Introduction to Elasticsearch

• From analysis to research
• Index, documents, nodes, shards ...: the concepts
• Analysis and indexing
• Research and aggregations
• Lab 1: Installation 1 node, indexations and research (CRUD)

Sizing and installation

• Prepared
• Clustering, Zen Discovery, Split brain
• CPU: competition, thread pools
• Memory: Java heap and garbage collector, cutout, swap
• Network: multicast / unicast, firewall
• Disk: organization of the file system, the flush (translog)
• Sizing method
• Lab 2: ES cluster installation of 3 nodes

Monitoring and surveillance

• Cluster Health API, Cat ...
• Logs and slow query logging
• Metrics to monitor
• Lab 3: Cluster / Node stats, Cat, Marvel

Day-to-day maintenance

• Index aliases
• Configuration of the allocation
• Shard / node assignment (Cluster Route API)
• Restart: warmers
• Backups: snapshot and restore
• Upgrades
• Commission / decommission a machine
• Curator
• Lab 4: Backup and restore, Remove / add a node ...

Security

• Authentication and permissions
• Scripting
• Shield, reverse proxy

Performance and optimization

• Indexation:
  • Bulk API
  • Alias
• Research:
  • filtering, post filtering and cache
  • wildcard, parent / child
  • Aggregations and sorts: doc_values ​​and fielddata