AWS Cloud Development Kit (AWS CDK) Reviews & Product Details

I find the AWS Cloud Development Kit (AWS CDK) incredibly easy for deploying applications using AWS services. The ability to use programming languages like TypeScript, which our codebase already utilizes, is fantastic because it means I can work in a familiar language that enhances my comfort level with coding for CDK. The process of building DevOps architectures with line coding languages is streamlined, allowing me to reuse and deploy easily across various environments. Setting up and developing our CI/CD pipelines has also become effortless. I love that CDK enables the creation of custom constructs, providing a high level of abstraction in coding. Another standout feature for me is observing changes in cloud formations via CDK, ensuring I am always aware of what changes are being applied. The reusability of code across projects maintains consistency within our organization, which is highly beneficial. Review collected by and hosted on G2.com.

I find that if my infrastructure team is more comfortable with YAML and Terraform, adapting to AWS CDK's use of TypeScript and Python can be challenging for them. When we're working extensively in Terraform, it becomes slightly difficult to integrate with AWS CDK. Additionally, the abstraction provided by CDK sometimes leads to issues, such as leaks that make debugging complex and not straightforward. I feel AWS CDK is more suited for smaller projects; as projects grow larger, understanding the infrastructure code becomes complicated, presenting a notable learning curve and complicating architectural decision-making. Review collected by and hosted on G2.com.

CDK allows to easily define infrastructure as code by creating stacks that are then deployed to your AWS account. Code can be easily written in typescript, and can be deployed via stacks that can be redeployed and their status can be seen using the AWS console. The best part of AWS Cloud Development Kit is that updates to infrastructure can be maintained using git and version control. Review collected by and hosted on G2.com.

The CDK code needs knowledge of the AWS library and set up of a code package and repository that can then be connected to the AWS Account using CLI. Also, managing auth and security tokens is not directly possible in the CDK and there needs to be a separate token vault to manage secure tokens. Review collected by and hosted on G2.com.

The abiity to modularize and abstract the various resources/services with the AWS CDK. It makes it easy to use a language you are already familiar with and develop reuseable, repeatable and deployable code for and AWS infrastrucure. With IDEs and ability to link to documentation, understanding the concepts and parameters ensured knowledge and understanding as well rather than copy-pasta. Review collected by and hosted on G2.com.

It is not cloud agnostic, nor should it be. But it relies on cloudformation, which can be slow and buggy.Version upgrades can be a pain and you really are locked into all aws services rather than using outside tools easily. Review collected by and hosted on G2.com.

I like how AWS CDK lets me use familiar programming languages like TypeScript and Python to define infrastructure. It abstracts away a lot of the complexity of CloudFormation and makes infrastructure-as-code feel like actual software development. The constructs are reusable, and the integration with AWS services is seamless. Review collected by and hosted on G2.com.

The learning curve can be steep, especially when debugging complex stacks or dealing with low-level CloudFormation quirks. Review collected by and hosted on G2.com.

I have used it with my Python development. When using ephemeral virtual machines, it always helps to keep the data in buckets so I always add code using the CDK to create them. That way I persist the data between reboots of the vm or when I need to destroy it and recreated it. Review collected by and hosted on G2.com.

It t can feel overcomplicated compared to writing plain CloudFormation or Terraform scripts. Review collected by and hosted on G2.com.

Azure is a solid choice, especially if you're already using Microsoft products. The integration with Office 365, Windows Server, and other tools is seamless. It’s reliable and easy to manage once you get familiar with it Review collected by and hosted on G2.com.

While it’s generally user-friendly, some of the more advanced services can feel a bit complicated. It doesn’t quite offer as many features as AWS, so it can be limiting depending on your needs. Review collected by and hosted on G2.com.

AWS CDK is a great tool to have at our disposal when it comes to integerate our application with AWS. It helps us to seamlessly develop our code, deploy it on AWS cloud and manage different services that AWS offers simply through our code. Also, it is easy to implement as we can integerate it with our IDE such as VS Code or IntelliJ. Community support along with customer support helps us too. Review collected by and hosted on G2.com.

When it comes to what I dislike about AWS CDK, there is not much which I dislike but at the same time everything has some cons associated with it. One of them is its dependency on language though it supports multiple languages but not all the features are available in every language. Also, AWS CDK is easy to use and implement , sometimes we tends to use some unnecessary AWS services which incurs extra cost to us :) Review collected by and hosted on G2.com.

AWS CDK, developers can leverage the benefits of infrastructure as code (IaC) while working with a programming model that aligns more closely with their development workflows. This can lead to increased productivity, code maintainability, and collaboration between development and operations teams.

ease of implementation, ease of use, and ease of integration with CloudFormation. Review collected by and hosted on G2.com.

Many users find AWS CDK to be a powerful and flexible tool for defining and managing AWS infrastructure. As with any technology, individual experiences and preferences may vary. all good so far in my experience. Review collected by and hosted on G2.com.

The AWS Cloud Development Kit supports multiple programming languages such as Python and Go which is most easy to use, has great examples and documentation, reliable and easy to integrate and maintain several Machine Learning project infrastructures via software code.

The APIs developed includes many functionalities for making changes of configuration files to chnage virtual cloud resources to changing user permissions all in one place. Review collected by and hosted on G2.com.

The debugging and resolving deployment issues just from the APIs are sometimes difficult. However, analyzing build logs provides a clear reason for any failures. Review collected by and hosted on G2.com.

Language independence, you can utilize your preferred programming language. Easy to integrate with other AWS Services. Also its reusable constructs reduce the duplication of codes. Review collected by and hosted on G2.com.

I think the learning curve, one should be proficient before utilizing this. Sometimes dependency management add complexity for larger project with multiple collaboration. Review collected by and hosted on G2.com.