HPE GreenLake Cloud Platform DSCC (Data Services Cloud Console)
HPE Storage Portfolio Guide
HPE Storage hardware portfolio
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HPE Alletra Storage MP
Mixed and Mid Ent. /Edge Apps
2U All-NVMe A/A Array 100% Availability Guaranteed AI-driven
HPE Alletra / Apollo 4000
Power data-centric workloads and data-driven
initiatives with
next-generation data storage servers
HPE GreenLake Cloud Platform
Data Services Cloud Console
Infrastructure management and discovery tools
HPE GREENLAKE
EDGE-TO-CLOUD PLATFORM
How it all fits together
Data Services Cloud Console (Storage Console)
Examples: common capabilities such as authentication, authorization, tunnel, search, notifications, etc.
Cloud Infrastructure Services (Storage Management)
Examples: Data Ops Manager, Block Storage, CloudPhysics, Private Cloud, Audit, Setup Service
Cloud Data Services (Data Management)
Examples: Backup and Recovery, Zerto DR*, Data Migration, Data Security/Compliance
Data Infrastructure (Storage Hardware)
Examples: Cloud Native HPE Alletra including MP, 9k, 6k, 5k and all future products plus previous generation block storage (HPE Primera, HPE Nimble Storage (AF and HF)) and HPE Alletra/Nimble Storage dHCI
HPE GreenLake Storage and Data Services portfolio delivered through Data Services Cloud Console
Data Services Cloud Console
Data Services Cloud Console (DSCC) is HPE Storage’s software-as-a-service-based console that provides customers and partners access to storage management (Cloud Infrastructure) and data management (Cloud Data) services. DSCC also provides some common capabilities such as authentication, authorization, search, notifications. DSCC supports single sign-on (SSO) and multi-factor authentication access, role-based access control, secure communications and an audit log.
Data Services Cloud Console Seismic Briefcase
HPE Storage positioning and lead with architecture for solution workloads
HPE Data Ops Manager
Self-service experience
No specialists required
• Power up device and connect to the network
• New device auto-discovered and activated
• Pre-defined configuration parameters
HPE Data Ops Manager Seismic Briefcase
HPE Data Ops Manager—delivered through the Data Services Cloud Console, enables global management and monitoring of data infrastructure from anywhere, from any device, and intent-based provisioning that brings a paradigm shift from LUN-centric to AIdriven, app-centric storage provisioning. Bringing the power of cloud agility, speed and simplicity to data infrastructure wherever it lives delivers transformational outcomes, empowering organizations to manage data infrastructure in 99% less time. This enables IT to reduce operating costs while optimizing resource utilization, move to a generalist model, and shift from managing storage to managing data, thereby refocusing resources and skills on higher value strategic initiatives.
Who Benefits from Unified DataOps?
Data touches everyone in your organization, and the benefits of Unified DataOps similarly extend across your teams, enabling everyone to unleash data, agility, and innovation
IT professionals can simplify everything
Quit fighting fires and instead focus on leveraging increased operational agility, automation, and resource efficiency.
Data managers can protect data everywhere
Enjoy operational simplicity and unprecedented protection from threats and disruptions for apps and data across clouds..
Data innovators can speed time to market
Accelerate dev cycles with fast, secure, self-service data access for developers, analysts, and data scientists.
CIOs can eliminate risk and waste
Get unlimited visibility into how data is stored and utilized, driving value while eliminating compliance and governance risk.
QuickSpecs—HPE Data Services
HPE Storage positioning and lead with architecture for solution workloads
HPE InfoSight
HPE InfoSight is the industry’s most advanced artificial intelligence for infrastructure that applies advanced machine learning to transform how infrastructure is managed and supported. It optimizes where data should live across hybrid cloud with real-time context and visibility to applications and infrastructure.
AI-driven recommendations offered by HPE InfoSight
• Automatic: Available at any time to every customer across the globe
• Preemptive: Sees ahead of bottlenecks before they can impact your business
• Extensive: Using machine learning to predict the long tail of complex and unique problems
• Prescriptive: Offers actionable steps based on learnings from our global install base
Transformed experience
86% Issues Predicted and Prevented* Through predictive analytics and support automation, we’ve been able to predict and automatically resolve 86% of problems before customers even recognize there is an issue.
Autonomous and self-improving
99.9999% Proven Measured Availability* Our infrastructure is always self-improving; our measured availability today stands at 6–9s and with our predictive and preventive capabilities, this keeps going up over time.
Effortless management
79% Lower Storage Operational Expenses* With global visibility and AI-based recommendations delivered through HPE InfoSight, managing infrastructure has become effortless for our customers
HPE CloudPhysics
HPE CloudPhysics Business Outcomes
• Move from guess work to smarter IT – 15 minutes to insights. No hardware, no software, zero future maintenance
• Optimize workloads across Edge to Cloud – Save up to 80% of time, in assessing hybrid cloud readiness.
• Transform the IT purchasing experience – Save up to 50% in costs when ‘right-sizing’ VMs to optimally fit resource needs.
HPE CloudPhysics Seismic Briefcase
HPE CloudPhysics is a SaaS-based Big Data analytics platform for virtualized infrastructures. HPE CloudPhysics provides data-driven insights to improve IT performance, ROI, and data protection through analysis of IT metadata. This platform allows correlation of various types of data, advanced analytics and modeling, and comparison of metrics and statistics against those derived from our global customer base. HPE CloudPhysics is also extremely customizable for your environment and far exceeds the capabilities of mainstream analysis tools.
What problems does HPE CloudPhysics solve?
Most IT organizations have one or more tools to analyze their IT infrastructure. However, there are several significant limitations associated with these types of tools:
• Limited and inflexible views of the data center
• Limited data collected
• Limited analysis and data-driven intelligence provided
• Limited impact due to lack of proactive/predictive insights
• Limited customization
• Limited usage by IT
• Limited usability due to heavy system requirements and need for ongoing maintenance and management
With HPE CloudPhysics, IT professionals can:
• Stop managing local resources demanded by other monitoring applications during an assessment. Many of these applications require large datastore, CPU, and memory resources. The demand on these resources can be eliminated with HPE CloudPhysics.
• Analyze health results via standard or custom analyses that leverage sophisticated modeling to see actionable insights related to a variety of use cases, such as operational hazards, performance tuning, and planning.
• Access the platform securely from anywhere at anytime and share the information however they choose throughout the organization and with service providers