The single-judge bench is yet to give its final order on the original Amazon petition as well. Recommended by Colombia. Analysts said the retailer's revenue performance was underwhelming despite near-normal operating conditions and significant commodity inflation.
A legal spat between Amazon. And neither side is ready to back off. Amazon says Future violated a partnership contract with the asset sale to its rival and wants to scuttle it, while the indebted Indian group says it would collapse if the transaction fails.
The Jeff Bezos-led e-tailer accuses Future and its founder Kishore Biyani of flouting an interim order in October from a Singapore arbitration court that halted the asset sale. Amazon also recently asked an Indian court to jail Biyani and has petitioned local regulators not to approve the Future-Reliance deal while the arbitration is underway.
Jeff Bezos-Mukesh Ambani spat is testing India's allure for foreign investors The rulings come after two big arbitration awards against India. Follow and connect with us on Twitter , Facebook , Linkedin , Youtube. Amazon Future Group.
At re:Invent , Amazon announced the availability of macOS instances in EC2 along with lots of other new features, covered below.
Unfortunately, instances powered by Apple Silicon M1 chips won't be available until sometime in Amazon announced a new product called Amazon Braket in December , which is a fully-managed quantum computing platform designed for building, testing and running quantum algorithms.
Braket left preview in mid and is now generally available. At AWS re:Invent , AWS chose not to announce much in the way of new services and features and instead concentrated on iterations and improvements to existing cloud services. According to an analysis by TechRepublic contributing writer Matt Asay, AWS seems to be trying to help customers make better use of what they already have.
Also announced was AWS Wavelength, a 5G edge computing service and Amazon SageMaker Canvas, a no-code module that uses a point-and-click interface to walk customers through the entire process of building and using a machine learning workflow.
AWS, like other cloud service providers, offers the ability to instantly provision computing resources on demand. Compared to the laborious task of planning and building on-site data center infrastructure, along with the requisite hardware upgrades, maintenance costs, server cooling requirements, electricity costs and use of floorspace — particularly for offices in urban centers with associated real estate costs — the savings can add up very quickly.
The benefit of AWS extends beyond cost. Managed services of AWS reduce the administrative burden of IT, freeing them to work on new projects rather than spending time on general system upkeep. For example, in RDS, the administrative console can be used to automatically apply security updates to the underlying software stack, as well as manage backups, snapshots, deployments in multiple availability zones and seamlessly replace an instance in the event of hardware failure.
Amazon has made AWS a leader in cloud-based machine learning. Since Amazon has added services like SageMaker, which rapidly trains machine learning models for faster deployment, and AWS DeepLens, a deep-learning enabled video camera. As the largest public cloud services provider, Amazon acts as a trendsetter for the industry.
Their purchasing power and scale gives them the ability to influence the industry at large. As part of this, Amazon's development of Arm-powered AWS Graviton CPUs is likely to result in an increased focus in open source on optimizations for server applications to harness the full power of the Arm architecture in a way in which smaller vendors would not be able to affect.
Practically any organization that uses computers has a use case applicable to a service provided by AWS. Even for the most basic uses--such as using S3 Glacier for offsite backups — AWS is a compelling alternative to traditional solutions. While AWS started as a cloud-based replacement for simple storage and compute operations, it has expanded to cover practically every use case imaginable, with targeted services for databases, IoT development, business productivity, messaging, game development, virtual desktops, analytics, machine learning and more.
Additionally, while established organizations likely have capital for traditional data center deployments, cash-strapped startups benefit from the absence of deployment costs and paying only for resources used, as opposed to paying for capacity provisioned, or being forced to pay for infrastructure hardware. Utilizing cloud service providers such as AWS also allows for scale as a company grows, as well as establishing cloud infrastructure early in its growth.
Of note, Amazon's largest brick-and-mortar competitor Walmart reportedly issued an ultimatum to suppliers and software vendors in to cease using AWS for their businesses, at the risk of losing business with the big box retailer. While Walmart has contributed to the open source OpenStack platform, the company is not requiring its partners to use cloud services from a particular vendor.
Since issuing that ultimatum Walmart has begun using Microsoft Azure, but the company has said it isn't abandoning its OpenStack investments as of July ; as of , the partnership between Microsoft and Walmart continues as well.
AWS launched in , though various services and geographic service regions have been added continually since launch. By April , one quarter of consumed energy was provided by renewable sources. It allows administrators to control scaling of multiple AWS products easily from one location.
At re:Invent , Andy Jassy revealed a laundry list of new AWS features , many of which revolve around the objective of automating the more tedious aspects of machine learning and data analytics. Other changes from re:Invent include AWS releasing Babelfish for PostgreSQL as an open source project, a change in Lambda billing increments from ms to 1ms, and changes to Amazon Connect to improve user experience with machine learning tools.
In much the same way that Amazon as an internet retailer is intended to be everything to everyone, so is AWS. While competing cloud services offer alternatives for general use cases of AWS, no competing cloud service has an exact replacement for every product included in AWS. In terms of scale, Google, Microsoft, Alibaba and IBM are certainly capable of handling any amount of data or compute tasks you can generate. For organizations looking to migrate from an on-premise SharePoint system, or with other deep dependencies on Microsoft products, Azure is likely the most compelling option for a seamless transition to the cloud.
Google Cloud Platform's core strengths are in machine learning, big data tools and extensive container support. Tech professionals interested in becoming an AWS engineer should head over to Amazon's AWS Certified DevOps Engineer certification portal to see what skills Amazon says are required in order to manage AWS instances, find out how to prep for the certification exam, see sample questions, or schedule an exam session.
TechRepublic previously covered skills that are essential for cloud engineers to master , and while the list does include AWS, it also mentions several programming languages, automation suites and analytics tools that are essential. In essence, AWS is a proprietary platform, but the basic skills needed to manage it are the same as any other cloud product.
Anyone who wants to learn more about the specifics of being an AWS engineer should check out the list of online courses that Amazon maintains in its AWS Training portal.
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