Choosing the best-fit hyperconverged infrastructure for your business needs

Choosing the best-fit hyperconverged infrastructure for your business needs

IT is under pressure to keep up with the diversifying demands of enterprises undergoing digital transformation. Often, these enterprises deal with a range of issues such as ageing infrastructure, working under tight budgets, or simply seeking ways to address complexity in their data centre and at their distributed sites.

Since debuting over a decade ago, hyperconverged infrastructure (HCI) has remained a popular choice for IT transformation. The main reasons for this are the benefits HCI offers companies over a legacy 3-tiered infrastructure.

Today’s IT teams are struggling to keep up with the demands of digital business. Legacy infrastructure is often slowing down time to market, with limited time to resolve issues whilst supporting new app demands, along with more cost pressures. As we look forward, teams will require dynamic and sophisticated HCI solutions that are easy to manage and maintain. These solutions can help them focus on projects and initiatives that drive their business forward.

IT budgets are finite and often tight. Legacy infrastructure usually has attractive face-value; however initial costs can quickly escalate when considering other factors for separate support, licensing, upgrade, administration, storage provisioning, and power.

Hyperconverged infrastructure addresses these drawbacks by unifying computation, storage, and networking resources into one system. Intelligent software behind the HCI helps abstract underlying hardware into flexible blocks manipulated to achieve various business goals. Hyperconvergence of IT resources enables simplicity of management through unified interfaces.

In hyperconverged infrastructure, storage and networking are software-defined, enabling workloads with flexible architectures. Hyperconverged appliances unify all necessary IT resources in an easily managed footprint deployed across various environments. Support is available through a single vendor.

Important considerations

When selecting a HCI solution, companies should look past the benefits of simplicity, performance and scale. HCI now has the capability of moving beyond software defined infrastructure to AI-driven intelligent HCI. This will be beneficial as we look to the future. Requirements will change to where infrastructure needs to be autonomous, able to predict and prevent disruptions, and self-heal. As IT moves from being reactive to predictive, the need will emerge for infrastructure to optimise itself across distributed environments.

Machine learning and AI are widely used in industry to boost enterprise productivity. In the HCI world, AI enhances storage and automatically manages and optimises application workloads. AI-based hyperconverged infrastructure is particularly beneficial to geographically distributed environments with multi-cloud workloads. AI can help with monitoring, upgrading and securing infrastructure.

AI-driven predictive analytics platforms provide intelligent automation and drive business value by preventing problems before they occur. HPE Infosight, for example, is a global intelligence engine that uses telemetry data from servers across the world to analyse and predict system performance. HPE Infosight is designed to manage infrastructure performance and uptime using AI to forecast and prevent problems before they arise across an infrastructure stack. As a result, the Infosight platform can learn to anticipate the issue and use pattern-matching algorithms to determine if any other system in the installed base will be susceptible. Application performance can be modelled and tuned for new infrastructure based on historical configurations and workload patterns. 

HPE InfoSight determines the appropriate recommendation needed to improve and ensure the ideal environment based on predictive analytics. Recommendations are system operational decisions that free IT and eliminate the guesswork in managing their infrastructure.

Through mutual trust between the infrastructure and HPE InfoSight, recommendations can be applied automatically on behalf of the IT administrators. When automation is not available, specific recommendations can be delivered through support case automation. Complex problems can be resolved with the direct help of HPE’s level 3 experts.

Infosight is an integral part of HPE’s Simplivity and dHCI solutions that helps in their differentiation in the HCI market.

1. Simplivity – intelligent and hyperefficient

HPE Simplivity is a product intended for enterprises of all sizes, but not for all types of users. While Simplivity provides simplicity and flexibility, the scalability is limited to the same kind of nodes. These features best suit customers who have consistent and predictable patterns of usage across both compute and storage for the life of the estate.

Unlike other HCI solutions, Simplivity allows customers to scale compute and storage separately. However, the scaling is possible only if all nodes in the fleet scale in the same way. 

Customers can scale Simplivity based workloads by deploying new nodes. Each node can be tailored to support its specific workloads with the appropriate CPU, storage and memory resources. Simplivity nodes are sized according to the business expectations in 3 to 5 years at the time of deployment. 

