Service and Support
Customer service and support for Google Kubernetes Engine vary. Some users find support effective with fast response times and AI assistance, while others report challenges, limited availability, or slow responses. Many users resolve issues independently, relying on forums or company expertise. There are mixed experiences regarding the professionalism and availability of customer service, with some suggesting improvement, especially in response time. Upper management often manages tech support escalations when needed.
Deployment
Users experience varied levels of complexity during Google Kubernetes Engine's initial setup. Many find it straightforward, requiring minimal time and leveraging Google's automation tools. Some encounter difficulties with complex configurations, network setups, and integrating with existing systems. Automation and tools like Terraform facilitate deployment, but challenges arise with advanced requirements. There are security concerns regarding public cluster deployment. Despite some hurdles, overall sentiment indicates that setup is generally manageable with the right expertise and resources.
Scalability
Users are satisfied with Google Kubernetes Engine's scalability. It supports effortless horizontal and vertical scaling, allowing for dynamic adjustments based on demand. The auto-scaling feature, often automated, is praised for responsiveness and efficiency. Some users note complexity with cluster-based applications, requiring more documentation. Google Kubernetes Engine is highly favored for its capacity to handle both microservice and machine learning workloads, with many users giving high ratings for scalability reflecting the Engine's robust performance.
Stability
Google Kubernetes Engine has a positive reputation for stability. Many highlight its reliability, scalability, and robust architecture. Users appreciate the consistent environment Google offers, making cloud transitions straightforward. Regular updates keep stability issues minimal, and versions align with current technology. Some mention challenges with complex deployments but acknowledge improvements over time. Ratings for stability often range between eight to nine out of ten, reflecting high satisfaction levels. Occasional issues are noted but don't significantly impact the user experience.