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Vector: A lightweight tool for collecting EKS application logs with long-term storage capabilities
- Vector is a high-performance observability data pipeline tool by Datadog for collecting, transforming, and routing logs, metrics, and traces to various vendors.
- An architecture is presented to collect application logs from Amazon EKS via Vector, store them in Amazon S3 for long-term retention, and query them using AWS Glue and Amazon Athena.
- Steps include creating an S3 bucket, IAM policy for Vector Agent, EKS cluster, deploying a log generator application, and deploying Vector Agent to interact with EKS cluster logs.
- Vector's Helm Chart values.yaml file is customized for Kubernetes logs source, transforms using VRL, and sinks to AWS S3 destination.
- Logs are crawled from S3 to AWS Glue for creating database tables, followed by querying logs via Amazon Athena with a provided SQL statement.
- Cleanup involves using eksctl to delete the EKS cluster stack after completion of tasks.
- The demonstration showcases using Vector for collecting logs on EKS, storing and analyzing logs with AWS services, and highlights the capabilities of AWS Glue and Amazon Athena.
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