- At least 2 CPU cores are needed for optimal functionality on smaller deployments.
- At least 2Ghz.
- Slower or less than 2 CPUs impact mostly Elasticsearch startup time, indexing rate and latency.
- The kernel uses available RAM for caching requests to the filesystem.
- If swapping occurs, search latency will be greatly impacted.
- Elasticsearch will fail to start if there’s not enough memory, once running if there’s not sufficient memory OOM will kill Elasticsearch.
- The minimum is 2.5GB but 4GB is recommended.
- /var/lib/elasticsearch
- Lower latency helps with the indexing/ search latency.
- 2GB RAM and 1 CPU.
- This is a storage location where logstash will persistently store queues in the scenario of a crash.
- How many users will access concurrently the dashboard.
Hands-On Linux for Architects
By :
Hands-On Linux for Architects
By:
Overview of this book
It is very important to understand the ?exibility of an infrastructure when designing an efficient environment. In this book, you will cover everything from Linux components and functionalities through to hardware and software support, which will help you to implement and tune effective Linux-based solutions.
This book gets started with an overview of Linux design methodology. Next, you will focus on the core concepts of designing a solution. As you progress, you will gain insights into the kinds of decisions you need to make when deploying a high-performance solution using Gluster File System (GlusterFS). In the next set of chapters, the book will guide you through the technique of using Kubernetes as an orchestrator for deploying and managing containerized applications. In addition to this, you will learn how to apply and configure Kubernetes for your NGINX application. You’ll then learn how to implement an ELK stack, which is composed of Elasticsearch, Logstash, and Kibana. In the concluding chapters, you will focus on installing and configuring a Saltstack solution to manage different Linux distributions, and explore a variety of design best practices. By the end of this book, you will be well-versed with designing a high-performing computing environment for complex applications to run on.
By the end of the book, you will have delved inside the most detailed technical conditions of designing a solution, and you will have also dissected every aspect in detail in order to implement and tune open source Linux-based solutions
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Current Title:
Hands-On Linux for Architects
Table of Contents (22 chapters)
Preface
Free Chapter
Section 1: High-Performance Storage Solutions with GlusterFS
Introduction to Design Methodology
Defining GlusterFS Storage
Architecting a Storage Cluster
Using GlusterFS on the Cloud Infrastructure
Analyzing Performance in a Gluster System
Section 2: High-Availablility Nginx Web Application Using Kubernetes
Creating a Highly Available Self-Healing Architecture
Understanding the Core Components of a Kubernetes Cluster
Architecting a Kubernetes Cluster
Deploying and Configuring Kubernetes
Section 3: Elastic Stack
Monitoring with the ELK Stack
Designing an ELK Stack
Using Elasticsearch, Logstash, and Kibana to Manage Logs
Section 4: System Management Using Saltstack
Solving Management Problems with Salty Solutions
Getting Your Hands Salty
Design Best Practices
Assessments
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