EC2 offers different types of instances to meet different requirements. A typical starting point for Elasticsearch is to consider the m5d.large or m5d.2xlarge instance; they have has 4 CPU cores and 8 CPU cores with 16 and 32 GB RAM respectively, and SSD storage. It is always good to benchmark on your data and monitor the resource usage on your nodes. You can upgrade or downgrade the nodes as per your findings.
Choosing instance type
by Sharath Kumar M N, Pranav Shukla
Learning Elastic Stack 7.0 - Second Edition
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: Introduction to Elastic Stack and Elasticsearch
- Introducing Elastic Stack
- Getting Started with Elasticsearch
- Section 2: Analytics and Visualizing Data
- Searching - What is Relevant
- Analytics with Elasticsearch
- The basics of aggregations
- Preparing data for analysis
- Metric aggregations
- Bucket aggregations
- Pipeline aggregations
- Summary
- Analyzing Log Data
- Building Data Pipelines with Logstash
- Visualizing Data with Kibana
- Section 3: Elastic Stack Extensions
- Elastic X-Pack
- Section 4: Production and Server Infrastructure
- Running Elastic Stack in Production
- Hosting Elastic Stack on a managed cloud
- Hosting Elastic Stack on your own
- Backing up and restoring
- Setting up index aliases
- Setting up index templates
- Modeling time series data
- Summary
- Building a Sensor Data Analytics Application
- Introduction to the application
- Modeling data in Elasticsearch
- Setting up the metadata database
- Building the Logstash data pipeline
- Sending data to Logstash over HTTP
- Visualizing the data in Kibana
- Summary
- Monitoring Server Infrastructure
- Other Books You May Enjoy
Choosing instance type
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.