HubBucket Artificial Intelligence - AI and Automated Machine Learning AutoML Software Defined Network - SDN Hyper-Converged Infrastructure for Health Care Providers / Healthcare Organizations and Health Information Technology - HealthIT
HubFabric is compliant with:
- The Health Insurance Portability and Accountability Act - HIPAA
- The Health Information Technology for Economic and Clinical Health Act - HITECH
- The Patient Protection and Affordable Care Act - PPACA / Affordable Care Act - ACA
- The California Consumer Privacy Act - CCPA
- The New York State Data Privacy Act - NYSDPA
- The General Data Protection Regulation (2016/679) - GDPR
- Fast Healthcare Interoperability Resources - FHIR standards
Fast Healthcare Interoperability Resources - FHIR
Fast Healthcare Interoperability Resources is a draft standard describing data formats and elements and an application programming interface for exchanging electronic health records. The standard was created by the Health Level Seven ("HL7") International Healthcare standards organization.
Hyper-Converged Infrastructure - HCI is a Software-Defined Information Technology - IT infrastructure that virtualizes all of the elements of conventional "hardware-defined" systems. HCI includes, at a minimum, virtualized computing, a virtualized Storage Area Network - SAN and virtualized networking.
Hyper-Converged Infrastructure - HCI combines common datacenter hardware using locally attached storage resources with intelligent software to create flexible building blocks that replace legacy infrastructure consisting of separate servers, storage networks, and storage arrays.
Hyperconvergence also spelled hyper-convergence, is a software-centric architecture that tightly integrates compute, storage and virtualization resources in a single system that usually consists of x86 hardware. A hyper-converged system can also be sold as software that can be installed on a buyer's existing hardware or as hardware purchased specifically for the installation.
A Hyper-Converged system allows the integrated technologies to be managed as a single system through a common tool set. Most hyper-converged systems require a minimum of three hardware nodes for high availability and can be expanded through the addition of nodes to the base unit. A grouping of nodes is known as a cluster.
Storge Node / Node
A storage node is typically a physical server with one or more Hard-Disk Drives - HDDs or Solid-State Drives - SDDs. A storage node can also be a Virtual Machine - VM or Virtual LUN with access to one or more HDDs and/or SSDs.
Virtual storage nodes have historically been less common due to the potential consequence of unpredictable performance and latency. The emergence of Virtual Storage Area Network - VSAN technology has led to an increase in the use of virtual storage nodes.
A collection of storage nodes is often clustered together and managed through software as a single pool of storage. One of the main advantages of a system that uses multiple storage nodes is data availability in the event of a component failure. If an HDD or SDD or a storage node fails, the system is able to continue to deliver data from the working nodes.
Why Healthcare providers are moving to Hyperconvergence
The all-in-one characteristics of the hyper-converged data center are attractive to Information Technology - IT professionals who are used to having to piece these components together themselves or with the sometimes-costly assistance of vendors and IT consultants. Hyperconvergence also enables generalists to administer the systems.
Hyperconvergence is a good option for Healthcare organizations that have heavily invested in virtualization technologies, but are still having difficulty with the complexity and cost of data protection and storage. It is also a highly attractive technology for enterprises that would prefer to focus their time, money and employee resources more on the operational aspects of their business and less on maintaining infrastructure.
However, the risk of Vendor Lock-In does exist.
For example, you can't combine nodes from one hyper-converged vendor with those of another should the latter offer you a better deal or provide the balance of compute, storage and networking resources you require in new nodes at some future date.
In spite of the technical and financial rigidity associated with Hyperconvergence, the Total Cost of Ownership - TCO is often lower than the alternative. Let's say a Healthcare organizationu wanted to migrate their entire Health Information Technology infrastructure to the cloud, which is a popular alternative to going hyper-converged today. If they took a hyper-converged approach, they would simply add or remove nodes to increase or decrease resources. With the cloud, you may have to migrate to another cloud service should your current provider not support their expansion plans, which is an expensive and often complicated process in its own right.
How does Hyperconvergence work?
