
Veeam Data Platform is an enterprise data resilience platform built to protect data, ensure clean recovery, and support workload portability across hybrid and multicloud environments. The platform brings together backup, recovery, security, monitoring, threat detection, storage, orchestration, governance, and compliance into a unified data protection architecture. Veeam helps organizations recover from cyberattacks, outages, accidental deletion, infrastructure failures, and ransomware with confidence. Its AI-powered threat defense scans at backup and restore, helping teams identify threats before recovery and validate that restore points are clean. Workload mobility capabilities allow organizations to move data and workloads across hypervisors, clouds, storage systems, and platforms without vendor lock-in. Veeam also supports disaster recovery, multicloud protection, immutability, retention automation, DR testing, audit-ready reporting, and data sovereignty controls. Platform editions include Foundation for backup and recovery, Advanced for proactive monitoring and analytics, and Premium for orchestration and full cyber resilience. Add-ons such as Veeam Data Cloud Vault provide immutable cloud storage for organizations expanding their resilience strategy. By combining data protection, cyber resilience, recovery orchestration, threat detection, governance, and portability, Veeam Data Platform helps enterprises keep data secure, recoverable, and ready for modern AI-driven operations.
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JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows.
JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control.
JS7 can operate thousands of Agents across any platform in parallel.
Platforms
- Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc.
- True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid cloud and on-premises use
User Interface
- Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers
- Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows.
- Multi-client functionality, role-based access management
- OIDC authentication and LDAP integration
High Availability
- Redundancy & Resilience based on asynchronous design and autonomous Agents
- Clustering of all JS7 Products, automatic fail-over and manual switch-over
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IBM Z
As we navigate an era characterized by rapid innovation and transformation, businesses increasingly seek adaptability and portability while updating their application and IT frameworks. The IBM® Z® ecosystem provides an open, cloud-native platform that incorporates essential features such as AI capabilities, resilience, and robust security. This enables the consistent development of AI-driven applications that can be deployed across various environments. Count on IBM Z's purpose-built hardware and software solutions to safeguard your critical data and applications effectively. Additionally, explore customized pricing options that align with your unique business needs and the specifics of your IBM Z setup. This flexibility, combined with cutting-edge technology, empowers organizations to thrive in a dynamic digital landscape.
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IBM z16
The IBM z16 platform introduces cutting-edge AI capabilities and robust cyber resilience for hybrid cloud environments, utilizing pioneering on-chip AI inferencing alongside first-of-its-kind quantum-safe technologies. This development enhances hybrid cloud solutions, significantly reducing the risks associated with modernization and positioning itself as a crucial element for successful digital transformation. With the ability to speed up decision-making processes, businesses can gain the agility needed to advance effectively. Additionally, the platform operates with a reduced energy footprint, which helps lower costs while prioritizing sustainability throughout the entire product lifecycle. AI integration is purposefully designed to enable faster and more informed decision-making at scale. By embedding AI within enterprise transactional processes, organizations can uncover valuable business insights that differentiate between seizing revenue opportunities and facing financial losses due to fraud. This innovative approach not only drives efficiency but also empowers businesses to navigate the complexities of the modern digital landscape.
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