Our tailor-made hosting solutions are perfect for both ordinary users and businesses who are looking for reliability and high standards. Our main goal is to ensure that our services are available and fast. To achieve this goal, we work with the best data centres around the world, specifically Tier 2 & Tier 3. Our users can access dedicated servers in the United States and Canada, as well as the Netherlands, Poland and more than 17 other locations.
Our clients choose us for our flexible payment options, affordable pricing plans and quick technical support. All of our VPS nodes are virtualized with KVM and come with a 1 Gbps port. Several also have 10 Gbps ports. All of our data centres are carrier-neutral so we have multiple uplinks at each location.
We only offer modern servers from Dell, SuperMicro and HP. We use Juniper and Cisco for the network part. We are always expanding our reach, and we would love to be your long-term partner.
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Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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Tornado Web Server
Tornado is a web framework for Python that also serves as an asynchronous networking library, initially created at FriendFeed. Utilizing non-blocking network I/O, it has the capability to manage tens of thousands of simultaneous connections, making it particularly suited for applications requiring long-lived user connections, such as long polling and WebSockets. Unlike most Python web frameworks, Tornado does not follow the WSGI standard and is primarily operated with a single thread per process. Although the tornado.wsgi module offers some WSGI compatibility, it is not the main focus of development, and developers are encouraged to utilize Tornado’s own interfaces, like tornado.web, for building applications. It is important to note that Tornado code is generally not designed to be thread-safe. Since version 5.0, Tornado has been integrated with Python's standard library asyncio module, sharing the same default event loop. This integration allows for seamless mixing of libraries that are built for asyncio with Tornado, enhancing its versatility and functionality. As a result, developers can create highly efficient applications that leverage both Tornado's strengths and asyncio's capabilities.
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WindowsLDP
WindowsLDP, short for Load Distribution Program, serves as a quasi-static tool for the design and analysis of both external and internal spur and helical gear pairs. This software has been widely adopted by many consortium members as their primary resource for gear design and analysis. There are also modified versions of this program that facilitate surface wear and duty cycle evaluations. Utilizing computationally efficient and precise semi-analytical methods, WindowsLDP calculates the load distribution across multiple engaging teeth of gears. Based on this load distribution data, it assesses the loaded transmission error, along with root and contact stress distributions, mesh stiffness functions, and tooth forces, while also providing insights into other relevant design parameters such as lubricant film thickness and surface temperature. Users can select either SI or English units for their analyses, enhancing flexibility in application. Additionally, WindowsLDP supports multi-torque analyses and evaluations of manufacturing robustness, making it a comprehensive tool for gear design. The program's versatility allows engineers to tailor their analyses to specific project requirements effectively.
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