Our organization is evaluating environment strategies for quality management in mf-24 and I’d like to hear real-world experiences. We’re currently 100% on-premises but considering cloud or hybrid models.
The main factors we’re weighing:
Provisioning speed: Cloud promises instant environments, but does it deliver in practice for ALM workloads?
Compliance requirements: We have strict data residency rules that favor on-premises
Infrastructure costs: Initial assessment shows cloud might be 40% more expensive over 5 years
Performance: Concerned about latency for large test execution datasets in cloud
Has anyone done a comprehensive TCO analysis comparing these models? What were your findings on performance benchmarking between cloud and on-premises deployments? I’m particularly interested in hybrid approaches that might give us the best of both worlds.
The hybrid approach is sounding more appealing. How do you handle the complexity of managing both cloud and on-premises environments? Do you use separate ALM instances or a unified deployment with distributed environments?
Those are valuable insights. The hidden on-premises costs are definitely something we need to factor in more carefully. What about performance? We have some test suites that process 50GB+ datasets. Did you experience any latency issues with cloud environments, especially for data-intensive quality management operations?
On the compliance side, hybrid is definitely the way to go if you have data residency requirements. We keep all production data and sensitive test data on-premises, but use cloud for development and staging environments. This gives us the provisioning speed benefits for non-critical environments while maintaining compliance for regulated data. The hybrid model does add complexity in terms of network connectivity and data synchronization, but it’s manageable with proper planning.