Simplivity delivers an intelligently simple solution from deployments to upgrades and is controlled via a single pane of glass. It’s hyperefficient for industry-leading data efficiency that’s edge optimised for admin-free sites, offering high availability in the smallest footprint and provides support for comprehensive data protection direct to cloud. It’s cloud connected, helping customers with their hybrid cloud journey. HPE Simplivity also supports many virtual machine applications including databases, file sharing and virtual desktop infrastructure, like Citrix and VMWare Horizon View.

Simplivity is built for edge computing. Zero administration is enabled by centralised, unified management across all sites, empowering users to seamlessly manage workloads across distributed sites where staff resources are scarce. For superior business continuity, with rapid multi-site failover, businesses can rapidly failover (and failback) virtually any number of edge sites in the event of disaster, using automated efficient VM Mobility and recovery. It maintains two complete copies of the VMs on each cluster, with a minimum of two nodes. Businesses only need two nodes to achieve high availability with all services included, offering users an optimised solution for multi-site/edge deployments in the smallest footprint. 

Simplivity provides superior resiliency to failure and, in the rare instance of multiple concurrent failures, is able to tolerate them without data loss or VM downtime. With built-in disaster recovery and backup architecture, the solution eliminates the need for external backup software along with the resources needed to execute and monitor regular data backups. This means your data is constantly online and recoverable. With the backup and disaster recovery included in the solution, these components are highly performant, enabling restoration of 1TB of VM in less than 60 seconds. 

All data is de-duplicated and compressed, preventing the duplication of VMs across the WAN. As one of the standard Simplivity features, Auto Resource Balancing is a proprietary solution designed to optimise VM performance, ensuring predictable overall performance and giving customers a highly available architecture. Automatic balancing efficiently mitigates storage imbalances by moving virtual machine data that is less than 500GB.

Simplivity supports multiple software versions across the federation. The solution comes with automated firmware, hypervisor, and Simplivity upgrade manager to simplify version control. Simplivity does not incur any costly software licenses or add-ons – all features are included and always on.

Simplivity embeds intelligence through advanced data services. The solution integrates HPE InfoSight, which permits monitoring of data centre infrastructure 24×7. HPE InfoSight can monitor the entire Simplivity federation and provide visibility into virtual machine throughput, I/O, and latency. InfoSight has predictive capabilities, telling you when you will run out of storage based on your operation profile.

With the addition of InfoSight’s machine learning predictive analytics, HPE has set a new standard for intelligent HCI.

2. HPE dHCI – simple and easy-to-use

HPE’s HCI solution called disaggregated HCI (dHCI) is designed for users who want to scale compute and storage layers independently. The solution is built with one of the world’s most secure servers, HPE ProLiant Gen 9 and 10. Users that already leverage this technology can benefit from dHCI directly, a cost-effective approach for resource-conscious IT teams.

The solution is beneficial for users that cannot predict their workload easily. This is especially true for companies going through a digital transformation and unable to forecast the load on their infrastructure as their business evolves. dHCI is suitable for companies of all sizes. Scaling can be done starting with as little as two servers and scale up to 100.

dHCI is a cost-effective solution; however, it does not include disaster recovery and backup out of the box. Users will need to add these components as additional equipment.

dHCI targets IT workloads that change over time. One of dHCI’s primary advantages is its ability to scale to meet those new demands while being simple and easy to use. Its flexible, independent scaling allows you to grow compute and storage independently, extend across a hybrid cloud, with industry-leading data efficiency. The ability to add only the required resources eliminates over-provisioning while still offering the flexibility to grow.

The solution can be set up in less than 15 minutes. Through the dHCI setup software and VMware vCenter plug-in, HPE Nimble Storage dHCI automates server and storage deployment, configuration, provisioning, and cluster setup for the VM admin, eliminating hundreds of manual steps versus converged systems.

HPE dHCI is resilient and can support heavy workload applications while offering 99.9999% availability with sub-ms latency. Through AI-driven HPE Infosight, the solution can predict issues before they occur and self-heal once they do. The solution efficiently scales to the cloud with native data mobility between on-premises and cloud storage while supporting Google Anthos.

