Service and Support
AWS CloudFormation customer service and support are generally fast, responsive, and effective. Users appreciate the promptness and quality, though response times vary between environments. Technical support is often rated highly. While support in production is quick, delays can occur in non-production environments. The paid support offers prompt assistance with good communication, though some users find response times too long. Customized support plans improve relationships with AWS, and technical expertise helps avoid some support calls.
Deployment
Users find AWS CloudFormation's initial setup straightforward and quick, typically taking 10-20 minutes. Most appreciate its seamless integration with AWS, requiring no complex configurations or installations. They note ease of use enhanced by AWS's comprehensive templates. Few mention the setup complexity increasing with infrastructure size or lack of experience. Some highlight the straightforward transition from manual to automated processes, although adjustments in specific configurations may demand additional troubleshooting outside standard documentation.
Scalability
AWS CloudFormation enables seamless scalability, handling thousands of deployments and multiple user environments. It integrates well with AWS services, making it suitable for diverse clients. Users appreciate its capability to auto-scale resources while leveraging AWS's infrastructure. However, challenges exist, such as compatibility with other cloud platforms and certain integration limitations. Resource management metrics range from five to ten out of ten, depending on user needs and configurations, highlighting varying experiences with scalability.
Stability
AWS CloudFormation is considered stable by users. Many rate its stability highly, with scores often between eight and ten out of ten. Some mentioned minor issues, particularly with server-level incidents and resource scaling. Despite these, most agree it doesn't fail often, and any initial bugs are well understood. Users appreciate its reliability and performance, even though the learning curve is steep. Concerns are mainly around resource management rather than inherent stability.