Yeastar P-Series PBX System
Focusing on delivering "Easy-first Unified Communications", Yeastar P-Series Phone System offers companies of all sizes with a complete package for calls, video, messaging, and integrations, out of the box.
Available in the Appliance, Software, and Cloud Editions, P-Series provides flexible deployment options, allowing you to have it sited on-premises or in the cloud. Balancing costs and future growth, it requires a lower total cost of ownership, less training, and fewer management efforts. The ease of use and future-proof adaptability are paramount.
Learn more
Dragonfly
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.
Learn more
syzkaller
Syzkaller functions as an unsupervised, coverage-guided fuzzer aimed at exploring vulnerabilities within kernel environments, offering support for various operating systems such as FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Originally designed with a focus on fuzzing the Linux kernel, its capabilities have been expanded to encompass additional operating systems over time. When a kernel crash is identified within one of the virtual machines, syzkaller promptly initiates the reproduction of that crash. By default, it operates using four virtual machines for this reproduction process and subsequently works to minimize the program responsible for the crash. This reproduction phase can temporarily halt fuzzing activities, as all VMs may be occupied with reproducing the identified issues. The duration for reproducing a single crash can vary significantly, ranging from mere minutes to potentially an hour, depending on the complexity and reproducibility of the crash event. This ability to minimize and analyze crashes enhances the overall effectiveness of the fuzzing process, allowing for better identification of vulnerabilities in the kernel.
Learn more
ORS Dragonfly
Dragonfly is a robust, adaptable, and easy-to-use software that provides quantitative solutions for a wide range of imaging studies, such as 2D, 3D, and 4D analyses, effectively handling data from various imaging systems like correlative and hyperspectral imaging, X-ray, SEM, FIB-SEM, ion beam, and confocal microscopy, along with other sophisticated applications. With its interactive inspection tools and comprehensive quantification workflows, users can achieve in-depth understanding of material structures and properties. The software offers a suite of post-processing capabilities, including data restructuring, filtering, volume and slice registration, and image stitching. Additionally, it features powerful segmentation tools that enable precise labeling of image characteristics. Dragonfly also addresses image enhancement and segmentation challenges with its advanced Deep Learning solutions. Users are empowered to streamline their 3D analysis processes through easily created macros. By integrating Deep Learning into its functionalities, Dragonfly transforms the landscape of image processing, providing access to the only commercially-supported Deep Learning engine that allows for the training and execution of custom networks, which significantly enhances the overall user experience. This innovative approach ensures that both novice and experienced users can tackle complex imaging tasks with confidence and efficiency.
Learn more