Choose Intelligent Endpoints for your Business

Choose Intelligent Endpoints for your Business

Unlock the power of the Webex single platform advantage to deliver intelligent workplaces for every work style. Webex devices bring high-quality collaboration to your home and office desktop. With built-in intelligence, distractions are eliminated, meetings stay productive, and the virtual becomes personal.

Webex Delivers Seamless Collaboration in Every Space

Creating experiences where ideas grow, expand, multiply, and thrive. Improve collaboration with intelligent endpoints designed for every use case. See how Webex creates an intelligent, integrated workplace experience through the eyes of one innovative technology company.

IP Phones With the Latest Technology to Meet a Range of Needs

Today’s business environment encompasses a range of employee communication styles and workspaces. The Cisco IP phone portfolio includes user-friendly, full-featured IP phones to meet the needs of your entire organisation.

8800 Series IP Phones

8800 Series IP Phones

Cut costs with affordable HD video phones for your entire organization. Superior audio provides crystal-clear VoIP. Give employees more flexibility with corporate telephony on personal mobile devices.

6900 Series IP Phones

6900 Series IP Phones

Provide a value-oriented, basic VoIP call experience for settings such as lobbies, guest rooms, elevator bays, and conference centers. Phones are earth-friendly with IEEE Class 1 rating for low power consumption, and support both desk and wall-mount deployment.

7800 Series IP Phones

7800 Series IP Phones

Get cost-effective, full-featured VoIP with wideband audio and enhanced acoustics for desktops, small conference rooms, and huddle spaces. Benefit from flexible deployment options including Cisco on-premises and cloud.

3900 Series IP Phones

3900 Series SIP Phones

Explore a cost-effective option with basic VoIP, single-line IP phones for occasional-to-light voice use, such as in common areas. Integrated 10/100 Ethernet switch supports a co-located PC. Benefit from IEEE Class 1 rating for energy and cost savings.

What Matters in Selecting Business Headsets

Whether working at home, at the office, or on the go, you need a headset to help stay focused on what’s important. Cisco’s easy-to-use professional headsets deliver exceptional audio and are integrated with the Webex platform for seamless collaboration and simple management. Choose from Bluetooth wireless, DECT, or wired headsets.

Cisco Headset 700 Series

Bluetooth® headset for the home, office, and journey between. Featuring Clear Voice technology, adaptive noise cancellation, and enterprise-grade security to deliver an exceptional calling experience anytime.

Cisco Headset 500 Series

A full-range of wired and wireless headsets that keep your day going with security and comfort. Featuring outstanding audio performance and noise isolation in a lightweight design for all-day use.

Webex Desk Camera. Incredible Video Meetings From Anywhere

Run video meetings in full, vibrant colour from any lighting condition and get a frustration free collaboration experience from anywhere with AI-enabled features and remote IT management. Don’t let poor quality video get in the way of a great meeting, wherever that is. Experience 4K video with the AI-powered Webex Desk Camera designed to keep you in focus.

Simple, Secure, and Intelligent Collaboration

Meet your communications needs with Cisco’s broad range of endpoints and devices and let people focus on the work they do, not the tools they use to do it.

No Going Back: How the Pandemic Changed MSPs for Good

No Going Back: How the Pandemic Changed MSPs for Good

No Going Back: How the Pandemic Changed MSPs for Good

Just like not all individuals are cut out for remote work, some industries aren’t suited for it either. But when COVID-19 threw everyone into an in-person lurch, the choice was clear: go digital or bust.

For event planning, hospitality, and travel businesses, a digital-only experience was a particularly difficult ask, though they certainly weren’t the only ones. Across the SMB community, the sudden, unexpected shift to work-from-home environments spiked demand for ​​MSP (managed service provider) support.

The Evolving Enterprise offers this overview of the Traditional MSP model:

“Broadly speaking, an MSP is an outsourced third-party company that manages and assumes the responsibility of a defined set of day-to-day management services to its customers. In terms of IT, this mainly includes networks, applications, infrastructure, and security, via ongoing and regular support and active administration on customers’ premises, external data centres (hosting), or in the public cloud.”

