LogStash: Concept Run-Through

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Manuj Aggarwal

An overview, features and the key components of LogStash. https://goo.gl/oZIrwS

Software

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

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

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

Files
AWS S3
Elastic Search
Grok
GeoIP
Drop
Anonymize
Inputs Filters Outputs
LogStash Pipeline
How Does LogStash Work?

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LogStash: Concept Run-Through

2. LogStash: Concept Run-Through

3. What is LogStash?

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

7. History of LogStash What is LogStash?

8. What Can LogStash Do?

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

11. What Constitutes LogStash?

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

16. How Does LogStash Work?

17. Files AWS S3 Elastic Search Grok GeoIP Drop Anonymize Inputs Filters Outputs LogStash Pipeline How Does LogStash Work?