Based on our record, Google Cloud Functions seems to be a lot more popular than Spot.io. While we know about 44 links to Google Cloud Functions, we've tracked only 1 mention of Spot.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
+1 In my previous stint, I had worked with Spot (https://spot.io/) as one of our vendors. Absolutely great product, amazing customer support and ability to take feature requests, or otherwise address our pain points quickly and effectively. - Source: Hacker News / 2 months ago
FWIW, I am also a big spot.io fan for our workload. During the holidays I run 30-50% spot instances and run 100% spot most of the year. Source: over 1 year ago
Also, you definitely should look into Reservations, and (sale pitch coming) Spot can help you manage those. Source: over 1 year ago
All of this is on spot-instances. We used spot.io (I believe the product is called "Ocean") and they basically took care of all the backend logic to make spot-instances available for the ECS cluster. Source: over 2 years ago
Does cloud provider matter? I would say/think so. Not just cloud provider, but further more, how you set it up, which begets cloud provider. Are you setting it up with only the aws cli? Or did you terraform it? Maybe you chose a particular terraform module or maybe you used eksctl. Maybe you used kops or kubeadm. All these things matter when you get to cluster autoscaling, tainting particular node types to... Source: about 3 years ago
Data-Driven Projects: Seamless integration with Google's data and AI/ML services (like Cloud Functions and Cloud SQL) streamlines development workflows for data-driven applications. - Source: dev.to / 3 days ago
The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / about 2 months ago
The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 2 months ago
One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 7 months ago
I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 9 months ago
Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Packer - Packer is an open-source software for creating identical machine images from a single source configuration.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.
AWS Lambda - Automatic, event-driven compute service