How are you doing, fellow developers? Ready to dockerize your first application? Or what about finding out, what “dockerize” actually means? Let’s start!
The structure of today’s post will be the following:
- Understanding the Virtualization
- How containers are different from Virtual Machines
- Introduction to Docker concepts
This will be the start of the series of blog posts with the title “Achieving Continuous Delivery”, which I plan to write about in the upcoming few months. Topics I plan to cover are:
- What is the difference between CI and CD? Two meanings of CD. What is the business value in it? The tooling we will be using in the series
- Dockerization of a basic application
- Dockerization of an application, which has external dependencies (we will have just a database)
- Build service preparation. I will definitely cover TravisCI and probably some others for a comparison
- Preparing Staging and Production environments, using Heroku and integrating them into the CI pipeline
- Getting closer to the Continuous Delivery with feature toggles
After that, if I will still have an interest, I will also cover the AWS way of going from classical ELB+EC2 to the containerized approach, but won’t commit for this for now. Also, as you know, along the way people tend to change their mind and forgotten steps may appear or in the opposite, some steps will be too easy, so they will be merged with one another. Otherwise, all our estimations would be perfectly precise %)
However, let’s get started with the definitions, to understand, what we’re trying to tell and achieve when we’re talking about CI/CD.
If you followed my 3 my previous posts – you already created your first Amazon Lambda function, made it able to write to DynamoDB and be accessible from the outside world, using API Gateway.
In this post, I will guide you how to implement the same but without touching the AWS Management Console, which is barely understandable and very volatile by the interface. Instead, we will be using Terraform, which I also covered in the past blog post.
Let’s get started:
In this post, we will create a Lambda function which can write to the Amazon DynamoDB table. For this, we will create a table, modify existing function and set up IAM roles. Log in to your AWS account and let’s get started!
This post is the second one in series about Amazon Web Services first steps howtos.
I believe that traditional guides like AWS Certification preparation and Linux Academy don’t give the information in proper order, so here I give it in the format and the way how I give it to my colleagues at Babbel.
This post gives you an introduction to the DynamoDB and prepares a ground for the next practical lesson.
I just started AWS Learning Sessions in the company, I’m currently working in, and want to share with you our first lesson.
We have built small Lambda function, named Greeter, and integrated it to the AWS API Gateway.
If you want to get started with this tools and get some hands-on experience – this article will help you.
Not a long time ago I had no idea about what is the tool named Terraform. It was just beyond my bounds of interests and problems. But a month ago I changed a company and then had to deal with it. And guys, it’s wow. It’s so amazing thing so I even started liking DevOps job.
In few words it’s a tool to do infrastructure as a code. As they say on their website “Terraform enables you to safely and predictably create, change, and improve production infrastructure”.
In this post, I’ll cover why may you (as a developer or a DevOps) need it and how to get started. Getting started will be not just a hello world, but a real example, you can try right away.