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Streamline your practice with AI Powered next level client management, AI-powered meal planning, and Tracking. Trusted by nutritionists, clinics, gyms, and corporate wellness programs worldwide.
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Ready your teams with memorable, engaging, and story-based content. Huntress security experts design lessons using the real-world threats we see every day in our SOC, so you can identify attacks and keep your organization safe. Our training works for businesses of any size and for users of any technical expertise.
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Unified secrets management vault platform is built to secure DevOps secrets and access to production resources, made for hybrid cloud as well as legacy environments
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Adobe Photoshop Elements is a user-friendly photo editing software designed for photography enthusiasts and hobbyists. It offers a range of tools powered by Adobe Sensei AI technology, enabling users to perform quick fixes and create advanced photo projects with ease. The software provides Quick, Guided, and Advanced editing modes, catering to various skill levels and allowing users to enhance their photos effortlessly. Key Features and Functionality: - AI-Powered Editing: Utilize Adobe Sensei AI to generate new backgrounds and images, add elements to photos, restore damaged pictures, and remove unwanted objects seamlessly. - Guided Edits: Access 59 step-by-step tutorials to learn essential photo editing techniques, including color correction, lighting adjustments, and unique effects application. - Creative Templates: Showcase photos using Photo Reels and collages, and access thousands of free Adobe Express templates for social media posts, videos, posters, and more. - Effortless Organization: Quickly import from popular cloud services, sort and back up automatically, and find photos fast with automatic tagging, curation, and face recognition. - User-Friendly Interface: Choose from Quick, Guided, and Advanced editing modes to match your skill level and editing needs. Primary Value and Solutions: Photoshop Elements simplifies the photo editing process, making it accessible to users without professional experience. By integrating AI-powered tools and guided tutorials, it enables users to enhance their photos, create artistic projects, and organize their media efficiently. This comprehensive approach allows users to transform their images into personalized creations, share them across various platforms, and preserve memories with professional-quality results.
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Use Roadmunk for the easiest way to build an impressive roadmap to communicate your product strategy. Use our Feedback portals, Idea Management prioritization features, and Roadmapping capabilities to build products with true business impact. Reduce, if not entirely eliminate, manual and duplicate data entry to save time and effort when building visually-stunning, boardroom ready roadmaps, by integrating with a tool you already use. Roadmunk integrates with: Jira, Azure DevOps, Asana, Shortcut, Trello, GitHub and GitLab.
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Payara Server is a fully supported, developer-friendly, open source application server. Payara Server's architecture is innovative, cloud-native and optimized for production deployments. The application server, compatible with Eclipse MicroProfile, is built and supported by a team of DevOps engineers dedicated to the continued development and maintenance of the open source software and committed to optimizing Payara Server as the best option for production Java EE applications.
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Revol LIMS is a complete laboratory information management system. Revol LIMS plays an important role in a laboratory to increase the operational efficiency of the laboratory by automating and streamlining the workflows, eliminating the need for maintaining information manually and meeting regulatory guidelines. Revol LIMS facilitates both easy record-keeping and reporting, thus eliminating the risks of human errors and improving the overall turnaround time.
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Red Hat Ansible Automation Platform is a simple way to automate apps and infrastructure. Application Deployment + Configuration Management + Continuous Delivery.
