Best of Google Cloud Platform — January 2025
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Javarevisited·1y
10 Best Cloud Computing Courses, Labs and Projects in 2025
Cloud computing is essential for modern software development and business operations in 2025. This guide provides a list of the 10 best interactive online courses, labs, and projects from Educative.io to learn cloud computing from scratch. These resources cover AWS, Azure, and Google Cloud Platform, providing practical skills for building and managing cloud solutions. It's an ideal resource for beginners to advanced professionals aiming to gain expertise and prepare for certifications.
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Google Developers·1y
Vertex AI RAG Engine: A developers tool
Generative AI and LLMs face issues like hallucinations and limited knowledge. RAG and grounding help by accessing up-to-date data for more accurate responses. Vertex AI RAG Engine, a managed service by Google Cloud, simplifies this process for developers, enhancing applications in various fields such as finance, healthcare, and legal, by streamlining data retrieval and improving accuracy.
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freeCodeCamp·1y
A Beginner's Guide to Terraform – Infrastructure-as-Code in Practice
Cloud development has evolved, making Infrastructure-as-Code (IaC) more prominent. Terraform, a tool from HashiCorp, stands out for its cloud-agnostic nature and ease of automation. This guide explains Terraform's benefits, like its declarative approach, conflict handling, and version control. It also details common Terraform commands and illustrates creating a Google Cloud-based virtual machine using Terraform scripting.
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Hacker News·1y
So You Want to Build Your Own Data Center
Railway decided to build its own data center to overcome the limitations posed by hyperscalers like Google Cloud Platform, which affected pricing, service levels, and engineering constraints. After nine months, their first site in California was up and running, and additional regions are being set up. The post covers the entire process, from choosing the space, managing power and cooling, and ensuring optimal network connectivity, to the installation of hardware and configuration. It emphasizes the importance of redundancy, professional cabling, and detailed documentation for a successful data center build.
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Medium·1y
How I built an agent with Pydantic AI and Google Gemini
Building an AI agent leveraging Pydantic AI and Google Gemini can streamline the synthesis of strategic insights. This tutorial demonstrates how to build such an agent using frameworks like FastAPI for the backend, HTMX for dynamic UI updates, Tailwind CSS for styling, and Cloud Run for deployment. The agent performs web content analysis and generates a SWOT analysis, incorporating community insights and competitive analysis through various integrated tools.
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Data Engineer Things·1y
Netflix Movie Analytics (Homemade)
A data engineer combines a passion for film with data analytics by analyzing their Netflix viewing habits. Using data exported from Netflix and enriched through The Movie Database (TMDB) API, they store and process the data on Google Cloud Platform (GCP). The data is modeled into a Star Schema on Google BigQuery, orchestrated with Airflow, and visualized using Tableau. Key insights include favorite genres, preferred viewing days, and overall streaming patterns.
