Total Products under this Category: 2,487
Last updated: September 15, 2026
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This is a ready to use minimal CentOS 8 Stream image, mainly used as a common base system on top of which other appliances could be built and tested.
This Amazon Machine Image (AMI) provides you with a Graphical User Interface (GUI) for CentOS Linux. It is based on a lightweight desktop environment provided by Xfce, which is purposely built for cloud VM. You can connect to your instance with either RDP or VNC.
The Cerebral Infarction/Stroke - Classifier is a specialized tool designed to assist healthcare professionals in the accurate identification and classification of cerebral infarctions, commonly known as strokes. By leveraging advanced algorithms, this classifier analyzes medical imaging data to detect and categorize various types of cerebral infarctions, thereby facilitating timely and precise diagnoses. Key Features and Functionality: - Automated Detection: Utilizes machine learning techniques to automatically identify signs of cerebral infarction in imaging data. - Classification Capabilities: Differentiates between various types of strokes, such as ischemic and hemorrhagic, providing detailed classifications. - Integration with Medical Imaging Systems: Seamlessly integrates with existing medical imaging platforms, ensuring a smooth workflow for radiologists and clinicians. - User-Friendly Interface: Offers an intuitive interface that presents findings in a clear and concise manner, aiding in quick decision-making. Primary Value and Problem Solved: The Cerebral Infarction/Stroke - Classifier addresses the critical need for rapid and accurate stroke diagnosis. By automating the detection and classification process, it reduces the potential for human error, enhances diagnostic confidence, and expedites the initiation of appropriate treatment plans. This leads to improved patient outcomes and more efficient use of healthcare resources.
Cert Manager is a Kubernetes add-on designed to automate the management and issuance of TLS certificates from various sources. It ensures that certificates are valid, periodically updated, and renewed before expiration, thereby enhancing the security and reliability of applications running within Kubernetes clusters. Key Features and Functionality: - Automated Certificate Management: Cert Manager handles the entire lifecycle of TLS certificates, including issuance, renewal, and revocation, reducing manual intervention and potential errors. - Integration with Multiple Issuers: It supports various certificate authorities, including AWS Private Certificate Authority (AWS Private CA, allowing for flexible and secure certificate issuance. - Dynamic Admission Control: Cert Manager can provide dynamic admission control over resources using a webhook server, ensuring that only valid and up-to-date certificates are used within the cluster. - Support for ACME Protocol: It includes an ACME solver component, enabling automated certificate issuance and renewal through ACME-compatible certificate authorities like Let's Encrypt. Primary Value and Problem Solved: Cert Manager addresses the complexity and potential security risks associated with manual TLS certificate management in Kubernetes environments. By automating the processes of certificate issuance, renewal, and validation, it ensures that applications maintain secure communications without the administrative overhead. This automation is particularly valuable in dynamic, containerized environments where services are frequently updated or scaled. Additionally, its integration with AWS Private CA offers a managed and highly available private CA service, enhancing security and compliance for organizations operating within AWS.
The Character API, developed by Media Semantics, Inc., is a cloud-based character animation service designed to deliver personalized avatar experiences across various devices at scale. Utilizing cloud computing, edge caching, and spritesheet animation, it enables seamless integration of talking avatars into web applications. Key Features and Functionality: - JavaScript Integration: Developers can use JavaScript to download image strips from the cloud, which are played back and switched seamlessly to create continuous animations. - Customizable Parameters: Each image strip is specified by its URL and includes parameters such as base character, hair, clothing, viewport settings, and actions like Look, Point, and Say. - Dynamic Generation and Caching: New combinations of parameters are generated in the cloud as needed and cached for efficient reuse, optimizing performance. - Intermediate Caching Support: The API supports intermediate caching, allowing applications involving AI, web services, and lip-synced Text-to-Speech to create their own caching servers, leveraging cloud-based services from different vendors. - Broad Compatibility: Designed to work well with modern mobile and desktop browsers, offering a balanced trade-off between cloud resources, local compute power, and bandwidth. Primary Value and User Solutions: The Character API addresses the need for engaging, interactive user experiences by enabling the addition of talking avatars to web applications. With a variety of customizable cartoon and realistic styles, developers can create dynamic, personalized avatars that enhance user engagement. The service's dynamic generation and unlimited caching capabilities ensure efficient performance, making it suitable for applications requiring scalable and responsive character animations.
