Step 1: Log Collection (FluentBit and CloudWatch)
Option Asuggests using FluentBit to collect logs and OpenTelemetry to collect traces.
FluentBitis a lightweight log processor that integrates withAmazon EKSto collect and forward logs from Kubernetes clusters. It is widely used with minimal overhead, making it an ideal choice for log collection in this scenario. FluentBit is also natively compatible with AWS services.
OpenTelemetryis a popular framework to collect traces from distributed applications. It provides observability, making it easier to monitor microservices.
This combination allows you to effectively gather both logs and traces with minimal setup and configuration, aligning with the goal of least development effort.
CloudWatchcan be used to monitor logs (Option B and C). However, for applications that need more custom and fine-grained control over logging mechanisms, FluentBit and OpenTelemetry are the preferred choice in microservice environments.
Step 2: Log and Trace Correlation (Amazon OpenSearch)
Option D(Amazon OpenSearch) is specifically designed to search, analyze, and visualize logs, metrics, and traces in real-time. OpenSearch allows you tocorrelate logs and traceseffectively.
WithAmazon OpenSearch, you can set up dashboards that help in visualizing both logs and traces together, which assists in identifying any failure points across the entire request flow.
It offers integrations withFluentBitandOpenTelemetry, ensuring that both logs from the EKS cluster and application traces are centrally collected, stored, and correlated without additional heavy development.
Step 3: Why Other Options Are Not Suitable
Option B (Amazon Kinesis)is designed for real-time data streaming and analytics but is not as well-suited for tracing microservice requests and logs correlation compared to OpenSearch.
Option C (Amazon MSK)provides a managed Kafka streaming service, but this adds complexity when trying to integrate and correlate logs and traces from a microservice environment. Setting up Kafka requires more development effort compared to using FluentBit and OpenTelemetry.
Option E (AWS Glue)is primarily an ETL (Extract, Transform, Load) service. While Glue is powerful for data processing, it is not a native tool for log and trace correlation, and using it would add unnecessary complexity for this use case.
Conclusion:
To meet the requirements with the least development effort:
UseFluentBitfor log collection andOpenTelemetryfor tracing (Option A).
Correlate logs and traces usingAmazon OpenSearch(Option D).
This approach leverages AWS-native services designed for seamless integration with microservices hosted on Amazon EKS and ensures effective monitoring with minimal overhead.
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