AWS Architects – Best Practices to build Efficient Systems

aws cloud architect

Here is a great resource (best practices and guidelines) which would help cloud architects (especially, AWS Solution architects) build the most secure, high-performing, resilient, and efficient infrastructure possible for their applications. That said, these cloud architecture whitepapers (pdf) would also prove helpful and useful for all kinds of cloud architects including Azure, Google Cloud, IBM, Oracle cloud etc. The following lists down the links for pages in related areas of interest:

Operational excellence: Includes topics such as managing and automating changes, responding to events, and defining standards to successfully manage daily operations.
Security: Includes aspects such as confidentiality and integrity of data, access-control, data audit etc
Reliability: Includes topics such as recovery planning etc.
Performance efficiency: Includes topics such as selection of resources’ types and sizes based on workload requirements, monitoring performance etc.
Cost optimizations

You may want to bookmark this page, AWS Well-Architected to check the latest, updated whitepapers (pdf) from time-to-time.

Author
Recent Posts

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Latest posts by Ajitesh Kumar (see all)

What is Data Strategy? - August 2, 2025
Mathematics Topics for Machine Learning Beginners - July 6, 2025
Questions to Ask When Thinking Like a Product Leader - July 3, 2025

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.