Current and Future Technology Used by AWS

Hermione at Pangea.ai
Peace Akinwale
Published: 04.11.2022

Amazon pioneered the cloud computing technology, Amazon Web Services (AWS), in 2006. Back in 1999, when the company launched Merchant.com, an e-commerce service, it was a move to expand beyond books and help third-party merchants like Target and Marks & Spencer create online shopping engines on Amazon – but it took a lot of work to serve its retail customers.

Amazon developers needed to rewrite swatches of computer codes to add new applications, which was too complex for a potential cloud computing service. Merchant.com also failed because there was an inadequate plan to accommodate the future, and it was complex, at the time, to build an external development platform for small and large businesses.

Amazon’s ultimate goal was to build a centralized development platform, and it started hiring more software developers early in the decade. They later created AWS, an IT infrastructure service for small businesses, eliminating the need to build an independent database to save files and analyze business data.

An image showing the portfolio of AWS's in-demand tools for present and future cloud computing services.

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AWS allowed businesses to outsource their cloud storage and computing needs. Amazon became the first to market modern cloud infrastructure, and the industry won’t have Google (App Engine) and Microsoft (Windows Azure) until November 2011 and 2013, respectively.

AWS: The Technology of the Now

The cloud has transitioned from science fiction to science fact, says Dr. Werner Vogels, the VP and Chief Technology Officer (CTO) of Amazon. An Earthweb study backs this up by revealing that 94% of companies use cloud computing in all operations, and Statista data shows that AWS takes 33% of the market share. Its closest competitor takes 21%, a twelve percent margin. What are the present AWS technologies fueling this growth?

A Mix of IaaS, PaaS, and SaaS

Infrastructure as a service (IaaS), Platform as a service (PaaS), and software as a service (SaaS) equip organizations with content delivery services, database storage, and computing power. Here's how they work:

  • IaaS allows large-scale computing needs, and companies get to rent web space to run their web apps.
  • PaaS, on the other hand, is usually used during the mobile app development phase as it allows developers to build custom software established on AWS’s cloud app development framework. It also has unlimited storage and a database.
  • SaaS allows users to access AWS's cloud services, enabling them to perform their digital services without building a distinct IT infrastructure to accommodate them.

This mix of IaaS, PaaS, and SaaS makes AWS a choice for many businesses as it meets all IT infrastructural needs.

Database and Data Management

Your business cannot exist without a database, so AWS is developed with data management services that cover your needs. One such is the Amazon Aurora, a MySQL and PostgreSQL-compatible relational database engine which helps you build apps on its sophisticated commercial databases.

The Amazon DynamoDB, a document, and key-value database management tool, provides single-character milliseconds performance while running your apps. It’s built to manage as many as 10 trillion daily requests and support 20 million requests each second, making it a helpful data manager for companies like Toyota, Lyft, and Airbnb.

The Amazon ElastiCache improves the performance of web apps through in-memory caches, which helps you retrieve information and manage them faster than you would in a slower disk-based database. It’s powered by two open-source in-memory caching engines: Redis (an in-memory key-value data store) and Memcached (an object caching system).

Another database manager is Amazon Redshift, which makes business intelligence easier to conduct. Others include

  • Amazon Keyspaces (a serverless resource to build apps).
  • Amazon Neptune (to manage highly connected datasets while building and running apps).
  • Amazon Quantum Ledger Database (Amazon QLDB, to record your organization's economic and financial history).

Developer Tools

AWS command-line tools and development kits like AWS CloudShell are used to manage applications and services. The proprietary code interface is the AWS Command Line Interface, and developers can use PowerShell to manage cloud services from Linux, Mac, and Windows. They can also use the AWS Serverless Application Model to stimulate the storage environment and run codes from all AWS services.

The available languages, including C++, PHP, Java, Node.js, Ruby, and Python, make it versatile to develop, manage, and monitor your apps. Amazon Cognito, another developer tool, helps you supervise user access, send push notifications, and study customer interaction with your app.

Big Data Management

Big data are known as data sets too complex to analyze and understand through customary data-processing software. They can come from customer databases, medical records, transaction processing systems, internet clickstream logs, mobile apps, and documents.

Big data often have varieties, and failing to analyze them efficiently may cost your business. It would be best if you had efficient analytics to understand and organize them. Some of the tools from AWS technology include

  • Amazon EMR (to process large data sets)
  • Amazon Kinesis (to process and analyze data)
  • AWS Glue (to extract, transform, and load jobs)
  • Amazon Elasticsearch Service (to monitor and analyze tasks with Elasticsearch open-source tool)
  • Amazon Athena (to assist analysts query data) and
  • Amazon QuickSight (to help with data visualization).

