From Firestore Multiple Databases to IPv4 usage on AWS, from Pinecone serverless to Amazon Q Data Integration in AWS Glue, the news I covered for InfoQ in February.
Amazon Q Data Integration in AWS Glue Simplifies Data Transformation on AWS
Recently, AWS announced the preview of a new feature for AWS Glue, enabling customers to use natural language for authoring and troubleshooting data integration jobs. With Amazon Q data integration in AWS Glue, developers can provide a description of their data integration workload, and the service will generate an ETL script.
Google Introduces Firestore Multiple Databases
Google Cloud recently announced the general availability of Firestore Multiple Databases. The new feature is designed to isolate customer data and facilitate the management of microservices, as well as development, test, and staging environments.
Red Hat Enterprise Linux Modifies Pricing Model for Cloud Deployments
Red Hat has recently announced a revised pricing tied to vCPU count for Red Hat Enterprise Linux (RHEL) deployments across major cloud providers, including AWS, Azure, and Google Cloud. The updated pricing will be effective on April 1st and has sparked concerns among certain users.
Enhancing Observability: Amazon CloudWatch Logs Introduces Account-Level Subscription Filter
The recent update to Amazon CloudWatch Logs introduces support for account-level subscription filtering. With this enhancement, developers can now access a real-time feed of CloudWatch Logs from all logs groups and have it delivered to a single destination for further processing.
AWS Has Started Charging for Public IPv4 Usage
Since the beginning of February, AWS has been charging every public IPv4 address used by customers. While the 0.005 USD per hour charge might encourage developers to be more frugal with the usage of public IPv4 addresses, AWS is estimated to generate an extra annual revenue ranging between 400 million and 1 billion USD.
Pinecone Introduces its Serverless Vector Database
Pinecone recently announced the public preview of its new serverless vector database, designed to reduce infrastructure management costs while improving the accuracy of generative AI applications.