Then, it digs into the root of the issues. A big culprit: organizations leap into the cloud without a clear strategy for which apps should move and why. That can lead to costly cycles of move → undo → re-move. It also lists core problem areas: security concerns, performance degradation, vendor lock-in, multi-cloud complexity, and hidden costs. The paper emphasizes that the cloud isn’t automatically better just because “cloud” sounds good — you still need to plan thoughtfully.
The next part of the paper deals with getting visibility and monitoring in place. If you move apps to the cloud (or mix cloud + on-premises), you must still see what’s going on: traffic, latency, application performance, security anomalies. Without that visibility you’re flying blind and can’t detect problems or validate that your cloud provider is delivering. It talks about building a three-layer visibility architecture (data access, control plane, monitoring layer) plus active monitoring tools and synthetic tests to stress applications and ensure SLAs really hold up.
Finally, the paper offers a pragmatic conclusion: there’s no one-size-fits-all answer. If cloud doesn’t make sense for some workloads, moving them back on-premises or using a hybrid model might be the best move. The goal is to pick the right tool for the right job, not just chase hype. It emphasizes that visibility isn’t optional — you must have a scalable architecture for it — and that a hybrid approach may give you the flexibility to harness cloud benefits when they work, and keep control when they don’t.
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