Littelfuse has created a three pin magnetic switch that draws only 200nA and operates at up to 50Hz. Called LF21112TMR, the detector uses a combination of TMR (tunnelling magneto-resistance) sensing …

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Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS Asia Pacific (Hyderabad), Canada (Central) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances.

I7i instances offer the best compute and storage performance for x86-based storage optimized instances in Amazon EC2, ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets (multi-TBs). Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances also support real-time, high-resolution performance statistics for the NVMe instance store volumes attached to them. To learn more, visit the detailed NVMe performance statistics page .

I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth.
To learn more, visit the I7i instances page .

Amazon Keyspaces (for Apache Cassandra) now supports Logged Batches, enabling you to perform multiple write operations as a single atomic transaction. With Logged Batches, you can ensure that either all operations (INSERT, UPDATE, DELETE) within a batch succeed or none of them do, maintaining data consistency across multiple rows and tables within a keyspace. This capability is particularly valuable for applications that require strong data consistency, such as financial systems, inventory management, and user profile updates that span multiple data entities.

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so you pay for only the resources that you use and you can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.

Logged Batches in Amazon Keyspaces provide the same atomicity guarantees as Apache Cassandra while eliminating the operational complexity of managing transaction logs across distributed clusters. It’s designed to scale automatically with your workload and maintain consistent performance regardless of transaction volume. The feature integrates seamlessly with existing Cassandra Query Language (CQL) statements, allowing for adoption in both new and existing applications.

Logged Batches are available today in all AWS Commercial and AWS GovCloud (US) Regions where Amazon Keyspaces is available. You pay only for the standard write operations processed within each batch. To learn more about Logged Batches, please visit our blog post or refer to our Amazon Keyspaces documentation .

Mountpoint for Amazon S3 is now available in Amazon Linux 2023 (AL2023), simplifying how you get started and manage updates. Previously, you had to download the Mountpoint package from GitHub, install dependencies, and manually manage updates. Now, when using AL2023, you can install or update to the latest release of Mountpoint with a single command, and mount an Amazon S3 bucket.

Mountpoint for Amazon S3 is an open source project backed by AWS support, giving AWS Business and Enterprise Support customers 24/7 access to AWS cloud support engineers. To learn more and get started, visit GitHub , the Mountpoint overview page , the installation guide and AL2023 overview page .

Amazon Elastic Compute Cloud (Amazon EC2) C8gd instances are now available in Europe (London), and Canada (Central) AWS Regions. Additionally, M8gd instances are available in South America (Sao Paulo) and R8gd instances are available in Europe (London) AWS Region. These instances feature up to 11.4 TB of local NVMe-based SSD block-level storage and are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage.

Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the network and
Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes.

To learn more, see Amazon C8gd instances , M8gd instances , R8gd instances . To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton . To get started, see the AWS Management Console .

Starting today, the general-purpose Amazon EC2 M8a instances are available in US East (N. Virginia) and Asia Pacific (Tokyo) regions. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances.

M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements.

M8a instances are built using the latest sixth generation AWS Nitro Cards and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets.

To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 M8a instance page .

Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the Europe (Stockholm and Ireland) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.

U7i-6tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.

To learn more about U7i instances, visit the High Memory instances page .

Amazon CloudWatch now enables you to create more flexible alerting policies by triggering notifications when a specific subset of your monitored resources need attention. Using CloudWatch composite alarms, you can create a rule to take action only when a certain combination of alarms is activated. This enhancement lets you choose to receive alerts only when a certain number of resources are impacted, helping you focus on meaningful incidents.

The new threshold function in composite alarms allows you to eliminate unnecessary alerts for minor issues while ensuring quick notification of significant problems. IT operations teams can configure alerts to trigger when, for instance, at least two out of four storage volumes are running low on capacity, or when 50% of hosts in a cluster show high CPU utilization. The feature supports both fixed numbers and percentages, making it easy to maintain effective monitoring even as your infrastructure grows or changes.

This capability is now available in all commercial AWS regions , the AWS GovCloud (US) Regions, and the China Regions.

To create a threshold-based condition in a composite alarm, simply use the AT_LEAST function in the alarm’s condition. Composite alarms’ pricing applies, see CloudWatch pricing  for details. To learn more about the threshold function’s parameters, visit the Amazon CloudWatch documentation for composite alarms .

Amazon EC2 C6id instances are available in AWS Region Europe (Milan) and R6id instances are available in AWS Region Africa (Cape Town). These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage. C6id and R6id are built on AWS Nitro System , a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage to scale performance of applications such as video encoding, image manipulation, other forms of media processing, data logging, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics.

Customers can purchase the new instances via Savings Plans, Reserved, On-Demand, and Spot instances. To get started, visit AWS Command Line Interface (CLI) , and AWS SDKs . To learn more, visit our product pages for C6id and R6id .

AWS Parallel Computing Service (PCS) now supports Slurm CLI Filter plugins, enabling you to extend and modify how Slurm schedules and processes your high performance computing (HPC) workloads without modifying Slurm directly.

Using CLI Filter plugins, you can now define custom policies for job submission to your clusters. For example, you can define policies that verify certain flags or fields of jobs when users submit them, automatically reject jobs submitted without specific attributes, or even modify job parameters.

PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use PCS to build complete environments that integrate compute, storage, networking, and visualization. PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure.

This feature is now available in all AWS Regions where PCS is available. To learn more about using Slurm CLI Filter plugins with PCS, see the PCS User Guide .