5.0 out of 5 stars
(1 Rating)
Mainframe environments run the heart of your business, making them a prime target for threats. You can't afford to leave mission-critical data exposed to undetected risks.
Rocket® z/Assure™ Vulnerability Analysis Program (VAP) is a specialized mainframe security solution designed to proactively scan, identify, and resolve vulnerabilities before they impact your operations. By automating deep system-level scans, we help you eliminate blind spots and strengthen your overall security posture. Our tool provides the actionable insights your security team needs to remediate risks quickly, ensuring your infrastructure remains resilient and compliant.
Key benefits for your security team:
- Identify and resolve vulnerabilities across your mainframe environments automatically.
- Safeguard mission-critical data against evolving internal and external threats.
- Streamline your compliance audits with detailed, actionable security reporting.
Partner with Rocket Software today to secure your mainframe and build a resilient foundation for the future.
Learn more about Rocket z/Assure VAP
4.4 out of 5 stars
(1169 Ratings)
Google's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
Learn more about Google Compute Engine
Dev-C++
5.0 out of 5 stars
(1 Rating)
Embarcadero Dev C++ represents a modernized version sponsored by Embarcadero, merging the features of both Orwell Dev C++ and Bloodshed Dev C++. This comprehensive Integrated Development Environment (IDE) and code editor is designed for C/C++ developers, utilizing the Mingw port of the GCC (GNU Compiler Collection) as its compiler. It is compatible with Cygwin and other compilers based on GCC. Constructed using the latest Embarcadero Delphi technology, Embarcadero Dev C++ is tailored specifically for Windows, ensuring a minimal memory footprint without relying on Electron. Additionally, it is optimized to allow for parallel compilation on contemporary multi-core processors, enhancing performance for users engaged in complex coding tasks. This efficient design caters to the needs of modern programmers seeking robust development tools.
Learn more about Dev-C++
NVIDIA HPC SDK
The NVIDIA HPC Software Development Kit (SDK) provides a thorough collection of dependable compilers, libraries, and software tools that are essential for improving both developer productivity and the performance and flexibility of HPC applications. Within this SDK are compilers for C, C++, and Fortran that enable GPU acceleration for modeling and simulation tasks in HPC by utilizing standard C++ and Fortran, alongside OpenACC® directives and CUDA®. Moreover, GPU-accelerated mathematical libraries enhance the effectiveness of commonly used HPC algorithms, while optimized communication libraries facilitate standards-based multi-GPU setups and scalable systems programming. Performance profiling and debugging tools are integrated to simplify the transition and optimization of HPC applications, and containerization tools make deployment seamless, whether in on-premises settings or cloud environments. Additionally, the HPC SDK is compatible with NVIDIA GPUs and diverse CPU architectures such as Arm, OpenPOWER, or x86-64 operating on Linux, thus equipping developers with comprehensive resources to efficiently develop high-performance GPU-accelerated HPC applications. In conclusion, this powerful toolkit is vital for anyone striving to advance the capabilities of high-performance computing, offering both versatility and depth for a wide range of applications.
Learn more about NVIDIA HPC SDK