How to Build, Train and Deploy Your Own Recommender System – Part 2
In this article, JO Reyes demonstrates how to build a recommender system from the ground up and deploy it to serverless AWS.
In this article, JO Reyes demonstrates how to build a recommender system from the ground up and deploy it to serverless AWS.
Glue Schema Registry provides a centralized repository for managing and validating schemas for topic message data and it can be utilized by many AWS services when building streaming apps. In this series, we discuss how to integrate Python Kafka producer and consumer apps In AWS Lambda with the Glue Schema Registry. In part 2, Kafka apps are deployed and their behaviour is discussed.
Glue Schema Registry provides a centralized repository for managing and validating schemas for topic message data and it can be utilized by many AWS services when building streaming apps. In this series, we discuss how to integrate Python Kafka producer and consumer apps In AWS Lambda with the Glue Schema Registry. In part 1, I illustrate the infrastructure and Kafka apps.
Streaming ingestion from Kafka (MSK) into Redshift and Athena can be much simpler as they now support direct integration. In part 2, we discuss an end-to-end streaming ingestion solution using EventBridge, Lambda, MSK and Athena. We also use AWS SAM integrated with Terraform for developing a Lambda function locally.
Learn more about AWS Lambda event filtering and why it is important, including steps to set it up and the opportunity for cost optimisation.
Streaming ingestion from Kafka (MSK) into Redshift and Athena can be much simpler as they now support direct integration. In part 1 of the simplify streaming ingestion on AWS series, we discuss an end-to-end streaming ingestion solution using EventBridge, Lambda, MSK and Redshift. We also use AWS SAM integrated with Terraform for developing a Lambda function locally.
We’ll discuss limitations of the Lambda invoke function operator of Apache Airflow and create a custom Lambda operator. The custom operator extends the existing one and it reports the invocation result of a function correctly and records the exact error message from failure.
We’ll discuss how to build a serverless data processing application using the Serverless Application Model (SAM). A Lambda function is developed, which is triggered whenever an object is created in a S3 bucket. 3rd party packages are necessary for data processing and they are made available by Lambda layers.
Apigee Edge is an easy-to-use but powerful API administration platform with capabilities including analytics and operational automation, as well
Triggering a Lambda function by an EventBridge Events rule can be used as a serverless replacement of cron job. The highest frequency of it is one invocation per minute so that it cannot be used directly if you need to schedule a Lambda function more frequently. In this post, I’ll demonstrate another serverless solution of scheduling a Lambda function at a sub-minute frequency using Amazon SQS.
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