Driving Innovation with Amazon Web Services (AWS)

Amazon EC2 for Windows Server 

Amazon EC2 for Microsoft Windows Server is a part of Amazon's Elastic Compute Cloud (Amazon EC2) service, which offers resizable compute capacity in the cloud, making web-scale cloud computing more accessible for developers. Specifically, Amazon EC2 running Microsoft Windows Server (versions including 2003 R2, 2008, 2008 R2, 2012, 2012 R2, 2016, 2019, and 2022) provides a secure, reliable, and high-performance environment for deploying Windows-based applications and workloads.

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Aurora

Amazon Aurora is a relational database service that blends the high performance of premium databases with the affordability and simplicity of open-source solutions. Compatible with MySQL (5x performance) and PostgreSQL (3x performance), it ensures a smooth transition for existing tools and applications. Key features include: compute and storage scaling, serverless deployments, parallel querying, support for AI/ML embeddings, regional & global high availability.

Amazon EKS

Amazon EKS is a fully managed Kubernetes service that facilitates the deployment, scaling, and management of containerized applications on AWS and on-premises. As an open-source system, Kubernetes automates these processes, and Amazon EKS ensures compatibility with upstream Kubernetes, allowing existing applications to run seamlessly.

EKS handles the availability and scalability of the Kubernetes control plane nodes, which are crucial for tasks like scheduling containers and managing application availability. It supports running Kubernetes applications on both Amazon EC2 and AWS Fargate, offering the robustness, scale, and reliability of AWS infrastructure.

AWS CloudFormation

AWS CloudFormation offers a streamlined method to model and manage a collection of related AWS and third-party resources. By treating infrastructure as code, CloudFormation allows users to define, provision, and manage resources consistently throughout their lifecycles. Users can describe their desired resources and their interdependencies in a CloudFormation template, enabling the creation, update, or deletion of an entire stack as a unified entity. This eliminates the need to manage resources individually. The service supports managing and provisioning stacks across multiple AWS accounts and regions. 

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Lambda 

AWS Lambda is a serverless compute service that automatically runs your code in response to specific events, managing the underlying compute resources for you. These events can range from changes in state, such as a user action on a website, to updates in AWS services. Lambda is designed to extend AWS services with custom logic or to create backend services that operate with AWS’s scale, performance, and security standards.  

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API Gateway 

Amazon API Gateway is a fully managed service designed to enable developers to publish, maintain, monitor, and secure APIs with ease and at any scale. Recognizing the growing need for APIs due to the surge in mobile devices and the Internet of Things (IoT), API Gateway addresses the challenges of API development and management. It provides a platform where backend systems and data can be made accessible to applications through APIs, without the complexities of infrastructure management.

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CloudFront

Amazon CloudFront is a fully managed content delivery network (CDN) that ensures fast and secure delivery of data, videos, applications, and APIs to users globally with low latency and high transfer speeds. CloudFront integrates with other Amazon Web Services to provide an optimized and reliable solution without the need to commit to long-term contracts or upfront fees. With its vast global network, CloudFront is designed to automatically route user requests to the nearest edge location, ensuring content is delivered with the best possible performance. It offers protection against network and application layer attacks, supports SSL/TLS encryption, provides real-time metrics, and is compliant with various security standards.  

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DynamoDB 

Amazon DynamoDB is a serverless NoSQL database service optimized for key-value and document data models. It supports global scalability, offering consistent single-digit millisecond performance. With built-in security, flexibility, and auto-scaling, DynamoDB is designed for high-performance, internet-scale applications. DynamoDB is designed to handle vast amounts of data, consistently managing more than 10 trillion requests daily. It boasts built-in availability, durability, and fault tolerance, eliminating the need for additional architectural considerations.

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Kinesis 

Amazon Kinesis is a platform within AWS that offers powerful services to process and analyze real-time, streaming data. It enables users to collect, process, and analyze data as it arrives, allowing for timely insights and reactions. Kinesis is designed to handle massive amounts of streaming data from sources like logs, social media feeds, and IoT telemetry. With Kinesis, businesses can build real-time dashboards, create alerts, drive recommendations, and make other real-time decisions without waiting for traditional batch processing. 

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WAF 

AWS Web Application Firewall (WAF) is a security solution that helps protect web applications from common web exploits. AWS WAF allows users to create rules to filter web traffic based on various conditions, such as IP addresses, HTTP headers, and custom URIs. This aids in shielding applications from threats like SQL injection and cross-site scripting. AWS WAF offers centralized rule management, enabling the deployment of rules across multiple websites. It also provides real-time metrics and integrates with Amazon CloudWatch for custom alarms. Additionally, AWS WAF can be fully administered via APIs, allowing for seamless integration into development processes and ensuring up-to-date security measures. 

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Redshift 

Amazon Redshift is a fully managed cloud data warehousing solution that accelerates insights by offering fast, easy, and secure data warehousing at scale. It's designed to handle complex queries on large datasets, providing users with the ability to analyze data across operational databases, data lakes, data warehouses, and third-party datasets. Redshift supports federated querying, allowing users to pull data from various sources like Amazon RDS and Aurora without data movement. It also offers data sharing capabilities, ensuring consistent and live data access across Redshift clusters. With features like Redshift ML, users can integrate machine learning models directly into their queries.