62 SECTIONS · 1748 TOPICS
Elk Stack Roadmap
Understanding ELK Stack Architecture
- 1. Understanding Elasticsearch Components
- Example: Node Types in Elasticsearch
- 2. Understanding Logstash Pipeline Architecture
- Example: Basic Logstash Pipeline Configuration
- Key Concepts in Pipeline Architecture
- 3. Understanding Kibana Role
- Example: Creating a Kibana Dashboard
- 4. Understanding Beats Purpose
- Example: Filebeat Configuration
- 5. Understanding Data Flow
- ELK Stack Data Flow Process
- Example: Logstash Pipeline Configuration
- Key Data Flow Concepts
- 6. Understanding Node Types
- 7. Understanding Cluster Coordination
- Example: Cluster State Update
- Key Coordination Mechanisms
- 8. Understanding Shard Distribution
- Example: Shard Distribution Configuration
- Shard Distribution Principles
- 9. Understanding Document Storage
- Example: Indexing a Document
- Storage Overview
- 10. Understanding Query Execution
- Example: Basic Query Execution in Elasticsearch
- Query Execution Flow
- 11. Understanding Scaling Models
- Vertical vs Horizontal Scaling
- Example: Elasticsearch Shard Distribution
- Scaling Considerations for ELK Stack
Installing and Setting Up Elasticsearch
- 1. Installing Elasticsearch
- Example: Docker Run Command
- 2. Configuring JVM Heap Size
- Example: Setting Heap Size in jvm.options
- Best Practices for Heap Size
- 3. Setting Up Network Bindings
- Example: Binding to All Interfaces
- 4. Configuring Cluster Name
- Example: Setting Cluster Name
- 5. Setting Up Node Roles
- Example: Configure Node Roles
- 6. Configuring Path Settings
- Example: Setting custom paths in elasticsearch.yml
- 7. Setting Up Environment Variables
- Example: Elasticsearch Environment Configuration
- Best Practices for Environment Variables
- 8. Configuring Cluster Discovery
- Example: Basic Cluster Discovery Configuration
- 9. Starting and Stopping Services
- Starting Elasticsearch Service
- Stopping Elasticsearch Service
- 10. Verifying Installation
- Example: Check Elasticsearch Status
- Example: List All Indices
- 11. Configuring Bootstrap Checks
- Example: Enabling Memory Lock
Installing and Setting Up Logstash
- 1. Installing Logstash
- Example: Running Logstash via Docker
- 2. Understanding Pipeline Configuration
- Example: Basic Pipeline Configuration
- 3. Creating Basic Pipeline
- Example: Basic Logstash Configuration
- Configuration Components
- 4. Configuring JVM Heap Size
- Example: Setting JVM Heap Size in logstash.yml
- 5. Setting Up Path Settings
- Example: Configuring Path Settings in logstash.yml
- 6. Setting Up Environment Variables
- Example: Logstash Environment Configuration
- 7. Starting and Stopping Services
- Starting Logstash Service
- Example: Starting Logstash with systemd
- Stopping Logstash Service
- Example: Stopping Logstash with systemd
- 8. Verifying Installation
- Example: Check Logstash version
- 9. Configuring Pipeline Workers
- Example: Setting Pipeline Workers
- 10. Setting Up Multiple Pipelines
- Example: Configuring Multiple Pipelines
- Example: Pipeline Configuration Files
- 11. Testing Configuration
- Example: Test Logstash Configuration
Installing and Setting Up Kibana
- 1. Installing Kibana
- Example: Docker Installation
- 2. Configuring Elasticsearch Connection
- Example: Basic Elasticsearch Connection Configuration
- 3. Setting Server Configuration
- Example: Basic Kibana server configuration
- Example: Kibana with SSL enabled
- 4. Configuring Base Path
- Example: Setting base_path in kibana.yml
- 5. Setting Up Environment Variables
- Example: Kibana Environment Configuration
- 6. Starting and Stopping Services
- Example: Starting Kibana service
- 7. Verifying Installation
- Example: Check Kibana service status
- Example: Access Kibana web UI
- Verification Steps
- 8. Configuring Logging
- Example: Logging Configuration in kibana.yml
- 9. Setting Up Time Zone
- Example: Configuring Time Zone in kibana.yml
- 10. Configuring Memory Limits
- Example: Setting Memory Limits via node.options
Working with Beats
- 1. Understanding Beats Family
- Example: Filebeat Configuration
- 2. Installing Filebeat
- Example: Verify Installation
- 3. Configuring Filebeat Inputs
- Example: Filebeat input configuration
- 4. Using Filebeat Modules
- Example: Enabling the Apache2 Module
- Example: Configuring the Nginx Module
- 5. Installing Metricbeat
- Example: Basic Metricbeat Configuration
- 6. Configuring Metricbeat Modules
- Example: Enabling and Configuring the Elasticsearch Module
- Example: Enabling the System Module
- 7. Using Packetbeat
- Example: Basic Packetbeat Configuration
- 8. Using Heartbeat
- Example: Basic TCP Check Configuration
- Example: HTTP Check with Status Code Validation
- 9. Using Auditbeat
- Example: Basic Auditbeat Configuration
- 10. Configuring Output to Elasticsearch
- Example: Basic Elasticsearch Output Configuration
- Example: Secure Elasticsearch Output with SSL
- 11. Configuring Output to Logstash
- Example: Basic Logstash Output Configuration
- Example: Advanced Logstash Output with Compression
- 12. Managing Beat Modules
- Example: Enabling the system module
- Example: Enabling the apache module
- 4. Using Filebeat Modules
- Example: Enabling the Apache2 Module
- Example: Configuring the Nginx Module
- 5. Installing Metricbeat
- Example: Basic Metricbeat Configuration
- 6. Configuring Metricbeat Modules
- Example: Enabling and Configuring the Elasticsearch Module
- Example: Enabling the System Module
- 7. Using Packetbeat
- Example: Basic Packetbeat Configuration
- 8. Using Heartbeat
- Example: Basic TCP Check Configuration
- Example: HTTP Check with Status Code Validation
- 9. Using Auditbeat
- Example: Basic Auditbeat Configuration
- 10. Configuring Output to Elasticsearch
- Example: Basic Elasticsearch Output Configuration
- Example: Secure Elasticsearch Output with SSL
- 11. Configuring Output to Logstash
- Example: Basic Logstash Output Configuration
- Example: Advanced Logstash Output with Compression
- 12. Managing Beat Modules
- Example: Enabling the system module
- Example: Enabling the apache module
Working with Fleet and Elastic Agent
- 1. Understanding Fleet Architecture
- Example: Fleet Server Configuration
- Deployment Workflow
- 2. Installing Fleet Server
- Example: Install Fleet Server on Linux
- Installation Steps
- 3. Enrolling Elastic Agents
- Example: Enroll an Elastic Agent
- 4. Creating Agent Policies
- Example: Basic Fleet Policy Creation
- Policy Creation Steps
- 5. Managing Integrations
- Example: Install a new integration
- Managing Integrations Overview
- 6. Configuring Agent Output
- Example: Basic Elasticsearch Output Configuration
- Example: Secure Elasticsearch Output with SSL
- 7. Updating Agents Remotely
- Example: Update Agent via CLI
- 8. Monitoring Agent Status
- Example: Check Agent Status via API
- 9. Using Standalone Mode
- Example: Standalone Mode Configuration
- 10. Configuring Proxy Settings
- Example: Fleet Server Proxy Configuration
- 11. Managing Multiple Agent Policies
- Example: Creating a New Agent Policy
- 12. Troubleshooting Agent Issues
- Example: Check Agent Status
- Example: Validate Configuration
Working with Indices
- 1. Creating Indices
- Example: Creating an Index with Settings
- Example: Creating an Index Using cURL
- 2. Listing All Indices
- 3. Viewing Index Settings
- Example: Retrieve Index Settings
- 4. Checking Index Stats
- Example: Retrieve Index Stats
- Example: Retrieve Index Stats with Specific Metrics
- 5. Opening and Closing Indices
- 6. Deleting Indices
- Example: Delete a Single Index
- Example: Delete Multiple Indices
- 7. Setting Index Aliases
- Example: Create an Index Alias
- Example: Add Filtered Alias
- 8. Forcing Index Refresh
- Example: Refresh a Single Index
- Example: Refresh Multiple Indices
- 9. Flushing Indices
- Example: Flushing an Index
- Example: Flushing All Indices
