Amazon cloud who is using it

The firm decided to do this after discovering that the main reason for people leaving its website was due to error pages. Expedia wanted customers to get around its websites quickly and without running into any issues. Using a range of AWS solutions, Expedia claims that it has become more resilient, has the ability to develop new applications faster and can save millions in the process.

Airbnb, a community rental marketplace for property owners and travellers, lists more than 7 million accommodations and is a long-time user of AWS. Catering for millions of customers globally, the firm has continued to invest in AWS solutions as it has grown rapidly in the past few years. Currently, it has Amazon Elastic Compute Cloud instances to manage its core application, memcache and search servers; Elastic Load Balancing for handling incoming traffic between these servers; Amazon Elastic MapReduce for processing and disseminating data; Amazon Simple Storage Service for backups and static files; and Amazon CloudWatch.

When it comes to any aspect of its business, Apple is pretty secretive. By now, you should have a better understanding of who uses AWS and how. However, what else sets AWS apart?

Here are some interesting statistics about the cloud platform. Developers are an important demographic for AWS. According to Statistica, AWS also operates a large partner network, which is comprised of over 8, businesses that can help customers implement and build applications on the platform. Clearly, AWS has achieved some big milestones in recent years. But what other statistics should you know? Figures from Statistica show that AWS currently has a market share of For many different organisations, the use of AWS is evidently widespread.

The opportunity here is huge. If a small amount of data is stored and retrieved not very often, AWS is happy not to charge anything at all. But if you've already deployed a Web app that has multiple users, and in the course of using this app, these users all access data stored in an S3 bucket, that's likely to incur some charges. Database queries, such as retrieving billing information or statistics, will be charged very differently from downloading a video or media file.

If AWS were to charge one flat fee for data retrieval — say, per megabyte downloaded — then with the huge difference in scale between a spreadsheet's worth of tabular data and a p video, no one would want to use AWS for media.

So S3 assumes that the types of objects that you'll store in buckets will determine the way those objects will be used "consumed" by others, and AWS establishes a fee for the method of use. Here's where Amazon adds a third turnstile to the data model: by offering database engines capable of utilizing the data stored in S3 buckets. An AWS database engine is a specialized instance type: a VM image in which the database management system is already installed.

Any application that can interface with a database in one of these formats, even if it wasn't written for the cloud to begin with, can be made to run with one of these services. AWS' own relational design is called Aurora. It's a unique database architecture built around and for S3.

As Amazon CTO Werner Vogels explained in a blog post , rather than construct database tables as pages and build logs around them to track their history, Aurora actually writes its database as a log. What appear to users to be page tables are actually reconstructions of the data, by way of the instructions stored in the logs, which are themselves stored redundantly.

Since data is always being reconstructed as a matter of course, any loss of data is almost instantaneously patched, without the need for a comprehensive recovery plan. In the case of severe loss, such as an entire volume or "protection group," repairs are accomplished by way of instructions gleaned from all the other groups in the database, or what Vogels calls the "fleet. Standing up a "big data" system, such as one based on the Apache Hadoop or Apache Spark framework, is typically a concentrated effort on the part of any organization.

Though they both refrain from invoking the phrase, both Spark and Hadoop are operating systems, enabling servers to support clusters of coordinated data providers as their core functionality.

So any effort to leverage the cloud for a big data platform must involve configuring the applications running on these platforms to recognize the cloud as their storage center. AWS Redshift approaches this issue by enabling S3 to serve as what Hadoop and Spark engineers call a data lake — a massive pool of not-necessarily-structured, unprocessed, unrefined data.

Some engineers have since found S3 actually preferable to HDFS, and some go so far as to argue S3 is more cost-effective. Apache Hadoop now ships with its own S3 connector, enabling organizations that run Hadoop on-premises to leverage cloud-based S3 instead of their own on-premises storage.

In a big data framework, the operating system clusters together servers, with both their processing and local storage, as single units. So scaling out processor power means increasing storage; likewise, tending to the need for more space for data means adding CPUs. AWS' approach to stationing the entire big data framework in the cloud is not to correlate Spark or Hadoop nodes as unaltered virtual machines, but instead deploy a somewhat different framework that manages Hadoop or Spark applications, but enable S3-based data lakes to become scalable independently.

Kinesis leverages AWS' data lake components to stand up an analytics service — one that evaluates the underlying patterns within a data stream or a time series, make respectable forecasts, and draw apparent correlations as close to real-time as possible. So if you have a data source such as a server log, machines on a manufacturing or assembly line, a financial trading system, or in the most extensive example, a video stream, Kinesis can be programmed to generate alerts and analytical messages in response to conditions that you specify.

