In today’s article we are moving on from our recent series on CloudFormation (at least for the moment) and taking a look at AWS CodePipeline. CodePipeline is an AWS managed service focused on providing a continuous delivery mechanism to help automate your releases and deployments into your AWS environment.
In this article will will leverage the Amplify Console to configure a CI/CD pipeline that will be responsible for deploying our application. Having a Pipeline in place will greatly reduce the time it takes to get changes into our hosting environment.
In today’s article we’re going to take it a step further and see how we can better define our input parameters. We’ll also dive into the ideas behind splitting our workloads into multiple templates and how we can pass details between them.
Part 2 in the 2021 edition of “Intro to AWS Amplify: Build a multi-tenant SaaS application.
This is the revised 2021 version of my Intro to AWS Amplify: Build a multi-tenant SaaS app Series originally developed as part of an event organised by the Melbourne AWS Programming and Tools Meetup. For this 2021 edition, I’ve done a complete update to cover off all the changes in Amplify over the last 2 years and included some additional tips around using cloud9.
If you’ve spent any time in the land of DevOps over the last few years you will have no doubt heard of the term “Infrastructure as Code”… The idea of defining your infrastructure environment in source code so that it’s easier to track changes and manage versions over time.
If you’ve spent any time in the land of DevOps over the last few years you will have no doubt heard of the term “Infrastructure as Code”… The idea of defining your infrastructure environment in source code so that it’s easier to track changes and manage versions over time.
Learn how the AWS CDK empowers development teams to write infrastructure-as-code using the general purpose programming languages they already know.
Amazon AppFlow is an AWS serverless solution that eases data transfer work from major SaaS products. This post discusses how it’s been used with Salesforce in a client project.
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups.
