Hi,
I’ve been exploring how organizations handle workload distribution in hybrid cloud setups, and it’s clear that striking the right balance in a hybrid cloud between on-prem and cloud environments isn’t always easy. Some teams rely heavily on automation tools like Kubernetes or OpenShift, while others focus more on manual optimization based on performance and cost metrics.
I’m curious to know what’s been most effective for others here. How do you decide which workloads stay on-prem and which move to the cloud? Do you prioritize latency, cost, or scalability when making that call?
Also, have orchestration or monitoring tools made a noticeable difference in simplifying your hybrid cloud operations? Real-world examples or insights from your experience would be really valuable for anyone fine-tuning their hybrid setup.
I’ve been exploring how organizations handle workload distribution in hybrid cloud setups, and it’s clear that striking the right balance in a hybrid cloud between on-prem and cloud environments isn’t always easy. Some teams rely heavily on automation tools like Kubernetes or OpenShift, while others focus more on manual optimization based on performance and cost metrics.
I’m curious to know what’s been most effective for others here. How do you decide which workloads stay on-prem and which move to the cloud? Do you prioritize latency, cost, or scalability when making that call?
Also, have orchestration or monitoring tools made a noticeable difference in simplifying your hybrid cloud operations? Real-world examples or insights from your experience would be really valuable for anyone fine-tuning their hybrid setup.