Google App Engine Reviews

Customers experienced varied ROI with Google App Engine. Efficiency improved with easier deployment and no server maintenance. Cost differences were notable; for instance, transitioning from a VM to Google App Engine reduced monthly expenses from $700-$800 to $120. However, some didn't observe measurable ROI in cost or resource savings, and inexperienced users faced challenges. Maintenance reduction was appreciated, but value perception varied with deployment preferences favoring AWS, Azure, or on-premise systems.

Enterprise users have varied experiences with Google App Engine's pricing. Some find its competitive pricing attractive, especially for lower usage tiers, while others note costs can rise quickly. The pay-as-you-go model garners praise, but surprises in costs may occur without careful management. Standard environments are generally more affordable than flexible ones. On a scale, pricing is generally rated between 6 to 8.5 out of 10, with affordability cited for certain applications.

• "If we don't know how to work with the tool, we might have some spikes in price."
• "We pay the license yearly. It's about $6 a month, which is $72 a year per person, so it's about $500."
• "I would like to have more free application with it. Some of the applications, I am paying more for them. I think that they must be free."

Google App Engine is used for deploying web applications, server-side rendering, hosting services, and SaaS applications. Users leverage it for seamless cloud integration with Google services, efficient autoscaling, and deploying applications without infrastructure maintenance. They also utilize it for industrial maintenance programs, communication, and documentation. Organizations deploy microservices using Google Cloud, AWS Cloud, and Microsoft Azure. Google App Engine supports software development, including CRM, APIs, and frontend-backend integrations with automatic updates.

Google App Engine's customer service and support receive mixed input. Some users commend the prompt responsiveness and efficient problem resolution, especially from partners or with enterprise accounts. Meanwhile, others note occasional delays and limited responsiveness, particularly with complex issues. Users appreciate the self-help options and find Stack Overflow useful. Ratings range from two to nine, indicating variability in experiences. Documentation is generally well-regarded, although not all users engage directly with support services.

Google App Engine's initial setup is generally straightforward for many users, thanks to comprehensive documentation and native integrations with services like Cloud SQL. Although the complexity varies, especially for non-web applications or multiple service deployments, deployment is typically quick. Some users report difficulties if they lack understanding of the architecture or when additional steps like IDE plugins are necessary. Initial deployment may take longer, but subsequent ones become more efficient.

Google App Engine is recognized for its effective scalability features. Users appreciate its auto-scaling capabilities, highlighting minimal issues with traffic management. Some mention that the flexible instances have deployment delays, yet integration with third-party applications remains smooth. The scaling design requires little configuration. Companies with varied user bases, from small businesses to larger systems handling significant data, find the platform handles demands efficiently. Certain users rate scalability very highly, indicating satisfaction with automatic and manual scaling options.

Google App Engine exhibits high stability according to feedback. Users report minimal issues, with rare disruptions mainly resolved quickly. No significant stability problems have been observed, even with long deployment times, large code bases, or network complications. It requires minimal maintenance, although expected updates like Python upgrades are necessary. Feedback generally rates its reliability between eight to ten out of ten, reflecting confidence in its consistent performance since its introduction in 2008.