AWS for Fluent Bit 2.31.10

2.31.10

This release includes:

• Fluent Bit 1.9.10
• Amazon CloudWatch Logs for Fluent Bit 1.9.3
• Amazon Kinesis Streams for Fluent Bit 1.10.2
• Amazon Kinesis Firehose for Fluent Bit 1.7.2

Compared to 2.31.9 this release adds:

• Bug - Fix crash that occurs with tail plugin and debug logging enabled aws-for-fluent-bit:637 aws-for-fluent-bit:639
• Bug - Fix init tag parsing of ECS Cluster name. ECS Cluster name can be returned as ARN or name, now init will always parse it and set the ECS_CLUSTER env var as just the name. aws-for-fluent-bit:641

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We’ve run the new released image in our ECS load testing framework and here is the result. This testing result provides benchmarks of aws-for-fluent-bit under different input load. Learn more about the load test.

plugin	source		20 MB/s	25 MB/s	30 MB/s
kinesis_firehose	stdstream	Log Loss	✅	✅	✅
		Log Duplication	✅	0%(5500)	✅
kinesis_firehose	tcp	Log Loss	✅	✅	0%(17906)
		Log Duplication	✅	✅	0%(33500)
kinesis_streams	stdstream	Log Loss	✅	✅	0%(4735)
		Log Duplication	✅	0%(5640)	0%(71809)
kinesis_streams	tcp	Log Loss	✅	✅	✅
		Log Duplication	✅	✅	0%(26632)
s3	stdstream	Log Loss	✅	✅	✅
		Log Duplication	✅	✅	✅
s3	tcp	Log Loss	✅	✅	✅
		Log Duplication	✅	✅	✅

plugin	source		1 MB/s	2 MB/s	3 MB/s
cloudwatch_logs	stdstream	Log Loss	✅	✅	19%(346317)
		Log Duplication	✅	✅	✅
cloudwatch_logs	tcp	Log Loss	✅	✅	✅
		Log Duplication	✅	✅	✅

Note:

• The green check ✅ in the table means no log loss or no log duplication.
• Number in parentheses means the number of records out of total records. For example, 0%(1064/1.8M) under 30Mb/s throughput means 1064 duplicate records out of 18M input records by which log duplication percentage is 0%.
• Log loss is the percentage of data lost and log duplication is the percentage of duplicate logs received at the destination. Your results may differ because they can be influenced by many factors like different configs and environment settings. Log duplication is exclusively caused by partially succeeded batches that were retried, which means it is random.