Chainguard
Chainguard Containers are a curated catalog of minimal, zero-CVE container images backed by a leading CVE remediation SLA—7 days for critical vulnerabilities, and 14 days for high, medium, and low severities—helping teams build and ship software more securely.
Contemporary software development and deployment pipelines demand secure, continuously updated containerized workloads for cloud-native environments. Chainguard delivers minimal images built entirely from source using fortified build infrastructure, including only the essential components required to build and run containers. Tailored for both engineering and security teams, Chainguard Containers reduce costly engineering effort associated with vulnerability management, strengthen application security by minimizing attack surface, and streamline compliance with key industry frameworks and customer expectations—ultimately helping unlock business value.
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Google Cloud Run
A comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.
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Cruz Operations Center (CruzOC)
CruzOC serves as a versatile network management and IT operations platform that accommodates multiple vendors while being scalable for diverse needs. This user-friendly tool offers powerful features for netops, including automated management capabilities that encompass performance and configuration management, as well as lifecycle management for thousands of vendors. With CruzOC, administrators can streamline data center operations and manage critical resources more effectively. The platform enhances the quality of both network and services, accelerates deployment processes, and reduces operational costs. Ultimately, it delivers a centralized solution for comprehensive and automated problem resolution through a single interface. Additionally, CruzOC includes monitoring and analytics for network health, traffic, logs, and changes, along with automation for compliance and security measures, orchestration, and provisioning tasks. Its automated deployment features, such as auto-deploy, zero-touch provisioning (ZTP), and remote deployment, ensure that installations are seamless. The solution is flexible, offering deployment options both on-premises and in the cloud, catering to various organizational preferences and requirements.
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VMware vSphere
Leverage the power of the enterprise workload engine to improve efficiency, enhance security measures, and foster innovation within your company.
The newest iteration of vSphere delivers essential services designed for the current hybrid cloud landscape. It has been revamped to include integrated Kubernetes, enabling traditional enterprise applications to run smoothly alongside modern containerized solutions. This transformation aids in updating on-premises infrastructure through efficient cloud integration. By adopting centralized management systems, obtaining global insights, and applying automation, productivity can be significantly enhanced. Furthermore, you can take advantage of additional cloud services to optimize your operations. In response to the needs of distributed workloads, networking capabilities on the DPU are fine-tuned, resulting in better throughput and lower latency. This strategy also frees up GPU resources, which can be utilized to accelerate the training of AI and machine learning models, even those that are more complex. Ultimately, this cohesive platform not only simplifies operations but also facilitates your organization’s advancement in a rapidly changing digital environment, allowing for sustained growth and adaptation.
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