Tag Archives: AWS

PowerProtect Data Manager Nov 2020 Update: What's New?

PowerProtect Data Manager Nov 2020 Update: What’s New?

Dell Technologies just announced enhancements to PowerProtect Data Manager available globally in November 2020!

Find out what’s new in the latest Dell EMC PowerProtect Data Manager!

 

PowerProtect Data Manager : What Is It?

Dell EMC PowerProtect Data Manager provides software-defined data protection, automated discovery, and deduplication for physical, virtual and cloud environments.

Its software-defined architecture allows for greater operational agility, and faster IT transformation, while delivering next-generation data protection.

 

PowerProtect Data Manager November 2020 Update : What’s New?

In its November 2020 update, PowerProtect Data Manager offers these new enhancements :

  • In-cloud workloads in Microsoft Azure and AWS are now protected
  • VMware Tanzu portfolio is now supported
  • Native vCenter Storage Policy-Based Management integrated for VM protection
  • VMware-certified solution to protect VMware Cloud Foundation infrastructure layer.
  • Protection for containerised apps with open source databases, including PostgreSQL and Apache Cassandra, in Kubernetes environments.
  • Customers can now protect Amazon Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS) to back-up Kubernetes cluster-level resources.

 

PowerProtect Data Manager November 2020 Update : Availability

The November 2020 enhancements are available globally with immediate effect.

 

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Amazon EC2 C5a Now Runs On 2nd Gen AMD EPYC!

AMD and Amazon just introduced Elastic Compute Cloud EC2 C5a instances that run on 2nd Gen AMD EPYC processors, promising better performance at lower costs!

 

Amazon EC2 C5a Now Runs On 2nd Gen AMD EPYC!

The new Amazon Elastic Compute Cloud EC2 C5a instances are powered by a 2nd Gen AMD EPYC processor running at up to 3.3 GHz.

These C5a instances are designed to deliver the best possible price-performance value for compute-intensive workloads like batch processing, distributed analytics, data transformations, log analytics and web applications.

In the beginning, Amazon will offer these eight EC2 C5a instances, which will cost 10% less than comparable instances.

EC2 C5a
Instance
vCPUs RAM EBS-Optimised
Bandwidth
Network
Bandwidth
c5a.large 2 4 GiB Up to 3.710 Gbps Up to 10 Gbps
c5a.xlarge 4 8 GiB Up to 3.710 Gbps Up to 10 Gbps
c5a.2xlarge 8 16 GiB Up to 3.710 Gbps Up to 10 Gbps
c5a.4xlarge 16 32 GiB Up to 3.710 Gbps Up to 10 Gbps
c5a.8xlarge 32 64 GiB 3.710 Gbps 10 Gbps
c5a.12xlarge 48 96 GiB 4.750 Gbps 12 Gbps
c5a.16xlarge 64 128 GiB 6.3 Gbps 20 Gbps
c5a.24xlarge 96 192 GiB 9.5 Gbps 20 Gbps

These instances are fully 64-bit x86 compatible, and managed by the same Nitro platform used across Amazon EC2, with similar sizes as C5 instances, and the AMIs work on either.

They will eventually add disk variants like C5ad (with fast, local NVMe instance storage) and bare metal variants like C5an.metal and C5adn.metal.

 

Amazon EC2 C5a (2nd Gen AMD EPYC) Availability

The new Amazon Elastic Compute Cloud EC2 C5a instances, powered by the 2nd Gen AMD EPYC, are available in these regions :

  • AWS US East : North Virginia, Ohio
  • AWS US West : Oregon
  • AWS Europe : Ireland, Frankfurt
  • AWS Asia Pacific : Sydney, Singapore

 

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The AWS Masterclass on Artificial Intelligence by Olivier Klein

Just before we flew to Computex 2017, we attended the AWS Masterclass on Artificial Intelligence. It offered us an in-depth look at AI concepts like machine learning, deep learning and neural networks. We also saw how Amazon Web Services (AWS) uses all that to create easy-to-use tools for developers to create their own AI applications at low cost and virtually no capital outlay.

 

The AWS Masterclass on Artificial Intelligence

AWS Malaysia flew in Olivier Klein, the AWS Asia Pacific Solutions Architect, to conduct the AWS Masterclass. During the two-hour session, he conveyed the ease by which the various AWS services and tools allow virtually anyone to create their own AI applications at lower cost and virtually no capital outlay.

The topic on artificial intelligence is rather wide-ranging, covering from the basic AI concepts all the way to demonstrations on how to use AWS services like Amazon Polly and Amazon Rekognition to easily and quickly create AI applications. We present to you – the complete AWS Masterclass on Artificial Intelligence!

The AWS Masterclass on AI is actually made up of 5 main topics. Here is a summary of those topics :

Topic Duration Remark
AWS Cloud and An Introduction to Artificial Intelligence, Machine Learning, Deep Learning 15 minutes An overview on Amazon Web Services and the latest innovation in the data analytics, machine learning, deep learning and AI space.
The Road to Artificial Intelligence 20 minutes Demystifying AI concepts and related terminologies, as well as the underlying technologies.

