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AWS Labs
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Query and Export AWS CloudWatch Metrics for Long Term Storage and Analysis

In this lab, you’ll practice using CloudWatch to gain a deeper understanding of your AWS services. When you’re finished with this lab, you’ll have several strategies for examining and interpreting the behavior of your resources and applications.

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Labs - Query and Export AWS CloudWatch Metrics for Long Term Storage and Analysis

Lab info

Rating (56)
Level
Beginner
Duration
1h 20m
Released
Jul 18, 2022

Lab author

Lab Author: Ara Medina
Ara Medina
Ara is a software engineer and consultant based in Seattle, Washington. Their background is in philosophy and they are primarily self-taught, getting their start in programming through community workshops and online courses. They are a co-founder at Stormlight Consulting, where they work with clients to help them build out their cloud computing dreams. Prior to that, they were a developer within Microsoft Azure, working on performance and crash management tools. They are experienced at working o... moren services that demand high availability, strict data privacy measures, and distributed networks at large scales. These days, they are also studying and creating content for other learners in the field of quantum computing. Ara is passionate about leveraging their unique background to empathetically communicate with audiences of a variety of skill levels, specifically when it comes to breaking down intimidating technical concepts for others in an intuitive, relatable way.
  • Table of contents
  • What's a lab?
  • Prerequisites
Challenge

Create Lambda Functions to Monitor

Set up two Lambda functions that will output logs and metrics to CloudWatch. The first function will be for downloading text-based files, and the second function will be for downloading image-based files.

Challenge

Aggregate Metrics Produced by Triggering Lambda Functions

Trigger the two Lambda functions you created in the previous challenge repeatedly, sending data to CloudWatch as a result. Use the CloudWatch console to see an aggregated view of the metrics sent in across these functions.

Challenge

Uncover Linear Progression and Anomaly Patterns in Metrics

Further utilize the graphing capabilities in the CloudWatch console to look at the duration values for each function separately now, and begin to deduce informative patterns based on these observations.

Challenge

Use CloudWatch Logs Insights to Track Down Potential Issues

Query, view, and analyze the logs sent to CloudWatch by your Lambda functions as a way to gain more information about the patterns you observed from the metrics in the previous challenge.

Challenge

Filter Logs Using Insights Query Language to Correlate Data across Dimensions

Build upon your knowledge of CloudWatch Logs Insights query language to use scoping and filtering to dig in and determine the potential root cause of why your image file download function is occasionally spiking and acting erratically.

Challenge

Exporting CloudWatch Logs to S3 For Further Future Analysis

Start exporting the logs for your Lambda functions to S3 in order to later be able to do more extensive analysis and querying on them, as well as save money over time with less expensive storage.

Challenge

Modify CloudWatch Log Group Retention Policies for Cost Optimization

Reduce the retention duration for the log groups associated with your Lambda functions in order to save on storage costs over time.

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Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

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Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

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Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Recommended prerequisites

  • Linux CLI and Python familiarity

Start learning by doing today

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