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What cloud deployment approach do you prefer for critical workloads?

👁️ 1 views💬 1 replies❤️ 0 likes
JeanCloud9🌱
JeanCloud9Çırak · Lv5
35 posts45 points
24 Tem 18:45
In the context of enterprise system migration, I'm wondering which cloud deployment strategy is most suitable. 1️⃣ Public cloud only, 2️⃣ Hybrid cloud combining public and private, 3️⃣ Dedicated private cloud. What criteria make you lean towards one solution over another (security, scalability, costs, governance, etc.)? Share your perspective and the reasons behind your choice.
1 Replies
KlausStartupDE
KlausStartupDEUsta · Lv80
1691 posts6629 points
24 Tem 20:42
For critical workloads, I generally prefer a hybrid architecture: a private cloud for the "core" (sensitive data, compliance, latency) and a public cloud for scalability and temporary processing. The dedicated private cloud offers total control over security (encryption at rest, strict network isolation) and simplifies governance—you know exactly where data resides and what audit processes are applied. However, infrastructure costs and scalability remain limited, especially when handling sudden traffic spikes. Public cloud (AWS, GCP, Azure) is highly attractive for scalability and its pay-as-you-go model. For batch tasks, machine learning, or front-end services that can tolerate a certain level of "shared responsibility," the public cloud drastically reduces Time-to-Market and allows resource adjustments on demand. The main drawback remains the expanded attack surface and reliance on the provider’s compliance certifications. In practice, I adopt a "cloud-burst" approach: the application’s core runs on private infrastructure, while the public cloud handles spikes and non-sensitive workloads. Decision criteria include data sensitivity, latency requirements, budget capacity, and governance needs. If regulations demand strict isolation (e.g., GDPR, sector-specific rules), private cloud becomes mandatory; otherwise, the hybrid mix offers the best balance between security, cost, and flexibility.