Struggling to derive real-time insights from your data? Learn how to build a serverless analytics pipeline on AWS to gain actionable insights like determining your most effective ads – without managing any infrastructure!
Join Zaiba as she covers:
✅ Common challenges with real-time data analysis
✅ Serverless architecture using AWS services like MSK Serverless, Kinesis Data Analytics, and OpenSearch Serverless
✅ Benefits of going serverless – no infrastructure management, auto-scaling, and pay-per-use
✅ Key considerations: avoiding emulators, accelerating dev loops, MSK Serverless configs
✅ Choosing the right services based on your throughput needs
✅ Monitoring with CloudWatch alarms
Whether you’re an e-commerce business, IoT company, or any data-driven org, this pattern eliminates heavy lifting so you can focus on extracting value from your real-time data streams.
Ready to unlock powerful insights without the ops burden? Let’s dive in! 👇
Additional Resources:
AWS Serverless Services: https://aws.amazon.com/serverless/
Amazon MSK: https://aws.amazon.com/msk/what-is-kafka/
Amazon MSK Serverless: https://docs.aws.amazon.com/msk/latest/developerguide/getting-started.html
Building a Serverless Apache Kafka Data Pipeline workshop: https://catalog.workshops.aws/building-a-serverless-kafka-data-pipeline/en-US
Build serverless data pipeline: https://aws.amazon.com/blogs/big-data/aws-serverless-data-analytics-pipeline-reference-architecture/
Testing serverless applications on AWS: https://docs.aws.amazon.com/prescriptive-guidance/latest/serverless-application-testing/introduction.html
Configuration for serverless clusters: https://docs.aws.amazon.com/msk/latest/developerguide/serverless-config.html
Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN
#AWS #AmazonWebServices #CloudComputing #BackToBasics #DataAnalytics #AmazonMSK
