Cloud Engineer Multi Cloud

Day 20 – AI & ML in Multi-Cloud: Leveraging Cloud-Native AI Tools

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Section 1 – The Multi-Cloud AI Landscape Here’s a comparative landscape of what the big three offer: Category AWS Azure GCP Core ML Platform SageMaker (training, deployment, pipelines) Azure Machine Learning Vertex AI (end-to-end ML) Generative AI Bedrock (foundation models via API) Azure OpenAI Service Vertex AI GenAI Studio + PaLM models Data Services Redshift […]

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Day 16 – Serverless in Multi-Cloud: Combining AWS Lambda, Azure Functions & GCP Functions

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Introduction Imagine this: A fintech company handles millions of micro-transactions daily. Their engineers don’t want to manage servers. They want functions that scale instantly, cost only when used, and integrate across AWS, Azure, and GCP. That’s the promise of serverless computing. In single-cloud, serverless is straightforward. But in multi-cloud environments, things get exciting: At CuriosityTech.in,

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Day 12 – Hands-On Project: Deploying a Web App Across AWS & GCP

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Introduction Theory builds knowledge, but projects build expertise. In the world of multi-cloud engineering, nothing teaches better than deploying a real-world workload across two different providers. In this lab, we’ll build and deploy a simple web application split between AWS and Google Cloud Platform (GCP): At CuriosityTech.in, learners complete similar projects in guided workshops, where

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Day 8 – Database Options in Multi-Cloud: SQL, NoSQL & Cloud-Native DBs

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Abstract Databases are the foundation of every digital ecosystem, yet in a multi-cloud environment, database management introduces complexities around latency, consistency, scalability, and vendor dependency. This paper examines the SQL, NoSQL, and cloud-native database options across AWS, Azure, and GCP, providing a comparative analysis of their suitability for different enterprise workloads. Drawing from 20 years

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“Map showing AWS Global Infrastructure with labeled Regions and Availability Zones distributed across continents.”

Day 4 – Tools for Multi-Cloud Management (Terraform, Ansible, Kubernetes)

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In today’s fast-paced digital landscape, managing workloads across multiple cloud environments is no longer optional—it’s essential. Organizations are increasingly adopting multi-cloud strategies to leverage the unique strengths of cloud providers like AWS, Azure, and Google Cloud. While this approach brings flexibility, it also introduces complexity. Enter multi-cloud management tools: the secret sauce for consistent, automated,

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Day 26 – Interview Questions & Answers for Multi-Cloud Engineers

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Introduction Multi-cloud engineers are among the most in-demand professionals in 2025. Enterprises expect candidates to demonstrate: At CuriosityTech.in, we prepare engineers with simulated multi-cloud interviews, lab scenarios, and real-world problem-solving exercises to ensure they are confident, knowledgeable, and job-ready. This blog provides 50 interview questions with detailed answers, covering foundational to advanced topics. Section 1

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