Now that you know what it is, here’s a peek at how the MSP industry has evolved over the pandemic – and what that means for your business.

MSPs have long had remote monitoring and management as a core offering, making them the natural choice for securing data in the WFH environment.

MSPs have long had remote monitoring and management as a core offering, making them the natural choice for securing data in the WFH environment.

WFH the MSP Way

Managed service providers have been making inroads for decades. But it was the rise of remote work that really made MSPs mainstream.

From essentially one day to the next we collectively went from central office to home office, decentralising our networks in the process. MSPs have long had remote monitoring and management as a core offering, making them the natural choice for securing data in the WFH environment. Many SMBs also turned to them to supply devices and software-oriented solutions.

According to ComTIA, “many MSPs are broadening their customer reach and profit margin potential by offering more premium services…things like business applications-as-a-service solutions, data analytics, cloud-based services, more advanced types of cybersecurity, and consulting-level work around compliance and privacy…”

A Proactive Approach to IT

With the increase of cyber threats, reactive IT management practices have quickly fallen out of fashion.

MSPs have historically focused on more routine IT tasks, like flagging unsupported devices or unknown users, resolving data issues, etc. But keeping a remote workforce protected required a new level of dedication.

Proactive MSPs are now dominating the landscape as a result. Whereas cybersecurity used to represent a smaller portion of the typical MSP portfolio, more than 50% now provide it in addition to traditional offerings like networking or help desk services.

The Ransomware Response

All types of cybercrime are on the rise. But one threat in particular has kept MSPs on their toes: Ransomware.

Given how lucrative this attack type is for cybercriminals, it’s no wonder Malware increased by an astounding 358% in a single year.

While ransomware attempts are likely to continue, some governments are taking steps to discourage organisations from facilitating transactions in hopes of deterring future attacks. Industry experts anticipate there may soon be a wave of sanctions against those who accept or disperse ransomware payments.

New Cybersecurity Standards and MSP Regulations

“The very first MSP regulation law was enacted in 2020. Passed by a bipartisan state legislature in Louisiana, the law requires MSPs who service state agencies to register with the Secretary of State,” explains Tech Target.

Regulating bodies in other parts of the world are likely to follow suit as more cybersecurity codes of conduct start to take shape.

The future looks promising for MSPs. Though the last two years have been uncharacteristically busy, their time in the spotlight is far from over. So long as remote and hybrid work models continue to abound, managed services providers are liable to be driving digital business forward, even after the COVID-19 curtain call.

Network Visibility And Clarity With Traffic Analytics

Network Visibility And Clarity With Traffic Analytics

Reliable, fast networks have become ubiquitous, driving innovation, productivity and instant collaboration, supported by the relentless growth of convenient cloud hosted applications. As the use of these apps and services grows, so too does our reliance on every step of the journey, from the application server to the desktop or mobile device.

Even with a powerful, proven network infrastructure like Cisco Meraki, the end-user experience can only be truly optimised by considering all contributing internal and external factors. Fast cloud application response times rely not only on a well-designed, high performance LAN, but also on the performance of the service provider’s infrastructure, the WAN or Internet, and the remote SaaS (software as a service) application itself.

Introducing Meraki Insight

Meraki Insight has been developed to provide end-to-end visibility into how end-users are experiencing the network by taking a more holistic view of the factors contributing to the end-user’s perception of performance.

Faster, better

Busy IT teams benefit from improved insight and a drastic reduction in troubleshooting effort, enabling resources to focus on the true cause of end-user frustration and provide faster, better service. Faster problem resolution gives IT more time to support their organisation’s mission priorities.

Enabled by Meraki MX appliances

Meraki Insight requires a collector to gather the data it uses, and the Meraki MX platform can be easily upgraded to function as a collector. As data flows through LAN and WAN interfaces, deep packet inspection helps IT determine the true root cause with simple visibility into performance at every step.

“Meraki shaves hours from resolving critical issues and allows our support team to do more with less. As a result, our mission-critical applications and our business are more resilient.”

