How AWS is helping Companies ?
First of all Before diving directly into our Topic, We should have to know what is Cloud? or We say Cloud Computing?
What is Cloud Computing?
So Basically, Cloud computing is a model of providing on-demand access to a shared pool of computing resources, including servers, storage, databases, applications, and services, over the internet. Cloud computing provides a scalable, flexible, and cost-effective way to access and manage these resources, without the need for owning and maintaining physical hardware and infrastructure.
There are several key characteristics that define cloud computing:
- On-demand self-service: Users can easily and quickly provision and configure computing resources as needed, without the need for human interaction.
- Broad network access: Computing resources are accessible over the internet from anywhere, using a variety of devices, such as desktops, laptops, smartphones, and tablets.
- Resource pooling: Multiple users can share computing resources, including servers, storage, and networking devices, which are dynamically allocated and reassigned based on user demand.
- Rapid elasticity: Computing resources can be easily scaled up or down based on user demand, allowing users to easily meet changing business needs.
- Measured service: Usage of computing resources is monitored and billed based on actual usage, rather than a flat rate or long-term commitment.
There are three main types of cloud computing:
- Infrastructure as a Service (IaaS): Provides access to computing infrastructure, such as virtual machines, storage, and networking, allowing users to build and manage their own software applications and services.
- Platform as a Service (PaaS): Provides access to a pre-configured platform, including the operating system, middleware, and development tools, allowing users to build and deploy software applications and services without the need for managing the underlying infrastructure.
- Software as a Service (SaaS): Provides access to software applications and services that are fully managed by the provider and delivered over the internet, allowing users to simply use the software without the need for managing the underlying infrastructure.
As per this Cloud Computing Can be defined as well as how the services are differ.
As shown in above Image In a Market currently there are so many Cloud Computing platforms i.e.
- Google Cloud Platform (GCP)
- AWS
- IBM Cloud
- Microsoft Azure
- Oracle Cloud
- Alibaba Cloud
- DigitalOcean … and many more..
And still from all of this best choice for Cloud Computing Platform of Various Companies is AWS. So now, the Question is Why AWS? Why Companies choosing AWS ?
What is AWS?
AWS is Stands for Amazon Web Services. So, Amazon Web Services (AWS) is a cloud computing platform that provides a wide range of on-demand IT services and computing resources over the internet. AWS is a subsidiary of Amazon.com (that’s the one where you shop online) and offers a vast array of cloud services, including computing, storage, databases, analytics, machine learning, security, and application development.
Why To use AWS? Why Companies choosing AWS ? Why it’s differ from other Cloud Platforms?
First point for Every Company is Coasting. It doesn't matter it’s some start-up businesses or some MNC’s. Keeping Coast low is main goal. AWS offers a pay-as-you-go pricing model, allowing users to pay only for the resources they use, without any upfront costs or long-term commitments. Second point is Efficiency, For that AWS offers a wide range of services and tools that help companies improve their IT infrastructure, reduce costs, and increase efficiency.
AWS provides Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) offerings to its customers.
Overall, AWS’s combination of IaaS, PaaS, and SaaS offerings provides customers with a wide range of options for building and deploying applications in the cloud, depending on their specific needs and requirements makes it best choice for cloud platform.
Here are some of the ways AWS is helping companies:
- Scalability: AWS allows companies to scale their computing resources quickly and easily, without having to worry about purchasing and maintaining additional hardware.
- Cost-effectiveness: With AWS, companies can avoid the upfront costs associated with traditional on-premises infrastructure and only pay for the computing resources they actually use.
- Flexibility: AWS provides a wide range of services and tools that can be customized to meet the specific needs of each company, allowing them to choose the services that are most relevant to their business.
- Security: AWS provides a secure and reliable cloud infrastructure that helps companies to protect their sensitive data and ensure compliance with various regulations.
- Innovation: AWS enables companies to innovate quickly and experiment with new technologies, products, and services without investing in expensive infrastructure.
Case Study: How Companies are Using AWS?
Several companies have successfully adopted AWS for their business, including Netflix, Airbnb, and Adobe and many more. These companies have reported significant improvements in their IT infrastructure, reduced costs, and increased efficiency. Here are a few examples:
1) Netflix:
Netflix is one of the largest media streaming companies in the world, with over 200 million subscribers. The company relies heavily on AWS for its IT infrastructure, using AWS to store and stream content to its users.
By using AWS, Netflix has been able to reduce its infrastructure costs by 50%. In addition, the company has been able to scale its infrastructure quickly to meet the demands of its growing user base, providing a seamless streaming experience for its customers.
