Deploying a Django project on AWS Lambda using Serverless (Part 2) - Prepare AWS infrastructure for deploying a Django project. Who don't have enough experience with AWS resources. AWS resources to deploy a Django project on AWS Lambda using Serverless.
After my previous blog post Deploy Django App on AWS Lambda using Serverless (Part 1), people started asking me about AWS infrastructure for Django projects, so I decided to share my experience with this.
It is not obvious (for people who don't have enough experience with AWS resources) how to create and configure all the necessary AWS resources to deploy a Django project on AWS Lambda using Serverless.
Here are a list of ways of how to do this:
In this blog post, I will show you how to do it manually via AWS console.
Step 1: Create your own AWS account (if you don't have one). Here is a link to a manual for creating and activating an AWS account.
Businesses need to understand serverless application with major pros and cons of serverless architecture, before deciding about serverless computing.
Bypass the complex middleware and consider a lightweight node.js implementation to deploy serverless functions from your mainframe CICS applications.
Happy Serverless September 2020! We at Coding Sans love working with serverless technology. This is why we decided to publish a report with the latest serverless trends this year. We partnered up with nine other companies who share our love to make it happen.
In this post, I will go through the process of predicting key performance characteristics and the cost of scale-per-request serverless platforms (like AWS Lambda, IBM Cloud Functions, Azure Functions, and Google Cloud Functions) with different workload intensities (in terms of requests per second) using a performance model.
Serverless computing promises greater scalability, faster development, more efficient deployment, and lower cost.