monitoring Disk Usage
- Example: Disk Usage Alert Configuration
- 7. Implementing Retention Policies
- Example: Setting retention policy via config file
- 8. Using Remote Storage for Long-Term
- Example: Configuring remote_write
- Example: Configuring remote_read
- 9. Configuring Block Compaction
- Example: Compaction Configuration
- 10. Managing Head Block Size
- Example: Adjusting Head Block Size
- 11. Setting Minimum Block Duration
- Example: Configuring min-block-duration
- 12. Understanding Tombstone Cleanup
- Example: Configuring Tombstone Cleanup
Implementing Remote Write
- 1. Configuring Remote Write
- Example: Basic remote write configuration
- 2. Setting Remote Write URL
- Example: Configure remote write URL
- 3. Configuring Write Relabeling
- Example: Relabeling for Job Name
- 4. Setting Queue Configuration
- Example: Remote Write Queue Configuration
- 5. Implementing Basic Auth
- Example: Configuring Basic Auth in Prometheus
- 6. Configuring TLS
- Example: TLS Configuration in Prometheus Config
- 7. Using External Labels
- Example: Configuring External Labels in Prometheus
- 8. Setting Capacity and Batching
- Example: Configuring remote write batching
- 9. Configuring Send Exemplars
- Example: Enabling Send Exemplars
- 10. Implementing Retry Logic
- Example: Configuring Retry Logic
- 11. Monitoring Remote Write
- Example: Configuring Remote Write
- Remote Write Monitoring Metrics
- 12. Tuning Remote Write Performance
- Example: Tuning remote_write settings in Prometheus config
- Performance Tuning Tips
Implementing Remote Read
- 1. Configuring Remote Read
- Example: Basic Remote Read Configuration
- Example: Remote Read with Authentication
- 2. Setting Remote Read URL
- Example: Configuring remote read URL in Prometheus config
- 3. Configuring Read Recent
- Example: Configuring Read Recent
- 4. Using Remote Timeout
- Example: Configuring remote read timeout
- 5. Implementing Basic Auth
- Example: Basic Auth Configuration
- 6. Configuring TLS
- Example: TLS Configuration in Prometheus Config
- 7. Using Required Matchers
- Example: Using Required Matchers in Remote Read
- 8. Implementing Filter External Labels
- Example: Filtering External Labels
- 9. Configuring Name Filtering
- Example: Name Filtering Configuration
- 10. Monitoring Remote Read
- Example: Remote Read Configuration
- 11. Optimizing Remote Read Performance
- Example: Remote Read Configuration
- Optimization Tips
- 12. Combining Local and Remote Data
- Example: Combining Local and Remote Data
- Key Considerations
Setting Up Federation
- 1. Configuring Federate Endpoint
- Example: Federation Configuration
- 2. Selecting Metrics for Federation
- Example: Selecting Metrics for Federation
- Best Practices for Metric Selection
- 3. Implementing Hierarchical Federation
- Example: Federation Configuration
- Key Concepts
- 4. Using Cross-Service Federation
- Example: Federation Configuration
- Example: Remote Write Configuration
- Key Points
- 5. Configuring Honor Labels
- Example: Configuring honor_labels in Prometheus scrape configuration
- 6. Setting Scrape Federation Targets
- Example: Federation Configuration
- 7. Implementing Global View
- Example: Federation Configuration
- Global View Implementation Steps
- 8. Using External Labels
- Example: Configuring External Labels in Prometheus
- 9. Optimizing Federation Queries
- Example: Using PromQL to Reduce Federation Load
- Example: Federation Rule with Query Optimization
- Query Optimization Tips
- 10. Monitoring Federation Performance
- Example: Alerting on Remote Storage Failures
- 11. Implementing Partial Federation
- Example: Federation Configuration
- 12. Handling Federation Failures
- Example: Configuring Federation with Retry Logic
- Failure Handling Best Practices
Using Prometheus Agent Mode
- 1. Understanding Agent Mode Purpose
- Example: Agent Mode Configuration
- 2. Enabling Agent Mode
- Example: Enabling Agent Mode in Prometheus Configuration
- 3. Configuring Remote Write Endpoint