A Hyper-Converged platform typically integrates compute, storage and networking with an often intelligent and automated Software-Defined Datacenter - SDDC management system and software layer that defines the operational aspects of that infrastructure. Not all SDDC architectures are hyper-converged, however, including those that feature disparate, nonintegrated hardware platforms and components.
A Hypervisor designed or modified by the vendor specifically to work with its product, i.e., orchestrates storage, compute and networking provisioning. Because a Hyper-Converged system virtualizes all resources, those resources can be adjusted to accommodate more or less Virtual Machines - VMs on the fly without having to suspend the activity of any VM running at the time.
Once the number of VMs has reached the capacity of the hyper-converged infrastructure, scaling is as easy as adding more nodes. New Nodes, with compute, storage and networking resources can be added to the overall storage pool to be shared among the VMs.
Single-pane-of-glass management provides administrators with a comprehensive view of the state of the IT environment they are managing by integrating and presenting data from various data sources in a console that unifies setup, configuration, management and monitoring.
Hyper-Converged vendors often build in data protection, i.e., mirroring, replication, striping, erasure coding and so on.., for reliability and data reduction purposes, as well as Backup and Recovery, Disaster Recovery - DR, and other Business Continuity - BC features. Bundled software also often includes support for automation, VM migration, management tools, load- and resource-balancing, and the ability to implement rolling updates while VMs continue to run. Automatic failover means losing a computer node or storage device won't bring down individual VMs or the system as a whole.
Why is Hyperconvergence important to Healthcare organizations?
Hyperconvergence helps improve the management of virtual Health Information Technology - HealthIT/HIT environments, serves as a building block for the cloud and changes the roles of IT teams.
Healthcare organizations should know exactly what they are getting when purchasing HCI, with a guarantee that the various components will work well together and are easily managed. When it is time to add and scale IT resources, the process should be as simple as buying and linearly plugging in another auto-discoverable node from your hyper-converged systems vendor.
Perhaps, most importantly of all, there is no need for HealthIT support staff, i.e., System Engineers, Network Engineers, Software Engineers, etc., to have to separately manage and configure servers, storage, hypervisors and network devices in a hyper-converged environment.
Hyperconvergence vs. Converged
In a Converged Infrastructure, the server, compute and networking components remain separate and are not integrated into nodes as they are with Hyper-Converged systems. Converged infrastructure basically provides a recipe to customers on how to buy preapproved, best-of-breed components that are guaranteed to work together properly.
The Hypervisor is also more tightly integrated in Hyper-Converged systems than in converged systems. While most converged infrastructures support VMware and, usually, other hypervisors, a Hyper-Converged Infrastructure - HCI runs all key Datacenter functions as software on the Hypervisor.
An early promise of Hyperconvergence included networking in the stack, but that is still in the early stages. Hyper-Converged vendors are still working on providing and managing network resources in the same way they support data storage and compute.
Converged Infrastructure, sometimes known as Converged Architecture, is an approach to Datacenter Management that packages compute, networking, servers, storage and virtualization tools on a prequalified turnkey appliance. Converged systems include a toolkit of management software. The goal of converged infrastructure is to reduce complexity in data center management. The principle design factor is to eliminate issues of hardware incompatibility. Ease of deployment of converged infrastructure is appealing to enterprises that write cloud-native applications or host an Internal Hybrid-Cloud or Private Cloud.
Gartner classifies Converged Infrastructure, along with Hyper-Converged Infrastructure - HCI, within the category of Integrated Infrastructure Systems or Integrated Stack Systems.
What are the Benefits and Drawbacks of Hyber-Converged Infrastructure - HCI?
The tight integration of the components in a Hyper-Converged Infrastructure - HCI provides its primary benefits:
- Ease of management
- Ease of scaling
Because all of the components have been designed from the ground up or modified by the vendor to work tightly together, it is possible to manage all resources from one management tool or console, including compute, storage networking and virtualization.