3. VMWare vSAN – widespread and cost-effective

If you are already leveraging VMWare-based infrastructure, you may consider a HCI solution based on vSAN. Consisting of a software stack comprised of VMWare VSphere for the compute virtualisation and vSan for storage integration, vSAN can be managed by the business’s existing management tool, vCentre.

vSAN logically pools storage resources across the servers in a network. VMWare’s vSAN runs on a vSphere hypervisor that defines the storage requirements such as performance and availability across the whole cluster. vSAN management software performs administration and maintenance of policies that allow easy automation.

VMWare’s vSAN and vSphere software runs on x86 servers. HPE offers VMware vSAN ReadyNode configurations for HPE ProLiant servers. ReadyNodes are flexible and can be pre-configured to provide ideal performance for any workload – virtualisation, data processing, accelerated infrastructure, or data warehousing. vSAN ReadyNodes are beneficial for customers who are looking for the fastest path to optimised workloads. vSAN can lower your storage costs by 50% or more and HPE can supply the required VMware licenses. The solutions can scale quickly and have enough flexibility to fit any IT environment. 

HPE has recently released their vSAN on HPE’s Gen10 server bundles for Q4. As your IT partner, we can assist in tailoring a server and license package for your business needs.

How to choose the best solution for your needs

HCI has some very compelling benefits, such as simplicity, flexibility, scalability, and cost-efficiency. It allows users to refresh or transform their business faster with lower risk, while making use of existing assets, or continuing to use the same underlying technology. HPE offers HCI solutions that embed these benefits and can satisfy a broad range of workload needs. When choosing a suitable solution for your business, it’s important to consider a wide range of factors, which should result in substantial organisational benefits.  

As your trusted IT partner, we have the expertise and business knowledge to help you plan and maximise your HCI solution.

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Buy Now and Pay Later is here for Business

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Qumulo – Getting so much more from your HPE relationship

Qumulo – Getting so much more from your HPE relationship

Qumulo – Getting so much more from your HPE relationship

Companies experience several pain points when it comes to file storage, some of which you could be seeing in your own organisation. IT workloads are increasing while businesses try to extrapolate more productivity and value from existing legacy platforms.

Some of the repercussions being seen include:

      • Unreliable performance – People working in data-intensive industries such as research environments, universities, or media and entertainment studios with multiple active projects, often struggle with unpredictable user and application performance.
      • Limited Scaling – As your business expands, so too do IT workloads. Every modern enterprise needs to be able to scale its storage to its corporate requirements – easily, instantaneously, and without disruptions to its data centre operations or performance.
      • Availability – When data isn’t available, the disconnect comes at a cost, which grows with each person blocked by unavailable storage. With legacy systems, availability can be unpredictable.

Software-Defined Storage

Software-defined storage (SDS) solutions offer several benefits over the traditional NAS (Network Attached Storage) and SAN (Storage Area Network) approaches. Typically, they are more agile and cost-effective and enable rapid and economical scaling of storage. SDS enables the use of standard x86 based storage hardware, making it easier to perform quick changes on SDS configurations when compared to the storage running on dedicated hardware.

HPE partners with a number of software-defined storage vendors with advanced AI built in. Each one brings a unique capability. Each one can be purchased as HPE SKUs and on HPE products, specifically set up to ensure the third party solution works optimally (such as Komprise via HPE Complete).

One of the best SDS solutions currently available is four-time Magic Quadrant Leader, Qumulo. HPE has partnered with Qumulo, to offer hybrid cloud file storage, providing real time visibility, scale and control of your data across on premise and cloud.

Qumulo offers a distributed file and object storage system which assists individuals and businesses in managing data clusters. It accomplishes this through a unique hybrid cloud approach, facilitating seamless data management between data centres and cloud environments.

Together with Qumulo, HPE offers industry-leading hybrid storage solutions for scale-out environments, built on HPE Apollo 4000 Systems. These solutions are enterprise-proven and highly scalable. They can be deployed in minutes, and they scale as your data grows. New nodes added to the cluster data automatically rebalance, making the scale-out experience seamless. HPE introduced HPE ProLiant DL325 Gen10 Plus with All-NVMe and Qumulo, in their latest scale-out file solution. It is optimised for high-throughput, low-latency use-cases involving unstructured file data. The Al l-NVMe design allows enterprises to run data-intensive applications without speed or capacity limitations, enabling them to innovate faster than ever before. The new Al l-NVMe Flash solution takes unstructured data to the next level.