- Example: Configuring remote_write in Prometheus
- 4. Understanding Storage Differences
- Example: Remote Write Configuration
- 5. Using Agent for Edge Deployments
- Example: Agent Configuration for Edge Deployment
- Key Considerations for Edge Deployments
- 6. Configuring WAL in Agent Mode
- Example: WAL Configuration in Agent Mode
- 7. Implementing Agent Discovery
- Example: Kubernetes Service Discovery
- 8. Setting Resource Limits
- Example: Configuring Resource Limits
- 9. Monitoring Agent Health
- Example: Agent Health Check Endpoint
- Health Check Configuration
- 10. Using Agent with Thanos Receive
- Example: Agent Configuration with Thanos Receive
- 11. Implementing Agent High Availability
- Example: Configuring Prometheus Agent for High Availability
- High Availability Setup Steps
- 12. Debugging Agent Issues
- Example: Agent logs for debugging
Integrating with Thanos
- 1. Understanding Thanos Architecture
- Thanos Components Overview
- Thanos vs Prometheus
- 2. Using Thanos Sidecar
- Example: Sidecar Configuration
- 3. Configuring Thanos Query
- Example: Basic Thanos Query Configuration
- 4. Implementing Thanos Store Gateway
- Example: Store Gateway Configuration
- Key Features
- 5. Setting Up Thanos Compactor
- Example: Basic Thanos Compactor Configuration
- 6. Using Thanos Ruler
- Example: Basic Thanos Ruler Configuration
- Key Features of Thanos Ruler
- 7. Configuring Thanos Receive
- Example: Basic Thanos Receive Configuration
- 8. Implementing Object Storage
- Example: S3 Configuration
- Key Considerations
- 9. Using Thanos Query Frontend
- Example: Configuring Thanos Query Frontend
- Key Features
- 10. Configuring Deduplication
- Example: Enabling Deduplication
- 11. Implementing Multi-Cluster Monitoring
- Example: Configuring Thanos for Multi-Cluster Setup
- Key Steps for Multi-Cluster Setup
- 12. Monitoring Thanos Components
- Example: Querying Thanos Component Metrics
Integrating with Grafana
- 1. Adding Prometheus Data Source
- Example: Add Prometheus as a data source in Grafana
- 2. Configuring Authentication
- Example: Basic Authentication Configuration
- Example: JWT Authentication Configuration
- Example: OAuth2 Authentication Configuration
- 3. Using PromQL in Grafana
- Example: Basic Query in Grafana
- Example: Aggregation with Grouping
- Example: Alerting with PromQL
- Key PromQL Functions in Grafana
- 4. Creating Dashboards
- Example: Basic Dashboard Configuration
- Dashboard Creation Steps
- 5. Implementing Template Variables
- Example: Using Template Variables in Grafana Dashboard
- Template Variable Configuration Options
- 6. Using Exemplar Integration
- Example: Adding Exemplars to Metrics
- Key Points
- 7. Configuring Alert Rules
- Example: Basic Alert Rule Configuration
- Example: Alert with Multiple Conditions
- Example: Alert with Recording Rule
- 8. Implementing Annotations
- Example: Annotation in Prometheus Rule
- 9. Using Explore Mode
- Example: Querying metrics in Explore mode
- Explore vs. Dashboard Panels
- 10. Importing Community Dashboards
- Example: Importing a Dashboard via UI
- 11. Configuring Recording Rules in Grafana
- Example: Recording Rule Configuration
- 12. Implementing Dashboard Provisioning
- Example: Grafana Dashboard Configuration
- Example: Dashboard JSON Definition
Implementing Cardinality Management
- 1. Monitoring Series Count
- Example: Querying Series Count
- 2. Identifying High-Cardinality Labels
- Example: Monitoring label cardinality in Prometheus
- Best Practices for Label Cardinality
- 3. Using Relabeling to Drop Labels
- Example: Dropping Unwanted Labels
- 4. Implementing Label Limits
- Example: Configuring label limits in Prometheus
- 5. Configuring Sample Limits
- Example: Configuring sample limits in Prometheus configuration
- 6. Using Metric Relabeling
- Example: Rename a Label
- Example: Drop Metrics Based on Label Value
- 7. Dropping Unwanted Metrics
- Example: Using Relabeling to Drop Metrics
- 8. Implementing Target Relabeling
- Example: Replace Address Label