Hyper-Converged Infrastructure - HCI Benefits and Drawbacks
When a Healthcare organization needs more HealthIT resources, expanding the HCI is simply a matter of adding more nodes. This also leads to one of the primary drawbacks of a Hyper-Converged Infrastructure - HCI:
- All resources must be increased when an organization needs to increase any one resource.
- Early HCI products required an organization to expand all compute resources and the number of Virtual Machines - VMs when expanding storage.
- To ease this problem, newer HCI platforms include nodes that are either storage- or compute-centric.
The Future of Hyperconvergence
- Expect Hyper-Converged Systems to become more and more powerful as performance continues to improve due to advancements in Solid-State Drive - SSD technology, such as Nonvolatile Memory Express - NVMe which enables servers to do a lot more with fewer units per workload.
- The arrival of Storage-Class Memory - SCM. specifically SCM NVDIMMS, will also enable more instances per server by acting as a DRAM expander and as OSes and compilers start to support it will greatly speed application performance.
- Further down the road, variations on Hybrid Memory Cube Architecture that bring CPU and DRAM closer to one another, wider bandwidths to better connect DRAM to CPUs, and increasing amounts of L4 cache on CPUs could lead to tremendous improvements in Hyper-Converged performance. In addition, plans to make HCI memory shareable over an entire cluster could eventually raise performance even higher. SSD capacities continue to skyrocket, with a 100 GB SSD drive announced already.
- Meanwhile, newer, tinier and faster form-factor SSDs. such as those based on the M.2. specification will help lead Hyper-Converged nodes to previously unheard amounts of storage capacity in ever-smaller appliances. For example, a single 3.5-inch drive bay can hold 10 M.2. SSD cards.
- Vendors are also addressing a major complaint with Hyperconvergence, which is the inability to purchase storage capacity separate from compute power for applications. Some now offer nodes that tilt in one direction or the other compute or capacity.
- A related trend, known as disaggregation, could also gain more traction in hyperconvergence circles in the near future. Disaggregation aims to boost resource utilization rates far above what they are today, therefore reducing data center cooling, power and space requirements in the process.
- The goal is to make Hyper-Converged systems more flexible and resource-use efficient by pooling specific types of functionality, i.e., compute, flash capacity, memory, hard disk drive capacity and so on, across all nodes and making them available to all applications in a Hyper-Converged Infrastructure - HCI.
HubBucket Fabric ("HubFabric") / HubBucket Artificial Intelligence – AI HyperConverged Infrastructure for HealthIT
HubFabric couples AI, in addition to Machine Learning and Deep Learning algorithms with Hyper-Converged Infrastructure - HCI. This integration enables the the HCI to become truly intelligent, and able to tackle the rigors of a Health Information Technology - HealthIT/HIT environment.
- Artificial Intelligence - AI
- Machine Learning models and algorithms
- Deep Learning models and algorithms
Automated Machine Learning - AutoML and Robotic Process Automation - RPA
We continue to improve upon the integration of Automated Machine Learning - AutoML and Robotic Process Automation in HubFabric. The incorporation of AutoML and RPA in HubFabric will greatly reduce the extensive work that HealthIT/HIT professionals have to do in order to ensure the effective and reliable delivery of Health Information Technology - HealthIT/HIT services, i.e., Continuous Integration and Continuous Delivery - CI/CD.
HubFabric is designed and developed specifically for Healthcare Providers
Healthcare organizations have to comply with a set of regulatory requirements that is unique to the Healthcare Industry, and set by both U.S. Federal and State governments.
- Health Information Technology - HealthIT/HIT
- Health Technology - HealthTech
- Medical Technology - MedTech
- Mobile Health Technology - mHealth
- Internet of Medical Things - IoMT
HubFabric is designed and developed to support HealthIT/HIT in various environments, such as:
- Cloud Computing
- Edge Computing
- Fog Computing
HubFabric can be integrated with:
- Composable Infrastructure
- Software-Defined Networking - SDN
- Object Storage
- Converged Infrastructure
- Development and Operations - DevOps
- Software-Defined Infrastructure Control - SDIC
- Infrastructure as Code - IaC