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Learn Azure and AWS Top Reads
Thanksgiving Edition
š¦ Happy Thanksgiving (on Thursday) to all our U.S. readers! While the holiday week might be a bit quieter, thereās still plenty happening in the cloud world.
This week, weāre keeping it short and sweet with some must-read articles to keep you inspired and informed while you enjoy the holiday break.
Grab a cup of coffee (or pumpkin pie), and check out whatās been on our radar this week.
š° Top Reads of the Week
1. AWS Job Opportunities: Careers with High Salaries 2025
Explore the in-demand AWS roles like solutions architect and DevOps engineer, and learn how certifications can boost your career and salary in the cloud computing industry.
2. AWS re:Invent Preview: What to Expect This Year
AWS re:Invent is just around the corner. This article covers the key themes expected this year, including AI advancements, (the re:Invent catalog lists over 500 generative AI-related sessions.) updates to compute and storage, and deeper dives into tech predictions in the coming year.
3. AWS vs. GCP vs. Azure: Which Cloud Platform is Best for Your Business?Compare AWS, GCP, and Azure based on key factors such as pricing, compliance, security, scalability, ease of use, and their specific benefits for startups. After you have gone through this article, you will have a clearer understanding of which cloud platform is the best fit for your business.
4. Kickstart Your AI Journey: Using Azure AI App Templates to Build AI Applications
Explore what Azure AI App Templates are, how students can use them, and why theyāre a great starting point for building AI applications, even with minimal prior experience.
5. Best Practices for Using Azure AI Search for Natural Language to SQL Generation with Generative AI
Learn best practices for using Generative AI to convert natural language (NL) into SQL queries can simplify user interactions with complex databases.
Unlock Windsurf Editor, by Codeium.
Introducing the Windsurf Editor, the first agentic IDE. All the features you know and love from Codeiumās extensions plus new capabilities such as Cascade that act as collaborative AI agents, combining the best of copilot and agent systems. This flow state of working with AI creates a step-change in AI capability that results in truly magical moments.
š In Case You Missed It
A quick roundup of recent content to revisit:
ā¢ Ernst & Young (EY) Hiring Drive: Over 5,000 Job Openings
EY is set to significantly expand its workforce, aiming to create over 5,000 job opportunities.
ā¢ AWS vs Azure vs GCP: Comparison of the Big Three
Hyperscalers are investing billions of dollars into artificial intelligence (AI) hoping to get a leg up on whatās expected to be the future driver of cloud infrastructure. Which of the big three has the early lead?
ā¢ Lessons from a CIO on Choosing the Right Cloud for the Job
In an exclusive interview, Prosenjit Sengupta, Group Chief Digital and Information Officer (CDIO), shares insights on ITC's cloud journey, discussing the challenges, benefits, and best practices of leveraging Azure, AWS, and Google Cloud.
š§ Tool of the Week
Ironically, this tool is our sponsor this week. However, we want to highlight the magic in this IDE. You can think of the Windsurf Editor as the first agentic IDE, and then more. It is a new paradigm of working with AI, which we are calling AI flows - collaborative agents.
In general it is the point at which AI and Developers intersect to make the development process āflowā. Check it out.
Personally, this could become our favorite section. There are some really cool tools we are playing around with and canāt wait to highlight some more.
š Holiday Thoughts
As we reflect on this year, weāre grateful for the vibrant community of learners, developers, and architects who make the cloud journey exciting. Your curiosity and contributions inspire us daily.
Thank you for being part of this community. Happy Thanksgiving, and hereās to another week of innovation and growth! š¦
Writer RAG tool: build production-ready RAG apps in minutes
RAG in just a few lines of code? Weāve launched a predefined RAG tool on our developer platform, making it easy to bring your data into a Knowledge Graph and interact with it with AI. With a single API call, writer LLMs will intelligently call the RAG tool to chat with your data.
Integrated into Writerās full-stack platform, it eliminates the need for complex vendor RAG setups, making it quick to build scalable, highly accurate AI workflows just by passing a graph ID of your data as a parameter to your RAG tool.