- Example: Drop Metrics Based on Label
- 9. Monitoring Cardinality Growth
- Example: Alerting on High Cardinality
- 10. Using TSDB Status Page
- Example: Accessing TSDB Status Page
- 11. Optimizing Label Design
- Example: Label Design for HTTP Metrics
- 12. Avoiding Cardinality Explosions
- Example: Label values with high cardinality
- Best Practices
Optimizing Query Performance
- 1. Using Recording Rules
- Example: Recording Rule Configuration
- 2. Limiting Query Range
- Example: Limiting Query Range
- 3. Avoiding High-Cardinality Queries
- Example: High-cardinality query
- Example: Optimized query
- 4. Using Efficient Selectors
- Example: Efficient Selector Usage
- 5. Implementing Query Timeouts
- Example: Setting Query Timeout in Prometheus Configuration
- 6. Configuring Max Samples
- Example: Setting max_samples in Prometheus configuration
- 7. Using Subqueries Efficiently
- Example: Efficient Subquery with Aggregation
- Example: Range Vector Subquery
- 8. Avoiding Regex Overuse
- Example: Inefficient Regex Usage
- Example: Efficient Alternative
- 9. Implementing Result Caching
- Example: Using Prometheus Caching with Grafana
- Best Practices for Caching
- 10. Monitoring Query Performance
- Example: Using Prometheus UI to Monitor Query Performance
- Example: Querying Query Duration Histogram
- Query Performance Monitoring Best Practices
- 11. Using Lookback Delta
- Example: Configuring lookback_delta
- 12. Optimizing Aggregations
Implementing Performance Tuning
- 1. Optimizing Scrape Interval
- Example: Configuring scrape interval
- 2. Configuring Evaluation Interval
- Example: Setting Evaluation Interval
- 3. Tuning Storage Retention
- Example: Setting retention policy
- 4. Implementing Recording Rules
- Example: Recording Rule for HTTP Request Rate
- 5. Optimizing Label Cardinality
- Example: High Cardinality Label (Not Recommended)
- Example: Optimized Label Usage
- Label Cardinality Optimization Tips
- 6. Configuring Memory Limits
- Example: Setting Memory Limits
- 7. Using WAL Compression
- Example: Enabling WAL Compression
- Example: Using Zstd Compression (v2.35+)
- 8. Implementing Query Concurrency
- Example: Configuring Query Concurrency
- 9. Tuning Compaction Settings
- Example: Compaction Configuration
- 10. Optimizing Remote Write
- Example: Basic Remote Write Configuration
- Example: Optimized Queue Configuration
- 11. Using Chunk Encoding
- Example: Configuring chunked encoding in Prometheus
- 12. Monitoring Resource Usage
- Example: Querying CPU Usage
- Example: Querying Memory Usage
Monitoring Prometheus Itself
- 1. Tracking Scrape Duration
- Example: Querying Scrape Duration
- 2. Monitoring Sample Ingestion
- Example: Configuring Sample Ingestion
- 3. Checking WAL Corruption
- Example: Running WAL Integrity Check
- 4. Monitoring Rule Evaluation
- Example: Rule Evaluation Configuration
- Example: Recording Rule
- Example: Alerting Rule
- 5. Tracking Query Performance
- Example: Querying for slow queries
- Example: Monitoring query sample count
- Query Performance Best Practices
- 6. Monitoring Storage Size
- Example: Setting Storage Retention Size
- Storage Size Monitoring Tips
- 7. Checking Scrape Failures
- Example: Checking scrape failures via Prometheus UI
- Example: Querying scrape failures in Prometheus
- Example: Alerting on scrape failures
- 8. Tracking Remote Write
- Example: Remote Write Configuration
- Remote Write Key Features
- 9. Monitoring Memory Usage
- Example: Memory Usage Configuration
- 10. Checking Compaction Status
- Example: Querying Compaction Metrics
- 11. Tracking Time Series Count
- Example: Querying Series Count
- Example: Monitoring Series Growth
- 12. Monitoring Alert Queue
- Example: Alert Queue Metrics
Debugging and Troubleshooting
- 1. Checking Prometheus Logs
- Example: Log levels and configuration
- Example: Log file configuration
- Common Log Messages
- 2. Using Promtool for Validation
- Example: Validate a Prometheus Rule File
- Example: Validate a Prometheus Configuration File
