Imagination is working with the Debian Project to accelerate development of the open source Debian operating system for its 64-bit MIPS processors. As part of its work with the project, Imagination is providing the project several MIPS64 processor based platforms, its calls SDNA-7130, for development and evaluation purposes. The SDNA-7130 (Software Defined Network Appliance) platforms …

Imagination goes with Debian OS for MIPS64 processors

ARM today announced the first multicore, 64-bit ARMv8-A processor test chip based on TSMC’s 10FinFET process technology. Simulation benchmarks show impressive power and efficiency gains relative to TSMC’s 16FinFET+ process technology, which is currently used to implement chips powering many of today’s leading premium smartphones. The successful validation of the test chip (tape out completed …

ARM multi-core v8 test chip fabbed on TSMC 10nm finfet process

IRT Nanoelec in Grenoble has integrated a III-V/silicon laser and silicon Mach Zehnder modulator to transmit at 25Gbit/s down a single 10km optical fibre, claiming this to be a first. “This transmission rate usually is achieved using an external source, over a 10km single-mode fibre,” said the R&D organisation, which is predicting increased bandwidth and reliability …

MEMS photonic integration opens door to 25Gbit/s

mindSHIFT Technologies says the intelligence in the Cisco/Cree PoE system will cut electricity consumption far more than ordinary LEDs would.

Starting today, you can use tags to manage and track your Amazon WorkSpaces. Tags let you categorize your Amazon WorkSpaces so you can easily identify their purpose and track costs accordingly. For example, you could use tags to identify all the Amazon WorkSpaces for a particular department, project, application, vendor, or use case. Once you have tagged your Amazon WorkSpaces, you can use the AWS Tag Editor console (starting in June 2016) to filter and search by specific tags, and obtain usage and cost details for particular tags by signing up to get your AWS account bill with tag key values included.

Amazon EC2 Container Service (Amazon ECS) can now automatically scale container-based applications by dynamically growing and shrinking the number of tasks run by an Amazon ECS service.

Starting today, you can share your Amazon Aurora snapshots with another AWS account, or make your snapshots publicly available. You can privately share your database snapshots with up to 20 AWS accounts by selecting “Share Snapshots” on the RDS console and choosing the “Private” option. You can also make your snapshot available to all AWS users by selecting the “Public” option. Access to the publically or privately shared snapshots can be revoked by you at any time. Recipient of a shared snapshot can copy it to their account, or restore it directly to an Aurora cluster.

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch on AWS. You can now add up to 20 data nodes and 5 dedicated master nodes to your Amazon Elasticsearch domains. The previous limit was a total instance count of 10 including both data nodes and dedicated master nodes. This effectively increases the maximum amount of data you can store in an Amazon Elasticsearch domain from 12 TB to 24 TB with i2.2xl instances and from 4 TB to 8 TB for EBS-backed domains. For more information, see Creating and Configuring Amazon ES Domains and Amazon Elasticsearch Service Limits in the Amazon Elasticsearch Service Developer Guide.

Amazon Kinesis Firehose, the easiest way to load streaming data into AWS, now supports configurable retry duration for ingesting data into Amazon Redshift. You can now configure your Firehose delivery streams to retry the Redshift COPY for any time period up to a maximum of 7200 seconds. If the Redshift COPY command fails for any reason, Amazon Kinesis Firehose re-tries the command for the duration of the retry period you specify.

We are excited to announce Amazon EC2 X1 instances. X1 instances extend the elasticity, simplicity, and cost savings of the AWS cloud to enterprise-grade applications with large dataset requirements. X1 instances are ideal for running in-memory databases like SAP HANA, big data processing engines like Apache Spark or Presto, and high performance computing (HPC) applications. X1 instances are certified by SAP to run production environments of the next-generation Business Suite S/4HANA, Business Suite on HANA (SoH), Business Warehouse on HANA (BW), and Data Mart Solutions on HANA on the AWS cloud.