Best AWS Marketplace Software - Page 47

Amazon Linux 2 with SELinux enforcing mode

Amazon Linux 2 is the next generation of Amazon Linux, a Linux server operating system from Amazon Web Services (AWS). It provides a secure, stable, and high performance execution environment to develop and run cloud and enterprise applications. This image comes with SELinux (https://selinuxproject.org) configured in "Enforcing" mode.

Amazon Linux AMI 2015.09.1 (HVM) Hardened by DeepCyber's ADD List

The Amazon Linux AMI 2015.09.1 (HVM Hardened by DeepCyber's ADD List is a specialized Amazon Machine Image (AMI) designed to provide a secure and stable environment for applications running on Amazon EC2 instances. This AMI is based on Amazon Linux 1 (AL1 version 2015.09.1, which includes updates and enhancements to improve performance and security. DeepCyber's ADD List further fortifies the AMI by implementing additional security measures, ensuring a robust defense against potential threats. Key Features and Functionality: - Enhanced Security: Incorporates DeepCyber's ADD List, which applies advanced security configurations to mitigate vulnerabilities and protect against unauthorized access. - Stability and Performance: Built upon Amazon Linux 1 (AL1 version 2015.09.1, offering a reliable and efficient platform for deploying applications. - Compatibility: Supports a wide range of Amazon EC2 instance types, providing flexibility for various workloads. Primary Value and User Benefits: This hardened AMI addresses the critical need for secure and dependable cloud environments. By integrating DeepCyber's ADD List, it offers users a pre-configured, security-enhanced operating system, reducing the time and effort required to implement security best practices. This solution is particularly beneficial for organizations seeking to deploy applications on AWS with confidence in the underlying infrastructure's security and stability.

Amazon Linux AMI (HVM / 64-bit)

The Amazon Linux AMI (HVM / 64-bit is a Linux image provided by Amazon Web Services (AWS) for use on Amazon Elastic Compute Cloud (EC2. It offers a secure, stable, and high-performance execution environment for applications running on EC2 instances. Designed to integrate seamlessly with AWS services, this AMI includes essential packages and configurations optimized for cloud performance. It supports the 64-bit x86 architecture and utilizes Hardware Virtual Machine (HVM virtualization for enhanced performance. Key Features and Functionality: - Optimized for AWS: Pre-configured to work efficiently with AWS services, ensuring smooth deployment and operation of applications. - Security Updates: Regularly updated with security patches to maintain a secure environment. - Package Repository: Access to a comprehensive package repository, allowing users to install and manage software easily. - Performance: Utilizes HVM virtualization, providing better performance by leveraging hardware capabilities. - Support for 64-bit Architecture: Designed for 64-bit x86 systems, enabling the use of larger amounts of memory and improved performance. Primary Value and User Solutions: The Amazon Linux AMI (HVM / 64-bit simplifies the process of deploying and managing applications on AWS EC2 instances. By offering an environment optimized for AWS, it reduces the time and effort required to configure and maintain instances. Regular security updates ensure that applications run in a secure setting, while the extensive package repository provides flexibility in software management. The use of HVM virtualization and support for 64-bit architecture enhance performance, making it suitable for a wide range of applications.

Amazon Linux AMI with NVIDIA TESLA GPU Driver with Support Terracloudx

Terracloudx offers this software product repackaged where additional charges apply for technical support provided by Terracloudx and AWS Amazon Linux AMI with NVIDIA TESLA GPU Driver

Amazon Linux AMI with Support by Supported Images

The Amazon Linux AMI with Support by Supported Images is a cloud-optimized operating system designed for seamless integration with Amazon Web Services (AWS) environments. Built upon the CentOS and Fedora foundations, it offers a stable, secure, and high-performance platform tailored for AWS cloud infrastructure. This AMI is specifically configured to enhance the performance of Amazon Elastic Compute Cloud (EC2 instances, providing users with an efficient and reliable environment for deploying and managing applications. Key Features and Functionality: - Performance Optimization: Engineered for EC2, the AMI delivers improved boot times, efficient memory management, and optimized disk I/O, ensuring swift and responsive operations. - Security Management: Regular maintenance with security patches and updates ensures the system remains protected against vulnerabilities, offering users peace of mind regarding their data and applications. - Development Environment: Supports multiple programming languages and software development tools, facilitating scalable application development and deployment within the AWS ecosystem. - Cloud Service Integration: Pre-configured for seamless integration with core AWS services, including Amazon RDS, DynamoDB, and S3, enabling users to leverage the full suite of AWS offerings without additional configuration. Primary Value and User Solutions: The Amazon Linux AMI with Support by Supported Images addresses the need for a robust and secure operating system optimized for AWS cloud environments. By providing a platform that is both performance-tuned and regularly updated with security enhancements, it allows users to deploy applications confidently, knowing they are built on a reliable foundation. The seamless integration with AWS services simplifies the deployment process, reducing the time and effort required to configure and manage cloud resources. Additionally, the support for various development tools and languages empowers developers to create and scale applications efficiently, meeting the demands of modern cloud-based workloads.

