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Hello Reader, Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, with more than 200 fully featured services. While this is great for building diverse architectures, it's equally daunting to get started with AWS. What services should you learn, what are the important areas, and what parts are important for interviews - let's find out! Below is the comprehensive list that will get you covered for most interviews and actual projects. However, if even this is too much, let's review a MUST KNOW BARE MINIMUM LIST for interviews. MUST KNOW BARE MINIMUM LIST For Interviews
If you are an absolute beginner and not sure how to get started, gentle plug - check out my max discounted AWS for Absolute Beginners Course Max Discounted Link. Whether you get my course or not, important part is to get started! Keep Learning and Keep Rocking 🚀 ; Cloud With Raj |
Free Cloud Interview Guide to crush your next interview. Plus, real-world answers for cloud interviews, and system design from a top AWS Solutions Architect.
Hello Reader, There is a debate that plays out in almost every engineering team adopting cloud infrastructure. Containers or serverless. Kubernetes or Lambda. And almost every time, the person making the argument has already picked a side before the conversation starts. The person adopting serverless says containers are too complex. The person adopting containers says serverless lacks features. Both are partially right and both are missing the point. The real answer depends on five factors,...
Hello Reader, Every CEO in the last two years stood on a stage or got on an earnings call and said some version of the same thing: "AI is going to transform our operations. We are reducing headcount because AI will handle it." Two stories broke this week that every Solutions Architect and cloud professional needs to understand. Starbucks quietly shut down their AI inventory system after nine months. Deleted the blog post announcing it. No press release. Just an internal memo: go back to...
Hello Reader, Most AI agents built today have a fundamental flaw. They forget everything the moment a session ends. You tell the agent your preferences, your constraints, your context. You close the tab. You come back. It has no idea who you are. This is not a bug. It is the default state of every LLM and agent. They are stateless by design. And if you are building agents or going into SA interviews, understanding how memory works at a system design level is now a baseline expectation. Why...