There are several characteristics that separate Qumulo as a leader in the file storage space:

      • Customer satisfaction is a top priority – Customer satisfaction is an often overlooked element of data management platforms. Qumulo’s Net Promoter Score (NPS) is on the increase, reaching 91 in the most recent quarter, which is industry-leading and well above the average industry score of 60.
      • Simplicity at the core – features work consistently on every infrastructure platform, is designed for and tested under a wide array of conditions. Users are enabled to easily manage the full data lifecycle with cost-effective capacity, limitless scalability, automatic encryption and an advanced API that allows it to be seamlessly integrated into existing technology ecosystems and workflows.
      • Data protection and security controls built-in – features always-on security and is restricted to only the operations required to perform the file system’s tasks, reducing the risk of an attack. The platform has additional risk reduction measures, including no direct access to your data on the nodes, a fully developed native protocol stack and a high level of separation from the operating system. Bi-weekly updates ensure that new codes are introduced every two weeks, ensuring security fixes.
      • Scale without boundaries – allows you to start at any size and easily scale to billions of files. You will continue to get predictable efficiency and performance at any scale for all your file types. It also enables deployment on-premises or natively in the cloud, and maintains the flexibility with bidirectional data mobility and uniform manageability.
      • Predictability, visibility, and control of your data – provides real-time visibility of your data usage, performance, and infrastructure. It offers predictability in utilisation and capacity while scaling your infrastructure and facilitating contextual AI-driven infrastructure monitoring.
      • Accelerates innovation – Get value from your data quickly. With the right mix of speed and capacity, customers get a unique time-to-market advantage. Enterprises can move data faster within their data pipeline. This provides much needed acceleration in implementing data-driven use cases.

Let’s take a look at how Qumulo can be applied to different industries.

Improving healthcare outcomes

A comprehensive data platform improves healthcare services by leveraging analytics and data delivery. This enhances performance, security, capacity, and comprehensive technological intelligence to provide image access and sharing required for hospital PACS (picture archiving and communication system).

HPE together with Qumulo enables healthcare providers to meet imaging growth projections, supports consolidation of imaging, and reduces the cost of administration while supporting physician productivity.

The Qumulo File Data Platform proves to be the leading solution as it ensures management and visibility into various workloads. Cloud access allows for quick image retrieval, which promotes quality healthcare even in the most dynamic hospital environments.

The leading platform for analysts

The advent of an array of sensors (not limited to the office, but also in our homes, cars and workplaces), powerful processors, supercomputers and personal devices has led to the rapid acceleration of unstructured data. However, the technology for managing that data has only evolved incrementally, creating an obstacle for innovation and garnering insights.

HPE and Qumulo took a new approach and built a file data platform to consolidate data, and make it available to applications and users, wherever they are. This enables organisations to mobilise their workforce and collaborate remotely with access to the data they need, whether on-premises or in a hybrid or public cloud.

For growing data, law enforcement requires a centralised system

Unstructured data is used by law enforcement agencies in their daily operations. Intelligence files and photo evidence from gaol records, investigations, video security systems, and even DNA continue to grow into massive datasets that ordinary storage systems cannot handle.

When it comes to file management, law enforcement agencies face three major challenges:

  1. Ability to manage the various sources of unstructured data obtained during investigations; a centralised file data management system is required.
  2. There is then a need to store this growing archive of data, the most prominent of which is in video format.
  3. Access to real-time data is also required to facilitate rapid investigations and monitor trends in order to anticipate crimes before they occur utilising AI.

Qumulo outperforms legacy systems in terms of assisting law enforcement because it is poised to solve all the aforementioned challenges by fostering logical analysis in its system.

Are you eligible for Qumulo?

To ensure Qumulo is suitable for your organisation, we as your IT partner can perform a MiTrends File Storage Health-check/Assessment.

Here’s a quick reference list of the systems we can assess:

        • Backup – ArcServe, Avamar, Backup Exec, CommVault, Data Protector, Microsoft DPM, NetBackup, NetVault, NetWorker, Oracle RMAN, TSM, Veeam, VMware VDP, Data Domain
        • Data Analysis – AWS S3 Analysis, Compressibility Analysis, File Analysis
        • Servers – Exchange, Hyper-V, Oracle, RVTools, SQL Server, Unix, VMware, Windows
        • Storage – Compellent, EqualLogic, HDS, HDS AMS, HP 3PAR, HP EVA, HP XP, IBM DS, IBM Storage, IBM SVC, IBM v7000, IBM v9000, IBM XIV, NetApp, RecoverPoint, Unity, VNX, VNXe, VPLEX, XtremIO, Isilon, VMAX

Find out more

Data storage doesn’t have to be difficult and, HPE in partnership with Qumulo, can help you manage your data at scale – no matter your industry. Simplified file data deployment and instant control means more value and performance and, by extension, accelerated business outcomes.

