OpsCenter – A New Feature to Streamline IT Operations

The AWS teams are always listening to customers and trying to understand how they can improve services to make customers more productive. A new feature in AWS Systems Manager called OpsCenter exemplifies this approach by enabling customers to aggregate issues, events and alerts, across services. So customers can go to one place to view, investigate, and remediate issues reducing the need to navigate across multiple different AWS services.
Issues, events and alerts appear as operations items (OpsItems) in this new console and provide contextual information, historical guidance, and quick solution steps. The feature aims to improve the mean time to resolution, making engineers more productive by ensuring key investigation data is available in one place.
Engineers working on an OpsItem get access to information such as:
Event, resource and account details
Past OpsItems with similar characteristics
Related AWS Config changes and relationships
AWS CloudTrail logs
Amazon CloudWatch

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EC2 Instance Update – Two More Sizes of M5 & R5 Instances

When I introduced the Nitro system last year I said:

The Nitro system is a rich collection of building blocks that can be assembled in many different ways, giving us the flexibility to design and rapidly deliver EC2 instance types with an ever-broadening selection of compute, storage, memory, and networking options. We will deliver new instance types more quickly than ever in the months to come, with the goal of helping you to build, migrate, and run even more types of workloads.

Today I am happy to make good on that promise, with the introduction of two additional sizes of the Intel and AMD-powered M5 and R5 instances, including optional NVMe storage. These additional sizes will make it easier for you to find an instance size that is a perfect match for your workload.
M5 Instances These instances are designed for general-purpose workloads such as web servers, app servers,

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New – UDP Load Balancing for Network Load Balancer

The Network Load Balancer is designed to handle tens of millions of requests per second while maintaining high throughput at ultra low latency, with no effort on your part (read my post, New Network Load Balancer – Effortless Scaling to Millions of Requests per Second to learn more).
In response to customer requests, we have added several new features since the late-2017 launch, including cross-zone load balancing, support for resource-based and tag-based permissions, support for use across an AWS managed VPN tunnel, the ability to create a Network Load Balancer using the AWS Elastic Beanstalk Console, support for Inter-Region VPC Peering, and TLS Termination.
UDP Load Balancing Today we are adding support for another frequent customer request, the ability to load balance UDP traffic. You can now use Network Load Balancers to deploy connectionless services for online gaming, IoT, streaming, media transfer, and native UDP applications. If you are hosting

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Amazon Managed Streaming for Apache Kafka (MSK) – Now Generally Available

I am always amazed at how our customers are using streaming data. For example, Thomson Reuters, one of the world’s most trusted news organizations for businesses and professionals, built a solution to capture, analyze, and visualize analytics data to help product teams continuously improve the user experience. Supercell, the social game company providing games such as Hay Day, Clash of Clans, and Boom Beach, is delivering in-game data in real-time, handling 45 billion events per day.
Since we launched Amazon Kinesis at re:Invent 2013, we have continually expanded the ways in in which customers work with streaming data on AWS. Some of the available tools are:
Kinesis Data Streams, to capture, store, and process data streams with your own applications.
Kinesis Data Firehose, to transform and collect data into destinations such as Amazon S3, Amazon Elasticsearch Service, and Amazon Redshift.
Kinesis Data Analytics, to continuously analyze data using SQL or Java (via Apache

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Sound United Enters Agreement to Acquire Onkyo Home Audio

In a major move that’s sure to reverberate through the entire AV industry, Sound United has entered a “term sheet” agreement to acquire Onkyo Home Audio. If the deal goes through, that brings Onkyo, Integra, Pioneer and Pioneer Elite brands under the same roof as Denon, Polk Audio, Marantz, Definitive technology, HEOS, Classé and Boston Acoustics.
This preliminary agreement sets the stage for negotiations to close the deal. If it goes down, current Sound United CEO Kevin Duffy will be the CEO of the whole operation.
“We are thrilled by the opportunity to add the venerable Onkyo and Pioneer brands to our portfolio. Sound United is one of the leading dedicated providers of premium audio/video products, and we believe the combined businesses will bring unrivaled innovation and sound performance to our consumers and channel partners,” said Kevin Duffy. “Upon completion of the transaction, we will work tirelessly with the consumer audio division