The word "programmed" is meant rather intentionally here. Using components such as Kinesis Streams, you do write custom logic code to specify those conditions that are worthy of attention or examination. By contrast, Kinesis Data Firehose can be set up with easier-to-explain filters that can divert certain data from the main stream, based on conditions or parameters, into a location such as another S3 bucket for later analysis.

One very important service that emerges from the system that makes ECS possible is called Lambda, and for many classes of industry and academia, it's already significantly changing the way applications are being conceived.

Lambda advances a principle called the serverless model, in which the cloud server delivers the functions that an application may require on a per-use basis only, without the need for pre-provisioning.

For instance, if you have a function that analyzes a photograph and isolates the portion of it that's likely to contain the image of a human face, you can stage that function in Amazon's cloud using the serverless model. You're not being charged for the VM or the container hosting the function, or any of the resources it requires; rather, AWS places its "turnstile" at the point where the function renders its result and terminates. So you're charged a flat fee for the transaction.

Although Amazon may not have had the idea for the serverless model, Lambda has advanced that model considerably. Now developers are reconsidering the very nature of application architecture , with the end result being that an entirely new economy may emerge around fluid components of functionality, as opposed to rigid, undecipherable monoliths. As Microsoft so often demonstrated during its reign as the king of the operating system, if you own the underlying platform, you can give away parts of the territory that floats on top of it, secure in the knowledge that you own the kingdom to which those islands belong.

In founding the market for virtualization, VMware set about to relocate the seat of power in the data center kingdom to the hypervisor. And in drawing most of the map for the public cloud market, Amazon tried to relocate it to the EC2 instance. Both efforts have yielded success.

But Kubernetes, as an open source orchestrator of container-based applications, sought to plant a bomb beneath that seat of power, by effectively democratizing the way new classes of applications were created and deployed. It was Google's idea , though with just the right dosage of benevolence, Docker would step aside, bowing graciously, and even Microsoft would contribute to the plan. AWS' managed Kubernetes service, called EKS and launched in July , represents Amazon's concession to the tides of history, at least for this round.

This way, EKS can provide management services over the infrastructure supporting a customer's Kubernetes deployment, comparable to what Google Cloud and Azure offer. The provisioning of clusters can happen automatically. That last sentence doesn't have much meaning unless you've read tens of thousands of pages of Kubernetes documentation, the most important sentence from which is this: You can pick a containerized application, tell EKS to run it, then EKS will configure the resources that application requires, you sign off on them, and it runs the app.

So if you have, say, an open source content management system compiled to run in containers, you just point EKS to the repository where those containers are located and say "Go.

Kyndryl and Microsoft forge cloud, digital transformation partnership. Freshworks expands into IT operations management running its familiar playbook. Xero posts half-year net loss as investment in product development grows. Workday adds scheduling, labor optimization tools for frontline workers. It is also beneficial for startups as it provides tools for a business to build itself from the ground up with the cloud.

It also provides a low cost transition service to already existing companies so that they can move their existing infrastructure seamlessly to the Amazon Web Services servers. The service is made up of a host of different cloud computing products.

It provides servers, storage, networking, remote computing, email, mobile development, and security to its customers. It offers three umbrellas of services:.

The cloud service has divided its services in 76 availability zones where its servers are located. This allows users to set geographical limits on their products and services and also provides additional security by providing a host of different physical locations for the data.

AWS currently offers its services to countries and territories. AWS has a hoard of different data centers scattered across the globe. The centers keep a continuous eye on the data and strictly maintain it. The service has also given the visibility risk of these data centers some thought.

The centers are in remote locations, hidden away as much as possible with access only to essential personnel. From a start up to a Fortune company, every business has the option to customize a spot for themselves on the cloud. Here we have a list of the 15 biggest companies that use Amazon Web Services.

These companies have been ranked by their total revenue. The listings and the customer portfolios have been compiled from the websites Continio, Investopedia and the Digital Dimensions. The multinational company develops enterprise software to manage business operations and customer relations.

The Times of India has called it "the third-biggest software company in the world. Tata Motors is the biggest automobile manufacturing company in India. It was founded in and is headquartered in Mumbai, Maharashtra, India. It is part of the Indian Conglomerate Tata Group. Tata Motors manufactures cars, vans, coaches, trucks, buses, sports cars, military and construction vehicles and equipment.

The Swiss multinational pharmaceutical company is based in Basel, Switzerland. It was founded in in Brooklyn. The company develops and produces a variety of vaccines and medications for different medical disciplines like oncology, cardiology, immunology, neurology and endocrinology.

It has also developed a test vaccine to prevent the corona virus pandemic. The vaccine has so far been successful in its trial run. UL ranks eleventh in our list of companies that use AWS. Headquartered in London, England, the consumer goods company produces a variety of different products including but not limited to confections, energy drinks, baby food, soft drink, ice cream, cleaning agents, pet food, beauty products, personal care, breakfast cereals, pharmaceutical and consumer healthcare products.

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