Search results for InFrame

Encore is the backend development platform that automates infrastructure for seamless development, from local to your cloud. Develop your backend locally with instant infrastructure, preview PRs in dedicated environments, and skip tedious infrastructure-as-code with automatic infrastructure setup in your cloud (AWS & GCP).

Sysdig Monitor allows you to maximize the performance and availability of your cloud infrastructure, services, and applications. Built on open source, it provides immediate, deep visibility into rapidly changing container environments. You can resolve issues faster by using granular data derived from actual system calls enriched with cloud and Kubernetes context along with Prometheus metrics. Remove silos by unifying data across teams for hybrid and multi-cloud monitoring.

CloudPe is a global cloud solutions provider dedicated to transforming businesses with cutting-edge, scalable, and secure cloud technologies. CloudPe serves as a trusted partner for organizations seeking reliable cloud infrastructure, cost-efficiency, and customer-centric services.

Railway is a cloud platform designed to simplify the deployment, management, and scaling of applications and databases. It offers developers an intuitive interface to build, deploy, and monitor projects efficiently, eliminating the complexities traditionally associated with infrastructure management. By integrating services, databases, and storage solutions seamlessly, Railway empowers teams to focus on delivering quality code without the overhead of configuring and maintaining servers. Key Features and Functionality: - Simplified Deployments: Deploy applications effortlessly using Docker images, GitHub repositories, or local repositories. - Integrated Databases: Provision and manage databases like PostgreSQL, MySQL, MongoDB, and Redis with built-in backup support. - Scalable Resources: Adjust CPU, memory, and storage resources dynamically to meet varying workload demands. - Persistent Storage Volumes: Attach high-performance storage volumes up to 256TB with over 100,000 IOPS. - Cron Jobs: Schedule and automate tasks with configurable intervals using crontab expressions. - Templates: Utilize over 800 customizable templates to deploy complex collections of services and databases. - Environment Variable Management: Securely manage secrets and environment variables across your application stack. - Networking: Expose applications to the public internet with up to 10 Gbps transfer speed and free Railway domains, while also supporting private networking with high-speed internal connections. - Custom Domains and TLS Management: Use custom domains with managed TLS certificate creation and automatic renewal. - Scaling Options: Support for vertical scaling up to 32 vCPUs and 32+ GB RAM per service, horizontal scaling with multiple replicas, and global scaling across various regions. - Monitoring and Observability: Access build and deployment logs with retention up to 90 days, configurable dashboards for resource usage, and set alerts for performance metrics. - Development Lifecycle Management: Isolate environments, manage pull request deployments, and perform rollbacks with ease. - API and CLI Support: Interact with Railway through a comprehensive API and command-line interface for streamlined operations. Primary Value and User Solutions: Railway addresses the challenges developers face in deploying and managing infrastructure by providing a unified platform that abstracts the complexities of server management. It enables rapid deployment of applications and databases without the need for deep infrastructure knowledge, allowing developers to focus on building and improving their products. With features like scalable resources, integrated databases, and comprehensive monitoring tools, Railway ensures that applications can grow seamlessly with user demand. Its pay-per-use pricing model ensures cost-effectiveness, making it an ideal solution for projects of all sizes, from hobbyist endeavors to large-scale enterprise applications.

Alibaba Cloud Elastic Compute Service (ECS) provides fast memory and the latest Intel CPUs to help you to power your cloud applications and achieve faster results with low latency. All ECS instances come with Anti-DDoS protection to safeguard your data and applications from DDoS and Trojan attacks.

Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-installed, enabling users to deploy and scale machine learning models efficiently on Google Cloud's infrastructure. Key Features and Functionality: - Pre-installed Frameworks: Support for TensorFlow Enterprise, TensorFlow, PyTorch, and generic high-performance computing, catering to various machine learning needs. - Operating System Options: Based on Debian 11 and Ubuntu 22.04, providing flexibility and compatibility with different environments. - Comprehensive Python Environment: Includes Python 3.10 with a suite of libraries such as NumPy, SciPy, Matplotlib, Pandas, NLTK, Pillow, scikit-image, OpenCV, and scikit-learn, facilitating a robust development experience. - JupyterLab Integration: Offers JupyterLab notebook environments for rapid prototyping and interactive development. - GPU Acceleration: Equipped with the latest NVIDIA drivers and packages, including CUDA 11.x and 12.x, CuDNN, and NCCL, to leverage GPU capabilities for accelerated computation. Primary Value and User Solutions: Deep Learning VM Images streamline the setup process for machine learning projects by providing ready-to-use environments with pre-installed frameworks and tools. This reduces the time and effort required for configuration, allowing data scientists and machine learning practitioners to focus on model development and experimentation. The integration with Google Cloud's scalable infrastructure ensures that users can efficiently manage and scale their machine learning workloads, whether they require CPU or GPU resources. Regular updates and community support further enhance the reliability and performance of these VM images, making them a valuable resource for accelerating machine learning initiatives.

VyOS is a community-driven Linux-based network operating system for routers and firewalls.

SUSE Linux Enterprise Server is a world-class, secure open source server operating system, built to power physical, virtual and cloud-based mission-critical workloads.

Cloud VPS servers: Deploy ready-made virtual servers configurations in the USA and Europe in just 1 minute. Our servers are powered by the vStack hyper converged platform and the bhyve hypervisor.

Turbopuffer is a serverless vector and full-text search database designed for high-performance, cost-effective, and scalable search capabilities. Built from first principles on object storage, it enables efficient similarity search and retrieval for modern data-driven applications. Turbopuffer is trusted by leading companies for production workloads, handling trillions of documents and millions of writes per second. Key Features and Functionality: - Serverless Architecture: Eliminates the need for provisioning and managing dedicated search clusters, reducing operational complexity. - Object-Storage-Backed Indexes: Utilizes object storage as the durable system of record, ensuring cost efficiency at large scales. - Hybrid Retrieval: Supports vector search, full-text search, and the combination of both for comprehensive ranking capabilities. - Filtering Support: Allows attribute-based indexing to constrain searches by metadata and business rules. - Incremental Indexing: Ensures new data is indexed continuously, allowing for immediate searchability. Primary Value and User Solutions: Turbopuffer addresses the challenges of high costs and operational complexity associated with traditional vector databases. By leveraging a serverless architecture and object storage, it offers significant cost savings—up to 10 times cheaper than alternatives—while maintaining high performance and scalability. This makes it ideal for AI applications, semantic search, recommendation systems, and any use case requiring efficient similarity search. Users benefit from reduced operational burdens, flexible retrieval options, and the ability to handle massive datasets efficiently, enabling more ambitious product development and data utilization.

Making big data simple

Giving more payment options to your customers is a proven way to increase sales. eWAY’s flexible, award-winning solutions make it easy to tailor the payment process to suit your business.

Red Hat Ansible Automation Platform is a simple way to automate apps and infrastructure. Application Deployment + Configuration Management + Continuous Delivery.

The Chef enterprise automation portfolio includes 4 workload aligned solutions: Infrastructure Management; Compliance Audit; Application Delivery; and Desktop Management, all solutions are built upon Chef open-source tools: Chef Infra, InSpec, Habitat, Workstation and Automate.

Firstbase is a single platform to equip global teams. We help them set up, support, and scale distributed teams by automating the employee & asset lifecycle, getting critical equipment to & from employees wherever they are in the world. Our platform is used by startups to global enterprises to handle all their equipment and asset management needs.

As the only fully integrated, preconfigured, and pre-tested VMware hyper-converged infrastructure appliance family on the market, VxRail dramatically simplifies IT operations, accelerates time to market, and delivers incredible return on investment.

Centreon develops enterprise IT monitoring solutions based on industry standard open source.

Helping you stay up and running from simple to the most complex environments

IBM's platform-as-a-service (IBM SmartCloud Application Services) delivers a secure, collaborative cloud-based environment that supports a full lifecycle of accelerated application development, deployment and delivery.

Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large scale systems.