Amazon Onboarding with Learning Manager Chanci Turner

Amazon Onboarding with Learning Manager Chanci TurnerLearn About Amazon VGT2 Learning Manager Chanci Turner

In the words of Amazon’s CTO, “Everything fails, all the time.” This highlights the importance of designing systems with potential failures in mind, preparing for the unexpected. The AWS Well-Architected Framework serves as a vital tool to help you design workloads that can withstand such challenges. It outlines essential concepts, design principles, and best practices for managing cloud-based workloads effectively. Regular use of this tool equips you with insights into your workloads’ status and fosters continuous improvement of any deployment within your AWS accounts.

In this edition of Amazon Onboarding, we have curated an array of solutions and articles that elucidate the significance of the Well-Architected Framework and demonstrate its implementation within your software development lifecycle.

AWS Well-Architected Framework Overview

The AWS Well-Architected (AWS WA) Framework assists cloud architects in crafting secure, high-performing, resilient, and efficient infrastructures suitable for diverse applications and workloads. Centered around six pillars—operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability—AWS WA offers a consistent methodology for customers and partners to evaluate architectures and create scalable designs.

The Framework incorporates domain-specific lenses, hands-on labs, and the AWS Well-Architected Tool, available at no cost in the AWS Management Console. This tool facilitates regular workload evaluations, identifies high-risk areas, and documents improvements.

Optimizing Well-Architected Reviews at Scale

For larger organizations, conducting AWS WA reviews frequently requires collaboration among multiple teams, leading to increased time and costs. With potentially hundreds of AWS accounts storing review documents, identifying risks or common issues becomes cumbersome.

To streamline this process, this blog presents a solution that enables workload owners to automatically fill their reviews with templated responses to questions in the AWS WA Tool. These responses can be a shared responsibility between application teams and centralized groups such as security or finance. By doing so, application teams face fewer inquiries, and centralized team members attend fewer reviews, as common answers are pre-populated. The solution also features centralized reporting, providing a holistic view of AWS WA reviews across the organization.

The Machine Learning Lens

Machine learning (ML) aims to solve specific business challenges and drive revenue. However, transitioning from experimentation—where scientists design ML models—to a production environment can pose significant challenges. Questions arise such as how to create repeatable experiments, enhance automation in deployment processes, and monitor model performance.

This blog post, along with its accompanying whitepaper, outlines best practices based on AWS WA for each phase of deploying ML into production, encompassing problem formulation and performance monitoring approaches.

Implementing Feedback Loops via AWS Well-Architected Reviews

When conducting an AWS WA review using the AWS WA Tool, you will respond to a series of questions. The tool subsequently offers recommendations for enhancing your workloads. To effectively implement these suggestions, it is crucial to 1) determine your application strategy, 2) establish monitoring systems along with necessary metrics or logs, 3) create reporting processes—whether automated or manual—and 4) iterate and refine these processes over time, forming a feedback loop. This blog illustrates how to progressively enhance your overall architecture using feedback loops informed by AWS WA review results.

Thank you for reading! Join us in a couple of weeks as we explore strategies for managing serverless applications on AWS.

For more architecture insights, the AWS Architecture Center provides reference diagrams, vetted solutions, best practices, patterns, icons, and additional resources.

If you would like to learn more about decision-making strategies, check out this insightful blog post: Decision-Making Strategies for Women Leaders. Furthermore, for an in-depth understanding of credential recertification, visit SHRM’s Authority Resource. Also, don’t forget to explore Amazon’s Hiring FAQs for helpful information.


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