Staying ahead in the cloud computing arena – New Straits Times

IT'S time of the year again where the cloud computing community from all over the world congregate at the Venetian Hotel in Las Vegas, US, for the Amazon Web Services (AWS) re:Invent 2019.

The yearly mega event is a learning conference by AWS for the global cloud computing community. This year, the event features keynote announcements, training and certification opportunities, access to more than 2,500 technical sessions, a partner expo, and after-hours events.

Sharing what Amazon has on the shelves for businesses - big or small - developers and also professionals, CEO Andy Jesse delivered a long but exciting keynote on the many benefits of cloud computing, plus AWS' new solutions to an huge audience of 65,000.

While facing fierce competition from rivals like Oracle, Google, Microsoft, Alibaba and IBM, AWS is confident of still leading the cloud computing market.

According to Gartner, AWS is still top vendor, owning nearly half of the overall public-cloud infrastructure market with 47.8 percent marhet share, leading by a wide margin Microsoft (15.5 percent), Alibaba (7.7 percent), Google (4 percent), and IBM (1.8 percent).

Here are all of AWS re:Invent Keynote Services Announcement Overview delivered by Jassy:

INFRASTRUCTURE INNOVATION

* AWS Outposts are fully managed and configurable racks of AWS-designed hardware that let customers run their workloads on premises and seamlessly connect with the broad array of AWS services in the cloud using the same operating model and infrastructure they currently useproviding for a truly consistent hybrid experience.

* AWS Local Zones is a new type of AWS infrastructure deployment that places AWS compute, storage, database and other select services closer to large population, industry, and IT centres. With the opening of a Local Zone in Las Vegas, LA-based customers, for example, can now run workloads in AWS that require single-digit millisecond latencies to end-users.

* AWS Wavelength enables developers to build applications that deliver single-digit millisecond latencies to mobile devices and users by deploying AWS compute and storage at the edge of the 5G network.

* AWS is collaborating with Verizon, Vodafone, KDDI, and SK Telecom to make 5G applications with single-digit millisecond latencies possible for wireless customers in the US, Europe, Japan, and Korea.

* AWS Fargate for Amazon EKS makes it easier than ever for customers to deploy, manage, and scale Kubernetes workloads on AWS.

SECURITY SOLUTIONS

* Amazon Detective is a new security service that makes it easy for customers to conduct faster and more efficient investigations into security issues across their workloads.

* AWS IAM Access Analyzer is a new AWS Identity and Access Management (IAM) capability that makes it simple for security teams and administrators to audit resource policies for unintended access.

* AWS Nitro Enclaves is a new Amazon EC2 capability that makes it easy for customers to process highly sensitive data by partitioning compute and memory resources within an instance to create an isolated compute environment.

SUPPLYING ANALYTICS

* Amazon Managed Cassandra Service is a scalable, highly available, and fully managed database service that supports Cassandra workloads.

* Amazon Redshift RA3 instances let customers scale compute and storage separately and deliver three times better performance than other cloud data warehouse providers.

* AQUA (Advanced Query Accelerator) for Amazon Redshift provides a new innovative hardware accelerated cache that delivers up to ten times better query performance than other cloud data warehouse providers.

* Amazon Redshift Data Lake Export allows customers to export data directly from

* Amazon Redshift to Amazon S3 in an open data format (Apache Parquet) optimised for analytics.

* Amazon Redshift Federated Query lets customers analyse data across Amazon Redshift data warehouse, Amazon Simple Storage Service (S3) data lake, and Amazon RDS and Aurora (PostgreSQL) databases.

* UltraWarm is a new warm storage tier for Amazon Elasticsearch Service at up to one-tenth the current cost that makes it easier for customers to retain any amount of current and historical log data.

COMPUTATIONAL CAPABILITIES

* Arm-based versions of Amazon EC2 M, R, and C instance families, powered by the new AWS-designed Graviton2 processors, deliver up to 40 per cent improved price or performance over comparable x86-based instances.

* Amazon EC2 Inf1 instance is a new Amazon EC2 machine learning instance, which features the AWS-designed Inferentia chips, and offers the fastest and lowest cost machine learning inference in the cloud.

* AWS Compute Optimizer is a machine learning-powered instance recommendation engine that makes it easy to choose the right compute resources.

* New AWS Transit Gateway capabilities, including support for native IP multicast protocol, integration with SD-WAN partners to enable easier and faster connectivity between customers branch offices and AWS, and provides a new capability to make it much easier to manage and monitor their global network from a single pane of glass.

* VPC Ingress Routing allows customers to easily deploy third-party appliances in their VPC for specialised networking and security functions.

MACHINE LEARNING CAPABILITIES

* AWS Contact Lens adds a set of capabilities for Amazon Connect enabled by machine learning that gives contact centres the ability to understand the sentiment, trends, and compliance of customer conversations to improve customer experience and identify crucial customer feedback.

* Amazon SageMaker Studio is the first fully Integrated Development Environment (IDE) for machine learning, delivering greater automation, integration, debugging, and monitoring for the development and deployment of machine learning models.

* Amazon SageMaker Notebooks allows developers to spin up elastic machine learning notebooks in seconds and automates the process of sharing notebooks with a single-click.

* Amazon SageMaker Experiments helps developers visualise and compare machine learning model iterations, training parameters, and outcomes.

* Amazon SageMaker Autopilot allows developers to submit simple data in CSV files and have machine learning models automatically generated, with full visibility to how the models are created so they can impact evolving them over time.

* Amazon SageMaker Debugger provides real-time monitoring for machine learning models to improve predictive accuracy, reduce training times, and facilitate greater explainability.

* Amazon SageMaker Model Monitor detects concept drift detection to discover when the performance of a model running in production begins to deviate from the original trained model.

ARTIFICIAL INTELLIGENCE SERVICES

* Amazon Kendra reinvents enterprise search by using natural language processing other machine learning techniques to unite multiple data silos inside an enterprise and consistently provide high quality results to common queries instead of a random list of links in response to keyword queries.

* Amazon CodeGuru helps software developers automate code reviews and identify an applications most expensive lines of code.

* Amazon Fraud Detector helps businesses identify online identity and payment fraud in real-time, based on the same technology developed for Amazon.com.

* Amazon Transcribe Medical offers healthcare providers highly accurate, real-time speech-to-text transcription, so they can focus on patient care.

* Amazon Augmented Artificial Intelligence (A2I) helps machine learning developers validate machine learning predictions through human confirmation.

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Staying ahead in the cloud computing arena - New Straits Times

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