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Amazon.com, Inc.

About

Amazon.com Inc. (founded in 1994) is a multinational technology group with a primary focus on cloud solutions, e-commerce, streaming and artificial intelligence.

In 2002, the Amazon Web Service (AWS) was launched. The portfolio includes tools for developers, analytics, blockchain, cloud and marketing strategies, server solutions, machinelearning, robotics and artificial intelligence, big data warehouses and much more.
Status:
 Independent company
 410 Terry Ave N Seattle, WA, 98109-5210 United States
 (206) 266-1000
 support@amazon.com
 

 Amazon Elastic Compute Cloud (Amazon EC2)


Amazon EC2 offers scalable and flexible computing power in the cloud, allowing businesses to use virtual servers on demand without having to invest in physical hardware. For example, Epic Games, Inc. uses EC2 to dynamically adjust server capacity for Fortnite, while Airbnb uses EC2 to process large amounts of data for personalizing user experiences.

Additionally, EC2 ensures high security through network protection, data encryption and the integration of security solutions like Denuvo. By connecting to telemetry and analytics services such as Amazon CloudWatch companies can effectively monitor and optimize their applications.

In terms of big data applications, EC2 serves as a starting point for integration with several AWS services that support the efficient processing and analysis of large data volumes.

  1. Amazon S3
    Used as a storage solution to store large amounts of data, which is then processed by EC2 for further analysis.
  2. Amazon EMR
    Uses EC2 instances to perform big data analytics with tools like Hadoop and Spark.
  3. Amazon Redshift
    A powerful data warehouse that enables fast querying of data processed by EC2.
  4. Amazon Kinesis
    Enables real-time analysis of streaming data that can be processed by EC2.
  5. AWS Lambda
    Provides a serverless way to process big data in conjunction with EC2, especially for event-driven applications.
  6. Amazon SageMaker:
    Uses EC2 for training machine learning models on large datasets.

Through this integration of EC2 with various AWS services, companies can not only dynamically adjust their computing capacity but also develop big data solutions that enable efficient storage, processing and analysis of large data volumes.


 Core Functions of Amazon Elastic Compute Cloud (Amazon EC2)


  1. Diverse Instance Types
    Select from a wide range of instance types optimized for various use cases such as general applications, compute-intensive tasks, memory-intensive applications, and machine learning.
  2. Auto Scaling
    Automatically adjust the number of EC2 instances based on current demand to maximize performance and minimize costs.
  3. Elastic Load Balancing
    Distribute incoming traffic across multiple instances to ensure high availability and reliability of applications.
  4. Flexible Pricing
    Various pricing models such as On-Demand, Reserved, and Spot Instances enable cost-effective use of computing resources.
  5. Security and Compliance
    Integrated security features like AWS Identity and Access Management (IAM), data encryption, and network security options to protect applications and data.
  6. Integration with Other AWS Services
    Seamless integration with services like Amazon S3, Amazon RDS, and Amazon CloudWatch for comprehensive and powerful cloud solutions.
  7. Fast Deployment
    Launch EC2 instances within minutes to significantly accelerate development and deployment cycles.

 Amazon.com, Inc. Index


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