- Example: Validate a Rule File with Custom Rules
- 3. Debugging Scrape Failures
- Example: Configuring scrape timeout and interval
- Common Scrape Failure Causes
- Scrape Failure Troubleshooting Steps
- 4. Investigating Target Status
- Example: Querying target status via Prometheus API
- Example: Filtering targets by job name
- Common Target Status Issues
- 5. Debugging Relabeling
- Example: Relabeling Configuration
- Debugging Steps
- Common Relabeling Actions
- 6. Using Query Inspector
- Example: Inspecting a Query in Prometheus
- Steps to Use Query Inspector
- Query Inspector vs Direct Query
- 7. Debugging Missing Metrics
- Example: Checking Metric Exposure
- Common Causes of Missing Metrics
- 8. Investigating High Memory Usage
- Example: Memory Metrics Query
- Example: Query Duration Analysis
- 9. Debugging Alert Rules
- Example: Alert Rule Definition
- Example: Querying Alert State
- Workflow: Debugging Alert Rule Issues
- 10. Using TSDB Status
- Example: Querying TSDB Status
- 11. Checking Recording Rule Evaluation
- Example: Querying Recording Rule Metrics
- Example: Checking Rule Evaluation Duration
- 12. Debugging Federation Issues
- Example: Federation Configuration
Troubleshooting Common Issues
- 1. Resolving Out of Memory Errors
- Example: Adjusting scrape settings to reduce memory usage
- Example: Using metric relabeling to drop high-cardinality metrics
- 2. Fixing Failed Scrapes
- Example: Configuring Basic Auth for Scraping
- 3. Debugging Missing Metrics
- Example: Checking Metric Exposure
- Common Causes of Missing Metrics
- 4. Resolving High Cardinality
- Example: Relabeling to Reduce Cardinality
- 5. Fixing Slow Queries
- Example: Optimizing a Slow Query
- 6. Debugging WAL Corruption
- Example: Using promtool to check WAL
- 7. Resolving Disk Space Issues
- Example: Configuring Retention Policy
- 8. Fixing Rule Evaluation Failures
- Example: Alert Rule with Syntax Error
- Example: Valid Alert Rule
- Common Causes of Rule Evaluation Failures
- Steps to Debug Rule Evaluation Failures
- 9. Debugging Remote Write Failures
- Example: Configuring remote write with debug logging
- Steps to Debug Remote Write Failures
- Common Remote Write Issues
- 10. Resolving Target Discovery Issues
- Example: Kubernetes SD Config
- 11. Fixing Alert Routing Problems
- Example: Alertmanager Route Configuration
- 12. Debugging TLS Connection Issues
- Example: TLS Configuration in Prometheus
Using Command-Line Flags
- 1. Setting Configuration File
- Example: Setting Configuration File
- 2. Configuring Storage Path
- Example: Setting Storage Path and Retention
- 3. Setting Retention Time
- Example: Setting 30-day retention
- Example: Setting 50GB size limit
- 4. Configuring Retention Size
- Example: Setting retention size to 50GB
- 5. Setting Web Listen Address
- Example: Change Web Listen Address
- 6. Configuring External URL
- Example: Setting External URL
- 7. Enabling Feature Flags
- Example: Enabling Feature Flags
- 8. Setting Query Timeout
- Example: Setting Query Timeout
- 9. Configuring Max Samples
- Example: Setting Max Samples Per Chunk
- 10. Setting Log Level
- Example: Setting Log Level to Debug
- 11. Configuring WAL Compression
- Example: Enabling WAL Compression
- 12. Setting Max Block Duration
- Example: Setting Max Block Duration
Using Promtool CLI
- 1. Validating Configuration
- 2. Checking Rule Files
- Example: Validating a rule file
- 3. Testing Rules Against Data
- Example: Testing a Rule
- 4. Querying Prometheus
- Example: Querying rate of HTTP requests
- Example: Using Promtool to query a range
- 5. Debugging Metrics
- 6. Checking Metric Format
- Example: Valid Metric Format
- Example: Invalid Metric Format
- Workflow: Validate Metrics Using Promtool
- 7. Importing TSDB Data
- Example: Importing TSDB data using promtool
- 8. Analyzing TSDB Blocks
- Example: Analyze TSDB block
- 9. Creating TSDB Snapshots
- Example: Creating a TSDB Snapshot
- 10. Dumping TSDB Data
- Example: Dumping TSDB data to JSON
- 11. Running Unit Tests