Let’s dive deeper into the concepts of machine learning, deep learning models, such as the neural networks, and how this leads to artificial intelligence.

Connecting Things and Sensing the Real World 30 minutes As part of an AI that aligns with our physical world, we need to understand how Internet-of-Things (IoT) space helps to create natural interaction channels.

We will walk through real world examples and demonstration that include interactions with voice through Amazon Lex, Amazon Polly and the Alexa Voice Services, as well as understand visual recognitions with services such as Amazon Rekognition.

We will also bridge this with real-time data that is sensed from the physical world via AWS IoT.

Retrospective and Real-Time Data Analytics 30 minutes Every AI must continuously “learn” and be “trained”” through past performance and feedback data. Retrospective and real-time data analytics are crucial to building intelligence model.

We will dive into some of the new trends and concepts, which our customers are using to perform fast and cost-effective analytics on AWS.

In the next two pages, we will dissect the video and share with you the key points from each segment of this AWS Masterclass.

Next Page > Introduction To AWS Cloud & Artificial Intelligence, The Road To AI

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The AWS Masterclass on AI Key Points (Part 1)

Here is an exhaustive list of key takeaway points from the AWS Masterclass on Artificial Intelligence, with their individual timestamps in the video :

Introduction To AWS Cloud

  • AWS has 16 regions around the world (0:51), with two or more availability zones per region (1:37), and 76 edge locations (1:56) to accelerate end connectivity to AWS services.
  • AWS offers 90+ cloud services (3:45), all of which use the On-Demand Model (4:38) – you pay only for what you use, whether that’s a GB of storage or transfer, or execution time for a computational process.
  • You don’t even need to plan for your requirements or inform AWS how much capacity you need (5:05). Just use and pay what you need.
  • AWS has a practice of passing their cost savings to their customers (5:59), cutting prices 61 times since 2006.
  • AWS keeps adding new services over the years (6:19), with over a thousand new services introduced in 2016 (7:03).
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Introduction to Artificial Intelligence, Machine Learning, Deep Learning

  • Artificial intelligence is based on unsupervised machine learning (7:45), specifically deep learning models.
  • Insurance companies like AON use it for actuarial calculations (7:59), and services like Netflix use it to generate recommendations (8:04).
  • A lot of AI models have been built specifically around natural language understanding, and using vision to interact with customers, as well as predicting and understanding customer behaviour (9:23).
  • Here is a quick look at what the AWS services management console looks like (9:58).
  • This is how you launch 10 compute instances (virtual servers) in AWS (11:40).
  • The ability to access multiple instances quickly is very useful for AI training (12:40), because it gives the user access to large amounts of computational power, which can be quickly terminated (13:10).
  • Machine learning, or specifically artificial intelligence, is not new to Amazon.com, the parent company of AWS (14:14).
  • Amazon.com uses a lot of AI models (14:34) for recommendations and demand forecasting.
  • The visual search feature in Amazon app uses visual recognition and AI models to identify a picture you take (15:33).
  • Olivier introduces Amazon Go (16:07), a prototype grocery store in Seattle.
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The Road to Artificial Intelligence

  • The first component of any artificial intelligence is the “ability to sense the real world” (18:46), connecting everything together.
  • Cheaper bandwidth (19:26) now allows more devices to be connected to the cloud, allowing more data to be collected for the purpose of training AI models.
  • Cloud computing platforms like AWS allow the storage and processing of all that sensor data in real time (19:53).
  • All of that information can be used in deep learning models (20:14) to create an artificial intelligence that understands, in a natural way, what we are doing, and what we want or need.
  • Olivier shows how machine learning can quickly solve a Rubik’s cube (20:47), which has 43 quintillion unique combinations.
  • You can even build a Raspberry Pi-powered machine (24:33) that can solve a Rubik’s cube puzzle in 0.9 seconds.
  • Some of these deep learning models are available on Amazon AI (25:11), which is a combination of different services (25:44).
  • Olivier shows what it means to “train a deep learning model” (28:19) using a neural network (29:15).
  • Deep learning is computationally-intensive (30:39), but once it derives a model that works well, the predictive aspect is not computationally-intensive (30:52).
  • A pre-trained AI model can be loaded into a low-powered device (31:02), allowing it to perform AI functions without requiring large amounts of bandwidth or computational power.
  • Olivier demonstrates the YOLO (You Only Look Once) project, which pre-trained an AI model with pictures of objects (31:58), which allows it to detect objects in any video.
  • The identification of objects is the baseline for autonomous driving systems (34:19), as used by Tu Simple.
  • Tu Simple also used a similar model to train a drone to detect and follow a person (35:28).

