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Getting Started with Elastic Stack 8.0

Getting Started with Elastic Stack 8.0

By : Asjad Athick
4.3 (9)
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Getting Started with Elastic Stack 8.0

Getting Started with Elastic Stack 8.0

4.3 (9)
By: Asjad Athick

Overview of this book

The Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas. This three-part book starts with an introduction to the Elastic Stack with high-level commentary on the solutions the stack can be leveraged for. The second section focuses on each core component, giving you a detailed understanding of the component and the role it plays. You’ll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. Next, you’ll look at Logstash, Beats, and Elastic Agent as components that can collect, transform, and load data. Later chapters help you use Kibana as an interface to consume Elastic solutions and interact with data on Elasticsearch. The last section explores the three main use cases offered on top of the Elastic Stack. You’ll start with a full-text search and look at real-world outcomes powered by search capabilities. Furthermore, you’ll learn how the stack can be used to monitor and observe large and complex IT environments. Finally, you’ll understand how to detect, prevent, and respond to security threats across your environment. The book ends by highlighting architecture best practices for successful Elastic Stack deployments. By the end of this book, you’ll be able to implement the Elastic Stack and derive value from it.
Table of Contents (18 chapters)
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1
Section 1: Core Components
4
Section 2: Working with the Elastic Stack
12
Section 3: Building Solutions with the Elastic Stack

Running on Kubernetes

Elastic Stack components can be run on Kubernetes using Elastic Cloud on Kubernetes (ECK). Kubernetes is an open source platform for managing containerized workloads using declarative configuration. Kubernetes is a popular platform used by many organizations for existing workloads. ECK is a Kubernetes operator that supports the orchestration of Elasticsearch, Kibana, and Beats deployments. It can also handle rolling upgrades and configuration changes without downtime. The ECK operator allows teams that run existing workloads on Kubernetes to deploy and manage multiple Elasticsearch deployments on the same platform they already use with ease.

Note

ECK is a paid subscription feature offered by Elastic.

Provision a Kubernetes cluster to test the deployment of Elasticsearch and Kibana before running the following commands. You can use either a local or a cloud-based managed Kubernetes cluster, such as Google GKE or AWS EKS:

  1. Install the ECK Kubernetes...

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