Service and Support
Microsoft Azure VPN Gateway's customer service and support quality varies. Customers with premium support contracts experience quick, helpful assistance with high resolution quality, rating it ten out of ten. Those without a contract encounter delays and less effective support, rating it two to three out of ten. While technical support is often helpful and efficient, some users find it challenging to connect with knowledgeable team members. Free support lacks responsiveness, leading some users to seek solutions independently.
Deployment
Users find Microsoft Azure VPN Gateway's setup generally easy and straightforward, often taking 20-45 minutes. Experienced users describe it as quick, while others mention complexities in configurations, especially with on-premises integration and networking restrictions. Some rely on support teams or detailed documentation. A few encountered challenges but succeeded after implementation. Overall, they rate the setup between eight and nine out of ten, noting the need for planning and resource management.
Scalability
Microsoft Azure VPN Gateway is well-regarded for its scalability, accommodating varying user loads efficiently. Users appreciate the ability to scale plans based on needs, with the option to increase bandwidth and features as required. While some note limitations depending on the selected SKU, others rate its scalability highly, appreciating its ability to support growing business requirements. Azure's managed service structure aids efficient load distribution, ensuring high availability and reliability.
Stability
Microsoft Azure VPN Gateway is generally stable, according to users. Some mentioned minor issues, requiring an alternative tool like Palo Alto Networks. Users noted the necessity of proper configuration for optimal performance. Despite occasional setbacks, many rate its stability highly, with some praising its performance and reliability, experiencing minimal downtime over extended periods. Several users monitor performance regularly and anticipate evaluating stability further with increased workloads.