Aptible vs. Google Cloud Run

I would recommend Aptible Deploy to my colleagues because of its responsiveness and efficiency for environment and application provisioning. The product is extremely useful for creating health applications due to its built-in security and compliance protocols for HIPAA and HITRUST. The automated database backups were also a nice touch for failover scenarios, as is the included horizontal scaling. The horizontal scaling automatically defaults toward high availability as well.

Incentivized

Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.

Incentivized

• Provides insight to container security
• Provides insight to application security
• Shows your compliance and security score
• Gives you information on updates or changes you can make to improve security
• Gives you information on changes you can aid in meeting compliance requirements

• Auto scaling is the best one
• provide direct VPC connectivity and rigid network
• Cloud SQL and Pub/Sub services
• Handling latency issues

Incentivized

• Implement password-less CLI Auth flow
• Implement Single button full application tear down
• Provide demo application code for a wider array of technologies, frameworks
• Provide ability to deploy into existing network constraints of large organization

• The UI can be made simpler. Currently the UI is bloated and it takes time to find out what you want
• More integrations with container registry providers (ECR, dockerhub)
• Better permissions UX. Currently GCP requires service accounts to be used with cloud products, the experience adding/removing permissions is difficult to navigate

Incentivized

We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features

Incentivized

The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.

Incentivized

Not seen any major issues when we run applications its good

Incentivized

Initially we felt slow but slowly it picked up and easy to manage

Incentivized

I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical

Incentivized

Aptible makes managing HIPAA/HITRUST compliance simpler when compared to Microsoft Azure. Passing audits is technically easier when using Aptible. Aptible provides a log drain to deliver logs via Syslog or HTTPS for long-term log storage. Microsoft Azure does not have a portal specifying when controls are in place, something which Aptible does.

Incentivized

AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.

Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.

Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.

Incentivized

Not part of purchase.

Incentivized

It has good auto scale feature and reliable also

Incentivized

We have very good support when needed

Incentivized

• Less time in configuring servers. This is essentially a server-less platform.
• Cost savings by using usage-based cloud
• CLI can be scripted to provide full automation, even though a deployment takes about 20 minutes; that time can be even further reduced and spent elsewhere

• Built in support for auto scaling helps reduce operational overhead
• Any application performance issues can be addressed quickly by allocating more resources while a proper fix can be planned and rolled out later
• Using Google Cloud Run enables development of microservices which provides granular control for scaling critical services in the platform

Incentivized