- Lab
- A Cloud Guru
Using ElastiCache to Improve DynamoDB Performance
In this lab, we are presented with a site that is struggling under load because the backing DynamoDB table has had its read and write provisioning drastically reduced to avoid incurring significant cost. To correct this, we will provision an ElastiCache cluster and modify the Lambda functions in the site architecture to implement a simple caching scheme that returns the site to a functional state.
Path Info
Table of Contents
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Challenge
Launch an ElastiCache Cluster
- Navigate to ElastiCache.
- Click Get Started Now.
- Set the Cluster Engine to Memcached.
- Provide a name for the cluster (e.g., tatourneycache).
- Set the Cluster Node to t2.small.
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Challenge
Modify the getTaStats Lambda Function
- Navigate to Lambda.
- Select the function with GetTaStats in the name.
- Using the GitHub repo code, modify the function in
editme.pyto implement read-through data caching.
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Challenge
Modify the taStreamProcessor Lambda Function
- Navigate to Lambda.
- Select the function with taStreamProcessor in the name.
- Using GitHub repo code, modify the function in
editme.pyto implement cache invalidation when records in the TaTourneyStats table are updated.
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
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We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.