- Example: Sync Flush
- Manual Flush Workflow
- When to Flush Indices
- 10. Reindexing Data
- Example: Basic Reindexing
- Example: Reindexing with Script Transformation
- Example: Reindexing with Conflicts Handling
- 11. Cloning Indices
- Example: Clone an Index
Managing Index Mappings
- 1. Understanding Mapping Types
- Example: Defining a Mapping with Different Types
- 2. Defining Field Types
- Example: Defining a Mapping with Various Field Types
- 3. Creating Explicit Mappings
- Example: Defining a mapping for a log document
- 4. Viewing Index Mappings
- Example: Retrieve Index Mapping
- Example: Get Field Mapping
- 5. Using Dynamic Mapping
- Example: Enabling Dynamic Mapping
- Example: Strict Dynamic Mapping
- 6. Updating Mappings
- Example: Updating Field Analyzer
- 7. Setting Multi-Fields
- Example: Multi-field Mapping Configuration
- 8. Using Nested Objects
- Example: Indexing Nested Objects
- Example: Querying Nested Objects
- 9. Configuring Parent-Child Relationships
- Example: Indexing Parent-Child Documents
- Example: Indexing Child Documents
- 10. Setting Field Properties
- Example: Defining a field with properties
- 11. Disabling Dynamic Mapping
- Example: Disabling Dynamic Mapping
Configuring Analyzers and Tokenizers
- 1. Understanding Analysis Process
- Example: Defining a Custom Analyzer
- 2. Using Standard Analyzer
- Example: Configure Standard Analyzer in Index Settings
- 3. Using Keyword Analyzer
- Example: Configure Keyword Analyzer
- 4. Using Simple Analyzer
- Example: Configuring Simple Analyzer
- 5. Using Whitespace Analyzer
- Example: Configuring Whitespace Analyzer
- 6. Creating Custom Analyzers
- Example: Define a Custom Analyzer
- 7. Configuring Tokenizers
- Example: Custom Tokenizer Configuration
- 8. Using Token Filters
- Example: Configuring a Custom Token Filter
- 9. Using Character Filters
- Example: Using html_strip filter
- Example: Using mapping filter
- 10. Testing Analyzers
- Example: Test Analyzer with Sample Text
- Example: Analyze Response
- 11. Configuring Language Analyzers
- Example: Using a Custom Language Analyzer
- 12. Setting Normalizers
- Example: Custom Normalizer Configuration
Working with Index Templates
- 1. Understanding Template Types
- 2. Creating Index Templates
- Example: Basic Index Template
- Example: Template with Dynamic Mapping
- 3. Viewing Index Templates
- Example: Retrieve Index Template
- Example: List All Index Templates
- 4. Setting Template Priority
- Example: Setting Priority in Index Template
- 5. Using Component Templates
- Example: Define a Component Template
- 6. Composing Templates
- Example: Basic Index Template Structure
- Example: Template with Alias and Settings
- 7. Updating Index Templates
- Example: Update Index Template
- 8. Deleting Index Templates
- Example: Delete Index Template
- 9. Simulating Template Application
- Example: Simulate Template Application
- 10. Using Legacy Templates
- Example: Creating a Legacy Template
Indexing Documents
- 1. Indexing Single Document
- Example: Indexing a Single Document
- 2. Indexing with Auto-Generated ID
- Example: Indexing a Document with Auto-Generated ID
- 3. Indexing with Custom ID
- Example: Indexing a Document with Custom ID
- 4. Using Bulk Indexing
- Example: Bulk Indexing Documents
- 5. Updating Documents
- Example: Update Document with Script
- Example: Partial Document Update
- 6. Using Scripted Updates
- Example: Incrementing a Field Value
- Example: Conditional Update Based on Field Value
- 7. Upserting Documents
- Example: Upsert a Document
- Example: Using External ID
- 8. Deleting Documents
- Example: Delete by ID
- Example: Delete by Query
- 9. Deleting by Query
- Example: Delete all documents with a specific field value
- Example: Delete documents older than a specific date
- 10. Setting Document Versioning
- Example: Update Document with Version Check
- 11. Configuring Routing
- Example: Routing with Custom Field
- 12. Handling Conflicts
- Example: Handling Version Conflicts
Using Ingest Pipelines
- 1. Understanding Ingest Node
- Example: Basic Ingest Node Configuration
- 2. Creating Ingest Pipelines
- Example: Creating a Basic Ingest Pipeline
- Key Points
- 3. Using Common Processors
- Example: Grok Processor Usage
- Example: Date Processor Usage
- 4. Using Grok Processor
- Example: Parsing Log Messages with Grok
- Grok Processor Summary
- 5. Using Date Processor
- Example: Basic Date Parsing
- Example: Custom Date Formats
- 6. Using GeoIP Processor
- Example: Basic GeoIP Processor Configuration
- Example: Using GeoIP with Custom Target Field
- 7. Using User Agent Processor
- Example: Parsing User Agent String
- Example: Ingest Pipeline Configuration
- Parsed User Agent Fields
- 8. Using Script Processor
- Example: Applying a Script Processor
- 9. Handling Processor Failures
- Example: Configuring
- Failure Handling Strategies
- 10. Testing Pipelines
- Example: Test Pipeline with Sample Document
- Testing Pipeline Steps
- 11. Attaching Pipelines to Indices
- Example: Attaching Pipeline to Index
- 12. Managing Default Pipeline
- Example: Setting Default Pipeline in Logstash
Understanding Elastic Common Schema
- 1. Understanding ECS Purpose
- Example: ECS Field Mapping
- 2. Using Core Field Sets
- Example: Using Core Field Sets in a Log Entry
- 3. Using Event Fields
- Example: Log Entry with Event Fields
- 4. Using Network Fields
- Example: Log Entry with Network Fields
- 5. Using Host Fields
- Example: Log Entry with Host Fields
- 6. Using User Fields
- Example: User Fields in Log Event
- 7. Using File Fields
- Example: Log file metadata
- 8. Using Process Fields
- Example: Process Fields in Log Entry
- 9. Mapping Custom Data to ECS
- Example: Custom Field Mapping
- 10. Using ECS in Beats
- Example: ECS Mapping in Apache Beat
- 11. Using ECS in Logstash
- Example: ECS Mapping in Logstash
- 12. Validating ECS Compliance
- Example: Using ecs-validate CLI tool
Querying with Query DSL
- 1. Understanding Query Context vs Filter Context
- Example: Query Context Usage
- Example: Filter Context Usage
- 2. Using Match Query
- Example: Basic Match Query
- Example: Match with Boost
- Example: Fuzzy Match Query
- 3. Using Match Phrase Query
- Example: Match Phrase Query
- 4. Using Term Query
- Example: Term Query Usage
- 5. Using Terms Query
- Example: Terms Query
- 6. Using Range Query
- Example: Range Query on Numeric Field
- Example: Range Query on Date Field
- 7. Using Exists Query
- Example: Basic Exists Query
- Example: Exists Query with Boost
- 8. Using Prefix Query
- Example: Prefix Query Usage
- 9. Using Wildcard Query
- Example: Basic Wildcard Query
- Example: Wildcard Query with Case Sensitive
- 10. Using Fuzzy Query
- Example: Fuzzy Query in Elasticsearch
- 11. Using Regexp Query
- Example: Basic Regexp Query
- Example: Regexp Query with Flags
- 12. Using Multi-Match Query
- Example: Basic multi_match query
- Example: Multi-match with type and boost
Working with Compound Queries
- 1. Using Bool Query
- Example: Bool Query with Multiple Clauses
- 2. Understanding Bool Query Scoring
- Example: Bool Query with Scoring
- 3. Using Boosting Query
- Example: Boosting Query Configuration
- Boosting Query Use Cases
- 4. Using Constant Score Query
- Example: Constant Score Query
- 5. Using Dis Max Query
- Example: Dis Max Query
- 6. Using Function Score Query
- Example: Boosting by Field Value
- Example: Using Decay Function
- 7. Nesting Bool Queries
- Example: Nesting Bool Queries
- 8. Using Minimum Should Match
- Example: Using minimum_should_match in a bool query
- Key Points
- 9. Combining Query and Filter Context
- Example: Using Query and Filter Context
- 10. Using Named Queries
- Example: Define a Named Query
- Example: Use a Named Query in Search
Implementing Advanced Queries
- 1. Using Nested Query
- Example: Nested Query for Comments
- 2. Using Has Child Query
