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- Learn Azure and AWS Top Reads #2
Learn Azure and AWS Top Reads #2
Stay informed with the latest cloud, AI, and data content
đź“° Top Reads of the Week
1. Modernizing with Azure Container Apps (Azure)
Learn how recent updates to Azure Container Apps make it easier to scale microservices. This post walks through new features—like fine-tuned autoscaling options and streamlined ingress configurations—that can help dev teams simplify container-based deployments.
2. A Look Back at AWS re:Invent 2024 (and What’s Next) (AWS)
Missed re:Invent? This blog covers major announcements, including new AI/ML services, updates to AWS Lambda, and cost-optimization improvements. A must-read if you’re looking to plan your 2025 cloud roadmap based on AWS’s latest releases.
3. Best Machine Learning Software Tools (comparative)
Selecting an extensible machine learning tool is key—one that can facilitate app development, perform signal processing, and meet the evolving demands of any project. The author has compiled a list of top-performing machine learning software that, in their opinion, will significantly reduce coding challenges and accelerate progress. Readers are encouraged to explore these options for potential project enhancement.
4. Azure Synapse vs. AWS Redshift: A Data Warehouse Showdown (data)
If big data analytics is on your 2025 agenda, this side-by-side analysis of Azure Synapse and AWS Redshift offers insights into performance, scale, and cost. It’s a solid resource for teams evaluating enterprise data warehouse options.
5. Demystifying AWS Fargate for Containerized Workloads (AWS serverless)
Curious about serverless containers? This deep dive explores Fargate’s pros and cons, highlights optimal use cases (like batch processing and microservices), and shows how the pay-per-task model can streamline your operational overhead.
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đź“š In Case You Missed It
A quick roundup of recent content to revisit:
• November’s “Top Reads” Edition
If you missed our November spotlight, it covered everything from best practices for Azure DevOps pipelines to cost-saving tips in AWS.
• 2025 Trending Cloud Services: Industry-Specific and Serverless
Cloud providers are evolving beyond general-purpose platforms to specialized industry offerings with tailored tools, compliance, and expertise. This shift simplifies cloud adoption for businesses in sectors like health care, finance, and manufacturing by providing pre-built solutions and stronger compliance frameworks.
• Serverless Computing Costs: A Deep Dive into AWS Lambda, Azure Functions, and Google Cloud Functions
Understanding the cost implications of serverless is crucial for building and maintaining cost-effective applications. We’ll look at the 3 major cloud platforms and their serverless costs.
🔧 Tool of the Week
There’s been a lot of buzz lately about AI-assisted development tools. One standout option if you’re coding on AWS is CodeWhisperer.
AWS CodeWhisperer is an AI-powered coding companion that suggests code snippets in real-time. You can integrate it with your preferred IDE (like VS Code or IntelliJ), and it supports multiple programming languages (Python, Java, JavaScript, etc.).
Why It’s Useful
• Speeds Up Coding: Get instant suggestions and completion for your AWS-related tasks—no more flipping between docs and your code editor.
• Security & Best Practices: It helps ensure you’re following AWS best practices, including potential security guidelines for environment configurations.
• Integration with AWS Stack: Perfect for developers who frequently work with AWS services such as Lambda, S3, or DynamoDB.
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