The most objective critique I can give of any low-code abstraction tool is feature latency. Major cloud providers such as AWS and Azure release dozens of new services, instance types, or deep granular configurations every single year. Because DuploCloud sits as a translation layer between the engineer and the cloud provider, there is naturally a slight lag before those brand-new features show up in DuploCloud portal or in its custom Terraform provider. If our team wants to experiment with a newly launched AWS machine learning instance type or a highly specific EKS feature, sometimes we have to wait for DuploCloud to build it into their UI or find a temporary workaround via native cloud consoles. While DuploCloud is designed to make standard compliant infrastructure setups incredibly fast, sometimes edge cases can happen. The platform does a fantastic job of automating the ninety percent use case, but if an application requires a highly exotic legacy network topology and unconventional Kubernetes Ingress configuration, fighting against the platform's rigid safety guardrails can sometimes feel restrictive, which we faced in one of our testing projects last year. The UI simplifies everything, so when we actually needed to inject the raw, highly complex native Kubernetes YAML modifications, the escape hatch to override standard rules can sometimes have a learning curve, which we have already faced. Streamlining how advanced overrides to default settings work without breaking the compliance engine would be a great user experience improvement. The platform actively monitors for compliance drifts and logs system configuration perfectly. However, the searchability, filtering, and reporting element inside the administrative audit log UI could be more intuitive.