— IT Director, Global Retailer

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The Real World Possibilities of Digital Twins

The Real World Possibilities of Digital Twins

The use of digital twins as a critical business management tool is becoming more common as cloud computing, 5G, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) gain momentum. 

Digital twins are virtual representations of people, real-world assets and processes that help us understand how these might behave in different situations. Digital twins can be used to replicate difficult conditions, using machine learning gathered insights, providing options that would otherwise have gone unnoticed.

Digital twins create a mirrored environment in which interactions in the real world can be analysed and improved digitally. Organisations can now connect massive networks of intelligent twins to create real-time simulations of product lifecycles, workplaces, supply chains, and even entire cities. For this, high-performance computing infrastructure and network intelligence is crucial to unlock the potential of Digital Twin implementation.

The origins and benefits of digital twins

The origins of digital twins can be traced back to the 1960s. NASA used twinning methods to construct systems on Earth to replicate those in space. Despite digital twins having existed for 60 years, they only recently gained popularity in 2017. For most applications, the digital twin concept only took off recently due to the rise of IoT and the availability of increasing computational power.

Digital twins go beyond the computer-assisted engineering (CAE) capabilities that have been prevalent in systems development over the last two decades. The advancements in AI, machine learning, and IoT have expanded CAE capabilities by building virtual models that are seamlessly and continuously updated throughout a product or process life cycle. As a result, changes to the physical object are mirrored in the digital model, and insights gathered can be applied to real-world design decisions.

When leveraged as decision-support tools, digital twins have several benefits:

  • Digital twins reproduce the real world with precision and accuracy as it capitalises on real-time data.
  • Digital twins function as mathematical models, allowing decision-makers to run a limitless number of “what-if” scenarios to forecast possible outcomes and effectiveness.
  • Digital twins efficiently identify possible sources of conflict, root causes of failure, early warning signs of bottlenecks or poor performance, vulnerabilities, inefficiencies, and areas for improvement.

These benefits have accelerated the adoption of digital twins across a wide variety of sectors.

Digital twin use cases

Whilst digital twins is already employed across many industries, the market is forecast to grow significantly over the next several years. The global digital twin market size was approximately USD 3.1 billion in 2020. It is predicted to continue growing rapidly through to 2026, when it is expected to reach an estimated USD 48.2 billion.

Digital twins is widely used for monitoring, modelling, and remote control of physical assets used in digital factories. However, digital twin technology can be applied to industries outside of manufacturing, including government, healthcare, supply chain, and retail. 

Digital factory

One of the most well-known uses of digital twins is the digital factory. Design engineers can alter and optimise a design based on actual environmental conditions using engineering simulations that leverage real product data throughout the product design process.

Digital twins aid troubleshooting and diagnostics through simulations based on hypothetical scenarios. These scenarios use operational data to generate solutions on the virtual asset before real-world implementation.

Predictive models can be built using historical data and then combined with simulation models based on real-time sensor data, enabling operators and technicians to diagnose problems. This method reduces reactive maintenance costs linked to unplanned downtime.

Digital twins provide visibility into the entire manufacturing process, allowing the discovery of bottlenecks and the visualisation of process changes, increasing productivity and yields. For example, Bridgestone, the world’s biggest tyre and rubber manufacturer, uses digital twin technology to supplement simulations with sensor data to extend tyre life and performance. 


Governments are actively developing smart city programs to continuously provide citizens with better services. Digital twins is an essential element of smart cities as it is used to create three-dimensional virtual representations of buildings, infrastructure, and other physical assets that are linked to the data.

Digital Twin Victoria is an innovative new digital venture launched by Land Use Victoria. The project’s primary purpose is to reproduce the State of Victoria online so that government, industry, and the community may work together to enhance real-world results via shared open-data, technology, and analytics. The Digital Twin Victoria initiative integrates rich 3D and 4D geographical data, artificial intelligence, and sensor data from around the state to visualise and model areas before making investments. This provides consumers with a comprehensive view of correct, up-to-date datasets in an easy-to-use format, all in one location, simultaneously.

