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FluentD vs CloudWatch Logs: When to Use What

Choosing the right logging pipeline is essential to observability and operational efficiency. In AWS-based stacks, teams often consider FluentD and CloudWatch Logs for centralized log aggregation β€” but they serve different roles and come with tradeoffs.


πŸ†š FluentD Overview

  • Open-source log collector with powerful routing and filtering
  • Supports custom parsing, transformation, and enrichment
  • Can forward logs to S3, Elasticsearch, Datadog, Loki, and more
  • Runs as a daemonset in Kubernetes or as an agent on EC2

πŸ†š CloudWatch Logs Overview

  • Fully managed AWS-native logging service
  • Integrated with AWS services, IAM, and CloudWatch metrics
  • Built-in dashboards, metric filters, and retention policies
  • Easy to connect to Lambda, ECS, and API Gateway

πŸ’‘ When to Use FluentD

  • You need to route logs to multiple backends (S3 + Loki + Datadog)
  • You want full control over log formats and filtering
  • You run self-managed Kubernetes and prefer sidecar/daemonset architecture
  • You are building a vendor-agnostic observability stack

πŸ’‘ When to Use CloudWatch Logs

  • You want simple integration with AWS-native services
  • You need basic logs + metrics + alerting in one place
  • You’re in a serverless or ECS/Fargate environment
  • You want to avoid managing agents or infrastructure

πŸ“Š Cost Considerations

FactorFluentDCloudWatch Logs
Ingestion CostFree, but depends on destination (e.g. S3, Loki)Paid per GB ingested
RetentionConfigurable via destinationPaid per GB/month stored
AlertingRequires additional tooling (e.g., Prometheus, Loki)Built-in via Metric Filters & Alarms
Operational OverheadHigher β€” must deploy and manage FluentDLow β€” fully managed by AWS

πŸ›  Best Practice

Use CloudWatch Logs by default in AWS-native or low-scale environments. Switch to FluentD when you need flexibility, advanced routing, or are managing multicloud workloads.

In many cases, teams run both, CloudWatch for operational visibility, and FluentD to forward logs into a centralized external platform.


Updated on May 8, 2025
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