Let’s get started by understanding the setup and functionality of the individual components deployed during the setup. We also showcase the use of Kibana for data visualization and wrap up with a tutorial of the CloudFormation templates used here. The setup scales seamlessly and provides a platform for aggregating logs from EC2 instances hosted in a multi account landscape. Logstash accepts data from a variety of sources and transforms it to meet application specific needs by using any one of many supported plugins.īy using AWS PrivateLink, we secure access to the Logstash fleet from other VPCs, as well as other AWS accounts. An Autoscaling group is used to provision instances across multiple Availability Zones making logging platform highly available and scalable. This blog post describes an alternative approach – ingesting logs to Amazon Elasticsearch using a fleet of Logstash instances behind a Network Load Balancer (NLB). Having such operational visibility enables you to understand your environment better and build secure systems.įrom ELK Stack to EKK presents a solution for ingesting logs from Amazon EC2 instances to Amazon Elasticsearch Service using Amazon Kinesis Data Firehose. A common approach to resolve this problem is building a centralized logging platform that collects and aggregates different types of logs in one central location. Debugging errors or investigating a security incident in your application across hundreds of log files on hundreds of servers is time consuming and complicated. Running enterprise applications and workloads requires visibility and insight. September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service.
0 Comments
Leave a Reply. |