The cloud computing market is becoming increasingly competitive, with the top three providers - Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure - vying for a larger share of the pie. The major cloud providers have shifted from offering only Infrastructure as a Service (IaaS) to also providing Software as a Service (SaaS) solutions that cater to specific technical requirements, with each provider having its own custom implementations. This has led to concerns about cloud lock-in, where customers are tied to a single provider and miss out on performance gains by using resources from other providers. The emergence of specialized compute engines designed for specific workloads is changing the landscape, with Apple's M1 chips, Google's Tensor line and Intel's AV1 encoding engines showcasing this trend. As a result, businesses need to adopt cloud-agnostic strategies, such as using Kubernetes to deploy their software stack on any compute platform, to avoid being locked into a single provider and maximize performance gains for their applications.