Service and Support
Many find Azure Stack's customer service responsive, professional, and satisfactory, particularly for high-tier enterprise customers. Some express concerns about response time, coordination, and technical knowledge. Satisfaction often hinges on the subscription level and in-house expertise. Users appreciate the swift resolution of issues, though some smaller companies face delays. Coordination between Microsoft and third-party support, like Dell, affects user experience. Reviews rate support positively, ranging from fair to excellent.
Deployment
Many found Azure Stack's initial setup straightforward and easy, especially for those using Microsoft's documentation or partners. Some noted increased complexity with larger deployments or specific configurations. Users appreciated the integration with existing systems, while others highlighted challenges related to migration, customization limitations, or network setup. A few users experienced longer deployment times, typically depending on project size and team expertise. Azure Stack’s ease varies widely based on user capabilities and project demands.
Scalability
Azure Stack offers robust scalability, accommodating thousands of users with ease. It supports multiple nodes, ranging from a full stack to numerous expansions, efficiently managing diverse workloads. While some find AWS more intuitive, users appreciate Azure Stack's capacity to handle growth within specific constraints, particularly across global regions. Numerous organizations rate its scalability highly, noting its ability to adapt and expand, although challenges may arise with third-party integrations and regional service availability.
Stability
Azure Stack is generally stable, with most users rating its stability highly. While minor issues and bugs exist, including some glitches during VM migrations and sporadic failures of Microsoft services, these are often handled promptly by Microsoft support. Users appreciate Azure Stack's reliability and high uptime, with ratings often reaching eight or nine out of ten. However, stability can vary based on deployment conditions and workload environments, and some areas still have room for improvement.
