cinnaroll.ai
Iguazio
Databricks
Amazon SageMaker
Weights & Biases
Dataiku
Comet.ml
Kubeflow
Microsoft Azure Functions
Google App Engine
Amazon S3
AWS Elastic Beanstalk
AWS Lambda
Docker
Apache Karaf
Cisco CloudCenter
cinnaroll.aiBased on our record, Microsoft Azure Functions seems to be more popular. It has been mentiond 20 times since March 2021. 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.
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 / 8 days ago
Serverless technology helps React Native developers create more robust, adaptable, and efficient mobile applications that meet the demands of today's dynamic digital landscape. By seamlessly integrating cloud functions from providers like AWS Lambda or Azure Functions, developers can tap into a world of possibilities to enrich their mobile apps. - Source: dev.to / 7 months ago
Azure Functions: Here’s the official Azure Functions product page, where you can learn about the features, benefits, and pricing of Microsoft’s serverless computing service. - Source: dev.to / 10 months ago
UNIX is irrelevant on the cloud, unless one is stuck deploying legacy workloads on VMs, this is what we use in modern applications not stuck in the past. https://aws.amazon.com/eks/ https://azure.microsoft.com/en-us/products/kubernetes-service https://cloud.google.com/kubernetes-engine/ https://cloud.google.com/appengine https://azure.microsoft.com/en-us/products/app-service https://aws.amazon.com/lambda/... - Source: Hacker News / about 1 year ago
Microsoft recently announced the general availability of the .NET 7 for Azure Functions isolated worker process. Azure Functions will support .NET 7 serverless apps hosted on all Windows and Linux SKUs, including Consumption plan, Elastic Premium plan, and App Service plans. More details: https://www.infoq.com/news/2022/11/azure-functions-dotnet-7/. Source: over 1 year ago
Iguazio - Iguazio is a platform that allows users to bring their data science to life, and it automates the MLOps with end-to-end machine learning pipelines while transforming AI projects into the real world.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
AWS Elastic Beanstalk - Quickly deploy and manage applications in the AWS cloud.