Best Logstash Courses & Best Logstash Books 2021

Best Logstash Courses 2021

 

Best Logstash Tutorials 2021

Complete Elasticsearch Masterclass with Logstash and Kibana

Elasticsearch is the biggest player in Big Data since Hadoop. I would actually guarantee it’s the Hadoop killer!

It is only just starting to be recognized and adopted on a larger scale in the no-sql big data space and Elasticsearch has come a long way since its first release. I’m sure that by simply adding Elasticsearch to your LinkedIn profile, you’ll catch the attention of various companies investing in this technology. So get excited about Elasticsearch because it’s a big deal. The average salary of an Elasticsearch engineer is over $ 100,000 and the demand for engineers is high.

This course is most suitable for people who want to not only improve their CV with this exciting new technology, but also improve their applications to be extremely fast by properly implementing Elasticsearch. I’ve designed this course to be practical and easy to follow by repeating key concepts with step-by-step instructions and best practices for building a search engine from scratch.

By the end of this course, you will know everything there is to know about how to build a search engine using the most recent and popular version of Elasticsearch 6 for your application, as well as the way to perform powerful real-time analysis on your data.

Topics covered in this course:

Configure Elaticsearch and Kibana

Downloading and configuring Logstash

Logstash

Kibana

Indexing, retrieving and deleting documents

Text analysis

Index settings

Index mapping

DSL Query Context Lookup

DSL filter context search

DSL aggregations

Indexing Apache application logs

Kibana visualizations

Using Filebeat

Older Elasticsearch 5 hardware

Data Processing with Logstash (and Filebeat)

Want to know how to handle events with Logstash? Then you have come to the right place; This course is by far the most comprehensive course on Logstash at Udemy! This course specifically covers Logstash, which means we can go into much more detail than if this course covered the entire Elastic stack. So if you want to learn Logstash specifically, then this course is for you!

This course does not assume any prior knowledge or experience of Logstash. We start from the basics and gradually move on to more advanced topics. The course is designed so that you can follow all the time step by step, and you can find all the configuration files in a GitHub repository. The course covers topics such as managing Apache web server logs (access and error logs), data enrichment, sending data to Elasticsearch, visualizing data with Kibana, as well as coverage of a number of popular use cases that you are likely to encounter. By the end of this course, you will know all the most important aspects of Logstash, and be able to create complex pipeline configurations and process many types of events and data.

What is Logstash?
If you don’t know what Logstash is, it is an event processing engine developed by the company behind Elasticsearch, Kibana, etc. Logstash is often used as a key part of the ELK or Elastic Stack, so it offers a strong synergy with these technologies. You can use Logstash to process many different types of events, and an event can be multiple things. You can process access or error logs from a web server, or you can send events to Logstash from an e-commerce application, such as when an order has been received or when a payment has been processed. You can ingest data from files (flat files, JSON, XML, CSV, etc.), receive data via HTTP or TCP, retrieve data from databases, etc. Logstash then allows you to process and manipulate the events before sending them to a destination of your choice, such as Elasticsearch, email, or Slack.

Why do we need Logstash?
Because by sending events to Logstash, you decouple things. You efficiently move event processing from the web application to Logstash, which means that if you need to change the way events are handled, you don’t need to deploy a new version of a web application, for example. . Event processing and its configuration are centralized in Logstash instead of every place you trigger events. This means that all the web application needs to do is send an event to Logstash; he doesn’t need to know anything about what happens after the event and where it ends. This improves your architecture and allows Logstash to do what it does best; process events.

ElasticSearch, LogStash, Kibana ELK #2 – Learn LogStash

In recent years, the term BigData has gained in popularity. And there has been a paradigm shift in the volume of information and the way it can be extracted from that data.

ELK is one of the few new-age frameworks capable of handling the demands and scalability of Big Data.

Over the years, the ELK battery has become very popular. And for good reason. It is a very robust, mature and feature rich framework.

ELK is used by large corporations, government organizations, and startups. The ELK stack has a very rich and active community behind it. They develop, share, and support tons of source code, components, plugins, and knowledge about these tools freely and openly.

Imagine a large organization, which has information from various sources, at various frequencies and in various formats. It will be a Herculean task to sort and sift this data and normalize it for use for any comprehensive analysis. We’re going to need a pretty versatile and flexible tool to handle all of these permutations of data flows.

In this course, we will focus on one of these enterprise data collection and classification tools, the LogStash, which is one of the basic components of the ELK stack. We’ll take a look at the big picture and explore the technology behind this tool.

The knowledge and experience of ELK and LogStash could be of great value to your career. The latest statistics and figures show some startling numbers, like jobs requiring these skills pay more than most jobs posted on public job boards in the United States and annual salaries for professionals could reach $ 100,000. This is the exact reason why you need to enroll in this course and take your career to the next level.

As the title suggests, this course aims to provide you with enough knowledge about ELK and LogStash so that you can run and operate your own cluster of data ingestion pipelines using these components together. But specifically:

You will become familiar with the features and benefits offered by LogStash.
Since this course provides detailed demonstrations of installing and configuring LogStash, it will equip you well for future use of this technology.
The more you are equipped, the more you will be wanted. And this course will be a good step to improve your work / project / career prospects.
So come on, join me on this exciting journey of learning about the ElK stack and in particular the LogStash data ingestion tool.

Best Logstash Books 2021

The Logstash Book

The Logstash Book
  • Amazon Kindle Edition
  • Turnbull, James (Author)
  • English (Publication Language)
  • 191 Pages - 12/20/2013 (Publication Date)

The Logstash Book by James Turnbull is designed for SysAdmins, Operations staff, Developers and DevOps who are interested in deploying a log management solution using the open source Elasticsearch Logstash & Kibana or ELK stack.

In this book we will walk you through installing, deploying, managing and extending Logstash. We’re going to do that by introducing you to Example.com, where you’re going to start a new job as one of its SysAdmins. The first project you’ll be in charge of is developing its new log management solution.

We’ll teach you how to:

* Install and deploy Logstash.
* Ship events from a Logstash Shipper to a central Logstash server.
* Filter incoming events using a variety of techniques.
* Add structured logging to your applications and parse your application logs.
* Output those events to a selection of useful destinations.
* Use Logstash’s awesome web interface Kibana.
* Scale out your Logstash implementation as your environment grows.
* Quickly and easily extend Logstash to deliver additional functionality you might need.

By the end of the book you should have a functional and effective log management solution that you can deploy into your own environment.