Compliance: The Starting Point<\/strong><\/h3>\n<\/li>\n<\/ol>\nCLOUD Act vs. GDPR: What EU Companies Actually Risk<\/strong><\/p>\nData location describes where data resides. Data sovereignty defines which legal framework governs access.<\/p>\n
A server in Frankfurt operated by a US provider may still be subject to US law. What matters is corporate structure\u2014not the physical location of the data center. Providers such as Amazon Web Services, Microsoft Azure, or Google Cloud can be legally required to grant access to data\u2014regardless of where it is stored.<\/p>\n
This shifts the perspective:<\/p>\n
It\u2019s not the location that matters, but control over access, platform, and operations.<\/p>\n
For non-critical scenarios, the public cloud remains a valid option. However, once personal or regulated data is involved, architecture becomes critical. Compliance is not a downstream checkpoint\u2014it defines the solution space from the outset.<\/p>\n
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Latency: Physical Reality<\/strong><\/h3>\n<\/li>\n<\/ol>\nLatency is not just a technical parameter that can be optimized at will. Distance, network paths, and utilization impose clear limits.<\/p>\n
Low latency is achievable in regional scenarios\u2014but stability under real conditions is what matters. Network fluctuations and peak loads can significantly delay individual requests.<\/p>\n
In operations, it\u2019s not the average that counts, but reliability. This determines whether a workload can be centrally hosted or must run closer to the user.<\/p>\n
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Cost (TCO): Optimization Within Constraints<\/strong><\/h3>\n<\/li>\n<\/ol>\nCost is not the starting point\u2014it is the result of prior decisions.<\/p>\n
Variable workloads benefit from elastic infrastructure. Constant workloads with high data transfer volumes are often more cost-effective when operated in-house. The key is to consider all factors: infrastructure, data transfer, licensing, and operations.<\/p>\n
Only after compliance and latency are defined can a reliable cost assessment be made.<\/p>\n
Workload Placement in Practice<\/strong><\/h2>\nWorkloads are not distributed based on cloud models, but on clear decision criteria: regulatory requirements, latency, and operational control.<\/p>\n
Typical deployment layers include:<\/p>\n