- Example: Find parent documents with matching child documents
- Key Points
- 3. Using Has Parent Query
- Example: Find child documents with matching parent
- 4. Using Query String
- Example: Basic Query String Usage
- Example: Query String with Wildcards
- 5. Using Simple Query String
- Example: Basic Simple Query String Usage
- Example: Advanced Simple Query String with Fields
- 6. Using More Like This Query
- Example: Basic More Like This Query
- Example: More Like This with Document ID
- 7. Using Percolate Query
- Example: Registering a Query
- Example: Percolating a Document
- 8. Using Script Query
- Example: Using Script Query to Multiply Field Values
- 9. Using Span Queries
- Example: Using span_near to find phrases
- 10. Using Geo Queries
- Example: Geo Distance Query
- Example: Bounding Box Query
- Example: Polygon Query
- 11. Using Shape Queries
- Example: Using geo_shape with relation
Implementing Search Features
- 1. Paginating Results
- Example: Paginating Search Results
- 2. Sorting Results
- Example: Sorting by timestamp descending
- Example: Sorting by multiple fields
- 3. Filtering Source Fields
- Example: Selecting Specific Fields
- Example: Using Wildcards for Field Selection
- 4. Highlighting Matches
- Example: Basic Highlighting Configuration
- Example: Highlighting with Custom Tags
- 5. Using Search After
- Example: Using search_after for pagination
- Example: Fetching next page with search_after
- 6. Using Scroll API
- Example: Initial Scroll Request
- Example: Subsequent Scroll Requests
- 7. Using Point in Time
- Example: Creating a Point in Time
- Example: Searching with Point in Time
- 8. Searching Multiple Indices
- Example: Search Across Multiple Indices
- 9. Using Search Templates
- Example: Creating a Search Template
- Example: Using a Search Template
- 10. Implementing Autocomplete
- Example: Autocomplete Query
- 11. Using Suggesters
- Example: Basic Suggester Query
- 12. Configuring Request Cache
- Example: Setting Request Cache Size
Working with Aggregations
- 1. Understanding Aggregation Types
- 2. Using Metric Aggregations
- Example: Aggregating Average Rating by Category
- 3. Using Bucket Aggregations
- Example: Terms Aggregation
- Example: Date Histogram Aggregation
- 4. Using Date Histogram
- Example: Date Histogram Aggregation
- 5. Using Range Aggregations
- Example: Aggregating Age Groups
- Example: Date Range Aggregation
- 6. Nesting Aggregations
- Example: Nested Aggregation
- Example: Children Aggregation
- 7. Using Cardinality Aggregation
- Example: Basic Cardinality Aggregation
- Example: Cardinality with Precision Threshold
- 8. Using Percentiles Aggregation
- Example: Basic Percentiles Aggregation
- Example: Percentiles with Custom Field
- 9. Using Top Hits Aggregation
- Example: Retrieving top hits by timestamp
- 10. Using Filters Aggregation
- Example: Applying Filters Aggregation
- 11. Using Significant Terms
- Example: Basic Significant Terms Aggregation
- 12. Using Composite Aggregation
- Example: Basic Composite Aggregation
- Example: Composite Aggregation with After Token
Using Pipeline Aggregations
- 1. Understanding Pipeline Aggregations
- Example: Using Avg Bucket to calculate average response time
- 2. Using Bucket Script
- Example: Using Bucket Script to Calculate Average
- 3. Using Derivative Aggregation
- Example: Derivative Aggregation
- 4. Using Cumulative Sum
- Example: Cumulative Sum Aggregation
- 5. Using Moving Average
- Example: Moving Average over Sales Data
- 6. Using Serial Diff
- Example: Calculating Serial Difference
- 7. Using Bucket Selector
- Example: Filtering buckets with bucket_selector
- 8. Using Bucket Sort
- Example: Sorting Buckets by Count
- Example: Sorting Buckets by Custom Metric
- 9. Using Sum Bucket
- Example: Sum Bucket Aggregation
- 10. Using Avg Bucket
- Example: Avg Bucket Aggregation
- 11. Using Stats Bucket
- Example: Using stats_bucket aggregation
- Stats Bucket Aggregation Summary
Managing Data Streams
- 1. Understanding Data Streams
- Example: Defining a Data Stream
- 2. Creating Data Streams
- Example: Create a Data Stream
- 3. Indexing to Data Stream
- Example: Indexing to a Data Stream
- 4. Rolling Over Data Stream
- Example: Create a Data Stream with Rollover Configuration
- 5. Viewing Data Stream Stats
- Example: Retrieve Data Stream Stats
- 6. Searching Data Streams
- Example: Basic Search Query
- Example: Search with Aggregations
- 7. Using Backing Indices
- Example: Creating a new backing index
- Example: Updating index settings
- 8. Deleting Data Streams
- Example: Delete a Data Stream
- 9. Promoting Write Index
- Example: Promoting Write Index
- 10. Using Data Stream Aliases
- Example: Creating a Data Stream Alias
- Example: Updating Data Stream Alias
- 11. Migrating to Data Streams
- Example: Reindexing Legacy Index to Data Stream
- Migration Considerations
Implementing Index Lifecycle Management
- 1. Understanding ILM Phases
- Example: ILM Policy Configuration
- 2. Creating ILM Policies
- Example: ILM Policy JSON
- 3. Configuring Hot Phase
- Example: Hot Phase Configuration
- 4. Configuring Warm Phase
- Example: Warm Phase Configuration
- 5. Configuring Cold Phase
- Example: Cold Phase Configuration
- 6. Configuring Frozen Phase
- Example: Index Template with Frozen Phase Configuration
- 7. Configuring Delete Phase
- Example: Delete Phase Configuration
- 8. Attaching Policies to Indices
- Example: Applying Policy via Index Template
- 9. Using Rollover Actions
- Example: Configure rollover policy
- 10. Setting Phase Transitions
- Example: Define Phase Transitions
- 11. Monitoring ILM Status
- Example: Check ILM status via API
- Example: Check ILM status for a specific index
- 12. Retrying Failed Phases
- Example: Retry Configuration
Working with Snapshots and Restore
- 1. Understanding Snapshot Repositories
- Example: Registering an S3 Snapshot Repository
- 2. Configuring Snapshot Repositories
- Example: Creating an S3 Snapshot Repository
- 3. Creating Snapshots
- Example: Creating a Snapshot
- 4. Listing Snapshots
- Example: List all snapshots in a repository
- Example: List snapshots with specific pattern
- 5. Viewing Snapshot Status
- Example: Fetching Snapshot Status
- Example: Listing All Snapshots in a Repository
- 6. Restoring Snapshots
- Example: Restore Snapshot
- Restore Snapshot Summary
- 7. Deleting Snapshots
- Example: Delete a Snapshot
- 8. Using Searchable Snapshots
- Example: Enabling Searchable Snapshots
- Key Features of Searchable Snapshots
- 9. Automating Snapshots
- Example: Snapshot Automation with Cron Job
- 10. Performing Partial Restore
- Example: Restore specific indices
- 11. Monitoring Snapshot Progress
- Example: Fetching Snapshot Status
- Example: Listing All Snapshots
- 12. Configuring Snapshot Threads
- Example: Snapshot Thread Configuration
Working with Logstash Inputs
- 1. Understanding Input Plugins
- Example: Using the Beats Input Plugin
- Example: Using the TCP Input Plugin
- 2. Using File Input
- Example: Basic file input configuration
- Example: Using wildcards and ignore_older
- 3. Using Beats Input
- Example: Beats Input Configuration
- 4. Using TCP Input
- Example: TCP Input Configuration
- 5. Using UDP Input
- Example: UDP Input Configuration
- 6. Using HTTP Input
- Example: Configuring HTTP Input
- Example: Sending Log via HTTP
- 7. Using Kafka Input
- Example: Kafka Input Configuration
- 8. Using JDBC Input
- Example: JDBC Input Configuration
- 9. Using S3 Input
- Example: S3 Input Configuration
- 10. Using Redis Input
- Example: Basic Redis Input Configuration
- 11. Using Stdin Input
- Example: Stdin Input Configuration
- 12. Configuring Input Codec
- Example: Using JSON Codec
- Example: Using Grok Codec
Applying Logstash Filters
- 1. Understanding Filter Plugins
- Example: Using grok to parse Apache logs
- 2. Using Grok Filter
- Example: Parsing Apache Logs