We can help you take advantage of the HPE Qumulo solution as your IT partner and advisor. Reach out today to make sure you’re getting the most out of your data.

Meeting the challenge of security in the cloud

Meeting the challenge of security in the cloud

Meeting the challenge of security in the cloud

Today’s workforce expects seamless access to applications wherever they are, on any device. The need for cloud-delivered security service expands daily as contractors, partners, IoT devices and more each require network access.

In this new paradigm, IT requires a simple and reliable approach to protect and connect with agility. This is forcing a convergence of network and security functions closer to users and devices, at the edge — and is best delivered as a cloud-based, as-a-service model called Secure Access Service Edge (SASE).

What is Secure Access Service Edge (SASE)?

With the digital transformation of businesses, security is moving to the cloud. This is driving a need for converged services to reduce complexity, improve speed and agility, enable multicloud networking and secure the new SD-WAN-enabled architecture. Secure Access Service Edge (SASE) is a network architecture that combines VPN and SD-WAN capabilities with cloud-native security functions such as secure web gateways, cloud access security brokers, firewalls, and zero-trust network access. These functions are delivered from the cloud and provided as a service by the SASE vendor.

Why SASE, why now?

Securing the modern network requires a great deal of time, energy, and resources that
organisations don’t always have

%

of workforce will be roaming by 2021

%

of orgs shifting to some or all direct internet access (DIA)

%

of orgs are looking for multifunction cloud security services

How can I benefit from a SASE model?

The SASE model consolidates numerous networking and security functions–traditionally delivered in siloed point solutions — in a single, integrated cloud service. By consolidating with SASE, enterprises can:

  • Reduce costs and complexity
  • Provide centralised orchestration and real-time application optimisation
  • Help secure seamless access for users
  • Enable more secure remote and mobile access
  • Restrict access based on user, device, and application identity
  • Improve security by applying consistent policy
  • Increase network and security staff effectiveness with centralised management

Components of the SASE model

SD-WAN

SD-WAN is a cloud-delivered, overlay WAN architecture that provides the building blocks for cloud transformation at enterprises. It helps ensure a predictable user experience for applications and provides a seamless multicloud architecture while integrating robust, best-in-class security.

Cloud security

Cloud security is a set of technologies and applications that are delivered from the cloud to defend against threats and enforce user, data, and application policies. It helps you better manage security by extending controls to devices, remote users, and distributed locations anywhere in minutes.

Zero trust network access

Zero trust network access verifies users’ identities and establishes device trust before granting them access to authorised applications. It helps organisations prevent unauthorised access, contain breaches, and limit an attacker’s lateral movement on your network.

Start your SASE Journey

Major security analysts and industry experts all have their own view of the elements you should look for in a vendor that provides SASE security. Talk to an expert to see how Cisco can meet your SASE needs.

All about next-gen AI: neuromorphic computing

All about next-gen AI: neuromorphic computing

Roughly seventy years ago, Alan Touring asked: “Can machines think?” Given the state of artificial intelligence (AI) today, we still cannot answer that question with absolute certainty. However, collective efforts in this field have produced many artificial hardware and software structures that resemble the human brain and perform computation in a similar way.

Among the many human brain-inspired AI architectures, neural networks and more recently deep neural networks, have the most significant results. Equipped with deep learning algorithms, computers are capable of detecting fraud, autonomously driving cars, serving as virtual assistants, managing customer relations, modelling financial investments and recognising what people are saying and how they look.

Deep neural networks are composed of artificial neurons modelled after biological neurons present in our brains. These neural networks are capable of discovering and learning from complex relations present in the training data. Given the large amount of data collected using IoT devices, advanced sensor networks, and mobile devices, deep neural networks are capable of learning almost anything that humans can.

“Deep neural networks are capable of learning almost anything that humans can.”

