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Optimize Licensing and Reduce Costs with AWS IoT Greengrass

Discover Comprehensive Optimization with AWS IoT Greengrass

AWS Optimization and Licensing Assessment (AWS OLA) offers a cutting-edge solution for users to analyze and optimize their on-premises and cloud environments. By leveraging this complimentary program, both new and existing customers can enhance resource efficiency, reduce the number of required instances, and make informed decisions for their cloud journey. The assessment involves analyzing resource usage, third-party licensing, and application dependencies to provide valuable insights.

Unlock Cost Savings and Efficiency

The AWS OLA delivers a detailed report that models deployment options based on existing licensing entitlements and resource usage. This assists users in uncovering potential cost savings by suggesting flexible licensing options. With this data-driven approach, users can rightsize resources, optimize resource utilization, and identify the most suitable AWS instance types for their workloads, thereby optimizing costs and increasing efficiency.

Optimize Your Cloud Infrastructure

Running workloads in the cloud offers elasticity that can lead to reduced instances and licenses. The AWS OLA helps users optimize their cloud infrastructure to cut costs by providing insights into the compute resources needed for workloads. By following the program's recommendations, users can save up to 60% on license efficiency, adapt their on-premises licensing strategies for the cloud, and explore flexible licensing options for better cost management.

Evaluate Licensing Scenarios and Enhance Flexibility

The AWS OLA enables users to avoid unnecessary licensing costs by modeling various licensing scenarios such as license-included or Bring your Own License (BYOL) instances. This flexibility allows users to manage seasonal workloads efficiently and experiment with different licensing options easily. By paying only for what they use, users can optimize their cloud compute costs and licensing expenses, ensuring maximum value for their investments.

Tailored Solutions for Various Workloads

The AWS OLA covers a wide range of workloads, including Microsoft SQL Server, Windows Server on Amazon EC2, VMware-based workloads, Oracle Database, and Oracle business applications. By assessing these workloads, users can gain insights into optimizing licensing, infrastructure resource usage, storage, and dependencies before migrating to AWS. The program helps identify cost-effective options, reduce licensing costs, and improve performance for diverse environments.


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Empowering Proactive Equipment Maintenance with AWS IoT Greengrass

DTEK Harnesses AWS IoT Greengrass for Proactive Equipment Maintenance

DTEK, a leading player in the Ukrainian energy sector, has successfully leveraged the power of AWS IoT Greengrass to revolutionize its approach to equipment maintenance. By utilizing the advanced capabilities of AWS IoT Greengrass, DTEK has managed to prevent power plant equipment failures proactively, ensuring uninterrupted operations and maximizing efficiency. This cutting-edge solution has enabled DTEK to gain real-time access to critical data from sensors, allowing for the swift identification of looming issues and immediate remedial actions.

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Empower Your Web & Mobile Development with AWS IoT Greengrass

Faster App Development with AWS Amplify

AWS IoT Greengrass offers a comprehensive set of tools and services designed to support front-end web and mobile developers. One of the key advantages is the ability to build applications quickly with the help of AWS Amplify. This service streamlines the app development process by providing pre-built components and cloud functionality, allowing developers to bring their apps to market faster than ever before.

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Empowering Machine Learning Solutions with Amazon SageMaker AI

Introduction to Amazon SageMaker AI

Amazon SageMaker AI provides a comprehensive platform for building, training, and deploying machine learning (ML) models, including foundation models (FMs) tailored for various use cases. This fully managed service offers a suite of tools and workflows, enabling high-performance and cost-effective ML operations. By leveraging SageMaker AI's integrated development environment (IDE), users can efficiently handle tasks such as model building, training, and deployment at scale.

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Unleashing the Power of On-Premises Server Inventory with AWS Application Discovery Service

Discover On-Premises Server Inventory for Seamless Cloud Migrations

AWS Application Discovery Service empowers organizations to unlock the potential of their on-premises server inventory by providing deep insights into server behavior and configuration. This essential tool is designed to facilitate seamless cloud migrations by assisting in planning and strategizing the transition to the cloud environment. By leveraging Application Discovery Service, businesses can gain a comprehensive understanding of their existing server landscape, enabling informed decision-making for a successful migration journey.

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Unlocking Efficiency and Innovation in Supply Chains with AWS IoT Greengrass

Revolutionizing Supply Chain Management

In today's complex and fast-paced business environment, supply chain management plays a critical role in the success of organizations. AWS IoT Greengrass, a cloud-based supply chain management application, offers a comprehensive solution to mitigate risks, lower costs, and drive operational efficiency. One of the key benefits of this platform is its ML-powered forecasting methods that improve demand forecasting and inventory visibility. By leveraging actionable insights provided by machine learning algorithms, businesses can make informed decisions to optimize their supply chain operations.

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