Npm install serverless g movie#
Npm install serverless g code#

To import the dataset, open a terminal and run the following command: > export REDISCLI_AUTH=

FT.CREATE to create a RediSearch index.

The file aws-redis-cloud-demo/movies-list-microservice/import_movies.redis contains all the Redis commands to insert movies into the database.

Step 3: Import the movie-database dataset into your application ├── serverless.yml => Lambda & Service configuration

Npm install serverless g movie#

└── movies-list-microservice => The Node.js, movie service

Npm install serverless g code#

│ ├── chalicelib => Contains application code and lib │ │ └── config.json => Lambda & Service configuration ├── movie-comments-microservice => The Python, comments service env.production => to set the Lambda URLs in production mode env.development => to set the Lambda URLs in dev mode The project directory structure is shown here: aws-redis-cloud-demo

REDIS_HOST: .Ĭlone the repository to your local environment, and move it to the project directory > git clone.

You will need the following properties to connect the Lambda functions to your Redis database: Redis Enterprise Cloud database information for our sample movie-database application. When you are connected to the Redis Enterprise Cloud, you can find the database connection information in the web console be sure you add the module “RediSearch 2” to the database. If you have not yet created a database on Redis Enterprise Cloud, please do so using the information in our Get Started with Redis Modules guide. Step 1: Get the Redis Enterprise Cloud database information Once you have everything assembled, let’s walk through the process of installing and running the sample application.

A Redis Enterprise Cloud account and database, with the RediSearch module enabled.

An AWS account setup, credentials, with the CLI Installed.

To get started, you’ll need a few prerequisites:

Install and run the demonstration application In addition, the Python service uses AWS Key Management Service to store and encrypt the Redis database password. Search movies using full-text search and faceted searchĪ demo of the sample movie-database application using AWS Lambda functions.Īs mentioned above, the application leverages the AWS API Gateway, AWS Lambda, and Redis Enterprise Cloud for the datastore.As shown in the chart below, the frontend is built using Vue.js, which calls REST endpoints to: The application uses the dataset that has been documented in the RediSearch Getting Started tutorial, which consists of a movie catalog, made of Redis Hashes. Now we’re ready to look at our sample movie-database application to see the key steps to build an application using Redis Enterprise Cloud and AWS Lambda. Redis Enterprise Cloud provides a fully managed service on AWS (Google Cloud and Microsoft Azure are also supported). For simple state management, AWS developers often use ElastiCache, but many applications require more than state management, they also need persistence, rich data, high performance, and a query model. In many applications, though, you still want to share state between services or calls, and Redis can help. State and data management in serverless applicationsĪWS Lambda is a stateless environment. (We’ll discuss this further in the next section covering our sample movie-database application.) Specifically, requests via HTTP are routed to AWS’ API Gateway management tool, which parses the body, header, and parameters, and then triggers our Lambda function with this payload:Įxposing a AWS Lambda function in the API Gateway.Īs a developer, you simply write code to expose the REST endpoint and configure the deployment to expose it inside the AWS API Gateway. (You can find more about AWS Lambda function invocation in the documentation.) In our sample movie-database application, the Lambda functions will be invoked using an HTTP REST endpoint, this is done using the AWS API Gateway. Perhaps the best part of AWS Lambda is that developers don’t usually need to fully understand the application lifecycle to use it.ĪWS Lambda can be invoked using several different methods: directly from the AWS Console, using events from other AWS Services such as SNS, SQS, or Kinesis, or even from the AWS Console, CloudWatch, or S3 events. AWS Lambda functions, fully managed by AWS, can be created using various programming languages. (Lambda experts can jump ahead to the next section.) AWS Lambda allows applications to run a function on demand in response to a particular event, making it a good way to build event-driven architecture (EDA) applications. If you’re not already familiar with AWS Lambda-the company’s serverless compute runtime, also known as a Function-as-a-Service ( FaaS)-here are the basics you need to know.

Npm install serverless -g