Service and Support
Fastly's customer service receives praise for being quick and providing effective solutions. Users highlight exceptional support with active Slack channels for seamless communication. There is feedback on the need for improvement in communication across different time zones. While acknowledgment can sometimes take time due to technical complexities, the team handles queries efficiently and avoids unnecessary delays. Enterprise support pricing comes with well-defined SLAs, which are satisfactory. Overall, Fastly's support is regarded as high quality.
Deployment
Fastly's initial setup varies from complex to straightforward. Several find it easy, citing a quick, code-free process involving ticking feature boxes. Some deploy on the cloud, with good end-to-end support, preferring hosted infrastructure over on-premise. Others find the GUI user-friendly for small companies, but transition to API use as they grow. Fastly's integration with products like Adobe Experience Manager is advantageous, yet its setup can differ based on company-specific needs.
Scalability
Fastly is highly scalable, with easy scaling due to its cloud nature. Organizations have experienced smooth growth with substantial user numbers, attributing ease of use and exceptional support as key factors. Fastly's global infrastructure supports scalability without encountering significant issues. Users rate its scalability highly, though concerns exist in on-prem setups. Fastly's direct sales approach can be challenging, impacting collaboration with partners. Fastly's scalability strengths are evident in its ability to adapt to different needs.
Stability
Fastly is praised for its stability and reliability. Users report no technical issues, crashes, downtimes, or lagging this year. They appreciate consistent performance with features like caching, purging, and configuration. Fastly effectively manages infrastructure, and users rate its stability nine out of ten. Fastly continues to be widely used with a very stable experience, showing reliable performance figures particularly with Compute@Edge. Users have high confidence in its operational effectiveness.