# Training workshops, labs, and solution implementations
The following end-to-end examples demonstrate advanced Managed Service for Apache Flink solutions.
**Topics**
+ [Deploy, operate, and scale applications with Amazon Managed Service for Apache Flink](#examples-MSF-workshop)
+ [Develop Apache Flink applications locally before deploying to Managed Service for Apache Flink](#examples-getting-started-locally-flink)
+ [Use event detection with Managed Service for Apache Flink Studio](#examples-event-detection-with-kda)
+ [Use the Amazon Streaming data solution for Amazon Kinesis](#examples-streaming-solution)
+ [Practice using a Clickstream lab with Apache Flink and Apache Kafka](#examples-clickstream)
+ [Set up custom scaling using Application Auto Scaling](#examples-autoscaling)
+ [View a sample Amazon CloudWatch dashboard](#examples-cwdash)
+ [Use templates for Amazon Streaming data solution for Amazon MSK](#examples-ssmsk)
+ [Explore more Managed Service for Apache Flink solutions on GitHub](#examples-solutions-github)
## Deploy, operate, and scale applications with Amazon Managed Service for Apache Flink
This workshop covers the development an Apache Flink application in Java, how to run and debug in your IDE, and how to package, deploy and run on Amazon Managed Service for Apache Flink. You will also learn how to scale, monitor, and troubleshoot your application.
[Amazon Managed Service for Apache Flink workshop](https://catalog.workshops.aws/managed-flink/en-US).
## Develop Apache Flink applications locally before deploying to Managed Service for Apache Flink
This workshop demonstrates the basics of getting up and started developing Apache Flink applications locally with the long-term goal of deploying to Managed Service for Apache Flink for Apache Flink.
[Starters Guide to Local Development with Apache Flink](https://catalog.us-east-1.prod.workshops.aws/workshops/429cec9e-3222-4943-82f7-1f45c45ed99a/en-US)
## Use event detection with Managed Service for Apache Flink Studio
This workshop describes event detection with Managed Service for Apache Flink Studio and deploying it as a Managed Service for Apache Flink application
[Event Detection with Managed Service for Apache Flink for Apache Flink](https://catalog.us-east-1.prod.workshops.aws/workshops/2b03e299-c30f-4144-b452-483356cc5267/en-US)
## Use the Amazon Streaming data solution for Amazon Kinesis
The Amazon Streaming Data Solution for Amazon Kinesis automatically configures the Amazon services necessary to capture, store, process, and deliver streaming data. The solution provides multiple options for solving streaming data use cases. The Managed Service for Apache Flink option provides an end-to-end streaming ETL example demonstrating a real-world application that runs analytical operations on simulated New York taxi data.
Each solution includes the following components:
+ An Amazon CloudFormation package to deploy the complete example.
+ A CloudWatch dashboard for displaying application metrics.
+ CloudWatch alarms on the most relevant application metrics.
+ All necessary IAM roles and policies.
[ Streaming Data Solution for Amazon Kinesis](https://aws.amazon.com/solutions/implementations/aws-streaming-data-solution-for-amazon-kinesis/)
## Practice using a Clickstream lab with Apache Flink and Apache Kafka
An end to end lab for clickstream use cases using Amazon Managed Streaming for Apache Kafka for streaming storage and Managed Service for Apache Flink for Apache Flink applications for stream processing.
[Clickstream Lab](https://amazonmsk-labs.workshop.aws/en/mskkdaflinklab.html)
## Set up custom scaling using Application Auto Scaling
Two samples that show you how to automatically scale your Managed Service for Apache Flink applications using Application Auto Scaling. This lets you set up custom scaling policies and custom scaling attributes.
+ [Managed Service for Apache Flink App Autoscaling](https://github.com/aws-samples/amazon-managed-service-for-apache-flink-examples/tree/main/infrastructure/AutoScaling)
+ [Scheduled Scaling](https://github.com/aws-samples/amazon-managed-service-for-apache-flink-examples/tree/main/infrastructure/ScheduledScaling)
For more information on you can perform custom scaling, see [Enable metric-based and scheduled scaling for Amazon Managed Service for Apache Flink](https://aws.amazon.com/blogs/big-data/enable-metric-based-and-scheduled-scaling-for-amazon-managed-service-for-apache-flink/).
## View a sample Amazon CloudWatch dashboard
A sample CloudWatch dashboard for monitoring Managed Service for Apache Flink applications. The sample dashboard also includes a [demo application](https://github.com/aws-samples/kda-metrics-dashboard/tree/main/demo-apps) to help with demonstrating the functionality of the dashboard.
[Managed Service for Apache Flink Metrics Dashboard](https://github.com/aws-samples/kda-metrics-dashboard)
## Use templates for Amazon Streaming data solution for Amazon MSK
The Amazon Streaming Data Solution for Amazon MSK provides Amazon CloudFormation templates where data flows through producers, streaming storage, consumers, and destinations.
[Amazon Streaming Data Solution for Amazon MSK](https://aws.amazon.com/solutions/implementations/aws-streaming-data-solution-for-amazon-msk/)
## Explore more Managed Service for Apache Flink solutions on GitHub
The following end-to-end examples demonstrate advanced Managed Service for Apache Flink solutions and are available on GitHub:
+ [Amazon Managed Service for Apache Flink Flink – Benchmarking Utility](https://github.com/aws-samples/amazon-kinesis-data-analytics-flink-benchmarking-utility)
+ [Snapshot Manager – Amazon Managed Service for Apache Flink for Apache Flink](https://github.com/aws-samples/amazon-kinesis-data-analytics-snapshot-manager-for-flink)
+ [Streaming ETL with Apache Flink and Amazon Managed Service for Apache Flink](https://github.com/aws-samples/amazon-kinesisanalytics-MyApplicatiostreaming-etl)
+ [Real-time sentiment analysis on customer feedback](https://github.com/aws-samples/real-time-sentiment-flinksql-kdastudio)