Amazon Relational Database Service (Amazon RDS) for PostgreSQL and for MySQL now supports Multi-AZ deployment option with one primary and two readable standby database (DB) instances in Europe (Frankfurt) and Europe (Stockholm) Regions. This deployment option gives you up to 2x lower transaction commit latency, automated fail overs typically under 35 seconds, and readable standby instances.
Amazon MSK adds support for Apache Kafka version 3.1.1 and 3.2.0
Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Apache Kafka version 3.1.1 and 3.2.0 for new and existing clusters. Apache Kafka 3.1.1 and Apache Kafka 3.2.0 includes several bug fixes and new features that improve performance. Some of the key features include enhancements to metrics and the use of topic IDs. MSK will continue to use and manage Zookeeper for quorum management in this release for stability. For a complete list of improvements and bug fixes, see the Apache Kafka release notes for 3.1.1 and 3.2.0 .
AWS announces Amazon CodeWhisperer (Preview)
Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code in the integrated development environment (IDE). During preview, CodeWhisperer is available for Java, JavaScript, and Python programming languages. The service integrates with multiple IDEs, including JetBrains (IntelliJ, PyCharm, and WebStorm), Visual Studio Code, AWS Cloud9, and the AWS Lambda console.
AWS Direct Connect adds support for all AWS Local Zones in the United States
Today, AWS announced AWS Direct Connect support for all AWS Local Zones in the United States. Your network traffic now takes the shortest path between Direct Connect point of presence (PoP) locations and AWS resources running in Local Zones. This feature reduces the distance network traffic must travel, decreasing latency and helping make applications more responsive.
Amazon SageMaker Ground Truth now supports synthetic data generation
We are excited to announce that Amazon SageMaker Ground Truth now provides support so you can generate labeled synthetic data without collecting large amounts of real-world, manually labeled data. Amazon SageMaker provides two data labeling offerings, Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth. You can use both options to identify raw data (such as images, text files, and videos) and add informative labels to create high-quality training datasets for your machine learning (ML) models.
Virtual Private Cloud (VPC) support is generally available for SageMaker Ground Truth
Amazon SageMaker Ground Truth helps you build high-quality training datasets for your machine learning (ML) models. With SageMaker Ground Truth, you can use workers from Amazon Mechanical Turk, a vendor company that you choose, or your own private workforce to create labeled datasets for training ML models.
Top Ten Semiconductor Companies
Thanks to IC Insights for this one – the top ten chip companies:
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Aggressive Hike
The US Federal Reserve’s 75 basis points rate hike last week was the most aggressive since 1994. Designed to tackle the USA’s highest inflation rate in 40 years, the Fed is expected to raise by another 50-75 points next month meaning it will have raised rates by 2-2.25% this year. And there’s more to come. …
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ST claims new serial EEPROM class
ST claims to have developed a new class of serial EEPROM – a has Serial Page EEPROM – a 32Mbit, page-erasable memory. The architecture gives designers the ability to mix firmware management and flexible data storage in the same device. These devices are suitable for implementing all-in-one non-volatile memory in system designs for applications such …
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Intelligence processor gets smarter
SiFive has released the latest version of its SiFive Intelligence X280 processor, which introduces new features including scalability up to a 16-core cache-coherent complex, WorldGuard trusted protection, and an interface allowing for integration between the X280 vector unit and customer-designed external AI accelerators or other coprocessors, called VCIX (Vector Coprocessor Interface eXtension). Collectively, these enhanced features deliver scalability, …
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