Perform Sentiment Analysis on X on Arm-based EKS clusters
Introduction
Overview
Monitoring sentiment with Elasticsearch and Kibana
Set up Sentiment Analysis with Amazon EKS
Monitor the cluster with Prometheus and Grafana
Next Steps

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About this Learning Path

Skill level:  Advanced
Reading time:  1 hr
Last updated:  17 Jun 2026
Skill level:
  Advanced
Reading time:
  1 hr
Last updated:
  17 Jun 2026
Authors:Pranay Bakre, Arm
Masoud Koleini
Nobel Chowdary Mandepudi, Arm
Na Li, Arm
Arm IP:Neoverse
Tags: Containers and Virtualization AWS Linux Kubernetes AWS Elastic Kubernetes Service (EKS)
Authors:
  • Pranay Bakre, Arm
  • Masoud Koleini
  • Nobel Chowdary Mandepudi, Arm
  • Na Li, Arm
Arm IP:
Neoverse
Tags:
Containers and Virtualization AWS Linux Kubernetes AWS Elastic Kubernetes Service (EKS)

Who is this for?

This Learning Path is for software developers who want to build an end-to-end ML sentiment analysis solution on an Arm-based Amazon EKS cluster to analyze live posts on X .

What will you learn?

Upon completion of this Learning Path, you will be able to:

  • Deploy a text classification model on Amazon EKS with Apache Spark.
  • Use Elasticsearch and a Kibana dashboard to analyze the posts on X.
  • Deploy Prometheus and Grafana dashboards to monitor CPU and RAM usage of Kubernetes nodes.

Prerequisites

Before starting, you will need the following:

  • An AWS account.
  • A computer with Docker, Terraform, the Amazon eksctl command-line interface, and kubectl installed.
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