- Example: Test a Prometheus rule file
- 12. Benchmarking Queries
- Example: Benchmarking a Query
Implementing Backup and Recovery
- 1. Creating TSDB Snapshots
- Example: Create a Snapshot
- 2. Backing Up Data Directory
- 3. Using Remote Write for Backup
- Example: Remote Write Configuration
- 4. Implementing Point-in-Time Recovery
- Recovery Steps
- 5. Backing Up Configuration Files
- Example: Backup Script
- 6. Testing Backup Restoration
- 7. Automating Backup Schedule
- Example: Cron Job
- 8. Monitoring Backup Success
- Example: Alert Rule
- 9. Implementing Disaster Recovery Plan
- Disaster Recovery Steps
- 10. Using Cloud Storage for Backups
- Example: Upload to S3
- 11. Implementing Incremental Backups
- 12. Validating Restored Data
- Example: Query Validation
Configuring High Availability
- 1. Running Multiple Prometheus Instances
- Example: Configuring HA with two Prometheus instances
- 2. Using Thanos for HA
- Example: Basic Thanos Setup
- Thanos vs Native Prometheus HA
- Thanos HA Setup Workflow
- 3. Implementing Deduplication
- Example: Enabling Deduplication
- 4. Configuring Load Balancing
- Example: Load Balancer Configuration
- 5. Using Remote Storage for HA
- Example: Configuring Remote Write
- Example: Configuring Remote Read
- 6. Implementing Alert Deduplication
- Example: Alertmanager Configuration with Deduplication
- 7. Setting Up Cross-Region Replication
- Example: Remote Write Configuration
- Example: Remote Read Configuration
- 8. Using Consistent Hashing
- Example: Configuring Consistent Hashing
- 9. Implementing Health Checks
- Example: HTTP Probe Configuration
- Example: TCP Probe Configuration
- 10. Monitoring HA Setup
- Example: HA Setup Overview
- HA Monitoring Workflow
- HA Modes Comparison
- 11. Handling Split-Brain Scenarios
- Example: Configuring Quorum in Prometheus
- Best Practices for Split-Brain Prevention
- 12. Implementing Failover Strategies
- Example: Active-Passive Setup
Implementing Sharding and Scaling
- 1. Sharding by Hash
- Example: Configuring Hash Sharding
- 2. Sharding by Target
- Example: Configuring sharding by target label
- 3. Using Modulus Relabeling
- Example: Configuring Modulus Relabeling
- 4. Implementing Horizontal Scaling
- Example: Configuring Prometheus for Horizontal Scaling
- Horizontal Scaling Strategies
- Steps to Implement Horizontal Scaling
- 5. Configuring Shard Count
- Example: Setting Shard Count in Configuration
- 6. Using Service Discovery Filtering
- Example: Filtering by Label in Prometheus Configuration
- 7. Implementing Dynamic Sharding
- Example: Dynamic sharding configuration
- 8. Balancing Shard Load
- Example: Load Balancing Configuration
- Load Balancing Best Practices
- 9. Monitoring Shard Performance
- Example: Querying Head Series Count
- Example: Monitoring Compaction Duration
- 10. Using Thanos for Scaling
- Example: Deploying Thanos with Prometheus
- Thanos Scaling Benefits
- 11. Implementing Cross-Shard Queries
- Example: Cross-shard metric aggregation
- Key Considerations for Cross-Shard Queries
- 12. Planning Capacity for Shards
- Example: Shard Capacity Estimation
- Key Considerations
Configuring Exemplars
- 1. Understanding Exemplar Concept
- Example: Enabling Exemplars in Configuration
- 2. Enabling Exemplar Storage
- Example: Enabling Exemplar Storage
- 3. Configuring Exemplar Retention
- Example: Prometheus Configuration with Exemplar Retention
- 4. Scraping Exemplars from Targets
- Example: Enabling exemplar scraping in Prometheus config
- 5. Querying Exemplars via API
- Example: Querying exemplars via API
- Response Format
- 6. Using Exemplars in Histograms
- Example: Configuring Histogram with Exemplars
- Example: Histogram Metric with Exemplar
- 7. Integrating with Tracing Systems
- Example: Enabling exemplar storage in Prometheus config
- Tracing System Integration Options
- Integration Workflow
- 8. Configuring Exemplar Limits
- Example: Setting exemplar limits in Prometheus configuration
- 9. Visualizing Exemplars