- Example: Custom Pattern
- 3. Using Mutate Filter
- Example: Converting field types
- Example: Copying and renaming fields
- 4. Using Date Filter
- Example: Parsing Log Timestamps
- 5. Using JSON Filter
- Example: Parsing JSON from a field
- Example: Merging parsed JSON into root event
- 6. Using Dissect Filter
- Example: Parsing Log Messages
- 7. Using GeoIP Filter
- Example: Basic GeoIP Filter Configuration
- Example: Adding Custom Fields with GeoIP Data
- 8. Using User Agent Filter
- Example: Parsing User Agent String
- Output Fields
- 9. Using Drop Filter
- Example: Basic Drop Filter Usage
- 10. Using Clone Filter
- Example: Clone a Log Event
- 11. Using Split Filter
- Example: Splitting a message field
- 12. Using Aggregate Filter
- Example: Aggregating Log Events by Session ID
Implementing Advanced Logstash Filters
- 1. Using Ruby Filter
- Example: Using Ruby Filter to Modify Fields
- Example: Using Ruby Filter to Add Fields
- 2. Using Translate Filter
- Example: Translate Filter Configuration
- Example: Dictionary File (JSON)
- 3. Using Fingerprint Filter
- Example: Fingerprinting a message field
- 4. Using Throttle Filter
- Example: Basic Throttle Filter Configuration
- Example: Throttle Filter with Key Field
- 5. Using Elapsed Filter
- Example: Basic Elapsed Filter Usage
- Example: Elapsed Filter with Reset
- 6. Using Metrics Filter
- Example: Basic Metrics Filter Configuration
- Example: Metrics Filter with Timer
- 7. Using Sleep Filter
- Example: Basic Sleep Filter Usage
- 8. Using Cidr Filter
- Example: Cidr Filter Configuration
- 9. Using DNS Filter
- Example: Resolving DNS Names from IP Addresses
- 10. Using Kv Filter
- Example: Parsing Log Message
- Example: Parsing URL Query String
- 11. Using CSV Filter
- Example: Basic CSV Parsing
- Example: CSV with Type Conversion
- 12. Using XML Filter
- Example: Parsing XML Log Content
- Example: Extracting Specific XML Elements
Working with Logstash Codecs
- 1. Understanding Codec Purpose
- 2. Using JSON Codec
- Example: Basic JSON Codec Configuration
- Example: JSON Codec with Custom Fields
- 3. Using Plain Codec
- Example: Configuring Plain Codec
- 4. Using Line Codec
- Example: Configuring Line Codec
- 5. Using Multiline Codec
- Example: Configuring Multiline Codec
- 6. Using Rubydebug Codec
- Example: Configuring Rubydebug Codec
- 7. Using CEF Codec
- Example: CEF Codec Configuration
- 8. Using Msgpack Codec
- Example: Configuring Msgpack Codec
- 9. Using Avro Codec
- Example: Configuring Avro Codec in Logstash
- 10. Using Netflow Codec
- Example: Configuring Netflow Codec
- 11. Using Protobuf Codec
- Example: Configuring Protobuf Codec in Logstash
- 12. Configuring Codec Parameters
- Example: Configuring JSON Codec with Parameters
- Example: Using Grok Codec with Custom Fields
Configuring Logstash Outputs
- 1. Understanding Output Plugins
- Example: Elasticsearch Output Plugin Configuration
- 2. Using Elasticsearch Output
- Example: Basic Elasticsearch Output Configuration
- Example: Elasticsearch Output with Authentication
- 3. Using File Output
- Example: Writing Logs to a File
- 4. Using Stdout Output
- Example: Stdout Output Configuration
- 5. Using Kafka Output
- Example: Basic Kafka Output Configuration
- Example: Kafka Output with SSL
- 6. Using HTTP Output
- Example: Basic HTTP Output Configuration
- Example: HTTP Output with Custom Headers
- 7. Using S3 Output
- Example: S3 Output Configuration
- 8. Using Email Output
- Example: Email Output Configuration
- 9. Using Redis Output
- Example: Redis Output Configuration
- 10. Using TCP Output
- Example: Basic TCP Output Configuration
- 11. Using Multiple Outputs
- Example: Multiple outputs configuration
- 12. Setting Output Workers
- Example: Configuring Output Workers
Managing Logstash Pipelines
- 1. Understanding Pipeline Configuration
- Example: Basic Pipeline Configuration
- 2. Creating Pipeline Files
- Example: Basic Pipeline Configuration
- 3. Defining Multiple Pipelines
- Example: pipelines.yml configuration
- 4. Using Conditional Statements
- Example: Complex Conditional Pipeline
- 5. Setting Pipeline Workers
- Example: Configuring Pipeline Workers
- 6. Configuring Batch Size
- Example: Setting Batch Size in Logstash Configuration
- 7. Using Pipeline-to-Pipeline Communication
- Example: Sending Events to Another Pipeline
- 8. Enabling Dead Letter Queue
- Example: Enabling Dead Letter Queue in Logstash Configuration
- 9. Configuring Persistent Queue
- Example: Persistent Queue Configuration
- 10. Setting Pipeline Ordering
- Example: Configuring Pipeline Order
- 11. Using Environment Variables
- Example: Setting Environment Variables in systemd Service File
- 12. Reloading Configuration
- Example: Reloading via Signal
- Example: Reloading via API
Managing Logstash Plugins
- 1. Understanding Plugin Types
- Example: Plugin Configuration
- 2. Listing Installed Plugins
- Example: Listing Logstash Plugins
- Example: Verbose Plugin Listing
- 3. Installing Plugins
- Example: Install a plugin from the official repository
- Example: Install a specific version of a plugin
- Example: Install a plugin from a local .gem file
- 4. Updating Plugins
- Example: Updating a specific plugin
- 5. Removing Plugins
- Example: Removing a Plugin
- 6. Creating Custom Plugins
- Example: Creating a Simple Filter Plugin in Ruby
- Steps to Create a Custom Plugin
- 7. Using Plugin Mixins
- Example: Using Mixins in a Custom Plugin
- 8. Configuring Plugin Settings
- Example: Configuring Plugin Settings
- 9. Testing Custom Plugins
- Example: Basic Plugin Test Structure
- Testing Best Practices
- 10. Packaging Plugins
- Example: Plugin Gemspec
- Example: Plugin Manifest
- 11. Publishing Plugins
- Example: Plugin Metadata File
- Publishing Workflow
Working with Kibana Discover
- 1. Understanding Discover Interface
- Example: Basic Kibana Discover Query
- 2. Searching Documents
- Example: Basic Search Query
- Example: Range Query
- 3. Using KQL Syntax
- Example: Complex KQL Query
- 4. Using Lucene Syntax
- Example: Basic Lucene Query
- Example: Complex Query with Wildcards
- Example: Date Range Query
- 5. Filtering by Fields
- Example: Filter logs by level
- Example: Filter logs by timestamp range
- 6. Setting Time Range
- Example: Setting a custom time range
- 7. Adding Field Columns
- Example: Adding a field column in Kibana Discover
- 8. Viewing Document Details
- Example: Inspecting a Document in Kibana
- 9. Creating Context Views
- Example: Define a context view with field filters
- 10. Saving Searches
- Example: Saving a Search
- 11. Using Field Statistics
- Example: Calculating field statistics in Kibana
- 12. Exporting Search Results
- Example: Exporting search results to CSV
- Export Process Overview
Managing Kibana Data Views
- 1. Understanding Data Views
- Example: Creating a Data View
- 2. Creating Data Views
- Example: Create a Data View via Kibana UI
- 3. Configuring Time Fields
- Example: Setting up a time field in Kibana
- 4. Refreshing Field List
- Example: Refresh Field List via Kibana UI
- 5. Setting Field Formats
- Example: Configure field format in Kibana
- 6. Creating Scripted Fields
- Example: Creating a Scripted Field for Total Sales
- 7. Creating Runtime Fields
- Example: Creating a Runtime Field
- 8. Managing Field Popularity
- Example: Field Popularity Query
- 9. Setting Default Data View
- Example: Setting Default Data View via API
- 10. Using Wildcards
- Example: Applying Wildcards in Kibana Data Views
- 11. Viewing Field Capabilities
- Example: Fetching field capabilities via API
Creating Kibana Visualizations
- 1. Understanding Visualization Types
- 2. Creating Line Charts
- Example: Basic Line Chart Configuration
- 3. Creating Bar Charts
- Example: Basic Bar Chart Configuration
- Example: Horizontal Bar Chart
- Bar Chart Configuration Summary
- 4. Creating Pie Charts