Charlee API is a robust recommendation engine designed to enhance user engagement and conversion rates by delivering personalized content and product suggestions. Leveraging advanced machine learning algorithms, it analyzes user behavior and preferences to generate tailored recommendations in real-time. Key Features and Functionality: - Personalized Recommendations: Utilizes user data to provide customized content and product suggestions, enhancing user experience. - Real-Time Processing: Delivers immediate recommendations based on current user interactions, ensuring relevance. - Scalability: Designed to handle varying loads, making it suitable for businesses of all sizes. - Easy Integration: Offers a straightforward API for seamless integration into existing platforms and applications. Primary Value and User Solutions: Charlee API addresses the challenge of engaging users by providing relevant and personalized recommendations, leading to increased user satisfaction and higher conversion rates. By analyzing user behavior and preferences, it helps businesses deliver content that resonates with their audience, fostering loyalty and driving sales.
The Bitnami ChartMuseum Container Solution is a pre-packaged, ready-to-deploy container image of ChartMuseum, an open-source Helm Chart Repository server. Designed for seamless integration with Kubernetes environments, this solution simplifies the management and hosting of Helm charts, enabling efficient deployment and scaling of applications. By leveraging Bitnami's expertise, users benefit from a secure, up-to-date, and easily configurable container that supports various cloud storage backends, including Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage. Key Features and Functionality: - Pre-configured Container Image: Offers a ready-to-use ChartMuseum container, reducing setup time and complexity. - Cloud Storage Integration: Supports multiple cloud storage backends, such as Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage, providing flexibility in storage options. - Kubernetes Compatibility: Designed for seamless deployment on Kubernetes clusters, facilitating efficient Helm chart management. - Security and Updates: Bitnami ensures the container is up-to-date with the latest security patches and software versions, enhancing reliability and security. - Scalability: Easily scales to meet the demands of growing applications and teams. Primary Value and User Solutions: The Bitnami ChartMuseum Container Solution addresses the need for a reliable and efficient Helm chart repository within Kubernetes environments. By providing a pre-configured, secure, and up-to-date container, it simplifies the deployment and management of Helm charts, allowing development teams to focus on building and scaling applications without the overhead of manual repository setup and maintenance. Its compatibility with various cloud storage backends offers flexibility in storage solutions, catering to diverse infrastructure requirements.
Check Point Workforce AI Security is a security platform for discovering, governing, and protecting employee interactions with AI applications and agentic tools. It provides centralized visibility into sanctioned and unsanctioned AI usage across web browsers, desktop applications, coding assistants, SaaS applications, IDEs, and Model Context Protocol (MCP)-connected workflows. The platform monitors AI interactions, assesses risk, identifies sensitive content, and records activity for investigation, reporting, and compliance. Workforce AI Security enables organizations to define and enforce access, data protection, and agent policies. Its capabilities include shadow AI discovery, application and agent inventory, contextual data loss prevention, prompt and file controls, sensitive-data redaction, runtime controls for MCP servers and tools, policy enforcement, dashboards, and audit trails.
Chinafy is a China web performance platform that makes global websites load fast and function correctly for users in mainland China, without rebuilding your existing site. Chinafy works with both offshore and onshore hosting configurations. The root cause of website failure in China is not hosting location or delivery speed alone, but the third-party resources embedded throughout global websites: scripts, fonts, tracking pixels, video embeds, and analytics tools from Google, YouTube, Facebook, and other platforms that call out to blocked domains every time a page loads. CDNs improve delivery speed. Hosting changes improve latency. Neither can touch these third-party resources. Chinafy is the only platform that resolves this layer, fixing blocked third-party integrations at the code level automatically, without removing them or compromising the tools your teams depend on. The practical challenge is not simply removing these tools. They serve real business functions including marketing attribution, A/B testing, video content, and form validation. The list of affected resources is extensive, changes over time, and varies by how each site is built. Manually replacing or removing them is expensive, creates ongoing maintenance overhead, and in many cases would compromise the functionality and data your teams depend on. Chinafy resolves this automatically, keeping your existing technology stack intact. CDN providers and hosting changes work alongside Chinafy at the delivery layer. For companies that require onshore hosting or specific licensing, Chinafy works with experienced, verified partners to obtain the requisite licences as needed. Through its agency partner network, Chinafy also supports broader China digital requirements including WeChat, Baidu, and other China-specific platforms and channels. The platform goes live via a single DNS update with no hardware changes, no new URL, and no manual code modifications by your team. Typical implementation takes around two weeks. Works with all major enterprise and mid-market CMS platforms including Adobe Experience Manager, Sitecore, WordPress, Shopify, HubSpot, and Webflow. Sites optimised through Chinafy typically see significant reductions in load times from China, improved page render completion, restored marketing and analytics functionality, and measurable improvements in engagement from Chinese users. Benchmark data from 614 websites tested across Beijing, Virginia, and London is available at insights.chinafy.com. Headquartered in Hong Kong. Chinafy and its partners comply with the regulations of China's Ministry of Industry and Information Technology (MIIT) and do not support sites that are currently inaccessible in China.
