Elastic Stack 8. x Cookbook Over 80 Recipes to Perform Ingestion, Search, Visualization, and Monitoring for Actionable Insights
Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environments Key Features Explore the diverse capabilities of the Elastic Stack through a comprehensive set of recipes Build search applica...
| Other Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Birmingham, England :
Packt Publishing
[2024]
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| Edition: | First edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009837627306719 |
Table of Contents:
- Cover
- Title Page
- Copyright and Credits
- Dedication
- Foreword
- Contributors
- Acknowledgments
- Table of Contents
- Preface
- Chapter 1: Getting Started - Installing the Elastic Stack
- Deploying the Elastic Stack on Elastic Cloud
- How to do it…
- How it works…
- There's more…
- Installing the Elastic Stack with ECK
- Technical requirements
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Installing a self-managed Elastic Stack
- Getting ready
- How to do it…
- How it works…
- There's more…
- Creating and setting up data tiering
- Getting ready
- How to do it on your local machine…
- How it works (on self-managed)…
- How to do it on Elastic Cloud…
- How to do it on ECK…
- There's more…
- See also
- Creating and setting up additional Elasticsearch nodes
- Getting ready
- How to do it...
- How it works…
- How to do it on Elastic Cloud...
- How to do it on ECK…
- There's more…
- See also
- Creating and setting up Fleet Server
- Getting ready
- How to do it on a self-managed Elastic Stack…
- How it works…
- Setting up on Elastic Cloud
- See also
- Setting up snapshot repository
- Getting ready
- How to do it…
- How it works…
- There's more…
- Chapter 2: Ingesting General Content Data
- Introducing the Wikipedia Movie Plots dataset
- Technical requirements
- Adding data from the Elasticsearch client
- Getting ready
- How to do it…
- How it works...
- There's more…
- Updating data in Elasticsearch
- Getting ready
- How to do it…
- How it works...
- There's more…
- Deleting data in Elasticsearch
- Getting ready
- How to do it…
- How it works...
- There's more…
- See also
- Using an analyzer
- Getting ready
- How to do it…
- How it works...
- There's more…
- Defining index mapping
- Getting ready
- How to do it…
- How it works.
- There's more…
- See also
- Using dynamic templates in document mapping
- Getting ready
- How to do it…
- How it works...
- There's more…
- See also
- Creating an index template
- Getting ready
- How to do it…
- How it works...
- There's more…
- Indexing multiple documents using Bulk API
- Getting ready
- How to do it…
- How it works...
- There's more…
- See also
- Chapter 3: Building Search Applications
- Technical requirements
- Searching with Query DSL
- Getting ready
- How to do it...
- How it works...
- There's more...
- Building advanced search queries with Query DSL
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Using search templates to pre-render search requests
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Getting started with Search Applications for your Elasticsearch index
- Getting ready
- How to do it...
- How it works...
- Building a search experience with the Search Application client
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Measuring the performance of your Search Applications with Behavioral Analytics
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Chapter 4: Timestamped Data Ingestion
- Technical requirements
- Deploying Elastic Agent with Fleet
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Monitoring Apache HTTP logs and metrics using the Apache integration
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Deploying standalone Elastic Agent
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Adding data using Beats
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also.
- Setting up a data stream manually
- Dataset
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Setting up a time series data stream manually
- Getting ready
- How to do it...
- How it works…
- There's more...
- See also
- Chapter 5: Transform Data
- Technical requirements
- Creating an ingest pipeline
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Enriching data with a custom ingest pipeline for an existing Elastic Agent integration
- Getting ready
- How to do it...
- How it works...
- There's more...
- Using a processor to enrich your data before ingesting with Elastic Agent
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Installing self-managed Logstash
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Creating a Logstash pipeline
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Setting up pivot data transform
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Setting up the latest data transform
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Downsampling your time series data
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Chapter 6: Visualize and Explore Data
- Technical requirements
- Exploring your data in Discover
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Exploring your data with ES|QL
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Creating visualizations with Kibana Lens
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Creating visualizations from runtime fields
- Getting ready.
- How to do it...
- How it works...
- There's more...
- See also
- Creating Kibana maps
- Getting ready
- How to do it...
- How it works...
- There's more…
- See also
- Creating and using Kibana dashboards
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Creating Canvas workpads
- Getting ready
- How to do it...
- How it works...
- There's more…
- See also
- Chapter 7: Alerting and Anomaly Detection
- Technical requirements
- Creating alerts in Kibana
- Getting ready
- How to do it...
- How it works...
- There's more…
- See also
- Monitoring alert rules
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Investigating data with log rate analysis
- Getting ready
- How to do it...
- How it works...
- There's more…
- See also
- Investigating data with log pattern analysis
- Getting ready
- How to do it...
- How it works...
- There's more...
- Investigating data with change point detection
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Detecting anomalies in your data with unsupervised machine learning jobs
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Creating anomaly detection jobs from a Lens visualization
- Getting ready
- How to do it...
- How it works...
- There's more...
- Chapter 8: Advanced Data Analysis and Processing
- Technical requirements
- Finding deviations in your data with outlier detection
- Getting ready
- How to do it…
- How it works…
- See also
- Building a model to perform regression analysis
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Building a model for classification
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Using a trained model for inference.
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Deploying third-party NLP models and testing via the UI
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Running advanced data processing with trained models
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Chapter 9: Vector Search and Generative AI Integration
- Technical requirements
- Implementing semantic search with dense vectors
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Implementing semantic search with sparse vectors
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Using hybrid search to build advanced search applications
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Developing question-answering applications with Generative AI
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Using advanced techniques for RAG applications
- Getting ready
- How to do it...
- How it works...
- There's more...
- See also
- Chapter 10: Elastic Observability Solution
- Technical requirements
- Instrumenting your application with Elastic APM
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Setting up RUM
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Instrumenting and monitoring with OpenTelemetry
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Monitoring Kubernetes environments with Elastic Agent
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also
- Managing synthetics monitoring
- Getting ready
- How to do it…
- How it works…
- There's more…
- See also.
- Gaining comprehensive system visibility with Elastic Universal Profiling.
