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LogStash: Concept Run-Through

•
M
Manuj Aggarwal

LogStash is an open source data processing pipeline that ingests data from multiple sources, transforms it, and sends it to outputs. It was created in 2013 to aggregate and manage log files. LogStash is now part of the ELK stack and provides insights into customer interactions. LogStash has inputs to specify data sources, filters to parse and enrich events, and outputs to send processed data to destinations like Elasticsearch.

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LogStash: Concept Run-Through
LogStash: Concept Run-Through
What is LogStash?
What is LogStash? Definition Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to a specified output.
What is LogStash? Definition Jordan Sissel created the first version of LogStash in 2013, when he frequently found himself in the thick of aggregating and managing log files. Logstash continued to grow with the other components of the ELK stack and is now part of a comprehensive platform for log data and analysis, providing companies with valuable insights into how their customers interact with support system, e-commerce sites and so on.
What is LogStash? Importance of LogStash Open source data collection engine Centralize data processing of all types Normalized varying schema for business critical data Support for multiple and custom formats Extensibility via plugins
History of LogStash What is LogStash?
What Can LogStash Do?
Core Features What Can LogStash Do? Data ingestion workhorse Events enrichment and transformation Extensible plugin ecosystem It is highly available, scalable and elastic in nature. Pluggable pipeline architecture Horizontally scalable data processing pipeline Strong Elasticsearch and Kibana synergy Handles data of all shapes and sizes
LogStash Versatility What Can LogStash Do? Analysis Archiving Monitoring Alerting Search
What Constitutes LogStash?
Key Components and Terminology What Constitutes LogStash? INPUTS FILTERS OUTPUTS
Specify the source of events LogStash can handle variety of sources Most common ones are: Logs Network Web Data stores and streams Sensors and IoT Key Components and Terminology What Constitutes LogStash? INPUTS
Key Components and Terminology What Constitutes LogStash? FILTERS Responsible for parsing the incoming events May enrich the events Most common ones are: grok mutate drop
Key Components and Terminology What Constitutes LogStash? OUTPUTS Final stage of the pipeline Sends the enriched output to a specified destination LogStash can handle variety of destinations ElasticSearch AWS S3 buckets Files
How Does LogStash Work?
Files AWS S3 Elastic Search Grok GeoIP Drop Anonymize Inputs Filters Outputs LogStash Pipeline How Does LogStash Work?
LogStash: Concept Run-Through

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LogStash: Concept Run-Through

  • 4. What is LogStash? Definition Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to a specified output.
  • 5. What is LogStash? Definition Jordan Sissel created the first version of LogStash in 2013, when he frequently found himself in the thick of aggregating and managing log files. Logstash continued to grow with the other components of the ELK stack and is now part of a comprehensive platform for log data and analysis, providing companies with valuable insights into how their customers interact with support system, e-commerce sites and so on.
  • 6. What is LogStash? Importance of LogStash Open source data collection engine Centralize data processing of all types Normalized varying schema for business critical data Support for multiple and custom formats Extensibility via plugins
  • 9. Core Features What Can LogStash Do? Data ingestion workhorse Events enrichment and transformation Extensible plugin ecosystem It is highly available, scalable and elastic in nature. Pluggable pipeline architecture Horizontally scalable data processing pipeline Strong Elasticsearch and Kibana synergy Handles data of all shapes and sizes
  • 10. LogStash Versatility What Can LogStash Do? Analysis Archiving Monitoring Alerting Search
  • 12. Key Components and Terminology What Constitutes LogStash? INPUTS FILTERS OUTPUTS
  • 13. Specify the source of events LogStash can handle variety of sources Most common ones are: Logs Network Web Data stores and streams Sensors and IoT Key Components and Terminology What Constitutes LogStash? INPUTS
  • 14. Key Components and Terminology What Constitutes LogStash? FILTERS Responsible for parsing the incoming events May enrich the events Most common ones are: grok mutate drop
  • 15. Key Components and Terminology What Constitutes LogStash? OUTPUTS Final stage of the pipeline Sends the enriched output to a specified destination LogStash can handle variety of destinations ElasticSearch AWS S3 buckets Files
  • 17. Files AWS S3 Elastic Search Grok GeoIP Drop Anonymize Inputs Filters Outputs LogStash Pipeline How Does LogStash Work?