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LangChain is an open-source framework designed to simplify the development of applications powered by large language models (LLMs). By providing a suite of tools and abstractions, LangChain enables developers to build context-aware, reasoning applications such as chatbots, question-answering systems, and content generators. Its modular architecture allows for seamless integration with various LLMs, including those from OpenAI, Anthropic, and Cohere, facilitating the creation of sophisticated AI-driven solutions. Key Features and Functionality: - Modular Components: LangChain offers isolated modules for model input/output, prompt templates, and retrieval mechanisms, allowing developers to customize and extend functionalities as needed. - Agent Framework: The framework supports the creation of agents that can make decisions and perform tasks based on user inputs, enhancing the interactivity and utility of applications. - Memory Management: LangChain provides both short-term and long-term memory capabilities, enabling applications to maintain context over extended interactions. - Extensive Integrations: With over 1,000 integrations, LangChain allows developers to connect with various models, tools, and databases without the need to rewrite application code, ensuring flexibility and future-proofing. - Durable Runtime: Built on LangGraph’s durable runtime, LangChain ensures agents have built-in persistence, rewind capabilities, checkpointing, and support for human-in-the-loop interactions. Primary Value and Problem Solving: LangChain addresses the challenges developers face when integrating LLMs into applications by offering a structured and efficient approach to building AI-driven solutions. It streamlines the development process, reduces the complexity associated with managing interactions between various components, and provides the flexibility to adapt to evolving AI technologies. By leveraging LangChain, developers can rapidly deploy reliable and scalable AI applications that are capable of understanding and responding to complex user inputs, thereby enhancing user experiences and operational efficiency.
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Capital Numbers is an ISO 9001 and ISO 27001 certified digital solutions company with 600+ experts working full time across 3 Delivery Centers. Established in 2012, Capital Numbers are headquartered in Kolkata, India, with offices in the USA, Sweden, and Australia. We are winners of multiple awards and accolades from organizations like CII, Deloitte, Financial Times, Economic Times, and Bengal Chamber of Commerce. Our innovative “In-Demand Skills, On-Demand” allows businesses to ramp up their team for Web, Mobile, DevOps, AI/ML, or UI/UX Development needs. We serve companies ranging from start-ups and SMEs to global brands from all across the world.
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OnePlan offers a portfolio and resource management solution that fits every work team's needs, including product teams, PMOs, and even service organizations. With OnePlan, you can optimize your portfolio and resources enterprise-wide. Integrate OnePlan with Microsoft Project, Microsoft for the web, Office 365 Planner, Azure DevOps, Jira, and others for a complete view into all work in one portfolio.
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DVBlast is a lightweight and robust streaming application developed by VideoLAN, designed for streaming digital TV (DVB) channels over a network. It operates by accessing a DVB device, tuning it to the desired frequency, applying PID filters, configuring a Conditional Access Module (CAM), and demultiplexing the transport stream packets to multiple RTP outputs. DVBlast is intended to serve as the core of custom Integrated Receiver Decoders (IRD) or Conditional Access Systems (CAS) on Linux-based PCs equipped with compatible DVB hardware. Key Features and Functionality: - Minimal Resource Usage: DVBlast is engineered for environments with limited memory and CPU resources, ensuring efficient performance without unnecessary overhead. - Broad Input Support: It supports various input methods, including DVB-S, DVB-S2, DVB-C, DVB-T devices, DVB-ASI cards, and UDP/RTP streams carrying transport streams. - Flexible Output Options: The application can output multiple RTP streams with options for hardware or software PID filtering, PID-based or service-based demultiplexing, and optional descrambling via CAM devices. - Stability and Reliability: Designed for continuous 24/7 operation, DVBlast emphasizes stability and minimal interference with the original stream source. - IPv6 Support: It includes support for IPv6 networks, accommodating modern networking requirements. - Open Source: Released under the GPLv2 license, DVBlast allows for community contributions and customization. Primary Value and User Solutions: DVBlast addresses the need for a straightforward, efficient, and reliable tool to stream DVB channels over networks without the complexities of transcoding or remultiplexing. Its focus on stability and minimal resource consumption makes it ideal for setting up custom IRD or CAS solutions, particularly in scenarios requiring continuous, uninterrupted streaming. By supporting a wide range of input methods and offering flexible output configurations, DVBlast provides users with a versatile solution for their digital TV streaming needs.
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Kuberns is revolutionizing Cloud deployment with our innovative PaaS solutions, designed to simplify and automate the deployment process. By leveraging our platform, businesses can effortlessly manage their DevOps workflows, Cloud Management, enhancing efficiency and driving rapid growth towards success. Fueled by a passion for technology and innovation, our team is dedicated to redefining the DevOps landscape with powerful and intuitive solutions.