- Example: Basic Pie Chart Configuration
- 5. Creating Area Charts
- Example: Basic Area Chart Configuration
- 6. Creating Data Tables
- Example: Creating a Data Table in Kibana
- 7. Creating Metric Visualizations
- Example: Creating a Metric Visualization
- 8. Creating Tag Clouds
- Example: Tag Cloud Configuration
- Tag Cloud vs Bar Chart
- 9. Creating Heat Maps
- Example: Basic Heat Map Configuration
- 10. Creating Coordinate Maps
- Example: Basic Coordinate Map Configuration
- 11. Creating Gauge Visualizations
- Example: Basic Gauge Visualization Setup
- 12. Creating Markdown Panels
- Example: Basic Markdown Panel Configuration
Using Kibana Lens and TSVB
- 1. Understanding Lens
- Example: Creating a Basic Lens Visualization
- 2. Creating Lens Visualizations
- Example: Basic Lens Visualization Creation
- Supported Chart Types
- 3. Using Lens Suggestions
- Example: Applying a Lens Suggestion
- 4. Configuring Lens Layers
- Example: Basic Lens Layer Configuration
- 5. Understanding TSVB
- Example: Creating a TSVB Visualization
- Key Features of TSVB
- 6. Creating TSVB Visualizations
- Example: Basic TSVB Visualization Setup
- 7. Using TSVB Annotations
- Example: TSVB Annotation Configuration
- 8. Configuring TSVB Panel Filters
- Example: Applying Time Range Filter
- Example: Using Query DSL Filter
- 9. Using TSVB Math Expressions
- Example: Calculating CPU Usage Percentage
- Example: Derivative of Memory Usage
- 10. Creating Vega Visualizations
- Example: Basic Vega Visualization
- 11. Using Vega-Lite
- Example: Basic Vega-Lite Specification
Building Kibana Dashboards
- 1. Creating New Dashboard
- Example: Create a new dashboard in Kibana
- 2. Adding Visualizations
- Example: Adding a Line Chart Visualization
- Example: Adding a Bar Chart for Log Volume
- 3. Arranging Panels
- Example: Panel Configuration in Kibana Dashboard
- 4. Resizing Panels
- Example: Setting Panel Size
- 5. Configuring Time Range
- Example: Setting Time Range in Kibana
- 6. Using Query Bar
- Example: Basic Query Syntax
- Example: Date Range Filter
- Example: Aggregation Query
- 7. Applying Filters
- Example: Applying a Query String Filter
- Example: Using KQL in a Dashboard Filter
- 8. Setting Auto-Refresh
- Example: Enable Auto-Refresh
- 9. Using Global Filters
- Example: Applying a Global Filter
- 10. Creating Drilldowns
- Example: Setting Up a Field Drilldown
- Workflow to Create a Drilldown
- 11. Saving Dashboards
- Example: Saving a Kibana Dashboard
- 12. Exporting Dashboards
- Example: Exporting a Dashboard as JSON
Using Kibana Canvas
- 1. Understanding Canvas
- Example: Basic Canvas Expression
- 2. Creating Canvas Workpads
- Example: Basic Canvas Workpad Structure
- Workflow: Creating a New Canvas Workpad
- 3. Adding Elements
- Example: Adding a Text Element
- Example: Adding a Chart Element
- 4. Using Data Sources
- Example: Configuring a Data Source in Kibana Canvas
- 5. Configuring Element Expressions
- Example: Text Element with Expression
- Example: Chart Element with Expression
- 6. Using Canvas Functions
- Example: Creating a Canvas with Text and Shape
- 7. Styling Elements
- Example: Applying Styles to Text
- Example: Styling a Rectangle
- 8. Creating Reusable Elements
- Example: Creating a Reusable Canvas Element
- Best Practices for Reusable Elements
- 9. Using Variables
- Example: Defining a Variable in Kibana Canvas
- 10. Configuring Auto-Refresh
- Example: Enabling Auto-Refresh in Kibana Canvas
- 11. Exporting Canvas
- Example: Export Canvas as PDF
- 12. Sharing Workpads
- Example: Sharing a Workpad
Using Kibana Dev Tools
- 1. Understanding Console
- Example: Basic Query
- 2. Executing API Requests
- Example: Execute a simple GET request
- Example: Execute a POST request with body
- Example: Using variables in the request path
- 3. Using Auto-Complete
- Example: Auto-completing a query in Kibana Dev Tools
- 4. Viewing Request History
- Example: View request history in Kibana Dev Tools
- 5. Formatting JSON
- Example: Formatting JSON in Kibana Dev Tools
- 6. Using Variables
- Example: Setting and Using Variables in Kibana Dev Tools
- 7. Copying as cURL
- Example: Copying a request as cURL
- 8. Using Grok Debugger
- Example: Grok Pattern Matching
- Example: Testing with Log Sample
- Common Grok Patterns
- 9. Using Painless Lab
- Example: Basic Painless Script
- Key Features of Painless Lab
- 10. Using Search Profiler
- Example: Enable Search Profiler
- Search Profiler Features
- 11. Testing Index Templates
- Example: Test Index Template
- Example: Test Template via Dev Tools
- 12. Debugging Aggregations
- Example: Debugging a terms aggregation
- Example: Using debug output to inspect aggregation results
- Debugging Aggregations Workflow
Implementing Kibana Alerts and Actions
- 1. Understanding Alerting Framework
- Example: Define a simple alert trigger
- 2. Creating Alert Rules
- Example: Creating a Basic Alert Rule
- 3. Configuring Alert Conditions
- Example: Threshold Alert Configuration
- 4. Setting Up Connectors
- Example: Creating a Webhook Connector
- Connector Types Overview
- 5. Using Index Threshold Alerts
- Example: Creating an Index Threshold Alert
- 6. Creating ES Query Alerts
- Example: Basic ES Query Alert Configuration
- 7. Configuring Alert Frequency
- Example: Setting Alert Frequency in Kibana
- 8. Using Action Variables
- Example: Using Action Variables in a Slack Message
- 9. Managing Alert History
- Example: Retrieve Alert History
- 10. Muting Alerts
- Example: Mute an Alert
- 11. Setting Up Alert Tags
- Example: Creating an Alert with Tags
- 12. Testing Alert Actions
- Example: Test Alert Action Configuration
- Testing Workflow
Managing Kibana Spaces
- 1. Understanding Spaces
- Example: Creating a Space
- 2. Creating Spaces
- Example: Create a Space via Kibana UI
- 3. Configuring Space Features
- Example: Enabling Space Features
- 4. Setting Space Logo
- Example: Setting Space Logo
- 5. Copying Saved Objects
- Example: Copying Saved Objects Between Spaces
- 6. Moving Objects Between Spaces
- Workflow to Move Kibana Objects Between Spaces
- 7. Setting Default Space
- Example: Configure Default Space in kibana.yml
- 8. Managing Space Permissions
- Example: Assigning Space Permissions via Kibana UI
- 9. Organizing Dashboards
- Example: Creating a Dashboard with Space ID
- Dashboard Organization Best Practices
- 10. Using Space Selectors
- Example: Switching Spaces via API
- 11. Importing Objects to Space
- Example: Importing Saved Objects
- 12. Deleting Spaces
- Example: Delete a Kibana Space
Configuring Kibana Settings
- 1. Setting Default Data View
- Example: Setting Default Data View via kibana.yml
- 2. Configuring Time Zone
- Example: Setting Time Zone in kibana.yml
- 3. Setting Date Format
- Example: Configure Date Format in kibana.yml
- 4. Configuring UI Theme
- Example: Setting Dark Theme
- 5. Setting Default Route
- Example: Kibana configuration
- 6. Configuring Query Language
- Example: Setting KQL as Default Language
- 7. Setting Notification Preferences
- Example: Configure Email Notifications
- 8. Configuring CSV Export Limits
- Example: Kibana CSV Export Configuration
- 9. Setting Discover Defaults
- Example: Setting Discover Defaults in kibana.yml
- 10. Configuring Accessibility
- Example: Basic Kibana Configuration
- 11. Managing Advanced Settings
- Example: Enabling Advanced Settings
- 12. Setting Up Custom Branding
- Example: Kibana branding configuration
Working with APM Server
- 1. Understanding APM Architecture
- Example: APM Server Configuration
- APM Data Flow
- 2. Installing APM Server
- Example: Docker Installation
- 3. Configuring APM Server
- Example: Basic APM Server Configuration
- 4. Installing APM Agents
- Example: Installing APM Agent for Node.js
- Example: Installing APM Agent for Java
- 5. Configuring APM Agents
- Example: APM Agent Configuration in Node.js
- Example: APM Agent Configuration in Python