While Victoria is a good example, it is not the only one. There is a larger drive to incorporate digital twins into other State Government departments. Infrastructure Australia is looking to integrate digital twins in all federally financed infrastructure projects over the next 10–15 years as part of its 2021 Australian Infrastructure Plan.


The use of digital monitoring and human body modelling is improving medical care, and the usage of digital twins is transforming clinical operations and hospital management. Digital twins are digital representations of the human body that include both individual and population data in the field of human physiology.

Researchers are using digital twins to study diseases, new treatments, and medical equipment. When healthcare systems use digital twins, they can bring life-saving technologies to market faster with lower costs and improved patient safety.

To give a fully personalised treatment experience, digital twin technology can be employed to correctly depict an individual’s DNA, physiological traits, and lifestyle factors. Clinicians can use a digital twin of a human body to detect pathology before symptoms show, test medicines, and better prepare for surgery.

Digital twins can assist health care practitioners in analysing the operational efficacy of their organisation, operational strategy, capabilities, staff, and care models.

Supply chain and retail

Retailers can visualise their supply chains as networked environments using digital twin technology. Facilities, depots, stock movement and placement, personnel, and processes can all be replicated with digital twins. The models are given real-time IoT data, including that from Enterprise Resource Planning (ERP), and other business systems to build a live execution environment.

Retailers use the digital twins of their supply chain to simulate the performance of their supply network and discover areas for improvement. Because digital twins give real-time knowledge, firms can quickly deploy alternate supply chain fulfillment models, such as curbside pick-up or micro-fulfillment, to reduce costs and increase efficiency. Leveraging network intelligence, digital twins link data from various sources, communicating vital information across the supply chain. Early adopters of digital twins realised CAPEX savings of up to 10%, sustained inventory reductions of up to 5%, and EBITDA improvements of one to three percentage points, according to BCG.

HPE Solutions for digital twins

HPE offers a comprehensive range of digital twin hardware and software solutions, including computing, storage, and networking layers.

The availability of computational power in a digital twin application allows for the development of precise and high-performance virtual models. HPE HPC systems include servers that allow for a balanced, high-performance, and scalable HPC environment. These systems make use of significant technological components that enable digital twins, ranging from micro (HPE Apollo 2000) to medium (HPE Apollo 6000) to large supercomputers (HPE SGI 8600). With the computing power of these systems, complex simulations and modelling can be handled efficiently.

HPE provides a complete end-to-end solution stack that can be adapted and customised to satisfy the business requirements imposed by digital twins. For example, the most comprehensive portfolio of supported and optimised computer-aided engineering application software, as well as a varied range of software and hardware platforms, all accompanied by high-value services


Digital twins are increasing in use as their capabilities and functionalities grow. While digital twins has historically been applied to manufacturing and industrial domains, other sectors are beginning to unlock the benefits. Realising the full potential of digital twins may require integrating systems and data across entire organisational ecosystems. To take full advantage of digital twins, it’s important your business has the right underlying IT infrastructure, including computational power and network intelligence, to support it.

As your IT partner, we can help you embrace digital twin technology by establishing the necessary HPE infrastructure solutions and assist with your business transformation, from acquisition to integration and full deployment.

Unique AI/ML Solutions for your Business

Unique AI/ML Solutions for your Business

With the backdrop of a global pandemic, digital transformation has proven to be more critical than ever before for business development. AI-powered technologies are playing a vital role in navigating customers through their digital journeys.

The embrace of digital communications and an increasing array of IOT edge-based devices brings with it a rapid increase in the quantity of data being created. Most businesses have successfully accommodated the massive increases in data volumes flowing through their networks and data centres with the rise of pervasive mobility, a trend set to accelerate with 5G. Many are also adept at analysing data to optimise their content and improve customer service.

Many organisations are sitting on a wealth of data, but they often lack the tools and technology needed to monetise and unlock their full potential. New ways to leverage this valuable asset extend far beyond what many businesses have achieved so far. Companies can’t fully realise new data-fuelled opportunities without the appropriate AI/ML solutions.

