Today, I am excited to share my new course: AWS CDK with Python Step by Step. In this post, I will summarize the contents of the course and why you should learn AWS CDK. I will also share a discount coupon special for the launch for those interested. Read more at NEW! AWS CDK with Python Step by Step post.
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If you tried learning AWS CDK, you might have realized that three levels of CDK construct types exist when defining an AWS resource: L1, L2, and L3 (also called ‘CDK patterns’). So, deciding which CDK construct level to choose may become confusing. Sometimes, a resource’s different construct classes are even named similarly. Then, are there any advantages you get by choosing one over another?
You aren’t alone if you feel the same. This was also what I felt while learning AWS CDK. So, in this post, I will discuss AWS CDK construct levels to help you understand their differences.
I thoroughly cover them with hands-on examples in my AWS CDK with Python Step by Step course. Still, this post will be a nice addition as a summary of these crucial AWS CDK concepts.Read more at AWS CDK Construct Levels: How do L1, L2, and L3 Construct Types Differ? post.
If you are interested in AWS, you may have heard many praises for its global infrastructure. But sometimes, it can be confusing to understand the global AWS infrastructure concepts and how to apply them in your own operations. In this post, I will discuss AWS’s global infrastructure and how it may benefit you. Read more at How to Make the Most of AWS Global Infrastructure? post.
AWS CDK and AWS CloudFormation are powerful infrastructure as code tools to automate the creation of your AWS resources. Both tools can help you achieve operational excellency on AWS by removing manual provisioning methods like AWS Management Console or AWS CLI and eliminating possible human errors caused by only using them.
However, you might be wondering which to choose if you are new to AWS CDK or CloudFormation or just beginning to apply infrastructure as code on AWS. Therefore, in this post, I will discuss the differences and similarities between AWS CloudFormation and AWS CDK to help you understand them. Read more at AWS CDK vs. AWS CloudFormation post.
- by Emre Yilmaz
- Sep 19, 2022
- AWS • DevOps • Announcements • Docker • AWS CodePipeline • Amazon ECS • AWS Fargate • AWS CodeCommit • AWS CodeBuild • AWS Secrets Manager • AWS Systems Manager
I am excited to share our newest section in my Udemy bestseller AWS CodePipeline Step by Step course, Building Docker Images & ECS Rolling Deployments With AWS CodePipeline.
If you’ve not joined yet, for the next five days, you can join this course with a best-price coupon special to the launch of the new section using the link below:
Our newest section focuses on building your
Docker images, publishing them to
Docker Hub or
Amazon ECR with
AWS CodePipeline and
AWS CodeBuild, and deploying them to
Amazon ECS as rolling deployments** using the
direct integration of CodePipeline with ECS. Read more at New Section! Building Docker Images & ECS Rolling Deployments With AWS CodePipeline post.
Stack policies are among the most helpful features of AWS CloudFormation for protecting your stacks from unintended updates. Let’s say that you have an Amazon RDS instance that you manage with AWS CloudFormation. After a while, you change one of its attributes and update your stack. Guess what! The update you considered innocent was not so after all. It replaces your database instance with all the data inside. It’s a nightmare, isn’t it? So, you wish there were a CloudFormation feature preventing this from happening.
Luckily, CloudFormation has stack policies to help you in situations like this. In this post, I will talk about stack policies and how to use them as a supplementary protection mechanism in your stack updates. Read more at AWS CloudFormation Stack Policy Conditions: Don't Replace or Delete My DB Instances on Stack Updates post.
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