Average Rating: 4.8/5.0
Total Reviews: 15
"Simplifies site optimization in China"
Rating: 5.0/5.0 stars
— A S.
"Speedy way to connect my e-shop into the Chinese market"
Rating: 5.0/5.0 stars
— Verified User in Luxury Goods & Jewelry
Chkk (Business Edition) is an AI-powered Upgrade Copilot designed to streamline the lifecycle management of Kubernetes clusters, add-ons like Istio and Cilium, application services such as Redis and Keycloak, and numerous other open-source projects. By automating tasks like changelog analysis, dependency mapping, and compatibility verification, Chkk reduces the traditionally labor-intensive upgrade process to a few guided steps, ensuring upgrades are efficient, safe, and compliant. Key Features and Functionality: - Upgrade Copilot: Assists in planning and executing safe upgrades by providing detailed Upgrade Plans. It pre-verifies these steps on a digital twin of your infrastructure to ensure the upgrade proceeds as expected. - Artifact Register: Maintains a comprehensive inventory of all components, container images, repositories, and tools across multiple clusters and clouds, offering clear visibility into your infrastructure. - Risk Ledger: Functions similarly to a security risk ledger but focuses on operational risks, enabling proactive identification and mitigation of potential failures before they occur. Primary Value and Problem Solved: Chkk addresses the complexities and risks associated with upgrading Kubernetes environments and their associated components. By automating and standardizing the upgrade process, it significantly reduces the time and effort required, cutting upgrade preparation time by up to 80%. This efficiency helps enterprises avoid substantial extended support fees and prevents forced upgrades that can disrupt operations. Chkk's proactive approach ensures that upgrades are smooth, minimizing disruptions and last-minute issues, thereby enhancing overall operational stability and compliance.
The Chronic Conditions Predictive Model is a sophisticated machine learning solution designed to forecast the likelihood of patients developing chronic diseases. By analyzing extensive healthcare datasets, this model identifies patterns and risk factors associated with chronic conditions, enabling healthcare providers to implement early interventions and personalized treatment plans. Key Features and Functionality: - Advanced Machine Learning Algorithms: Utilizes state-of-the-art algorithms to process and analyze complex healthcare data, ensuring accurate predictions of chronic disease onset. - Integration with Healthcare Data Systems: Seamlessly integrates with existing electronic health records (EHRs and other healthcare data repositories, facilitating comprehensive data analysis. - Customizable Risk Assessment: Offers tailored risk assessments based on individual patient profiles, considering factors such as demographics, medical history, and lifestyle choices. - Scalable and Secure Deployment: Built on a cloud-based architecture, the model ensures scalability to handle large datasets while maintaining stringent security and compliance standards. Primary Value and Problem Solved: The Chronic Conditions Predictive Model addresses the critical need for proactive healthcare management by enabling early detection of potential chronic diseases. By providing accurate risk assessments, healthcare providers can implement timely interventions, personalize treatment plans, and allocate resources more effectively. This proactive approach not only enhances patient outcomes but also reduces healthcare costs associated with late-stage disease management.
CirrusPrint is a software solution designed to streamline and enhance document printing and distribution across cloud and network environments. It addresses common challenges associated with cloud migrations, such as slow printing speeds and security concerns, by providing a fast, secure, and efficient method for delivering documents to users and devices. Compatible with both Windows and Linux systems, CirrusPrint offers flexible deployment options, allowing businesses to maintain control over their printing infrastructure without the need for complex configurations or additional hardware investments. Key Features and Functionality: - High-Performance Network Printing: Ensures rapid and reliable printing over wide-area networks, maintaining essential printer features like duplex and tray control. - Flexible Input Methods: Supports various document submission methods, including traditional network printing, file drops into monitored directories, email submissions, web extensions for browser-based printing, and REST and CLI APIs for programmatic access. - Diverse Output Destinations: Delivers documents to multiple destinations such as print spoolers, direct network printers, file systems with customizable naming conventions, user browsers (turning desktops and mobile devices into virtual printers, and command lines for custom processing. - Secure Document Transmission: Utilizes SSL encryption to protect documents during transmission, ensuring data security across public and private networks. - Stateless Design: Facilitates document transmission even when remote sites are temporarily unavailable, with automatic delivery upon reconnection. - Server-Centric Configuration: Offers centralized management through a web browser interface, simplifying the setup and monitoring of remote locations, devices, and document workflows. Primary Value and User Solutions: CirrusPrint provides a comprehensive solution for businesses transitioning to cloud-based applications or operating over distributed networks. By addressing the inherent challenges of cloud printing—such as reduced speed, security vulnerabilities, and complex configurations—CirrusPrint enhances operational efficiency and document management. Its ability to maintain printer controls, offer flexible deployment options, and reduce costs by eliminating the need for VPNs or new hardware makes it an invaluable tool for organizations seeking to optimize their printing and document distribution processes. Additionally, features like Print to User technology and Email to Print functionality offer intuitive and immediate methods for delivering documents directly to users, further improving productivity and user experience.