Hewlett Packard Enterprise is consistently reimagining and advancing how people live and work. With expertise across the cloud and the edge, HPE is the global edge-to-cloud company that delivers open and intelligent technology solutions. HPE provides the technology which enables organisations to implement new business models and increase operational performance. This allows businesses to extract the full value from their data, leading to greater efficiencies at scale and new revenue streams.

Building on the demand for intelligent data and analytics momentum, HPE’s acquisitions and partnerships with industry leaders in data-centric AI/ML-driven solutions include:

  • Silver Peak, a Software-Defined Wide Area Network (SD-WAN)
  • Zerto, cloud data management, and protection
  • Ampool, Structured Query Language (SQL) analytics engine
  • Determined AI, deep learning development with usage of its open-source Machine Learning (ML) platform
  • CloudPhysics, smarter IT across on-premises and cloud

Building a new data fabric

Silver Peak

The evolving nature of the hybrid workplace, cloud-first IT architectures, and the need for supporting a mobile work-from-anywhere workforce are driving enterprises to extend connectivity to branch locations and rethink the network edge.

Silver Peak, a Software-Defined Wide Area Network (SD-WAN), and now an extended part of Aruba, strengthens the offering of Aruba ESP (Edge Services Platform). It helps businesses advance their cloud transformation with a comprehensive edge-to-cloud networking solution covering all aspects of wired to wireless local area networking (LAN) and wide-area networking (WAN).

When it comes to simplicity, scalability, and application-awareness at the edge, Aruba through the Silver Peak solution delivers a singular vision. With the incorporation of Silver Peak’s self-driving SD-WAN, WAN optimisation solutions, and Aruba’s SD-Branch, coupled with the remote worker solutions, businesses will be able to transform their business operations and expand their service offerings (and revenue streams) without compromise.


Ensuring data safety and privacy is an important consideration for all types and sizes of businesses. Zerto offers continuous data protection. It advances disaster recovery capabilities, and data mobility in a single, simple cloud data management and protection software solution that spans on-premise, hybrid, and multi-cloud environments.

Zerto’s protection software and cloud data management are available as-a-service through the HPE GreenLake platform and the Data Services Cloud Console. It’s also available as a standalone service. Zerto further expands HPE’s data management and disaster recovery capabilities, thus positioning HPE GreenLake’s edge-to-cloud platform in the high-growth data protection market, giving customers the ability to protect their data from the edge to the cloud as they pursue new market opportunities.


The explosion of data and cloud capabilities corresponds to the influx in demand for data analytics services with cloud-like operations.

To meet this demand, Ampool has built an innovative, scalable, data federation layer designed to deliver a cloud-native, high-performance Structured Query Language (SQL) analytics engine for data engineers and business analysts. SQL continues to be a predominant database workload in many organisations. However, in the last decade alone, the nature of SQL-based interactive workloads has changed dramatically, putting forward challenges of high data movement costs and data residency requirements.

Ampool, as part of the HPE Ezmeral software organisation, plays a key role in improving the quality, repeatability, throughput, and speed to value for HPE customers’ AI/ML, analytics. It also supports data-intensive workloads by accelerating the HPE Ezmeral analytics runtime for interactive SQL workloads. By establishing an open-source-based, IP-rich capability, the HPE Ezmeral software portfolio offers better end-to-end analytics in fast-growing sectors.

Determined AI

To fuel this new digital era, organisations are turning to AI-powered technologies to turn data into available and actionable insights. Determined AI’s answer to this demand is a unique open-source machine learning (ML) platform that accelerates time-to-production by removing the complexity of ML development.

With Determined AI’s unique software solution alongside HPE’s world-leading AI and high-performance computing (HPC), ML engineers can quickly implement and train machine learning models to provide faster and more accurate insights from their data and deliver business value in almost any industry.

By combining Determined AI’s open-source capabilities, HPE is moving closer to its goal of making AI heterogeneous and allowing ML engineers to build AI models on a bigger scale.

Through HPE GreenLake cloud services for High-Performance Computing (HPC), HPE is making HPC and AI solutions more accessible and affordable to the commercial market by providing fully managed services that can run in a data centre, a colocation facility, or at the edge via the HPE GreenLake edge to cloud platform.


