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serverless-observability

This repo is a demo project used to highlight what happens when a Serverless System goes wrong for a talk at Melbourne Serverless on April 20, 2023 entitled "Unlocking Serverless Observability".

The slides for the talk are in the slides folder of this repo.

About the project

This project implements a vanilla event-driven architecture pattern as seen here on the Serverless Land website. This architecture link contains a Java implementation, the implementation here is in Python.

There are 3 components to this project:

NotificationFunction - this takes the payload from the API, injects a correlation_id and forwards it to EventBridge as a notify-order event.
DeliveryFunction - This is a simple function that takes the detail of the event, removes the meta-data from the body and sends this to the configured API endpoint. This lambda uses the tenacity library for retries in the code with a wait time between 3 and 8 seconds on any failure from calling the "slow api".
SlowAPI - This is an Api that has been setup to mimic an unstable real-world API and has been setup with the following constraints:
1. 20% of the API Calls will fail immediately.
2. The API will take between 0 and 2 seconds to return a response when it runs successfully.

The SlowApi lambda is triggered by an API Gateway route which has an API Key and usage plan set to restrict the number of transactions through it to 10 transactions per second: BurstLimit = 10, RateLimit = 10. The NotificationHandler is also triggered by an API Gateway that has no API Key and no rate limiting.

There is a configured artillery test file that can be used to run a performance test with the following characteristics:

For 1 minute test will hit the Notification API at approx. 2 transactions per second
For the next 2 minutes transactions will ramp up to 5 transactions per second
For the next 10 minutes transactions will ramp from 4 per second to 15 per second and then remain at this level which is a level that exceeds the SlowAPI transaction limit.

Project Branches

The project has 3 branches as follows:

main - This is the same as the no-flow-control branch.
no-flow-control - This is the architecture with No Flow Control built in. It is an uncontrolled scale flowing into a limited-scale API to highlight what happens when scalability boundary clashes occur.
flow-control - Same architecture but has an SQS Queue introduced between EventBridge and the Delivery Lambda with an Event Source Mapping configuration to limit the scale of the Delivery Lambda to a maximum concurrency of 10. The Lambda receives individual messages from the SQS Queue.

Project Dependencies

This project uses the following open-source tools and requires them to be installed and working in your environment:

Python 3.9+ (including pip)
SAM Cli
aws-cli v2.0
node and npm

All actions for this repo are controlled by the Makefile which contains the following commands:

dev - Sets up the development environment by installing poetry, pip and pre-commit.
format - run python formatting tools (isort and black)
lint - run python flake8 linting tool
build - run sam build
guided - run sam deploy --guided (required for initial install)
deploy run sam deploy to deploy to AWS
deps - runs script to generate requirements.txt for each service (required by sam deploy python packaging).
clean - removes all generated folders and files

Project Layout

Services

Each sub-folder represents one of the Serverless Services in the SAM template. Each service folder name matches one of the poetry dependency groups which will export the specific service dependencies to requirements.txt (see scripts/make-deps.sh for details about this process). This configuration and use of poetry dependency groups enables efficient packaging of Python lambdas ensuring only the exact requirements are used for each lamdba function which will keep the installations lean.

First Time Install

make dev
make guided (refer to sam deploy --guided documentation of help).
npm install
Once installed manual configuration in SSM Parameter Store and Secrets manager is required
- Open the API gateway console
- Select the second sls-observe API and ensure it contains the /slow route (if it doesn't go select the other one)
- Click stages in the left side menu and Prod under stages.
- Copy the Invoke URL
- Got to Systems Manager Console and go to Parameter Store
- Click on /sls-observe/delivery/endpoint and edit
- Copy Invoke URL and save
- Go back to API gateway console API Keys
- Click API key starting with sls-ob-TheAp
- Click Show
- copy the API Key value
- Go to Secrets Manager
- Click on /sls-observe/delivery/api-key
- Scroll down and press Retrieve Secret Value
- Click Edit
- Paste in the API Key
- configuration is now complete.

Subsequent Installs

make deploy

Project Features

This project includes a package.json file that will install artillery as a dev dependency. Artillery is used to run the performance tests over approx. 18 minutes to drive too much traffic into the service for it to fail as demonstrated in the talk at Melbourne Serverless (slide 18).

Once the stack is deployed and the initial manual configuration is completed the performance test can be executed using npx artillery run notify-perf-test.yml.

AWS BILL WARNING

The performance test will run over 18 minutes and may cause your AWS account to accrue charges, this is unlikely but please be aware running performance tests with AWS Lambda may cost $$$.

walmsles/serverless-observability

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