harry-wood/running-elasticsearch-fun-profit

A book about running Elasticsearch

WIP, COVERS ELASTICSEARCH 5.5.x, UPDATING TO ES 6.5.x

Operating Elasticsearch

for Fun and Profit

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Fred de Villamil

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Read online

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Code of Conduct

• Behave like normal, friendly, welcoming human beings or get the hell out.
• Any reference to a non scientific, verifiable element is irrelevant.

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TOC

• Getting Started with Elasticsearch

  • Prerequisites
  • Elasticsearch basic concepts
    • REST APIs
    • Open Source
    • Java
    • Distributed
    • Scalable
    • Fault tolerant
  • What's an Elasticsearch cluster?
    • Master node
    • Ingest nodes
    • Data Nodes
    • Tribe Nodes
    • A Minimal, Fault Tolerant Elasticsearch Cluster
  • What's an Elasticsearch index
  • Deploying your first Elasticsearch cluster
    • Deploying Elasticsearch on Debian
    • Deploying Elasticsearch on RHEL / CentOS
  • First step using Elasticsearch
  • Elasticsearch Configuration
  • Elasticsearch Plugins

• Elasticsearch and the Java Virtual Machine

  • Supported JVM and operating systems / distributions
    • Operating system matrix
    • Java Virtual Machine matrix
  • Memory management
  • Garbage collection
    • Concurrent Mark & Sweep Garbage Collector
    • Garbage First Garbage Collector

• A few things you need to know about Lucene

  • Lucene segments
  • Lucene deletes and updates

• Designing the Perfect Elasticsearch Cluster

  • Elasticsearch is elastic, for real
  • Design for failure
  • Hardware
    • CPU
    • Memory
    • Network
    • Storage
  • Software
    • The Linux (004-cluster-design/004-cluster-design.md//or FreeBSD) kernel
    • The Java Virtual Machine
    • The filesystem
  • Designing your indices
    • Sharding
    • Replication
  • Optimising allocation
  • Troubleshooting and scaling
    • CPU
    • Memory

• Design for Event Logging

  • Design of an event logging infrastructure cluster
    • Throughput: how many events per second (005-design-event-logging/005-design-event-logging.md//eps) are you going to collect?
    • Retention: how long do you want to keep your data, hot and cold?
    • Size: what is the average size of a collected event?
    • Fault tolerance: can you afford losing your indexed data?
    • Queries
  • Which hardware do I need?
  • How to design my indices?
  • What about some tuning?

• Operating Daily

  • Elasticsearch most common operations
    • Mass index deletion with pattern
    • Mass optimize, indexes with the most deleted docs first
    • Restart a cluster using rack awareness
    • Optimize your cluster restart
    • Remove data nodes from a cluster the safe way
  • Get useful information about your cluster
    • Nodes information
    • Monitor your search queues
    • Indices information
    • Shard allocation information
    • Recovery information
    • Segments information (006-operating-daily/006-operating-daily.md//can be extremely verbose)
    • Cluster stats
    • Nodes stats
    • Indice stats
    • Indice mapping
    • Indice settings
    • Cluster dynamic settings
    • All the cluster settings (006-operating-daily/006-operating-daily.md//can be extremely verbose)

• Monitoring Elasticsearch

  • Tools
  • Monitoring at the host level
  • Monitoring at the node level
  • Monitoring at the cluster level
  • Monitoring at the index level

• How we reindexed 36 billion documents in 5 days within the same Elasticsearch cluster

  • The "Blackhole" cluster
  • Elasticsearch configuration
  • Tuning the Java virtual machine
    • Blackhole Initial indexing
  • Blackhole initial migration
  • Blackhole reindexing
    • The reindexing process
    • Logstash configuration
    • Reindexing Elasticsearch configuration
    • Introducing Yoko and Moulinette
  • Reindexing in 5 days
  • Conclusion

• Use Case: Migrating a Cluster Across the Ocean Without Downtime

• Use Case: An Advanced Elasticsearch Architecture for High-volume Reindexing

  • A glimpse at our infrastructure
  • Using Elasticsearch for fun and profit
  • Conclusion

• Migrating a 130TB Cluster from Elasticsearch 2 to 5 in 20 Hours with 0 Downtime and a Rollback Strategy

  • Elasticsearch @Synthesio, November 2017
  • The Blackhole Cluster
  • Migration Strategies: Cluster restart VS Reindex API VS Logstash VS the Fun Way
    • The Cluster Restart Strategy
    • The Reindex API Strategy
    • The Logstash Strategy
    • The Fun Way
  • Migrating Blackhole for Real
    • Expanding Blackhole
    • Splitting Blackhole in 2
  • Conclusion

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An `inline code block` goes like this

API calls go the Curl way

curl -X POST "localhost:9200/_search" -H 'Content-Type: application/json' -d'
{
    "query" : {
        "match_all" : {}
    },
    "stats" : ["group1", "group2"]
}
'

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