Service and Support
Azure Block Storage support receives mixed feedback. Clients find the tiered structure slows response, impacting service. Some value Microsoft’s priority-based levels, rating support highly, while others face delays and expertise issues. Quick feedback and helpfulness are praised by certain users, seeing efficient ongoing communication. Partner presence benefits some, ensuring seamless assistance. Documentation often suffices, reducing dependence on direct support, although many report delayed ticket processing and resolution challenges, indicating room for improvement in response speed.
Deployment
The initial setup of Microsoft Azure Block Storage is mostly straightforward and simple, with many users reporting ease of installation within minutes or a few hours. Some experienced challenges with network complexities and architecture planning, while others found the documentation helpful. Deployment time varied from minutes to a few days, depending on user experience and setup environment. Technical knowledge enhanced the ease of setup, with support and maintenance usually managed by small teams.
Scalability
Microsoft Azure Block Storage has impressive scalability, allowing companies to expand as needed. Users find it easy to scale with automatic adjustments to storage capacity. Cost considerations exist, but scalability features like auto-scaling can be leveraged based on subscription options. Many businesses rate scalability highly, supporting users from small teams to large enterprises. Organizations appreciate the flexibility, with some noting challenges at extreme scales. Microsoft Azure Block Storage supports extensive horizontal and vertical scaling.
Stability
Microsoft Azure Block Storage stability is highly rated, often scoring 8 to 10 out of 10. Many entities affirm it as stable, with few reporting occasional issues, particularly within certain regions. Users appreciate its reliability, noting minimal downtime and strong backup features. Although some experience variability, most concur on an optimal stability level. Others point out minor operational glitches and longer-than-expected download times, yet confirm its general dependability and robust performance.
