Based on our record, Google Cloud Functions seems to be a lot more popular than Spot.io. While we know about 47 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 / about 1 year 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 2 years ago
Also, you definitely should look into Reservations, and (sale pitch coming) Spot can help you manage those. Source: over 2 years 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: about 3 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: almost 4 years ago
Google Cloud Functions bases pricing on Invocations, runtime, and memory with competitive free tier options. - Source: dev.to / 24 days ago
Google Cloud Functions Google Cloud Functions is a scalable serverless execution environment for building and connecting cloud services. It provides triggers automatically, with out-of-the-box support for HTTP and event-driven triggers from GCP services. There are two types of Google Cloud Functions: API cloud functions and event-driven cloud functions. The API cloud functions are invoked from standard HTTP... - Source: dev.to / about 1 month ago
Ensure that the processing and throughput requirements of your AML/KYC solutions can handle appropriately sized volumes of data and transactions for your organization’s needs efficiently. A microservices architecture using tools like Docker or Kubernetes for proprietary systems can help to ensure scalability, allowing you to scale individual components as needed. Exploit load balancing and caching mechanisms to... - Source: dev.to / 10 months 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 / 10 months 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 / 12 months ago
Packer - Packer is an open-source software for creating identical machine images from a single source configuration.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.
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