- Example: Grafana Dashboard with Exemplars
- Key Points for Visualization
- 10. Monitoring Exemplar Storage
- Example: Configuring exemplar storage in Prometheus
- 11. Implementing Exemplar Best Practices
- Example: Configuring Exemplar Storage
- Best Practices for Exemplar Configuration
- 12. Using Exemplars for Debugging
- Example: Enabling Exemplar Storage
- Key Points
Implementing Native Histograms
- 1. Understanding Native Histograms
- Example: Histogram Configuration
- 2. Enabling Native Histograms
- Example: Enabling Native Histograms via CLI
- 3. Scraping Native Histograms
- Example: Configuring Native Histograms in Prometheus
- 4. Querying Native Histograms
- Example: Calculating Quantiles from Native Histograms
- Example: Comparing Histograms with Different Buckets
- 5. Using Histogram Operators
- Example: Calculating 95th Percentile
- Example: Histogram with Custom Buckets
- 6. Configuring Bucket Schema
- Example: Setting bucket schema in Prometheus configuration
- 7. Converting Classic to Native
- Example: Converting Classic Histogram to Native
- 8. Calculating Aggregations
- Example: Calculating Sum and Count
- Example: Calculating Quantiles
- 9. Implementing Histogram Merging
- Example: Merging Histograms in Go
- 10. Monitoring Native Histogram Storage
- Example: Configuring Native Histogram Storage
- 11. Understanding Bucket Resolution
- Example: Setting Bucket Resolution in Prometheus
- 12. Implementing Custom Bucket Boundaries
- Example: Defining Custom Buckets in Prometheus
Configuring Console Templates
- 1. Creating Console Template Files
- Example: Basic Console Template Structure
- 2. Using Template Syntax
- Example: Basic Template Syntax
- Example: Conditional Rendering
- Example: Looping Through Data
- 3. Implementing Navigation Links
- Example: Navigation Link Configuration
- 4. Querying Metrics in Templates
- Example: Using query function
- Example: Using query_range function
- 5. Creating Dynamic Dashboards
- Example: Basic Dashboard Configuration
- Example: Dashboard Template with Metrics
- Example: Using Template Functions
- 6. Using Template Libraries
- Example: Using Grafana Console Templates
- 7. Implementing Graphs
- Example: Basic Graph Configuration
- Example: Querying Metrics for Graphs
- Example: Using Template Variables in Graphs
- 8. Formatting Metric Values
- Example: Using bytes formatting in a console template
- Example: Using duration formatting in a console template
- 9. Creating Reusable Components
- Example: Define a reusable template component for metrics
- 10. Configuring Console Library Path
- Example: Setting Console Library Path
- 11. Implementing Conditional Rendering
- Example: Basic Conditional in Template
- 12. Using Table Formatting
- Example: Table Formatting in Console Templates
Implementing Best Practices
- 1. Following Naming Conventions
- Example: Naming Convention in Practice
- 2. Designing Low-Cardinality Labels
- Example: High Cardinality Label (Avoid)
- Example: Low Cardinality Label (Recommended)
- Key Principles
- 3. Using Instrumentation Libraries
- Example: Instrumenting a Go Application
- Example: Instrumenting a Python Application
- 4. Implementing Four Golden Signals
- Example: Alerting on Error Rate
- 5. Avoiding Missing Metrics
- Example: Labeling best practices to prevent missing data
- Best Practices Summary
- 6. Using Direct Instrumentation
- Example: Instrumenting a Web Server
- 7. Implementing Metric Aggregation
- Example: Histogram Aggregation
- Example: Counter Aggregation
- 8. Using Recording Rules Wisely
- Example: Recording Rule for CPU Usage
- Best Practices for Recording Rules
- 9. Following Alert Design Patterns
- Example: Alertmanager Silence Configuration
- Key Principles for Alert Design
- 10. Implementing Runbook Links
- Example: Alert with Runbook Link
- 11. Using External Labels
- Example: Setting External Labels in Prometheus Configuration
- 12. Testing Configuration Changes
- Example: Testing Prometheus Configuration
- Testing Configuration Changes