The AWS Well-Architected Framework has undergone significant updates to adapt to the evolving landscape of cloud computing, particularly in response to advancements in data, Artificial Intelligence (AI), and Machine Learning (ML).
These changes to the framework continue to ensure that organisations can design and operate secure, high-performing, resilient, and efficient infrastructure for their applications.
Evolution of the AWS Well-Architected Framework
The framework was first introduced in 2015 to guide cloud architects in building resilient and efficient applications.
Originally it was centred around five key pillars—Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimisation. Over the years, AWS has refined the framework to ensure it remains relevant in an ever-changing cloud landscape.
In 2021, AWS added the Sustainability pillar, emphasising the importance of environmental considerations in cloud architecture. So the current version now has six key pillars:
- Operational Excellence
- Security
- Reliability
- Performance Efficiency
- Cost Optimisation
- Sustainability
By 2022, AWS had introduced dedicated pages for each consolidated best practice across all six pillars, enhancing prescriptive guidance. By December 2024, more than 75% of the Framework’s best practices had been improved, reflecting AWS’s commitment to continuous enhancement.
Impact of Data, AI, and Machine Learning on the Framework
The rapid advancement of data analytics, AI, and ML has significantly influenced the AWS Well-Architected Framework.
Recognising the unique challenges and requirements of ML workloads, AWS introduced the Machine Learning Lens. This extension provides tailored guidance for designing and operating ML workloads, ensuring they align with the framework’s best practices.
The Machine Learning Lens addresses various aspects of the ML lifecycle, including data processing, model training, deployment, and monitoring. It emphasises principles such as automation, reproducibility, and continuous improvement, which are crucial for maintaining the reliability and performance of ML systems. By integrating these principles, organisations can build ML workloads that are not only effective but also sustainable and secure.
Additionally, AWS has acknowledged the role of generative AI in expediting and scaling Well-Architected Framework reviews.
By automating document analysis and utilising a knowledge base aware of the framework, organisations can conduct rapid and in-depth assessments. This integration of AI streamlines the evaluation process, helping organisations build secure, high-performing, resilient, and efficient infrastructure.
External Perspectives on the Framework’s Evolution
Industry experts have observed that the 2023 updates to the AWS Well-Architected Framework reflect AWS’s commitment to addressing the evolving needs of modern enterprises. The updates span all pillars of the framework, offering businesses a more comprehensive roadmap for navigating the digital landscape.
Additionally, discussions around building resilient AI systems highlight the relevance of well-architected design. The framework can be applied to different phases of the AI lifecycle, including business goal setting, ML problem framing, and data processing, ensuring that AI initiatives are robust and aligned with organisational objectives.
AWS Architecture Training
To support professionals in mastering the AWS Well-Architected Framework and its applications in AI and ML, AWS offers a range of courses:
- Architecting on AWS 3-day course: This course covers the fundamentals of building IT infrastructure on AWS, focusing on the AWS Well-Architected Framework. It is ideal for those new to AWS architecture or preparing for the AWS Certified Solutions Architect – Associate exam.
- Advanced Architecting on AWS 3-day course: This is a professional level course that builds on your knowledge from Architecting on AWS and dives deeper into complex, scalable, and secure solutions. It covers multi-account strategies, hybrid connectivity, advanced networking, security, high availability, and cost management.
- Practical Data Science with Amazon SageMaker 1-day course: This course adds to the core architecture skills by providing hands-on experience in building, training, and deploying ML models using Amazon SageMaker.
Achieving Certification
Obtaining the AWS Certified Solutions Architect – Associate certification will validate your ability to design secure, scalable, and cost-efficient cloud solutions, demonstrating expertise in AWS best practices. And if you have at least 2 years of experience designing and deploying cloud architecture on AWS, then you could go for the AWS Certified Solutions Architect – Professional certification.
These certifications enhance career opportunities by making you a more competitive candidate for cloud architecture roles, as AWS certifications are highly respected in the industry.
Get started with Bespoke Training
The AWS Well-Architected Framework has evolved to incorporate advancements in data, AI, and ML, providing organisations with comprehensive guidance to build and operate robust cloud infrastructures. Through continuous updates and training opportunities, Bespoke ensures that professionals are well-equipped to navigate the complexities of modern cloud architectures.
For individuals and organisations seeking official AWS Associate or Advanced Architecture training courses, feel free to view our Training Directory for our current public schedule courses.
Bespoke can also offer customised programs including team lunch and learns on the framework and can run flexible training courses if you have at least 5 students to upskill. The latest training will ensure that your team is equipped with the knowledge and skills to implement architecture best practices effectively.
Get in touch with Bespoke to talk through the best options available for you and your team.