AWS Certified DevOps Engineer - Professional Certification and Beyond

Adam Book's "AWS Certified DevOps Engineer" 638-page book offered a decent foundation for the official exam, but I held off on reviewing it until I completed the test. My initial concerns were its alignment with the older DOP-C01 exam objectives while the actual exam was based

How to write SageMaker code faster with AWS CodeWisperer

Staying current in the tech world means being familiar with AI-powered coding tools. You've likely encountered GitHub Copilot and an alternative developed by Amazon, CodeWhisperer. CodeWhisperer is a general-purpose, machine learning powered code generator that provides real-time code recommendations. As you write code, CodeWhisperer automatically generates suggestions based

How Split-View DNS Can Improve Your Business Operations

After a grueling week at the office, you decided to unwind and catch up on some work from the comfort of home. You fired up a laptop, established a secure connection through the VPN client, and typed "erp.mycompany.com" into the browser. Unfortunately, an error message popped

How to pass on hiring a data scientist with SageMaker Autopilot (AutoML)

"What if..." how many times have you asked this question before making a decision? If you are a business owner, a marketing, sales, or supply chain specialist, or someone who worries about the future, you ask such questions a lot. There is one common thing among you all

Software Architecture Patterns: Understanding Common Architectural Styles and When to Use Them

"Software Architecture Patterns" by Mark Richards deserves to be called a long article instead of a book because it has fewer than 100 pages. Even so, it left a positive impression...

AWS Cookbook - Recipes for Success of AWS

The cookbook is not my favorite style of technical books, but I picked it because Jeff Barr wrote the foreword. If you don't know who he is, you likely have never built software on AWS before. Besides, I recognized two names who praised it: Gaurav Raje and Adrian Cantrill...

Processing Amazon SageMaker batch jobs with SciKit

Batch jobs are a good option for large datasets or if you do not need an immediate response to a model prediction request. The implementation is quite simple with the help of scikit-learn and SageMaker...

How connect to EC2 in a private subnet from a local terminal

Modern security standards demand that organizations place application servers, databases, and other business-critical resources in private subnets to prevent direct access from the Internet. It is good practice, but...

Building an Anonymization Pipeline - Creating Safe Data

Data anonymization is not as simple as it seems. This book helps you understand the common terms and issues. It helps to find the right spot on the Identifiability Spectrum (share everything vs. share nothing). Then, apply the "Five Safes" risk management framework...

AWS for Non-Engineers

If you are a UX/UI designer, product manager, front-end engineer, executive, or just someone who wants to build an AWS cloud vocabulary and better understand what your technical team is talking about - this book is for you...

Easy way to enforce and test Least Privilege AWS IAM Policy

It is hard to count how many times I saw companies grant AdministratorAccess to developers and partners. I know you trust them, but...

Solutions Architect's Handbook

Writing is hard, and writing books is even more challenging. Every time I read a book, I appreciate an enormous effort made by an author or group of authors...

How to transform data with Amazon SageMaker Data Wrangler

Data transformation is a process in machine learning that involves converting raw data into a suitable format for model training and analysis. It's akin to preparing ingredients before cooking a meal - the better the preparation, the tastier the final dish...

How to build training datasets using SageMaker Ground Truth

Amazon SageMaker Ground Truth is a fully managed data labeling service that helps you build high-quality training datasets for your machine learning models. It simplifies the process of labeling images, videos, and text data, making it easier to train accurate and reliable models...