- IntroductionAWS announce the release of the Data Solutions Framework on AWS (DSF), an open source, opinionated framework designed to simplify and accelerate the process of building data solutions on AWS. By leveraging DSF, developers can reduce the time it takes to create end-to-end solutions on AWS from days or weeks to mere hours.🛡️✨
Data Solutions Framework on AWS 🛠️The DSF simplifies the complex task of building modern data platforms by offering a set of common abstractions and building blocks, inspired by the AWS Well-Architected Framework. This framework enables developers to focus on their data solutions by providing Infrastructure as Code (IaC) for defining and deploying infrastructure with AWS CloudFormation. DSF also includes smart defaults and follows AWS best practices, allowing for easy and flexible customization to meet specific requirements.
DSF Components🎟️
ADSF is built using the AWS Cloud Development Kit (AWS CDK) and offers L3 CDK Constructs, which are opinionated implementations of common technical patterns. For example, DSF provides a DataLakeStorage construct that creates a complete data lake storage solution with Amazon S3 buckets, encryption, data lifecycle policies, etc. Using these constructs, developers can create a data lake in their CDK application with just a few lines of code.
• Integrated Building Blocks: DSF offers smart defaults and deep customization capabilities, allowing developers to compose data solutions at the right level of abstraction.🛠️
• Fully Customizable: Developers can easily customize DSF constructs using standard development patterns like inheritance and composition or by forking the repository and publishing their own version of the library.🔄
Best Practices⚡ These best practices are designed to ensure that data solutions built using DSF are secure, scalable, and compliant with industry standards. Some of the key built-in best practices include
1️⃣ Least-privilege permissions🔐DSF ensures that access to resources is granted with the principle of least privilege, meaning that users are only given the minimum level of access required to perform their tasks. This helps to reduce the risk of unauthorized access to sensitive data.
2️⃣ Encryption everywhere🔒DSF enables encryption of data both in transit and at rest. This means that data is encrypted when it is transferred between different systems, as well as when it is stored on disk or in a database. Encryption helps to protect data from unauthorized access.
- 3️⃣ Private deployments of purpose-built services🕵️♂️
Conclusion
In conclusion, the Data Solutions Framework on AWS (DSF) is a powerful, opinionated framework that simplifies and accelerates the process of building data solutions on AWS. By leveraging DSF, developers can focus on their use case while DSF handles the infrastructure as code (IaC) and follows AWS best practices. With smart defaults, deep customization capabilities, and built-in best practices for security, scalability, and compliance, DSF enables developers to create secure, scalable, and compliant data solutions on AWS in a fraction of the time it will take using traditional methods.🌟🛡️
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Data Solutions Framework On AWS
Data Solutions Framework on AWS
- Feb 20, 2024
DSF ensures that services are deployed in a private and secure manner. For example, databases and other services are not exposed to the public internet by default, which reduces the risk of unauthorized access.
4️⃣ Data deletion protection🗑️
DSF provides safeguards to prevent accidental deletion of data. For example, data may be stored in a versioned S3 bucket, which allows for easy recovery of deleted data.
