Hyper competition, globalization, economic uncertainties — all of it converging to drive a C-suite impetus for the business to become more data-driven. Organizations invest in more data science and analytical staff as they demand faster access to more data. At the same time, they’re forced to deal with more regulations and privacy mandates such as GDPR, CCPA, HIPAA, and numerous others. The outcome? The current methods meant to serve them — usually an overburdened IT team — end up failing, resulting in an alarming amount of friction across the entire organization.

The heart of the friction

Friction across the enterprise ecosystem impacts every part of the value chain. It’s driven by three primary dynamics:

Increasing number of analysts and data scientists asking for data.More regulations and policies required to enforce.A tectonic shift of data processing storage to the cloud.

Analytical demand

Over the last two to three decades, analytics have gone from the domain of IT to business self-service analytics. For the traditional financial and summary type reports, this is easy since data comes from curated and structured data warehouses. The newer self-service demand is for non-curated data for purposes of AI and machine learning.

Regulatory demand

More regulations result in more policies, but the bigger impact is going from passive enforcement to active enforcement. Passive enforcement relies on training people and hoping they’ll follow proper protocol. Active enforcement establishes a posture where systems proactively stop people from hurting themselves or the company. For example, a zero trust framework would assume you should only have access to the data you need and nothing more.

Moving to the cloud

With the move to the cloud, we don’t just move data outside our traditional perimeter defenses. The platforms separate storage from processing or compute with different styles of compute to serve different analytical use cases. The result is an exploding number of policies applied across dozens of data technologies — each with its own mechanism for securing data.

A use case for balanced data democratization

Privacera worked with a major sports apparel manufacturer and retailer on its data-driven journey to the cloud. The client’s on-prem data warehouse and Hadoop environment turned into a massive set of diverse technologies: S3 for storage and a host of compute and pressing services like EMR, Amazon Web Services (AWS), Starburst, Snowflake, Kafka, and Databricks. GDPR and CCPA emerged as critical mandates that had to be enforced actively. Hundreds of analysts excitedly tried to get access to the new data platform, outnumbering the IT support staff. The result was more than 1 million policies, and they only managed to get around 15 percent of their data into the business’s hands.

The solution: Centralized policy management and enforcement for their entire data estate. Here are the elements of their centralized data security governance:

Real-time sensitive data discovery, classification, and tagging to identify sensitive data in newly onboarded data sets from trading partners.Build once, enforce everywhere. Policies are built centrally in an easy to use, intuitive manner. Those policies are then synchronized to each underlying data service where the policy is natively enforced.Built-in advanced attribute, role, resource or tag-based policies, masking and encryption to define fine-grained controls versus the previous coarse-grained model.Real-time auditing of access events, monitoring, and alerting on suspicious events.

The result: The client reduced the number of policies by 1,000-fold, onboarded new data 95 percent faster, and got 100 percent of the data into the business’ hands. 

The new way forward

Gartner’s State of Data and Analytics Governance suggests that by 2025, 80 percent of analytical initiatives will be unsuccessful because they fail to modernize their data governance processes. The challenge for CIOs and data and privacy leaders is these mandates are often not owned by a single person. CISOs often feel they own the security posture but not the enforcement. The data leader focuses on the analytical output and insights. The CIO is often left holding the bag and needs to pull it all together. In its recent Hype Cycle for Data Security 2022, Gartner suggests 70 percent of the investment in the data security category will be toward broad-based data security platforms that can help organizations centralize data access and policy enforcement across their diverse data estate.

Learn more about balancing performance and compliance with powerful data democratization. Get your free copy of the Gartner Hype Cycle for Data Security 2022.

Data and Information Security

Here’s a proposition to consider: among the ranks of large enterprises, commercial success increasingly relies on digital transformation. In turn, digital transformation relies on modernized enterprise networks that deliver flexibility, performance and availability from the edge to the cloud. Intuitively, this hypothesis makes a lot of sense.

In many enterprises, it’s also increasingly becoming the subject of painstaking debate. After two years of quick-fix digitalization on top of pre-COVID-era network technologies, the limits of the status quo are becoming evident. All too often, legacy networks limit the potential for digital transformation. In many organizations, it’s way past time to address the fundamentals.

If this debate sounds familiar to you, it’s worth looking at the 2022-23 Global Network Report from NTT, a new piece of research that offers an intriguing view of how enterprises around the world are managing their networks.

Among other things, NTT’s survey suggests a strong correlation between a willingness to invest in modernizing networks and high levels of commercial performance. At the other end of the spectrum, NTT’s survey confirms many enterprise networks suffer from long-term underinvestment and increasing levels of technical debt. The distance between these two different approaches feels substantial.

