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Building a Cost-Effective ELK Stack for Centralized Logging
- Implementing ELK (Elasticsearch, Logstash, Kibana) stack on cloud platforms like GCP using Terraform and Ansible offers cost-effective centralized logging solutions.
- ELK stack components include Elasticsearch for storing and indexing data, Logstash for filtering logs, and Kibana for visualization.
- The infrastructure setup involves master nodes, data nodes, Kibana nodes, and Logstash nodes for scalability and fault tolerance.
- Terraform is used to create the infrastructure with files like create_elk_instances.tf and variables.tf, allowing easy provisioning of VM instances.
- Permissions are assigned to service accounts, and GCP buckets are created for certificates and backups.
- Ansible is then used to configure ELK stack components like Elasticsearch, Kibana, and Logstash on Debian, automating the installation and setup process.
- Configuration files for Ansible like elasticsearch_master.j2, elasticsearch_node.j2, kibana.j2, and logstash.j2 are provided to define settings for each node type.
- Filebeat configuration is also included for shipping logs directly from applications and setting up index patterns for data organization.
- By using ELK stack with Terraform and Ansible automation, companies can achieve centralized logging efficiently, reducing licensing costs and ensuring scalability.
- The setup allows for easy monitoring, log visualization, and alerting using Kibana's user-friendly interface, enhancing operational efficiency.
- The article concludes with a note on cost-effectiveness, ease of scaling, and the benefits of leveraging open-source ELK stack for effective centralized logging.
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