- 6. Viewing Traces
- Example: Trace Overview in APM UI
- 7. Analyzing Transaction Performance
- Example: Transaction Performance Query
- Key Metrics for Transaction Analysis
- 8. Monitoring Errors
- Example: Transaction Error Handling
- 9. Using Service Maps
- Example: Viewing Service Map in Kibana
- Service Map vs Trace View
- Steps to Configure Service Map
- 10. Configuring Sampling Rates
- Example: Setting Sampling Rate in apm-server.yml
- 11. Setting Up RUM
- Example: Enabling RUM in apm-server.yml
- 12. Integrating with OpenTelemetry
- Example: OpenTelemetry Collector Configuration
Implementing Observability Features
- 1. Understanding Observability Pillars
- Logs vs Metrics vs Traces
- ELK Stack Observability Features
- 2. Using Logs App
- Example: Basic Log Filtering
- 3. Using Metrics App
- Example: Setting up Metrics App in Kibana
- Key Capabilities
- 4. Using Uptime App
- Example: Setting up Uptime Monitoring
- Uptime App vs Other Monitoring Tools
- 5. Correlating Logs and Traces
- Example: Log Entry with Trace ID
- Example: Trace Context in HTTP Headers
- Correlation Best Practices
- 6. Using Infrastructure App
- Example: Basic Infrastructure App Configuration
- 7. Creating SLOs
- Example: Define an SLO for response time
- Key Concepts
- SLO vs SLI vs SLA
- 8. Using Observability Rules
- Example: Alert Rule Configuration
- 9. Viewing Service Overview
- Example: Kibana Service Map
- Key Metrics for Service Overview
- 10. Using Log Categorization
- Example: Categorizing Logs with Logstash
- Key Benefits of Log Categorization
- 11. Implementing Distributed Tracing
- Example: OpenTelemetry Configuration
- Tracing Tools Comparison
- Implementation Steps
- 12. Monitoring Cloud Services
- Example: Configuring CloudWatch Logs with Logstash
Optimizing Indexing Performance
- 1. Tuning Refresh Interval
- Example: Setting refresh interval to 30 seconds
- 2. Tuning Bulk Request Size
- Example: Configuring Bulk Request Size in Elasticsearch
- 3. Using Async Indexing
- Example: Configuring Async Indexing
- 4. Increasing Indexing Buffer
- Example: Configuring Indexing Buffer
- 5. Reducing Replica Count
- Example: Setting Replica Count to Zero
- 6. Optimizing Document Structure
- Example: Optimized Document Structure
- 7. Using Routing
- Example: Indexing with Routing
- Example: Querying with Routing
- 8. Tuning Thread Pool Settings
- Example: Updating Thread Pool Settings
- 9. Configuring Translog Durability
- Example: Setting translog durability to async
- 10. Disabling Swapping
- Example: Setting vm.swappiness to 0
- 11. Optimizing Ingest Pipelines
- Example: Basic Ingest Pipeline Configuration
- Best Practices for Ingest Pipeline Optimization
- 12. Monitoring Indexing Rate
- Example: Fetching Indexing Rate via Elasticsearch API
Optimizing Search Performance
- 1. Using Filter Context vs Query Context
- Example: Filter Context Usage
- Example: Query Context Usage
- 2. Optimizing Bool Queries
- Example: Bool Query with must and should
- Example: Bool Query with filter clause
- 3. Using Constant Score Query
- Example: Constant Score Query Usage
- 4. Configuring Index Sorting
- Example: Sorting by timestamp
- 5. Using Preference Parameter
- Example: Setting preference for search
- 6. Implementing Query Timeout
- Example: Setting Query Timeout in Elasticsearch
- 7. Using Track Total Hits
- Example: Setting track_total_hits to false
- 8. Optimizing Wildcard Queries
- Example: Basic wildcard query
- Example: Case insensitive wildcard query
- 9. Using Search Templates
- Example: Registering a Search Template
- Example: Using a Search Template in a Query
- 10. Caching Aggregations
- Example: Enabling Aggregation Caching
- 11. Using Composite Aggregation
- Example: Composite Aggregation
- 12. Implementing Shard Filtering
- Example: Using query_string filter
- Example: Using term filter
- Example: Using range filter
Configuring Cluster Performance
- 1. Configuring Number of Shards
- Example: Setting shard count during index creation
- 2. Setting Number of Replicas
- Example: Setting Number of Replicas
- 3. Tuning Merge Policy
- Example: Configuring Merge Policy in elasticsearch.yml
- 4. Using Force Merge
- Example: Force Merge Index
- 5. Configuring Query Cache
- Example: Enabling Query Cache
- 6. Using Field Data Cache
- Example: Setting field data cache size
- 7. Optimizing Mapping
- Example: Defining a Text Field with Custom Analyzer
- Example: Disabling Indexing for a Non-Searchable Field
- 8. Configuring Circuit Breakers
- Example: Setting Circuit Breaker Limits
- 9. Tuning HTTP Thread Pool
- Example: Adjusting HTTP Thread Pool Settings
- 10. Configuring Search Thread Pool
- Example: Adjusting Search Thread Pool Settings
- 11. Using Coordinating-Only Nodes
- Example: Configuring a Coordinating-Only Node
- 12. Implementing Hot-Warm-Cold Architecture
- Example: Index Lifecycle Management (ILM) Policy
Optimizing Kibana Performance
- 1. Configuring Query Time Range
- Example: Setting Time Range in Kibana Dashboard
- 2. Using Filters vs Queries
- Example: Using Filters in Kibana
- Example: Using Queries in Kibana
- 3. Optimizing Visualizations
- Example: Simple Line Chart Visualization
- 4. Caching Dashboard Data
- Example: Enabling Caching in Kibana Configuration
- 5. Limiting Panel Count
- Example: Configuring Panel Limits
- 6. Using Lens Over TSVB
- Example: Creating a Lens Visualization
- TSVB vs Lens: Key Differences
- 7. Configuring Browser Settings
- Example: Browser Settings Configuration
- 8. Optimizing Date Histograms
- Example: Date Histogram Aggregation
- Best Practices for Date Histograms
- 9. Using Sampling
- Example: Enabling Sampling in Kibana
- 10. Disabling Auto-Refresh
- Example: Disabling Auto-Refresh in Kibana
- 11. Configuring Kibana Memory
- Example: Setting Kibana Memory Limits
- 12. Monitoring Kibana Performance
- Example: Kibana Performance Metrics Dashboard
Managing Cluster Health and Monitoring
- 1. Checking Cluster Health
- Example: Using Elasticsearch API to Check Cluster Health
- Example: Using cURL to Check Cluster Health with Verbose Output
- 2. Viewing Cluster Stats
- Example: Get Cluster Stats
- Example: Get Cluster Health
- 3. Monitoring Node Stats
- Example: Fetching Node Stats via API
- Example: Fetching Specific Node Stats
- 4. Checking Shard Allocation
- Example: Shard Allocation Status
- Example: Shard Allocation Settings
- 5. Viewing Pending Tasks
- Example: Fetch pending tasks
- 6. Using Task Management API
- Example: Retrieve Task Information
- Example: Cancel a Task
- 7. Monitoring Thread Pools
- Example: Configuring Thread Pool Settings
- 8. Checking Index-Level Stats
- Example: Fetching Index Stats
- Example: Fetching Specific Index Stats
- 9. Using Hot Threads API
- Example: Enabling Hot Threads API
- Example: Querying Hot Threads API
- 10. Configuring Cluster Settings
- Example: Basic Cluster Configuration
- 11. Monitoring Ingest Statistics
- Example: Ingest Statistics Query
- 12. Using Cat APIs
- Example: Retrieve Cluster Health
- Example: List All Indices
Monitoring Production Stack
- 1. Understanding Stack Monitoring
- Example: Basic Stack Monitoring Setup
- Key Monitoring Concepts
- 2. Using Metricbeat for Monitoring
- Example: Basic Metricbeat Configuration
- Example: Enabling System Module
- Example: Collecting Disk I/O Metrics
- Key Features of Metricbeat
- 3. Configuring Monitoring Cluster
- Example: Elasticsearch Configuration File
- 4. Viewing Cluster Metrics
- Example: Fetch Cluster Metrics via API
- Example: Get Node-Level Metrics
- 5. Monitoring Index Performance
- Example: Index Performance Query
- Example: Shard Allocation Check
- 6. Tracking Query Performance
- Example: Query Performance Monitoring
- Example: Query Latency Metrics
- 7. Using APM Integration
- Example: Setting up APM Integration in Kibana
- APM Integration Setup Steps
