A presentation at DevClash St. Pölten by Alexander Reelsen
Elasticsearch - A hands-on introduction Alexander Reelsen Community Advocate alex@elastic.co | @spinscale
Agenda What is the Elastic Stack Elasticsearch introduction Elasticsearch practical demo Integrating Elasticsearch into your application
Product Overview
Solutions on top of the Elastic Stack
Elastic Stack building & lego blocks
Deployment options
Licensing
Elastic Stack building & lego blocks
Elasticsearch in 10 seconds Search Engine (FTS, Analytics, Geo), near real-time Distributed, scalable, highly available, resilient Interface: HTTP & JSON Heart of the Elastic Stack (Kibana, Logstash, Beats)
Installation & Start # https://www.elastic.co/downloads/elasticsearch wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-darwin-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-linux-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-windows-x86_64.zip tar zxf elasticsearch-7.7.0-darwin-x86_64.tar.gz cd elasticsearch-7.7.0 ./bin/elasticsearch wget https://artifacts.elastic.co/downloads/kibana/kibana-7.7.0-darwin-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/kibana/kibana-7.7.0-linux-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/kibana/kibana-7.7.0-windows-x86_64.zip tar zxf kibana-7.7.0-darwin-x86_64.tar.gz cd kibana-7.7.0 ./bin/kibana Point your browser to http://localhost:5601/
Click Dev-Tools Samples in Kibana Samples in Github
Demo
Indexing, Mapping & Enrichment Index API Bulk API Put Mapping API Datatypes Enrichment
Document search & Aggregations Query DSL Search API Aggregations
Administration tasks Snapshot and restore Reindexing ILM Monitoring Frozen Indices Securing a cluster
Elasticsearch Clients Not just glorified HTTP clients Retry after failure Sniffing Bulk helpers Java, JavaScript, Ruby, Go, .NET, PHP, Perl, Python, Rust
Elasticsearch is distributed! Scaling reads, scaling writes, ensuring high availibility Run as single node or hundreds of nodes together Users should never care if they query/index against a small or big cluster Add a new node, Elasticsearch will balance data & queries automatically Specialized roles (master, data, ingest, ml, voting only) Orchestration becomes more important as use-case clusters might be easier to maintain & upgrade than the one big cluster
More, more, more… More Queries, aggregations & data types Text analysis (phonetic search, search as you type) ILM, rollup, transform, frozen indices Security Alerting SQL Machine Learning Stack Monitoring Major version upgrades & deprecations Solutions (Observability, Enterprise Search, Security)
Summary Understanding search is hard Use the reference documentation Ask your users about expectations, do not guess!
Next steps Check out https://demo.elastic.co
Check out Observability Uptime Metrics Logs APM
Uptime
Metrics
Logs
APM
APM
Check out Security SIEM Endpoint Security
SIEM
Check out Enterprise Search Workplace Search App Search
App Search
Workplace Search
Connectors
Getting more help
Discuss Forum https://discuss.elastic.co
Community & Meetups https://community.elastic.co
Official Elastic Training https://training.elastic.co
Thanks for listening Q&A Alexander Reelsen Community Advocate alex@elastic.co | @spinscale
This presentation gives a quick introduction into the Elastic Stack, its solutions built on top of it and dives immediately into Kibana and its Dev Tools to show of its basic functionality and how full text search works.
The kibana snippets are available at https://gist.github.com/spinscale/22aba88231aeea3e22cdbf204646d3ac
for free. You
can too.