Elasticsearch 5.x Solutions – Node and Cluster Management

Elasticsearch 5.x Solutions – Node and Cluster Management, available at $19.99, has an average rating of 3.71, with 21 lectures, based on 7 reviews, and has 72 subscribers.

You will learn about Control cluster health and state via an API Use the task management and Hot thread API Manage repositories Manage Kibana dashboards Visualize data with Kibana Look at PUT, GET, and DELETE an ingest pipeline Built-in and Grok processors This course is ideal for individuals who are If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the video for you. It is particularly useful for If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the video for you.

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Summary

Title: Elasticsearch 5.x Solutions – Node and Cluster Management

Price: $19.99

Average Rating: 3.71

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Control cluster health and state via an API
Use the task management and Hot thread API
Manage repositories
Manage Kibana dashboards
Visualize data with Kibana
Look at PUT, GET, and DELETE an ingest pipeline
Built-in and Grok processors

Who Should Attend

If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the video for you.

Target Audiences

If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the video for you.

This highly practical course focuses primarily on the node and cluster management aspects of Elasticsearch. The video contains recipes and hands-on solutions to backing up and restoring your nodes and clusters in Elasticsearch, as well as working with user interfaces.

About The Author

Alberto Paro is an engineer, project manager, and software
developer. He currently works as freelance trainer/consultant on big
data technologies and NoSQL solutions. He loves to study emerging
solutions and applications mainly related to big data processing, NoSQL,
natural language processing, and neural networks. He began programming
in BASIC on a Sinclair Spectrum when he was eight years old, and to
date, has collected a lot of experience using different operating
systems, applications, and programming languages.

In 2000, he graduated in computer science engineering from
Politecnico di Milano with a thesis on designing multiuser and
multidevice web applications. He assisted professors at the university
for about a year. He then came in contact with The Net Planet Company
and loved their innovative ideas; he started working on knowledge
management solutions and advanced data mining products. In summer 2014,
his company was acquired by a big data technologies company, where he
worked until the end of 2015 mainly using Scala and Python on
state-of-the-art big data software (Spark, Akka, Cassandra, and YARN).
In 2013, he started freelancing as a consultant for big data, machine
learning, Elasticsearch and other NoSQL products. He has created or
helped to develop big data solutions for business intelligence,
financial, and banking companies all over the world. A lot of his time
is spent teaching how to efficiently use big data solutions (mainly
Apache Spark), NoSql datastores (Elasticsearch, HBase, and Accumulo) and
related technologies (Scala, Akka, and Playframework). He is often
called to present at big data or Scala events. He is an evangelist on
Scala and Scala.js (the transcompiler from Scala to JavaScript).

Course Curriculum

Chapter 1: Managing Clusters and Nodes

Lecture 1: The Course Overview

Lecture 2: Controlling Cluster Health and State Via an API

Lecture 3: Getting Nodes Information and Statistics Via API

Lecture 4: Using the Task Management and the Hot thread API

Lecture 5: Managing the Shard Allocation

Lecture 6: Monitoring Segments and Clearing the Cache

Chapter 2: Backup and Restore

Lecture 1: Managing Repositories

Lecture 2: Executing a Snapshot

Lecture 3: Restoring a Snapshot

Lecture 4: Reindexing from a Remote Cluster

Chapter 3: User Interfaces

Lecture 1: Installing and Using Cerebro

Lecture 2: Installing Kibana and X-Pack

Lecture 3: Managing Kibana Dashboards

Lecture 4: Monitoring with Kibana

Lecture 5: Using Kibana dev-console

Lecture 6: Visualizing Data with Kibana

Chapter 4: Ingest

Lecture 1: Pipeline Definition

Lecture 2: PUT, GET, and DELETE an Ingest Pipeline

Lecture 3: Simulating an Ingest Pipeline

Lecture 4: Built-in and Grok Processors

Lecture 5: Using the Ingest Attachment and GeoIP Plugin

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 1 votes
5 stars: 2 votes

Frequently Asked Questions

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