Artificial Intelligence

AI is an intricate part of modern businesses to automate many manual activities. AWS has a comprehensive AI portfolio that cuts across

  • Voice and text chatbot technology through Amazon Lex
  • Text-to-speech translation through Amazon Polly
  • Image and facial analysis through Amazon Rekognition
  • Essential texts extraction from documents through Amazon Textract
  • Enhanced website and application searches through Amazon Kendra
  • End-to-end business prediction models through Amazon Forecast, and
  • Predictive maintenance for your equipment through Amazon Lookout for Equipment.

Aside from the above, the AWS deep learning machine allows developers to build and train custom AI models to serve business needs. Developers can do this through AWS’s Apache MxNet and TensorFlow deep learning frameworks.

There’s also virtual assistant integration for consumers, which helps businesses operate better without worrying about scaling their customers' support services alone. For example, the Alexa Voice helps your customers find what they’re looking for through voice commands, and you can also build a custom voice assistant through Alexa Skills Kit.

Augmented Reality (AR) and Virtual Reality (VR)

A photo of a woman visualizing AR and VR technology.

The AR and VR portfolios are developed through AWS Simplify and Babylon.js. AWS Simplify allows developers to host and deploy their apps, while Babylon.js allows users to customize AR and VR apps without programming or 3D graphics expertise. It’s used for 3D web, e-commerce, sales, marketing, online education, and manufacturing apps.

Game Development

Mega gaming companies use AWS for their game’s lifecycle, and examples include Ubisoft, Rovio, Supercell, Red 5 Studios, SEGA, and Neowiz Games. These companies use AWS for its scalability, high-end performance, reliability, and accessibility to a flexible infrastructure to deliver many games, reduce server costs, and increase quick download times for global users.

The Migration and Hybrid Cloud

AWS users can also migrate apps, servers, databases, and data to the public cloud through its various tools. In particular, the AWS Migration Hub helps monitor the procedure, while the EC2 Simple Systems Manager allows your business's IT team to construct on-premises servers. After all, data is an integral part of app deployment, workflow analytics, and machine learning innovations.

True to its purpose, Amazon's technological innovation is helping small businesses build their footprint in the e-commerce world. Now, what does the future of AWS look like?

Predictions on the Future of AWS

Dr. Vogels, VP, and CTO of Amazon, recently mentioned that AI will now support software development, and sustainability strategies will have their architecture. He adds that the rise in internet connectivity will lead to an exclusive set of class apps to sponsor the versatility of the new tech. What's AWS's role in this?

As technology transitions to IoT, AWS's reputation of storing large chunks of unstructured data and serving it effortlessly is now of value for Nokia. Nokia vs. AWS partnership will see AWS helping to integrate cloud computing with remote sensors and devices to improve internet communication between them. This will enable efficient predictive analytics for IoT systems and help businesses meet customers' needs.

Meta's PyTorch is also of significant value as its partnership with AWS will improve how developers build, train, deploy and operate machine learning and artificial intelligence models. The goal is to help companies pursue large-scale AI & machine learning training jobs while integrating deep learning models to improve product research and manufacturing.

Meta, in a long-term collaboration with AWS, will improve its support for third-party and open-source communities at a large scale, says Kathrin Renz, VP of Business Development and Industries at AWS. This means that the future of AWS and cloud computing is beyond storage, data analytics, and hybrid migration; it extends to maximizing data in machine learning and artificial intelligence models.

FAQs:

Q1: What are the AWS tools?

Some essential AWS tools include Amazon CloudWatch (to monitor apps), AWS Lambda (to run virtual code), and Amazon ElastiCache (to scale open-source and in-memory data in cloud storage). AWS Elastic Beanstalk (to develop web apps with selected programming languages) and Amazon Athena (to analyze data) are also some of the AWS tools.

Other tools include flexible services across DevOps practices, developer tools, Amazon Kinesis, Amazon S3 Glacier, Amazon Simple Notification Service, Amazon Virtual Private Cloud, and Amazon CloudFront.

Q2: What type of technology is AWS?

AWS is a cloud computing technology. AWS's comprehensive database integrates IT infrastructure, machine learning, artificial intelligence, data analytics, and the Internet of Things for e-commerce brands to serve customers and conduct business operations at low cost.

Q3: What are the 4 foundational services in AWS?

Savings, Security, Compliance, and DRaaS Development Operations are foundational services for AWS.

  • Savings encourages inexpensive IT infrastructure costs for organizations, making managing and maintaining data accessible.
  • Security protects against cyberattacks.
  • Regulatory compliance is a means through which AWS helps businesses stay in concert with government regulations. It’s time-consuming without a tool like AWS because compliance rules constantly evolve.
  • DRaaS Development Operations help improve disaster recovery time, especially when organizations lose data during downtime.

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