The FaaS deployment capability is a game changer! It makes scaling applications super easy.
There could be more templates for specific use cases. I found some gaps in the types of applications supported.
It significantly reduces the time I spend on deployment and monitoring, allowing me to focus on development.
I love how it integrates well with Docker. This makes local testing and deployment to AWS quite seamless.
Sometimes it feels a bit slow when monitoring the performance of apps. A more responsive interface would be beneficial.
It simplifies the monitoring of AI applications. This ensures my projects run smoothly, which helps in maintaining user satisfaction.
The continuous monitoring feature is really impressive. It allows me to catch issues before they affect my users.
The learning curve can be steep at first. It took me a while to get accustomed to all the features.
It helps me deploy my applications faster and also track their performance, which enhances my workflow significantly.
I appreciate the concept of using templates for app development.
In practice, the tool was quite buggy, and I experienced several crashes while using it.
It theoretically streamlines AI app development, but my experience was frustrating due to the technical issues I faced.
The pre-built templates are a great time-saver. They make setting up AI applications much easier, especially for someone just getting started.
I found the documentation a bit lacking. Some of the features aren't explained in detail, which makes troubleshooting harder.
Phidata helps streamline the deployment process. It saves me time, but I still have to figure out some aspects on my own due to the documentation gaps.