What is Logstash?
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 your favorite “stash.”
Logstash Benefits
- Logstash allows you to easily ingest unstructured data from a variety of data sources including system logs, website logs, and application server logs.
- Logstash offers pre-built filters, so you can readily transform common data types, index them in Elasticsearch, and start querying without having to build custom data transformation pipelines.
- With over 200 plugins already available on Github, it is likely that someone has already built the plugin you need to customize your data pipeline.
Logstash work in 3 phases….
Phase 1 – When it comes from ingests data from a multitude of sources simultaneously, which includes files, s3,beats, kafka etc. Data is often scattered or siloed across many systems in many formats. Logstash supports a variety of inputs that pull in events from a multitude of common sources, all at the same time.
List of sources from where logstash can ingest the data are as follows;
https://www.elastic.co/guide/en/logstash/current/input-plugins.html
Phase 2 – Next, It Parse & Transform Your Data On the Fly. As data travels from source to store, Logstash filters parse each event, identify named fields to build structure, and transform them to converge on a common format for easier, accelerated analysis and business value. Logstash dynamically transforms and prepare your data regardless of format or complexity
Phase 3 – Last, Logstash stored the parsed data into Elasticsearch, aws,hadoop, Mongodb and go-to output that opens up a world of search and analytics possibilities.Logstash has a variety of outputs that let you route data where you want, giving you the flexibility to unlock a slew of downstream use cases. Some of these are given below;
https://www.elastic.co/guide/en/logstash/current/output-plugins.html
Where you can use the Logstash?
- Log Analytics – Ingest un-structured and semi-structured logs generated by servers, applications, mobile devices, and more for a wide variety of applications such as digital marketing, application monitoring, fraud detection, ad tech, gaming, and IoT. Logstash provides plugins to quickly load data from a variety of data sources.
- IT Operations Monitoring – Capture server logs and push them into your Elasticsearch cluster using Logstash. Elasticsearch indexes the data and makes it available for analysis in near real-time (less than one second). You can then use Kibana to visualize the data and perform operational analyses like identifying network issues and disk I/O problems. Your on-call teams can perform statistical aggregations to identify root cause and fix issues.
I’m Rajesh Kumar, a DevOps, SRE, DevSecOps, Cloud, and Platform Engineering expert passionate about sharing practical knowledge, real-world experiences, and industry best practices. I have worked at Cotocus and regularly write about technology, travel, investing, health, product reviews, and digital marketing through my various platforms.
I publish technical articles at DevOps School, travel stories at Holiday Landmark, stock market insights at Stocks Mantra, health and fitness guidance at My Medic Plus, product reviews at TrueReviewNow, and SEO and digital marketing strategies at Wizbrand.
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