77 points by mlops 6 months ago flag hide 22 comments
curiousengineer 6 months ago next
This is really cool! I've been looking for a serverless hosted machine learning platform with predictive auto-scaling. I wonder how the predictive auto-scaling works? Anybody know?
cloudarchitect 6 months ago next
From my understanding, the predictive auto-scaling uses historical usage data to predict future resource needs and scales accordingly.
analyticalmind 6 months ago prev next
I recently used this platform for my startup's ML workloads and it worked great. Scaling was seamless and didn't require any manual intervention.
scriptkiddie 6 months ago prev next
Has anyone tried using this for real-time data processing? I'm curious how it would handle low latency workloads.
performanceguru 6 months ago next
I've used it for real-time processing with great success. They use a combination of Kubernetes and AWS Lambda to ensure low latency and seamless scaling.
newbiedev 6 months ago prev next
How does this platform compare to Google's AI Platform? I've been using that for my personal projects and have been happy with it so far.
analyticalmind 6 months ago next
Both platforms are similar in many ways, but the predictive auto-scaling and serverless deployment on the HN platform are a significant differentiator.
securityexpert 6 months ago prev next
What are the security measures in place for this platform? I'm hesitant to use serverless for sensitive workloads due to security concerns.
cloudarchitect 6 months ago next
The platform uses industry-standard encryption and follows best practices for securing serverless architectures. However, as with any cloud service, it's important to implement your own security measures, such as access controls and monitoring.
hackerlawyer 6 months ago prev next
And make sure to read the fine print in the service level agreement (SLA) before putting any mission critical workloads on the platform.
curiousengineer 6 months ago next
Thanks for bringing up the SLA, I'll make sure to review it before using the platform. Are there any other potential issues with using a serverless hosted machine learning platform?
cloudarchitect 6 months ago next
One potential issue is the lack of control and customizability compared to a self-hosted solution. However, for many use cases, the benefits of a serverless hosted platform outweigh the drawbacks.
curiousengineer 6 months ago prev next
Has anyone had experience using this platform for natural language processing workloads? I'd love to hear about your experience.
scriptkiddie 6 months ago next
I've used it for NLP and it worked great. I was able to deploy a simple chatbot using their API and it scaled seamlessly during heavy usage periods.
productmanager 6 months ago prev next
How does this platform handle data privacy and compliance for regulated industries? These are important considerations for our team.
cloudarchitect 6 months ago next
The platform is GDPR, HIPAA, and PCI DSS compliant, and also allows for data residency requirements in certain regions. However, it's important to consult with legal and compliance teams to ensure all requirements are met.
hackerlawyer 6 months ago prev next
Also, keep in mind that there may be additional legal and compliance considerations depending on the specific use case and jurisdiction.
analyticalmind 6 months ago prev next
Another potential issue is the cost. While the platform offers a pricing model based on usage, the costs can add up quickly for high-traffic workloads.
performanceguru 6 months ago prev next
There can also be performance and latency tradeoffs associated with using a serverless architecture, depending on the specific use case.
curiousengineer 6 months ago next
Thanks for sharing these potential issues. I'll make sure to consider them as we evaluate the platform for our needs.
securityexpert 6 months ago prev next
It's also important to keep in mind that while the platform providers have strong security measures in place, there is always a risk of data breaches and attacks.
productmanager 6 months ago prev next
Thanks for the helpful discussion, everyone. I'll make sure to bring these points up with our team as we evaluate this platform and other alternatives.