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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
Amazon S3 Tables now support all Apache Iceberg V3 data types
Amazon S3 Tables now support all data types in the Apache Iceberg V3 specification. You can create V3 tables or upgrade existing V2 tables to take advantage of V3 features like deletion vectors, row lineage, and new data types such as variant, nanosecond timestamps, unknown, geometry, and geography. Apache Iceberg has become the open standard…
Amazon S3 Vectors now supports metadata pre-filtering for higher recall on filtered searches
Today, we’re announcing metadata pre-filtering for Amazon S3 Vectors, which delivers higher recall on filtered queries by evaluating your metadata filter before the similarity search. You can filter on attributes such as tenant, category, status, or time, and pre-filtering adds prefix matching with $startsWith for paths, URLs, and hierarchical keys. Each vector carries up to…
Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake
Today, we’re announcing a new capability for Amazon Aurora PostgreSQL that you can use to directly query operational data together with data stored in your data lake in Apache Iceberg and Apache Parquet formats, using your existing PostgreSQL applications and tools. By eliminating the need to extract, transform, and load (ETL) structured data from data…