dynamodb-toolbox VS Yup

One of them was that it had originally been coded in JavaScript. Although Jeremy rewrote the source code in TypeScript in 2020, it didn't handle type inference, a feature that I eventually came to implement myself in the v0.4.

If you have in mind features that I missed, or would like to see some of the ones I mentioned prioritised, please comment this article and/or create an issue or open a discussion on the official repo with the v1 label 👍

For instance, here is an example of the same UpdateCommand with one of those wrappers, DynamoDB-Toolbox:

It's been mature enough for at least four years.

1. Not an issue for me. Connection reuse support in Lambda is quite good

2. NoSQL is a good skill to keep your in bucket anyhow. DynamoDB is a different approach, but much of the same tenets you'll find in other NoSQL databases still apply. Using tools like dynamodb-toolbox [1] help greatly with paradigm shifts into Dynamo.

3. True. Ask yourself how much this matters. How likely is it that you'll need to support another cloud provider for a single product? In 20 years I've seen a platform provider switch exactly once. And DynamoDB can be exported easily.

4. Nope. But there are things to learn about cold starts; how to structure code, where to initialize things, which things should be singletons, etc.

5. Depends on the situations and needs. The right tool for the right job, if you will. I've written GraphQL servers that run on lambda which serve 300k users daily. I've also done the same using Fargate/ECS et al. Much of the decisions revolve around complexity of execution and cost factors (e.g. the cost and complexity of running lambda's to process data often versus a Fargate service). You're getting into Software Architecture now.

6. Again, depends on the situation. You'll need to start thinking about what individual services/components/things are doing, what they need, and how they need to run. Gather that information, and then start cost comparisons using the pricing tools the provider has.

[1] https://github.com/jeremydaly/dynamodb-toolbox

Note that all these entities will belong to the same DynamoDB table. We define only one partition key and one sort key for this table: both of type string. Key is the values we provide for these keys. As you can imagine, this quickly can become a bit tangled mess. Therefore I recommend to express this 'schema' (e.g. of what types of keys we lay over our base table) in code. Later in this article I will show how this can be accomplished using the DynamoDB Toolbox framework.

I use single table design with app sync through this library: https://github.com/jeremydaly/dynamodb-toolbox

Serverless Cloud further reduces the cognitive load on developers by automatically applying best practices for APIs, data, storage, CDNs, and more. For example, Jeremy Daly, GM of Serverless Cloud, created the DynamoDB Toolbox to help developers implement the best practices of single table design for Amazon DynamoDB. Serverless Data bakes in those best practices for you and provides a simple interface to manage your data. Similarly, your API endpoint will automatically have a sufficient amount of computational resources by simply using the api interface of our SDK. Serverless Cloud continuously adapts the best configuration for your application, letting you focus on solving business problems, not infrastructure ones.

I like the idea, especially since I found libraries like https://github.com/jeremydaly/dynamodb-toolbox or https://github.com/sensedeep/dynamodb-onetable not elastic or up to date enough for me and reverted to raw AWS SDK. I look forward to AWS SDK v3 support in your typings!

Formik and Yup empower you to build robust and user-friendly forms in React. By leveraging their capabilities, you can streamline form management, reduce boilerplate code, and ensure a smooth user experience with clear and effective validation. Refer to the official documentation of Formik https://formik.org/ and Yup https://github.com/jquense/yup for in-depth exploration and advanced use cases.

On the other hand, Formik gives you components that you can mix and match to have fully working forms. Formik has builtin support for Yup for data validation.

I was recently building an application that, among other features, allows a user to submit chess players and chess games to a database. I was utilizing Yup for form schema and Formik for error handling, validation, and form submission.

Sometimes our use case might not require a full-blown form validation library though and we might already have a schema validation library installed in our project such as Zod or Yup. In that case, a simple Vue composable is all that is needed to provide a great form validation UX.

As for validation libraries, I would recommend Yup. With it you define your validation rules in a schema object which can be used where ever you need to do validation. It also integrates very nicely with react-hook-form which is what I’ve moved to using for any nontrivial forms.

GitHub Repository:

I'm currently experimenting with the fantastic Redwood framework. However, while going through the excellent tutorial, I didn't find any guidance on using data validation libraries like Yup, Zod, Vest, etc. So, I had to do some investigation and came up with a solution. This article describes the implementation of validation with Zod in a fresh Redwood app. You can find the sources at this github repository.

Do you want to create a form in your React Native app but don't know how? Then this post is for you! In this post I will teach you how to create forms using a library called Formik , as well as how to integrate non-native form components with Formik. Additionally you will learn how to validate forms using Yup (which Formik supports out of the box)

The project has two authenticated pages - Home and Profile. Unauthenticated users can Sign In, Sign Up, Reset Password and Update Password. All of this is powered by Next.js app router, with usage of both Client and Server Components, and Supabase handling all of the authentication related functionality. Forms are built using Formik and Yup for field validation.

Similarly to zod or yup, attributes are now defined through function builders. For TS users, this removes the need for the as const statement previously needed for type inference (so don't forget to remove it when you migrate 🙈).