Ambyint InfinityPL

Increase production, reduce operating expenditures, and increase uptime with Ambyint InfinityPL

Ambyint InfinityRL

Increase production, reduce operating expenditures, and reduce failure rates with Ambyint InfinityRL

Average Rating: 3.5/5.0

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AMI Disease State Predictor

The AMI Disease State Predictor is a machine learning model designed to predict the likelihood of Acute Myocardial Infarction (AMI, commonly known as a heart attack. By analyzing patient data, this tool aims to assist healthcare professionals in identifying individuals at risk, enabling timely intervention and personalized treatment plans. Key Features and Functionality: - Predictive Analytics: Utilizes advanced machine learning algorithms to assess patient data and predict the probability of an AMI event. - Comprehensive Data Analysis: Incorporates a wide range of variables, including demographics, medical history, laboratory results, and comorbidities, to enhance prediction accuracy. - Risk Stratification: Categorizes patients based on their risk levels, aiding clinicians in prioritizing care and allocating resources effectively. - Integration Capabilities: Designed to seamlessly integrate with existing electronic health record (EHR systems, facilitating easy adoption into clinical workflows. Primary Value and Problem Solved: The AMI Disease State Predictor addresses the critical need for early detection and prevention of heart attacks. By providing accurate risk assessments, it empowers healthcare providers to implement proactive measures, potentially reducing the incidence of AMI and improving patient outcomes. This tool enhances clinical decision-making, supports personalized patient care, and contributes to more efficient healthcare delivery.

Amorphic Data Platform

Amorphic is deployed inside each agency’s AWS environment, combining serverless architecture with full customer control over data, users, and workflows. It consolidates data and processes, enforces end-to-end governance and compliance, and delivers scalable automation, reporting, and GenAI solutions through managed applications and intelligent assistants - all designed to reduce risk, improve service delivery, and eliminate operational bottlenecks.

Analytical Data Platform: AIOps

Anomaly Detection solution is the system is used to catch abnormal behaviour of connected infrastructure components, services, applications, data in e-commerce, banking, telecom, manufacturing, etc.

Analytical Data Platform: Base Platform

The Analytical Data Platform provides an end-to-end source-agnostic infrastructure to run streaming and batch applications, build machine learning pipelines, and create data quality checkers. The platform is based on a modular approach and it consists of a Base Platform and the following use cases which can be launched on top of it: Image Recognition, Promotion Planning, Batch Processing, Streaming, and Data Governance. When the product is launched, AWS CloudFormation deploys corresponding resources in your AWS account. The launch of the Base Platform prepares essential resources that are common for all use cases (such as Amazon Amazon VPC, Amazon Cloud Map, Amazon Route53, and custom Amazon Lambda functions) and an S3 bucket used to store the status of the system. Once the Base Platform is up, any chosen use case can be launched on top of it.

Analytical Data Platform: Batch Processing

Batch Analytics capability is one of the modular parts of Analytical Data Platform which provisions AWS EMR, Apache Airflow and uses several demo jobs that are running on top of an EMR orchestrated by Apache Airflow.

Analytical Data Platform: Data Governance

Data Governance use case is a part of the Analytical Data Platform which includes Data Quality based on input data or results of data analytics and Data Lineage based on data pipeline and represent dependency between data.

Analytical Data Platform: Visual Attributes

Image Recognition capability is one of the modular parts of the Analytical Data Platform which provides an implementation of item recognition and classification by the image of the item. Capability provides Jupyter notebook with executable code in AWS Sagemaker. Once code is up and running it releases the model and creates a demo endpoint.

Anemia Disease State Predictor

The Anemia Disease State Predictor is an advanced analytical tool designed to assist healthcare providers in identifying and managing anemia within patient populations. By leveraging comprehensive data analysis, this tool enables early detection of anemia, facilitating timely interventions and improved patient outcomes. Key Features and Functionality: - Comprehensive Data Integration: Aggregates and analyzes diverse patient data to identify patterns indicative of anemia. - Predictive Analytics: Utilizes advanced algorithms to forecast anemia risk, allowing for proactive management. - User-Friendly Interface: Presents findings in an accessible format, enabling healthcare professionals to make informed decisions efficiently. Primary Value and Problem Solved: The Anemia Disease State Predictor addresses the challenge of late-stage anemia diagnosis by providing early detection capabilities. This proactive approach allows healthcare providers to implement timely interventions, reducing the risk of complications associated with untreated anemia and enhancing overall patient care.