Building and scaling a log analytics platform - a serverless approach
summary
Claims a production grade serverless logging stack built on AWS that replaces Kafka/ELK with Kinesis + Lambda pipeline feeding both S3 + Athena + QuickSight for batch and real-time SQL on streams for live analytics. Demonstrates a working demo: producers push JSON into Kinesis, Lambda transforms, Kinesis Firehose writes to s3, Athena creates tables, QuickSight visualizes and CloudWatch alerts. Notes autoscaling and cost tradeoffs, occasional latency caveats, and that the prototype runs end to end in minutes.
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chapters (13)
- 0:00Start
- 0:43A BIT ABOUT ME...
- 1:53OUR DISTRIBUTED MICROSERVICES
- 2:24ARCHITECTING A LOGGING FRAMEWORK
- 2:37BEHAVIOURS OF DIFFERENT MICROSERVICES
- 3:25EXPECTATIONS FROM ANY LOG FRAMEWORK
- 4:39THE CONVENTIONAL ARCHITECTURE
- 7:35WHATS THE COMMON THING THAT ALL THE COMPONENTS HAVE!
- 8:09GOING SERVERLESS
- 9:55AWS SERVERLESS
- 10:18FAAS ARCHITECTURE
- 13:00MANAGING THE SERVERLESS MODEL
- 13:41DEMO
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