Amazon Web Services (AWS) Posts - Page 10

Automating deployments of your web applications brings many benefits, especially when you run them on AWS. You standardize the process, prevent human errors, and can integrate with other AWS services like EC2 Autoscaling and Elastic Load Balancing. Today I will talk about how to automate your Ruby on Rails deployments using AWS CodeDeploy.

Continue reading the Automating Ruby on Rails Deployments with AWS CodeDeploy blog post.

In recent days, I made some trials for connecting to MongoDB databases from AWS Lambda functions using Python. In today’s post I will share my experiences with you and take some notes about these trials for future reference. We will install MongoDB on an EC2 instance and develop simple Python functions to access it. Let’s start!

Continue reading the Accessing a MongoDB instance from AWS Lambda using Python blog post.

In some cases, you may need to transfer your objects in one of your Amazon S3 buckets to a different AWS account. AWS CLI provides high-level commands on S3 to move objects between two buckets. By also using Amazon S3 bucket policies, you can perform this even if the destination bucket is in another AWS account. Today, I will talk about the steps you need to do along with a few explanation on bucket and object level permissions.

Continue reading the Copying S3 Bucket Objects to Another AWS Account blog post.

Did you know that you can send SMS messages easily with Amazon SNS without subscribing any phone numbers to a topic? Let’s say that you have verified phone numbers and you would like to send text messages to them assuming that they opted in for this. Besides, you would like to pay only when you send. You can use Amazon SNS SDK for Python and automate this process using AWS Lambda.

Continue reading the Sending SMS Messages with Amazon SNS, AWS Lambda and Python blog post.

If you recall, in a previous blog post I discussed AWS Step Functions as a great service for orchestrating your AWS Lambda functions by giving an example. Today, I will show you how you can integrate your API Gateway resource methods with your AWS Step Functions state machines so that you can trigger your state machines with API calls.

Actually the benefits are obvious. Instead of serving our Lambda functions as separate endpoints and orchestrating which one to call and when in our front end; we can use a single endpoint and pass all logic to the back end. Then our back end, in this case our state machine, will execute the functions in sequential or parallel. This method especially suits well to cases when all these function calls are necessary to complete a single business action.

Continue reading the Triggering AWS Step Functions by AWS API Gateway Calls blog post.