Imagine an enterprise with customer apps running on AWS, a data lake on Azure, and AI models hosted in GCP. Customers expect real-time responses, yet the infrastructure spans three different clouds. How do you stitch these pieces together so they behave like one unified system? This is where multi-cloud networking comes in. With 20 years […]
Day 6 – Networking in Multi-Cloud: Strategies for Seamless Connectivity Read More »
Introduction In 2025, cloud platforms have become indispensable for ML engineers. They provide scalable infrastructure, prebuilt ML services, automated workflows, and integration with data pipelines. At curiositytech.in (Nagpur, Wardha Road, Gajanan Nagar), learners gain hands-on exposure to cloud ML platforms like AWS SageMaker, Azure ML, and Google Vertex AI, which enable end-to-end machine learning development—from
Day 18 – Cloud ML Platforms: AWS SageMaker, Azure ML, Google Vertex AI Read More »
Introduction In modern cloud engineering, Continuous Integration (CI) and Continuous Deployment (CD) pipelines are essential for delivering robust, error-free applications quickly and consistently. Google Cloud Platform provides Cloud Build and Artifact Registry to streamline CI/CD for containerized and serverless applications. At Curiosity Tech, engineers are trained to design, implement, and optimize CI/CD pipelines, enabling rapid
Day 16 – CI/CD with Cloud Build & Artifact Registry in GCP Read More »
Introduction In cloud environments, visibility into application and infrastructure performance is critical. Without proper logging and monitoring, troubleshooting, performance optimization, and compliance become impossible. Google Cloud Operations Suite (formerly Stackdriver) provides a comprehensive suite of tools for logging, monitoring, tracing, and alerting in GCP. At Curiosity Tech, we emphasize mastering these tools because engineers must
Day 12 – Logging & Monitoring with Google Cloud Operations Suite Read More »
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,
Day 4 – Tools for Multi-Cloud Management (Terraform, Ansible, Kubernetes) Read More »
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
Day 26 – Interview Questions & Answers for Multi-Cloud Engineers Read More »