CirrusWave's Cloud Containerization Platform (CCP is designed to streamline the packaging and deployment of enterprise applications and data processing pipelines into containerized environments. By leveraging configuration-driven deployment, CCP enables efficient migration of on-premises applications to the cloud, ensuring superior server utilization and cloud-agnostic deployment across multiple cloud providers. Key Features and Functionality: - Configuration-Driven Deployment: Simplifies the process of packaging and deploying enterprise applications into containers through predefined configurations. - Enhanced Server Utilization: Optimizes compute and storage resources by efficiently managing containerized deployments. - Multi-Cloud Compatibility: Supports deployment across various cloud platforms, providing flexibility and avoiding vendor lock-in. Primary Value and User Solutions: CCP addresses the challenges of migrating and deploying enterprise applications by offering a streamlined, configuration-driven approach to containerization. This results in reduced operational costs, improved resource utilization, and the agility to deploy applications across diverse cloud environments without being tied to a single provider.
The CIS Amazon Linux 2 STIG Benchmark is a security-hardened Amazon Machine Image (AMI) developed by the Center for Internet Security (CIS for deployment on Amazon Web Services (AWS). This pre-configured image aligns with the Security Technical Implementation Guide (STIG standards, providing organizations with a robust foundation to meet stringent security and compliance requirements. By integrating the CIS Benchmarks, this AMI offers a secure configuration that simplifies the process of achieving regulatory compliance and enhances the overall security posture of systems running on Amazon Linux 2. Key Features and Functionality: - Pre-Hardened Configuration: The image is pre-configured according to the CIS Benchmarks, ensuring a secure setup from the outset. - STIG Alignment: It adheres to the STIG standards, facilitating compliance with Department of Defense (DoD security requirements. - Regular Updates: The AMI is patched monthly in alignment with updates from the software vendor, maintaining up-to-date security measures. - Simplified Compliance: By using this hardened image, organizations can reduce the time and effort required to configure systems to meet security standards. Primary Value and User Benefits: The CIS Amazon Linux 2 STIG Benchmark addresses the critical need for secure and compliant cloud environments. By providing a pre-hardened and regularly updated AMI, it enables organizations to: - Enhance Security: Deploy systems with a strong security foundation, reducing vulnerabilities and potential attack surfaces. - Achieve Compliance: Meet regulatory and organizational security requirements more efficiently, particularly those mandated by the DoD. - Save Time and Resources: Eliminate the need for manual system hardening, allowing IT teams to focus on other critical tasks. By leveraging this CIS-hardened image, organizations can confidently build and maintain secure AWS solutions that align with industry best practices.
The CIS Benchmark Compliant Ubuntu 18.04 Hardened Image is a pre-configured Amazon Machine Image (AMI) designed to meet the security recommendations outlined in the Center for Internet Security (CIS Benchmarks. This hardened image provides organizations with a secure foundation for deploying Ubuntu 18.04 LTS instances on Amazon Web Services (AWS), ensuring compliance with industry-recognized security standards. Key Features and Functionality: - Pre-Hardened Configuration: The image is configured according to the CIS Benchmarks Level 1 and Level 2 guidelines, offering a secure setup that mitigates common vulnerabilities. - Regular Updates: The image is patched monthly in alignment with updates from the software vendor, ensuring that systems remain up-to-date with the latest security patches. - Compliance Reporting: Each image includes an HTML report from the CIS Configuration Assessment Tool (CIS-CAT® Pro, demonstrating conformance to the CIS Ubuntu Linux Server 18.04 LTS Level 1 Benchmark. - Consistent Security Across Environments: Ensures uniform security configurations across development, testing, and production environments, reducing configuration drift and compatibility issues. Primary Value and Problem Solved: By utilizing the CIS Benchmark Compliant Ubuntu 18.04 Hardened Image, organizations can significantly reduce the time and resources required to secure their cloud-based Ubuntu instances. This solution addresses the challenge of manually hardening operating systems by providing a ready-to-use, secure image that aligns with industry best practices. It aids in achieving compliance with various regulatory standards, such as PCI DSS, FedRAMP, and FISMA, thereby enhancing the organization's overall security posture and reducing the risk of security incidents.