To empower businesses with more accurate data-driven insights, HPE acquired CloudPhysics, a SaaS-based, data-driven platform for smarter IT across on-premise and cloud. CloudPhysics’ SaaS solution can generate insights in as little as 15 minutes that transform procurement cycles with data-driven insights. CloudPhysics provides data that helps customers upgrade, repair and adapt data centre infrastructure in line with your historical business activity. It can also help customers model their exact infrastructure as a virtual environment, machine by machine, to provide data needed to decide between cloud and on-premises infrastructures.

Through increased visibility and understanding, HPE reimagines the business and the relationships with their suppliers. Businesses can attain a more efficient IT infrastructure and significantly increased return on investment (ROI).


The selection, integration, and deployment of new AI/ML solutions can be challenging without the right expertise. When organisations do not have the necessary in-house skill sets, they are prevented from using AI to build new data services and unlock new revenue streams. As your knowledgeable IT partner, we can assist with the acquisition of solutions with built-in AI/ML that deliver valuable insights and capabilities to help your business transform. We’ll make sure you avoid common pitfalls including technology debt associated with escalating transformation costs and a creeping increase in scope. We’ll work with you to focus on the areas of your business that are best suited and ready for digital transformation.

A Security-First Approach to Cloud Management

A Security-First Approach to Cloud Management

Embracing hybrid allows businesses to stay flexible while having an extensive selection of data and app deployment options. Hybrid cloud deployments can maximise organisational productivity by combining on-premise resources with public cloud services.

Last month, we saw how HPE Greenlake enables on-premise data centres to maximise cloud benefits through pre-configured infrastructure options. As part of the Greenlake offering, HPE provides, installs, manages and maintains the infrastructure. GreenLake eliminates hybrid cloud management complexities by allowing users to provision virtual machines and containers directly from the single user interface, HPE GreenLake Central.

GreenLake Central – a point-and-click cloud experience

HPE GreenLake Central is a cloud platform that provides secure and role-based access to trial, subscription, and consumption of HPE GreenLake service offerings. HPE GreenLake Central provides service orchestration, a unified cloud experience to applications and data across the customer’s HPE GreenLake estate, including private and public clouds, edge to core.

HPE GreenLake Central and associated services are developed with security as a cornerstone. Providing a robust, secure solution requires the foundation of a mature, secure software development lifecycle (SDLC) methodology. This is a critical aspect of the platform’s security, which is usually not noticed directly by users. Strict adherence to the secure SDLC is required to manage risk and achieve a demonstrably secure system.

With HPE GreenLake Central, customers can achieve a unified cloud experience across apps and data everywhere—private and public clouds, edges, and data centres—all through a single intuitive portal and management console. It brings together apps and tools that support and enrich our HPE GreenLake offering, such as HPE Consumption Analytics and continuous compliance controls (some are included, and others are available at additional cost). More than a portal, HPE GreenLake Central delivers the services that customers need to run their business, tailored and delivered to them through one unified view.

Businesses can use HPE GreenLake Central to:

  • Move faster with a self-service, point-and-click cloud experience
  • Deliver a tailored cloud experience with role-based access for IT, CIOs, DevOps, and finance
  • Gain quick insights across all functions with high-level KPIs, such as monthly costs, capacity, and compliance conditions
  • Try new services, such as continuous compliance controls and private cloud

HPE GreenLake Central security

HPE GreenLake’s infrastructure is designed with security in mind. When developing, deploying, hosting, and managing cloud services, HPE GreenLake prevents unauthorised access to user profile data. GreenLake Central simplifies and secures the management of HPE GreenLake services and resources. Administrators can manage IAM roles, access, and permissions to govern user behaviour in decentralised domains.

HPE GreenLake Central acts as the management plane and only handles customer contact information and credentials, such as user ID, password, access tokens and roles. This data is always encrypted, whether in transmission or at rest, and is also securely backed up and protected by isolation within Kubernetes (K8s) containers. All data transmission within HPE GreenLake Central and between external networks to and from HPE GreenLake Central is protected by encryption using TLS 1.2. Customer data is not transmitted through nor stored in HPE GreenLake Central

HPE GreenLake Central monitoring services cover everything from source code to running components, allowing HPE GreenLake to rapidly detect, investigate, and resolve critical issues.