- 8. Monitoring JVM Metrics
- Example: Collecting JVM Metrics with JMX
- 9. Tracking Disk Usage
- Example: Check Disk Usage with df Command
- Example: Monitor Elasticsearch Disk Usage via API
- Key Disk Usage Metrics
- 10. Monitoring Network Traffic
- Example: Logstash Configuration for Network Logs
- Key Points for Network Traffic Monitoring
- 11. Using Logs App
- Example: Viewing Logs in Kibana
- Example: Creating a Log Stream
- Logs App vs. Logstash
- 12. Setting Up Uptime Monitoring
- Example: Basic Uptime Monitoring Setup
Implementing Machine Learning Features
- 1. Understanding ML Capabilities
- 2. Creating Anomaly Detection Jobs
- Example: Create Anomaly Detection Job
- 3. Configuring Detectors
- 4. Setting Bucket Span
- 5. Using Influencers
- Example: Define Influencer Field
- 6. Viewing Anomaly Results
- Workflow: Analyze Anomalies
- 7. Creating Forecasts
- Example: Create Forecast
- 8. Using Data Frame Analytics
- 9. Training Models
- Example: Train Model with Data Frame
- 10. Evaluating Model Performance
- 11. Deploying Trained Models
- Workflow: Deploy ML Model
- 12. Managing ML Jobs
- ML Job Management Tasks
Configuring ML Advanced Features
- 1. Using Model Snapshots
- Example: Restore a Model from Snapshot
- 2. Configuring ML Node
- Example: Enabling ML on a Node
- 3. Setting Custom Rules
- Example: Define Custom Rule
- 4. Using Calendars
- Example: Create a Calendar
- Example: Update Calendar
- 5. Configuring Model Memory Limit
- Example: Setting Model Memory Limit in elasticsearch.yml
- 6. Using Categorization
- Example: Categorization Configuration
- 7. Implementing Rare Analysis
- Example: Configure Rare Analysis Job
- 8. Using Population Analysis
- Example: Configuring Population Analysis
- 9. Configuring Summary Count
- Example: Enabling Summary Count in ML Job Configuration
- 10. Using Time Shift
- Example: Configuring Time Shift in ML Job
- 11. Exporting ML Jobs
- Example: Exporting ML Job to JSON
- 12. Monitoring ML Resource Usage
- Example: Monitoring ML Resource Usage via Kibana
Implementing Security Features
- 1. Enabling X-Pack Security
- Example: Enabling X-Pack Security in elasticsearch.yml
- 2. Setting Up TLS/SSL
- Example: Configure Elasticsearch to use TLS/SSL
- 3. Encrypting Node Communication
- Example: Enabling SSL for HTTP and Transport Layers
- 4. Encrypting HTTP Traffic
- Example: Kibana SSL Configuration
- Example: Elasticsearch SSL Configuration
- 5. Creating Users and Roles
- Example: Creating a User with Roles
- Example: Assigning Roles to a User
- 6. Configuring Authentication
- Example: Enabling Basic Authentication
- Example: Setting Up API Key Authentication
- 7. Using API Keys
- Example: Create an API Key
- Example: Use API Key for Authentication
- 8. Implementing Role-Based Access Control
- Example: Define Role in Elasticsearch
- Example: Assign Role to User
- 9. Setting Document-Level Security
- Example: Define Document-Level Security Rule
- 10. Setting Field-Level Security
- Example: Field-Level Security Configuration
- 11. Configuring Audit Logging
- Example: Enable Audit Logging in elasticsearch.yml
- 12. Using Token-Based Authentication
- Example: Token Generation
- Example: Token Verification
Configuring Advanced Security
- 1. Using Service Accounts
- Example: Enabling Service Accounts in Elasticsearch
- Example: Enabling Service Accounts in Kibana
- 2. Implementing IP Filtering
- Example: Configuring IP Filters in elasticsearch.yml
- 3. Managing Anonymous Access
- Example: Enable Anonymous Access with Custom Role
- 4. Configuring Realm Chains
- Example: Configuring Realm Chains
- 5. Using Encrypted Saved Objects
- Example: Enabling Encrypted Saved Objects
- Key Considerations
- 6. Implementing Cross-Cluster Security
- Example: Configuring Cross-Cluster Roles
- 7. Setting Password Policies
- Example: Configure Password Hashing
- Example: Enforce Strong Passwords
- 8. Using Security Domains
- Example: Configuring Elasticsearch Security Domain
- 9. Configuring Session Management
- Example: Session Configuration in elasticsearch.yml
- 10. Implementing FIPS 140-2 Mode
- Example: Enabling FIPS 140-2 Mode
- 11. Using Read-Only Roles
- Example: Assigning Read-Only Role to User
- 12. Configuring Run As
- Example: Setting Run As User in systemd Service Files
- Example: Setting Run As User in Logstash Configuration
Implementing Alerting and Watcher
- 1. Understanding Watcher
- Example: Basic Watch Configuration
- Key Features of Watcher
- 2. Creating Watches
- Example: Creating a Watch
- 3. Using Schedule Triggers
- Example: Interval-based Schedule
- Example: Cron-based Schedule
- 4. Configuring Input Sources
- Example: Using a Search Input
- 5. Defining Conditions
- Example: Using Compare Condition
- 6. Setting Up Actions
- Example: Email Action Configuration
- Example: Slack Webhook Action
- 7. Using Transform
- Example: Basic Transform Configuration
- 8. Testing Watches
- Example: Simple Watch Test
- Testing Workflow
- Watch vs Trigger
- 9. Managing Watch History
- Example: Retrieve Watch History
- 10. Acknowledging Alerts
- Example: Acknowledge Alert via API
- 11. Using Chained Inputs
- Example: Chained Search Inputs
- 12. Debugging Watch Failures
- Example: Debugging Watcher Logs
- Example: Inspecting Watcher Execution
Working with Cross-Cluster Search
- 1. Understanding Cross-Cluster Search
- 2. Configuring Remote Clusters
- Example: Configuring Remote Cluster
- 3. Searching Remote Clusters
- Example: Searching Remote Cluster
- 4. Setting Up Cluster Privileges
- 5. Monitoring Cross-Cluster Connections
- Example: Monitoring Remote Clusters
- 6. Using Skip Unavailable
- Example: Skip Unavailable Configuration
- 7. Optimizing Cross-Cluster Queries
- 8. Configuring Proxy Mode
- Example: Proxy Mode Configuration
- 9. Using Seed Nodes
- Example: Seed Node Configuration
- 10. Testing Connectivity
- Example: Testing Connectivity
Implementing Cross-Cluster Replication
- 1. Understanding CCR
- Example: Enabling CCR on a follower cluster
- Key Concepts in CCR
- 2. Configuring Leader Clusters
- Example: Basic Leader Cluster Configuration
- 3. Creating Follower Indices
- Example: Creating a Follower Index
- 4. Managing Auto-Follow Patterns
- Example: Configure auto-follow patterns
- 5. Pausing and Resuming CCR
- Example: Pausing CCR for a follower index
- Example: Resuming CCR for a follower index
- 6. Monitoring Replication Stats
- Example: Fetching Replication Stats
- 7. Handling Replication Errors
- Example: Error Log Analysis
- 8. Configuring Read from Follower
- Example: Enabling Read from Follower
- 9. Using Bi-Directional Replication
- Example: Configuring Bi-Directional Replication
- 10. Unfollowing Indices
- Example: Unfollow Index
- 11. Configuring Replication Settings
- Example: Setting Disk Watermarks
Deploying on Docker
- 1. Understanding Docker Deployment
- Deployment Approaches
- 2. Running Elasticsearch Container
- Example: Running Elasticsearch
- 3. Running Logstash Container
- Example: Running Logstash
- 4. Running Kibana Container
- Example: Running Kibana
- 5. Using Docker Compose
- Example: docker-compose.yml
- 6. Configuring Persistent Volumes
- Example: Using Volumes in Docker Compose
- 7. Setting Environment Variables
- Example: Setting Environment Variables
- 8. Configuring Container Resources
- Example: Resource Constraints
- 9. Using Docker Networks
- Example: Creating a Custom Network
- 10. Configuring Health Checks
- Example: Health Check in Docker Compose
- 11. Managing Docker Logs
- Example: Log Driver Configuration
- 12. Using Docker Secrets
- Example: Using Docker Secrets
Deploying on Kubernetes
- 1. Understanding Kubernetes Deployment
- Example: Basic Kubernetes Deployment YAML
- 2. Using ECK
- Example: Deploying Elasticsearch with ECK
- Key Features of ECK
- 3. Installing ECK Operator
- Example: Install ECK Operator using Helm
- Installation Summary