2) Philips :
Philips, a global health technology company, has been using AWS to manage its vast amount of data. By using AWS, Philips has been able to improve its data storage and processing capabilities, as well as leverage AWS’s machine learning services to develop new healthcare solutions.
By using AWS, Philips has been able to reduce the time it takes to process imaging data from hours to minutes. They were also able to develop a machine learning algorithm that can detect certain types of lung cancer with 95% accuracy, which is much higher than the industry average of 70%.
3)Unilever:
Unilever, a consumer goods company, has been using AWS to modernize its supply chain operations. By using AWS, Unilever was able to reduce its supply chain costs by 40%. They were also able to increase the accuracy of their demand forecasting by 90%, which led to better inventory management and a more efficient supply chain.
4)Twitter
Twitter is one of the many well-known companies that use Amazon Web Services (AWS) to power its infrastructure. Twitter uses a variety of AWS services to support its operations, including Amazon EC2 for computing, Amazon S3 for storage, Amazon CloudFront for content delivery, Amazon RDS for databases, and Amazon Elastic MapReduce (EMR) for big data processing. Additionally, Twitter uses other AWS services such as Amazon Redshift for data warehousing, AWS Lambda for serverless computing, and Amazon Kinesis for real-time data processing.
One of the key benefits of using AWS for Twitter is the ability to scale rapidly and handle spikes in traffic, which is critical for a platform that experiences a high volume of user activity. AWS provides Twitter with the flexibility and agility to quickly scale up or down as needed, allowing the company to efficiently handle millions of tweets and interactions each day.
5) Johnson & Johnson :
By using AWS, Johnson & Johnson was able to develop a machine learning algorithm that can predict patient hospital readmissions with 80% accuracy. They were also able to reduce the time it takes to process clinical trial data from months to days, which enabled them to bring new drugs to market faster.
6) Pfizer :
Pfizer is using AWS to support its drug discovery and development efforts. The company uses AWS to store, process, and analyze large amounts of genomic and biomedical data, as well as support clinical trial research.
With AWS, Pfizer can scale its computing resources to meet the demands of its research, which has resulted in faster drug discovery times and reduced costs. Additionally, AWS’s security and compliance offerings have helped Pfizer to ensure the safety and privacy of sensitive medical data. Overall, Pfizer’s partnership with AWS has helped the company to accelerate its research and development efforts, while reducing costs and improving data security.
7) Kellogg Company :
By using AWS, Kellogg Company was able to reduce the time it takes to analyze customer data from days to hours. They were also able to improve their demand forecasting accuracy by 20%, which led to better inventory management and reduced waste.
The company is now running the SAP Accelerated Trade Promotion Management (TPM) solution, powered by SAP HANA and leveraging multiple AWS instance types for both the SAP application and HANA database layers. These Amazon Elastic Compute Cloud (Amazon EC2) instances process 16 TB of sales data weekly from promotions in the US, modeling dozens of data simulations a day.
8) Adobe :
Adobe uses AWS to improve scalability, performance, and reliability of its services, including its Creative Cloud with more than 10 million subscribers. AWS services like Amazon EC2, S3, RDS, and ElastiCache enable Adobe to store, process, and deliver large amounts of data quickly and efficiently.
Additionally, Adobe leverages AWS AI and machine learning services to drive innovation and develop new features, such as the automatic image tagging feature using Amazon Rekognition.
9)Cisco :
Cisco is one of the many companies that use AWS (Amazon Web Services) to run their operations. Cisco, a global technology company, uses AWS for a range of purposes, including data center consolidation, data analytics, and DevOps. Cisco uses AWS to host a variety of services, including its video conferencing platform, WebEx, which is used by millions of people around the world.
By leveraging AWS services like Amazon EC2, S3, and Elastic Load Balancing, Cisco has been able to reduce IT costs and improve the scalability and reliability of its infrastructure.
The company also uses AWS for machine learning, including training and deploying its own models on Amazon SageMaker, and has developed new solutions like the Cisco Hybrid Solution for Kubernetes on AWS to help customers deploy, manage, and scale containerized applications.
Above examples demonstrate how AWS has helped companies across industries to improve their operations, reduce costs, and increase efficiency. By leveraging the power of cloud computing and machine learning, these companies were able to transform their businesses and achieve success in their respective fields.
Conclusion
In conclusion, AWS (Amazon Web Services) is a powerful cloud computing platform that offers a wide range of benefits to companies of all sizes and industries.
By using AWS, companies can save on costs, improve their agility and scalability, and take advantage of innovative tools and services. Additionally, AWS provides powerful data analytics capabilities that enable companies to make better-informed decisions and gain insights into their operations. With its security and reliability, AWS is a trusted and popular choice for companies that are looking to modernize their IT infrastructure and unlock new possibilities for growth and innovation.
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