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Amazon Web Services
Enables you to build serverless applications with Lambda, API Gateway, DynamoDB, Kinesis, Fargate, and the rest of the AWS serverless services.
Microsoft Azure
Enables you to build serverless applications with Functions, API Gateway, CosmosDB, Event Hub, and Azure Kubernetes Service (AKS).
Google Cloud Platform
Enables you to build serverless applications with Cloud Functions, Cloud Firestore, and Google Kubernetes Engine (GKE).
serverless microservices automation
Cloud News
From the blog
Automated model refresh with streaming data
Amazon Web Services FeedAutomated model refresh with streaming data In today’s world, being able to quickly bring on-premises machine learning (ML) models to the cloud is an integral part of any cloud migration journey. This post provides a step-by-step guide for launching a solution that facilitates the migration journey for large-scale ML workflows. This solution…
Using Amazon CloudWatch Lambda Insights to Improve Operational Visibility
Amazon Web Services FeedUsing Amazon CloudWatch Lambda Insights to Improve Operational Visibility To balance costs, while at the same time ensuring the service levels needed to meet business requirements are met, some customers elect to continuously monitor and optimize their AWS Lambda functions. They collect and analyze metrics and logs to monitor performance, and to…
Preparing data for ML models using AWS Glue DataBrew in a Jupyter notebook
Amazon Web Services FeedPreparing data for ML models using AWS Glue DataBrew in a Jupyter notebook AWS Glue DataBrew is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning (ML). In this post, we examine…