The following are a few of the principles used to provide embedded security guardrails and enforce security best practices in the HPE GreenLake Central software development process:

  • Minimise attack surface: Enforce all service API exposure to be explicit and closed by default
  • Establish secure default: Secure defaults are provided throughout the workflow to ensure developers start secure
  • Provide least privilege: Services are isolated, resource sharing is structurally prohibited, and all privilege escalation must be explicit and approved
  • Offer continuous verification: Validate security parameters upon deployment, continuously validating that all security parameters are appropriate and performing continuous threat detection for bad actors in the system
  • Don’t trust services: All services are only accessed via public APIs and access is explicitly authenticated and authorised, rather than by network proximity or segmentation
  • Ensure separation of duties: Independent service delivery and isolation ensure a strict separation of duties for all services
  • Avoid security by obscurity: Use tools to ensure secrets management, secrets rotation, and handling of confidential information are all at the highest security standards
  • Keep security simple: Intrusion detection, security benchmark verifications, and dependency vulnerability scanning are built into the platform, requiring no conscious effort to implement
  • Fix issues correctly: Actively scan software artefacts for known vulnerabilities and automatically stop the integration process, enabling teams to remediate identified issues

GreenLake Central use cases

Being built with security at the core, GreenLake Central has the capability to serve the diverse needs of business professionals. Some notable use cases focus on cost management, provisioning and hybrid estate management.

Cost management

One of the key pain points for IT executives and LOBs is managing costs across hybrid cloud environments. Costs can quickly escalate without the right visibility and control. With HPE GreenLake Central, cost KPIs are integrated into the dashboard so businesses can easily see the current monthly costs and how spend is increasing or decreasing over time. If more detailed information is needed by location, resource, or month, it’s available through the Monthly Charges report.

GreenLake offers the secure and compliant environment for these investigations to occur. With Continuous Compliance capabilities, HPE experts work with the business to tailor frameworks according to their specific needs and requirements, selecting from over 1500 controls to ensure compliance across a wide range of areas such as HIPAA, GDPR, and more


Businesses benefit from the simplicity and speed with which they can deploy resources in the public cloud. It lets them react to changes in the business, or competitive pressure, faster and easier. It encourages innovation and experimentation without the risk of high up-front costs.

That’s the experience HPE GreenLake provides with managed private cloud. The ability to quickly spin up resources on-premises with just a few clicks and with the pay-per-use economics of public cloud. This is truly differentiating in the market.

HPE GreenLake Central enables a consistent experience to provision, monitor, and manage workloads across the private cloud. In a single dashboard, businesses can see their instances, open tickets, and activity logs, as well as stats on availability, response time, and open incidents.

Management of the hybrid estate

One of the major struggles that businesses have is managing their entire hybrid estate holistically. Typically, it requires different tools to get the insights you need across on-premises and multi cloud, which can be cumbersome and time-intensive.

HPE GreenLake breaks down the silos to deliver the insights and control needed to optimise business operations. The HPE Consumption Analytics Portal brings together usage and spend from HPE GreenLake and public cloud environments, so organisations gain greater visibility, manage capacity, and optimise costs.

Often, resources are underutilised or no longer being used, resulting in unnecessary spend. The Insights feature offers a rules-based recommendation engine that surfaces areas where businesses can optimise costs and mitigate risk.


Hybrid cloud offers a wide range of services to accelerate the efficient development and delivery of applications and services to meet the ever-increasing demands from lines of business. One of the major concerns with cloud solutions, however, is ensuring the security of the environments and the consistency of security controls across cloud providers, which may have different implementations.

HPE GreenLake Central (GLC) provides a platform in which the customer has a single point of administration for all workloads managed by HPE GreenLake running on public and private clouds. All businesses using HPE GreenLake benefit from an infrastructure architecture that is built to meet the requirements of the most security-sensitive organisations. As your trusted IT partner, we can help you explore the ways Greenlake can take your business to the next level.