ELK Stack Setup on AWS Cloud


Setting up the ELK (Elasticsearch, Logstash, Kibana) stack on AWS can be a powerful way to centralize and analyze log data from your applications and infrastructure. Here are step-by-step instructions to help you get started. Please note that the specific AWS services mentioned might have evolved or changed since my last knowledge update in September 2021, so always refer to the latest AWS documentation for the most accurate information.


Prerequisites:

  • An AWS account.
  • Basic knowledge of AWS services like EC2, VPC, and Security Groups.


Step 1: Launch Elasticsearch on AWS

  • Go to the AWS Management Console.
  • Navigate to the EC2 service.
  • Launch an EC2 instance using the Amazon Machine Image (AMI) for Elasticsearch.
  • Configure instance settings, such as instance type, VPC, and subnet.
  • Set up security groups to allow traffic to Elasticsearch (port 9200 and 9300).
  • Launch the instance and note its public DNS or IP address.


Step 2: Install and Configure Elasticsearch


Step 3: Launch Logstash on AWS

  • Repeat the steps from Step 1, but this time launch an EC2 instance for Logstash.
  • Configure security groups to allow traffic to Logstash (port 5044 by default).


Step 4: Install and Configure Logstash


Step 5: Launch Kibana on AWS

  • Repeat the steps from Step 1, but this time launch an EC2 instance for Kibana.
  • Configure security groups to allow traffic to Kibana (port 5601 by default).


Step 6: Install and Configure Kibana

  • SSH into the Kibana EC2 instance.
  • Install Kibana on the EC2 instance. Refer to the Kibana documentation for the installation instructions: https://www.elastic.co/guide/en/kibana/current/install.html
  • Configure Kibana to connect to your Elasticsearch cluster by editing the kibana.yml configuration file.


Step 7: Access Kibana

  • Open a web browser and navigate to the public DNS or IP address of your Kibana instance (e.g., http://your-kibana-ip:5601).
  • You should now be able to access the Kibana web interface and set up visualizations, dashboards, and explore your log data.


Step 8: Sending Logs to Logstash

  • Configure your applications or servers to send logs to Logstash. This can involve installing lightweight forwarders like Filebeat on your servers to collect and forward logs to Logstash.


Step 9: Visualize and Analyze Logs

  • In Kibana, create visualisations and dashboards to analyse and visualise your log data.



Remember to regularly monitor your ELK stack and configure proper backup and security measures. AWS also offers managed Elasticsearch and Kibana services (Amazon Elasticsearch Service and Amazon Managed Grafana) that can simplify some aspects of this setup. Always refer to the latest AWS and Elastic documentation for the most up-to-date instructions and best practices.


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