- 4. Deploying Elasticsearch Cluster
- Example: Basic Elasticsearch Deployment
- 5. Deploying Kibana
- Example: Kibana Deployment YAML
- Example: Kibana Service YAML
- 6. Deploying Beats
- Example: Deploying Filebeat on Kubernetes
- 7. Configuring StatefulSets
- Example: Basic Elasticsearch StatefulSet Configuration
- 8. Setting Resource Limits
- Example: Resource Limits Configuration
- 9. Using Init Containers
- Example: Elasticsearch init container to set file permissions
- 10. Configuring Health Checks
- Example: Liveness Probe Configuration
- Example: Readiness Probe Configuration
- 11. Using Persistent Volume Claims
- Example: Define PVC for Elasticsearch
- Example: Mount PVC in Elasticsearch StatefulSet
- 12. Implementing Pod Disruption Budgets
- Example: Basic PodDisruptionBudget Configuration
- Example: PDB with maxUnavailable
- Best Practices for PDBs in ELK Stack
Using Helm Charts for Deployment
- 1. Understanding Helm
- Example: Installing a Chart with Values
- Key Features of Helm
- 2. Adding Elastic Helm Repository
- Example: Adding the Elastic Helm Repository
- 3. Installing Elasticsearch Chart
- Example: Installing Elasticsearch Chart with Custom Values
- 4. Installing Kibana Chart
- Example: Install Kibana Chart with Custom Values
- 5. Installing Filebeat Chart
- Example: Installing Filebeat Chart with Custom Values
- 6. Customizing Values
- Example: Overriding Elasticsearch Configuration
- 7. Upgrading Releases
- Example: Upgrade a Release
- 8. Rolling Back Releases
- Example: Rolling Back a Release
- 9. Configuring Persistent Storage
- Example: Enabling Persistent Storage
- 10. Setting Resource Requests
- Example: Helm Values Configuration
- 11. Configuring Ingress
- Example: Basic Ingress Configuration
- 12. Managing Helm Releases
- Example: Install ELK Stack Release
- Example: Upgrade Release with New Values
- Managing Helm Release Lifecycle
Debugging and Troubleshooting
- 1. Checking Elasticsearch Logs
- Example: Viewing Elasticsearch Logs
- 2. Checking Logstash Logs
- Example: Logstash Configuration for Verbose Logging
- 3. Checking Kibana Logs
- Example: View Kibana Logs
- Example: Filter Kibana Logs for Errors
- 4. Using Verbose Logging
- Example: Configuring Verbose Logging in Logstash
- Example: Enabling Verbose Logging in Elasticsearch
- 5. Analyzing Slow Queries
- Example: Configuring Slow Query Logs in Elasticsearch
- Example: Identifying Slow Queries in Kibana
- 6. Debugging Shard Allocation
- Example: Check shard allocation status
- Example: Disable shard allocation
- Example: Enable shard allocation
- 7. Resolving Unassigned Shards
- Example: Check Unassigned Shards
- Example: List Unassigned Shards
- 8. Fixing Circuit Breakers
- Example: Configuring Circuit Breaker in Elasticsearch
- Common Fixes for Circuit Breaker Issues
- 9. Debugging Mapping Conflicts
- Example: Handling Mapping Conflict
- 10. Resolving Version Conflicts
- Example: Check Component Versions
- Example: Update Logstash Pipeline
- 11. Using Hot Threads Analysis
- Example: Enable hot threads analysis in Elasticsearch
- 12. Debugging Ingest Failures
- Example: Logstash Configuration for Debugging
Securing Production Deployments
- 1. Configuring Firewall Rules
- Example: Basic iptables Rule for ELK Stack
- 2. Disabling Dynamic Scripting
- Example: Elasticsearch Configuration
- 3. Implementing Network Segmentation
- Example: Basic Network Segmentation Setup
- Network Segmentation Best Practices
- 4. Using Reverse Proxy
- Example: Nginx with SSL
- 5. Configuring CORS
- Example: Enabling CORS for Kibana
- 6. Implementing Rate Limiting
- Example: Configuring Rate Limiting in elasticsearch.yml
- 7. Using VPN Access
- Example: Configuring VPN for ELK Stack Access
- 8. Hardening JVM Settings
- Example: JVM Settings in elasticsearch.yml
- 9. Scanning for Vulnerabilities
- Example: Nmap Scan Integration with ELK
- Key Points for Vulnerability Scanning
- 10. Implementing Secrets Management
- Example: Storing Elasticsearch Passwords in Keystore
- Best Practices for Secrets Management
- 11. Configuring Security Headers
- Example: Setting Security Headers in Nginx
- Example: Setting Security Headers in Express.js
- 12. Using Least Privilege Principle
- Example: Elasticsearch Role Configuration
Managing Production Operations
- 1. Planning Cluster Capacity
- Example: Sample Capacity Planning Configuration
- Key Considerations for Cluster Scaling
- Capacity Planning Workflow
- 2. Implementing Backup Strategy
- Example: Elasticsearch Snapshot Configuration
- Example: Create Snapshot
- Example: Restore Snapshot
- Backup Strategy Best Practices
- 3. Performing Rolling Upgrades
- Rolling Upgrade Process
- Example: Upgrade Elasticsearch Node
- 4. Managing Index Growth
- Example: Setting up ILM Policy
- Best Practices for Index Growth Management
- 5. Monitoring Cluster Health
- Example: Check Cluster Health Status
- Cluster Health Statuses
- Example: Monitor Cluster Health with Watcher
- 6. Implementing Disaster Recovery
- Example: Basic Elasticsearch Cluster Recovery Configuration
- Example: Setting Up Snapshot and Restore
- Disaster Recovery Workflow
- Snapshot Repository Types
- 7. Scaling Horizontally
- Example: Horizontal Scaling Configuration
- Horizontal Scaling Steps
- Horizontal vs Vertical Scaling
- 8. Scaling Vertically
- Example: Increasing Elasticsearch Heap Size
- 9. Managing Configuration Drift
- Example: Detecting Configuration Drift in Elasticsearch
- 10. Implementing Blue-Green Deployments
- Example: Blue-Green Deployment Configuration
- Deployment Workflow
- 11. Using Canary Deployments
- Example: Canary Deployment Configuration
- Canary Deployment Benefits
- 12. Documenting Runbooks
- Example: Runbook Structure
- Runbook Components
Advanced Performance Tuning
- 1. Tuning OS Settings
- Example: Setting vm.max_map_count
- 2. Configuring Kernel Parameters
- Example: Setting Kernel Parameters
- 3. Using Memory-Mapped Files
- Example: Enabling Memory-Mapped Files
- 4. Optimizing Disk I/O
- Example: Disk I/O Throttling Configuration
- Key Recommendations
- 5. Tuning Network Settings
- Example: Apply network settings via sysctl
- 6. Using Dedicated Master Nodes
- Example: Dedicated Master Node Configuration
- Benefits of Dedicated Master Nodes
- 7. Implementing Data Tiers
- Example: Setting up a Data Tier Policy
- Benefits of Data Tiers
- 8. Using Index Sorting
- Example: Configure index sorting
- 9. Optimizing Shard Size
- Example: Setting shard count during index creation
- Example: Changing replica count after index creation
- Best Practices for Shard Size
- 10. Configuring Slow Log Thresholds
- Example: Setting Slow Log Thresholds
- 11. Using Adaptive Replica Selection
- Example: Enabling Adaptive Replica Selection
- 12. Implementing Query Result Caching
- Example: Enabling Query Caching in elasticsearch.yml
Working with Data Transforms
- 1. Understanding Transforms
- 2. Creating Transform Jobs
- Example: Creating a Transform Job
- 3. Configuring Pivot Transforms
- Example: Basic Pivot Transform Configuration
- 4. Using Latest Transforms
- Example: Applying a Script Transform
- 5. Setting Transform Sync Configuration
- Example: Configuring Transform Sync
- 6. Configuring Retention Policy
- Example: Setting up a retention policy
- 7. Starting and Stopping Transforms
- Example: Starting a Transform
- Example: Stopping a Transform
- 8. Previewing Transform Results
- Example: Previewing Transform Results in Kibana
- Previewing Transform Results - Key Points
- 9. Monitoring Transform Progress
- Example: Check Transform Status
- Example: Get Transform Stats
- 10. Handling Transform Errors
- Example: Error Handling in Transform Script
- 11. Using Transform Checkpointing
- Example: Enabling Transform Checkpointing
- 12. Optimizing Transform Performance
- Example: Ingest Pipeline Optimization
- Key Performance Metrics