Day 19 – Case Study: How Enterprises Use Multi-Cloud for Reliability
Discover how organizations achieve higher reliability and resilience using multi-cloud deployments.
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Cloud Engineer Multi Cloud
Day 22 – Multi-Cloud Certification Paths for Cloud Engineers
While many engineers specialize in a single cloud, enterprises demand professionals capable of designing, deploying, and managing workloads across AWS, Azure, and GCP simultaneously.
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Day 10 – Cost Management in Multi-Cloud: Tools & Best Practices
The promise of multi-cloud—flexibility, resilience, innovation—often collides with financial reality. Enterprises that spread workloads across AWS, Azure, and GCP frequently encounter unpredictable billing, hidden data egress charges, and difficulty in creating a single pane of glass for financial visibility.
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Day 21 – Compliance & Governance in Multi-Cloud Environments
Introduction Cloud adoption changes more than just infrastructure — it also changes legal and compliance responsibilities. When companies move to cloud platforms like AWS, Azure, and GCP, they share responsibility with the provider but are still fully accountable for data privacy, security, and compliance.In a multi-cloud setup, strong governance is essential to avoid fines, data
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Day 17 – Data Migration Across Cloud Providers Explained
Introduction Data is the most valuable asset for any company, but it’s also the hardest to move. Unlike apps that don’t store data, data is large, hard to move, and often regulated. Migrating data across AWS, Azure, and GCP is rarely about just copying files — it’s about: AtCuriosityTech.in, we’ve seen companies in Nagpur and
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Day 13 – Kubernetes as the Backbone of Multi-Cloud Deployment
Whiteboard Introduction: Imagine a whiteboard with AWS on the left, GCP on the right, and Azure at the top. In the center, we draw Kubernetes clusters. The question: “How can we run workloads across different clouds without changing apps for each one?” The answer: Kubernetes (K8s) is the key — it acts as a common
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