Service and Support
Azure Kubernetes Service boasts commendable customer service and support, with users noting prompt responses and effective assistance. However, response times can fluctuate, occasionally leading to delays. While some find the documentation and resources sufficient, others rely heavily on support, rating it between six and ten. Users appreciate the knowledgeable support team, although premium subscribers sometimes face basic inquiries at the start. High availability across regions remains a challenge, requiring consideration in service agreements.
Deployment
Azure Kubernetes Service (AKS) initial setup experiences vary. Many users find it straightforward, some mentioning ease with Terraform. They report setup times from minutes to several weeks, often depending on deployment complexity and environment. Others encounter challenges, noting difficulty with documentation and configuration. Security considerations, automation tools, and varying levels of team involvement influence setup satisfaction. Some rate it highly for simplicity, while others find it complex without automated scripting.
Scalability
Azure Kubernetes Service (AKS) is widely praised for excellent scalability, supporting diverse business sizes and requirements. Users report efficient auto-scaling capabilities and the ability to cater to significant workload demands. Many users rate scalability highly, noting its adaptability to changing needs. AKS' cloud-based infrastructure ensures flexible and robust scaling processes, accommodating both automatic and manual scaling preferences. Regardless of organization size, AKS supports extensive usage and is frequently chosen for its adaptable scaling features.
Stability
Azure Kubernetes Service (AKS) is praised for its stability, with most users experiencing consistent performance and reliability. Some face occasional syncing and debugging challenges, rating its stability between seven to ten. Meeting Service Level Agreements, AKS handles various disruptions. However, stability during updates and debugging some issues is noted as challenging. Users appreciate its mature, reliable platform, emphasizing the self-healing feature and minimal need for intervention.