Next Page > Sensing The Real World, Retrospective & Real-Time Analysis

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The AWS Masterclass on AI Key Points (Part 2)

Connecting Things and Sensing the Real World

  • Cloud services like AWS IoT (37:35) allow you to securely connect billions of IoT (Internet of Things) devices.
  • Olivier prefers to think of IoT as Intelligent Orchestrated Technology (37:52).
  • Olivier demonstrates how the combination of multiple data sources (maps, vehicle GPS, real-time weather reports) in Bangkok can be used to predict traffic as well as road conditions to create optimal routes (39:07), reducing traffic congestion by 30%.
  • The PetaBencana service in Jakarta uses picture recognition and IoT sensors to identify flooded roads (42:21) for better emergency response and disaster management.
  • Olivier demonstrates how easy it is to connect an IoT devices to the AWS IoT service (43:46), and use them to sense the environment and interact with.
  • Olivier shows how the capabilities of the Amazon Echo can be extended by creating an Alexa Skill using the AWS Lambda function (59:07).
  • Developers can create and publish Alexa Skills for sale in the Amazon marketplace (1:03:30).
  • Amazon Polly (1:04:10) renders life-like speech, while the Amazon Lex conversational engine (1:04:17) has natural language understanding and automatic speech recognition. Amazon Rekognition (1:04:29) performs image analysis.
  • Amazon Polly (1:04:50) turns text into life-like speech using deep learning to change the pitch and intonation according to the context. Olivier demonstrates Amazon Polly’s capabilities at 1:06:25.
  • Amazon Lex (1:11:06) is a web service that allows you to build conversational interfaces using natural language understanding (NLU) and automatic speech recognition (ASR) models like Alexa.
  • Amazon Lex does not just support spoken natural language understanding, it also recognises text (1:12:09), which makes it useful for chatbots.
  • Olivier demonstrates that text recognition capabilities in a chatbot demo (1:13:50) of a customer applying for a credit card through Facebook.
  • Amazon Rekognition (1:21:37) is an image recognition and analysis service, which uses deep learning to identify objects in pictures.
  • Amazon Rekognition can even detect facial landmarks and sentiments (1:22:41), as well as image quality and other attributes.
  • You can actually try Amazon Rekognition out (1:23:24) by uploading photos at CodeFor.Cloud/image.
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Retrospective and Real-Time Data Analytics

  • AI is a combination of 3 types of data analytics (1:28:10) – retrospective analysis and reporting + real-time processing + predictions to enable smart apps.
  • Cloud computing is extremely useful for machine learning (1:29:57) because it allows you to decouple storage and compute requirements for much lower costs.
  • Amazon Athena (1:31:56) allows you to query data stored in Amazon S3, without creating a compute instance to do it. You only pay for the TB of data that is processed by that query.
  • Best of all, you will get the same fast results even if your data set grows (1:32:31), because Amazon Athena will automatically parallelise your queries across your data set internally.
  • Olivier demonstrates (1:33:14) how Amazon Athena can be used to run queries on data stored in Amazon S3, as well as generate reports using Amazon QuickSight.
  • When it comes to data analytics, cloud computing allows you to quickly bring massive computing power to bear, achieving much faster results without additional cost (1:41:40).
  • The insurance company AON used this ability (1:42:44) to reduce an actuarial simulation that would normally take 10 days, to just 10 minutes.
  • Amazon Kinesis and Amazon Kinesis Analytics (1:45:10) allows the processing of real-time data.
  • A company called Dash is using this capability to analyse OBD data in real-time (1:47:23) to help improve fuel efficiency and predict potential breakdowns. It also notifies emergency services in case of a crash.

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AWS Summit 2017 – What’s New In Amazon Web Services

On 18 April 2017, the One World Hotel was besieged by a massive crowd. One might have thought they were there for a rock concert. They were really there for the Amazon Web Services Summit 2017. Join us at AWS Summit 2017 and find out what’s new in Amazon Web Services!

 

The AWS Summit 2017

With 2 keynotes and over 20 technology sessions, the AWS Summit 2017 was a great opportunity for IT managers and professionals to get updated on the latest AWS services, and what they have in the pipeline.

The highlight of the AWS Summit 2017 was a 90-minute keynote by Adrian Cockcroft, Vice President of Cloud Architecture Strategy, Amazon Web Services.

Here are some key takeaways from his presentation :

  • Amazon Web Services is adding new capabilities on a daily basis, with over a thousand in 2016.
  • Amazon will introduce Lightsail, a simple VPS service, to the Singapore AWS Region in the next few weeks.
  • Amazon Athena allows you to quickly query data stored in S3, whether it is compressed and/or encrypted. It will also be available in the Singapore AWS Region in the next few weeks.
  • Amazon Connect is a cloud-based contact center solution that is available today. It leverages Amazon Lex for natural language understanding and automatic speech recognition, and AWS Lambda for data and business intelligence.[adrotate group=”2″]
  • AWS also announced the Amazon Aurora PostgreSQL-Compatible Edition service, which is currently in developer preview. It promises to offer several times better performance than a typical PostgreSQL database at 1/10th of the cost.
  • AWS Lambda just introduced support for Node.js 6.10 and C#, AWS Serverless Application Model and Environment Variables.
  • The existing AWS DDOS protection has been branded as AWS Shield. It protects all web applications from volumetric and state exhaustion attacks.
  • The new AWS Shield Advanced service is designed to protect enterprises against more sophisticated attacks. It includes advanced notifications and cost protection, as well as WAF (Web Application Firewall) at no additional cost.

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