Nevertheless, current computation technology is limiting the large-scale application of deep neural networks. These limitations come mainly from current computation technology. Firstly, due to the economics of Moore’s Law, very few companies can fabricate silicon technologies beyond 7 nm. Secondly, current memory technologies are incapable of dealing with very large data loads that grow even faster than Moore’s Law. And finally, the increased computation power requirements have increased cooling energy demands. The overall efficiency of the computation technology is too low to sustain a large, deep neural network load.

To solve the problems of the current computing technology, research institutions and enterprises around the world are making a huge push towards the integration of nanoelectronics into computing hardware in a more innovative way. The common goal is to integrate different ways of processing information that go far beyond Von Neumann’s architecture.

“Neuromorphic chips have an ideal architecture that can support the large-scale adoption of deep neural networks and further the progress of AI.”

One of the most promising novel computation technology efforts is neuromorphic computing; next-generation computation hardware that architecturally resembles the computing structure of a human brain. Namely, neuromorphic processors are designed to have central processing and memory units together to remove the key bottleneck of Von Neumann’s architecture of requiring data exchange mechanisms between these two elements. Designed in this way, neuromorphic chips have an ideal architecture that can support the large-scale adoption of deep neural networks and further the progress of AI.

Neuromorphic computing advantages

The key limiting factor of the current computation technologies is the need to continuously move data between CPU and memory, and this is not what our brains normally do. These limitations impact both the bandwidth and our ability to efficiently train neural network models.

In a typical data analysis scenario today, we are taking human brain-inspired machine learning models and we are imposing them on a processor with Von Neumann architecture, which is very different from how our brains work. This feels out of place and poses the question, can we create a computer chip that operates similarly to our brain?

Another key limiting factor of the Von Neumann architecture is energy efficiency. Today’s computers are extremely power-hungry. According to the study published in Nature magazine, if the data and communication trends continue to increase at the current rate, by 2040 binary operations will consume over 1027 Joules of energy, which exceeds the global energy production of today.

“By mimicking the workings of the human brain, the technology intends to be as energy-efficient.”

Neuromorphic computing is an interdisciplinary field that involves material science, physics, chemistry, computer science, electronics, and system design. The concept attempts to resolve the current limitations of the Von Neumann architecture and intends to create hardware structures that resemble the human brain. Neuromorphic computing technology collocates memory and processing units. By doing so, latency and bandwidth limitations induced by moving large amounts of data between the two can be eliminated. Additionally, by mimicking the workings of the human brain, the technology intends to be as energy-efficient.

The neuromorphic approach has the potential to revolutionise computing as a whole, but its most effective application will be deep neural networks. These networks have a highly parallel model structure that requires specific distributed memory access patterns. The distributed parallelism is difficult to map efficiently onto Von Neumann architecture-based computing hardware.

Exploring the early-use cases

Hewlett Packard Enterprise is at the forefront of research and development into this tech. Government research hubs are also delving into it, including the European Union with its Human Brain Project.

Last year, the neuromorphic chip market was valued at almost $US2 billion and is expected to increase to $11.29 billion by 2027. According to Gartner, there’s a lot of interest there, considering traditional computing tech that uses legacy semiconductors will hit a digital wall in 2025. For now, though, neuromorphic chips aren’t being produced at the commercial scale of CPUs and GPUs. A hold up is that many neuromorphic processors need more advances in emerging technologies such as ReRAM or MRAM. You can find out more about those here.

“Those insights ensure businesses who work with HP will get access to the latest and most efficient storage technology solutions.”

So, there’s still a way to go before real-world applications of neuromorphic semiconductor design become commonplace. The big win comes from keeping compute and memory units together. That means the system doesn’t have to constantly move data around, says John Paul Strachan, who heads the emerging accelerators’ team in the AI Lab at Hewlett Packard Enterprise. Research into AI for enterprise, including brain-based architectures, has been carried out for several years at Hewlett Packard’s labs. Those insights ensure businesses who work with HP will get access to the latest and most efficient storage technology solutions.

How can HPE work for you?

HPE is focused at the forefront of emerging technologies and is constantly incorporating advanced tech into their next-generation products and solutions. A market leader in innovation, how are you taking advantage of HPE solutions? Contact us to find out how HPE products can help your business gain a competitive advantage and put you on the fast-track to achieving your goals.