Original URL: https://www.avsforum.com/sound-united-enters-agreement-acquire-onkyo-home-audio/

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New – Amazon S3 Batch Operations

AWS customers routinely store millions or billions of objects in individual Amazon Simple Storage Service (S3) buckets, taking advantage of S3’s scale, durability, low cost, security, and storage options. These customers store images, videos, log files, backups, and other mission-critical data, and use S3 as a crucial part of their data storage strategy.
Batch Operations Today, I would like to tell you about Amazon S3 Batch Operations. You can use this new feature to easily process hundreds, millions, or billions of S3 objects in a simple and straightforward fashion. You can copy objects to another bucket, set tags or access control lists (ACLs), initiate a restore from Glacier, or invoke an AWS Lambda function on each one.
This feature builds on S3’s existing support for inventory reports (read my S3 Storage Management Update post to learn more), and can use the reports or CSV files to drive your batch operations.

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In the Works – EC2 Instances (G4) with NVIDIA T4 GPUs

I’ve written about the power and value of GPUs in the past, and I have written posts to launch many generations of GPU-equipped EC2 instances including the CG1, G2, G3, P2, P3, and P3dn instance types.
Today I would like to give you a sneak peek at our newest GPU-equipped instance, the G4. Designed for machine learning training & inferencing, video transcoding, and other demanding applications, G4 instances will be available in multiple sizes and also in bare metal form. We are still fine-tuning the specs, but you can look forward to:
AWS-custom Intel CPUs (4 to 96 vCPUs)
1 to 8 NVIDIA T4 Tensor Core GPUs
Up to 384 GiB of memory
Up to 1.8 TB of fast, local NVMe storage
Up to 100 Gbps networking
The brand-new NVIDIA T4 GPUs feature 320 Turing Tensor cores, 2,560 CUDA cores, and 16 GB of memory. In

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Now Available – Five New Amazon EC2 Bare Metal Instances: M5, M5d, R5, R5d, and z1d

Today we are launching the five new EC2 bare metal instances that I promised you a few months ago. Your operating system runs on the underlying hardware and has direct access to the processor and other hardware. The instances are powered by AWS-custom Intel® Xeon® Scalable Processor (Skylake) processors that deliver sustained all-core Turbo performance.
Here are the specs:
Instance Name
Sustained All-Core Turbo
Logical Processors
Local Storage
EBS-Optimized Bandwidth
Network Bandwidth
Up to 3.1 GHz
384 GiB

14 Gbps
25 Gbps
Up to 3.1 GHz
384 GiB
4 x 900 GB NVMe SSD
14 Gbps
25 Gbps
Up to 3.1 GHz
768 GiB

14 Gbps
25 Gbps
Up to 3.1

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New for AWS Lambda – Use Any Programming Language and Share Common Components

I remember the excitement when AWS Lambda was announced in 2014! Four years on, customers are using Lambda functions for many different use cases. For example, iRobot is using AWS Lambda to provide compute services for their Roomba robotic vacuum cleaners, Fannie Mae to run Monte Carlo simulations for millions of mortgages, Bustle to serve billions of requests for their digital content.
Today, we are introducing two new features that are going to make serverless development even easier:
Lambda Layers, a way to centrally manage code and data that is shared across multiple functions.
Lambda Runtime API, a simple interface to use any programming language, or a specific language version, for developing your functions.
These two features can be used together: runtimes can be shared as layers so that developers can pick them up and use their favorite programming language when authoring Lambda functions.
Let’s see how they work more in detail.
Lambda Layers
When building serverless applications, it

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