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AI is transforming enterprises, but its chains of LLMs, agents, MCP servers, and APIs create risks that legacy tools cannot govern. Levo unifies runtime visibility, detection, and protection across the entire AI control plane, seeing risks clearly, addressing them precisely, and blocking them decisively. The result: AI that scales with speed, trust, and control.
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AWS Fargate is a serverless compute engine that enables developers to run containerized applications without the need to manage underlying servers or clusters. By abstracting the infrastructure layer, Fargate allows users to focus solely on building and deploying applications, streamlining the development process and reducing operational overhead. It integrates seamlessly with Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS), providing a flexible and efficient environment for running containers at scale. Key Features and Functionality: - Serverless Compute for Containers: Fargate eliminates the need to provision and manage servers, handling capacity needs, operating system updates, and compliance requirements automatically. - Flexible Resource Configuration: Users can specify precise CPU and memory requirements for each container, with configurations ranging from 0.25 vCPU and 0.5 GB memory up to 4 vCPUs and 30 GB memory, allowing for optimal resource utilization. - Seamless Scaling: Fargate dynamically scales compute capacity to meet application demands, ensuring high availability and performance without manual intervention. - Enhanced Security: Each task or pod runs in its own dedicated runtime environment, providing workload isolation and reducing the risk of cross-container interference. - Integrated Monitoring: Built-in integrations with AWS services like Amazon CloudWatch Container Insights enable users to monitor applications effectively and gather metrics and logs. - Cost Optimization: With a pay-as-you-go pricing model, users pay only for the compute resources consumed by their applications, with per-second billing and no upfront expenses. Primary Value and Problem Solved: AWS Fargate addresses the complexity and overhead associated with managing server infrastructure for containerized applications. By providing a serverless environment, it allows developers to concentrate on writing code and deploying applications without worrying about provisioning, scaling, or maintaining servers. This leads to faster development cycles, improved security through workload isolation, and cost savings by eliminating the need to manage and pay for idle server capacity. Fargate's seamless integration with AWS services further enhances operational efficiency, making it an ideal solution for organizations looking to modernize their application deployment strategies.
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Red Hat Runtimes is a collection of cloud-native runtimes for developing Java™ or JavaScript applications on OpenShift. It provides portability across multiple cloud infrastructures, allowing the developer to use microservices, containers, and DevOps automation.
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Azure Kubernetes Service (AKS) is a fully managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications. By handling critical tasks such as health monitoring, maintenance, and scaling, AKS reduces the operational overhead associated with Kubernetes management. This allows developers to focus on building and deploying applications without the complexities of infrastructure management. Key Features and Functionality: - Managed Kubernetes Control Plane: Azure automatically creates and configures the Kubernetes control plane, handling tasks like monitoring, patching, and scaling, thereby reducing the need for in-depth Kubernetes expertise. - Scalability: AKS supports horizontal pod autoscaling and cluster autoscaling, enabling applications to scale seamlessly in response to demand fluctuations. - Integration with Azure Services: AKS integrates with Azure Active Directory for identity management, Azure Monitor for health and performance monitoring, and Azure DevOps for continuous integration and deployment pipelines. - Security and Compliance: Features such as role-based access control (RBAC), private clusters, and Azure Policy enforcement help ensure secure and compliant application deployments. - Support for Windows and Linux Containers: AKS allows the deployment of both Windows and Linux containers within the same cluster, facilitating the modernization of diverse applications. Primary Value and Problem Solved: AKS addresses the challenges of managing Kubernetes infrastructure by providing a fully managed service that automates complex tasks like cluster provisioning, scaling, and maintenance. This enables organizations to accelerate the development and deployment of cloud-native applications, integrate AI capabilities, and ensure high availability and performance without the need for extensive Kubernetes expertise. By offloading the operational complexities to Azure, AKS allows teams to focus on innovation and delivering value to their users.
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Memotech is a software that securely manage the entire IP lifecycle, from idea inception to asset monetisation.
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Splunk On-Call is a real-time incident management platform that combines the power of people and data to embolden DevOps teams so they can handle incidents as they occur and prepare for the next one. VictorOps is making on-call suck less by tackling the entire incident lifecycle and sticking with your team through resolution.