NTT’s report – based on responses from over 1,300 network specialists and IT and business decision-makers worldwide – defines high levels of commercial performance using straightforward criteria. To qualify as a “top-performer”, organizations in the survey needed to have generated year-on-year revenue growth of over 10%. They also needed to have generated operating margins of over 15% in the last financial year.

In network terms, what do these organizations look like? It’s here that a willingness to invest in modern network technologies starts to look like an indispensable ingredient for high performance in commercial terms.

Nine out of 10 top-performing organizations are increasing network investment to support digital transformation. Many are spending over 2% of their annual revenues – a significant sum – on their networks, deploying technologies designed to enable rapid transformation, provide greater availability and flexibility, and support not just today’s requirements, but tomorrow’s requirements as well.

Eight out of 10 high-performing organizations say their network strategy is aligned with their business goals. In practice, this involves a clear understanding that the quality of the network directly affects their ability to address the most pressing business and digital transformation challenges. (By contrast, only 42% of underperformers share this sentiment.)

The underperformers in NTT’s survey are a mirror image of these overachieving organizations. Most CIOs and CTOs at these companies agree that networks play a vital role in delivering revenue growth. They also recognize business demands for increased speed, agility and innovation can only be satisfied by new operating models. And yet these organizations typically suffer from delayed upgrades, high levels of technical debt and poor visibility across the network.

The older the network is, the greater the chance of negative impacts on service delivery, customer satisfaction and the employee experience. Some 69% of the CIOs and CTOs surveyed by NTT say technical debt continues to accumulate. Asked to identify the risks generated by underinvestment, respondents most frequently pointed to classic effects of technical debt: inflated IT operational costs and limited availability of new services required for digital transformation.

For these enterprises, networks threaten to become a cross between a millstone and a minefield (slowing down progress and continually threatening to blow up in the face of network professionals).

In this hybrid and hyperconnected world where organizations need to deliver great employee and customer experiences, the network provides the fabric of the digital organization. NTT’s intelligent and secure Network as a Service enables a complete edge-to-cloud strategy, delivering a wide array of benefits: increased agility, reduced risk, greater flexibility, scalability, automation, predictability and control.

Given today’s high-performance hybrid environment, Matthew Allen, Vice President, Service Offer Management – Networking at NTT, suspects that the status quo is time-limited for underperforming enterprises.

“You can start to transform your business on the networks you have. However, as this business transformation drives a distribution of applications and business functions across many, diverse locations (SaaS, PaaS, IaaS, private cloud, etc.), a legacy network solution will not be able to keep pace with this change – it will become increasingly difficult for distributed applications and workloads to communicate effectively and securely, at the speed the business requires.”

NTT’s survey suggests organizations that delay network modernization run the risk of ending up in an unsustainable position – technical debt will continue to accumulate, downtime will occur as networks fail, and the increased operational complexity of stitching together and maintaining networks to support distributed workloads will eventually cause something to slip. Certainly, the commercial implications look unpleasant.

On this basis alone, it’s worth looking at NTT’s survey. It’s also worth asking yourself about your organization’s network strategy. Does it look like the strategy of a top-performing organization or an underperforming one? NTT’s analysis suggests that the difference between the two is more important than we might imagine. To learn more, read the 2022–23 Global Network Report from NTT – you can view the key findings infographic or download the complete report with access to the full data set.

Networking

In their rush to the cloud, companies can easily end up with significant waste by taking a “best efforts” approach to aligning cloud instance types and sizes to workloads.

Businesses, particularly those that are relatively new to the cloud, often overprovision resources to ensure performance or avoid running out of capacity. The result is that their workloads may consume a fraction of the resources being paid for. Even organizations experienced with cloud infrastructure can waste 20% to 30% of their cloud spending on capacity that simply isn’t needed.

Compounding the challenge is the fact that the major cloud service providers (CSPs) offer as many as 600 different service options based on factors such as processor type, memory configuration, storage, networking, hypervisor, and other variables. Understanding all these options is impractical – if not impossible – for humans, let alone determine the best fit for a given workload, especially at scale. What’s more, the cloud options, and workloads being hosted, change all the time.

Complexity is amplified by the fact that 90% of enterprises use multiple clouds, according to IDC.[1] Relying on people to manually select the right cloud instances is a risky proposition as even small mistakes can add up to big unanticipated costs. Analytics that take the guesswork out by determining the best selections, and ultimately automating instance configuration, is key. IDC research shows that capacity optimization has emerged as a top priority (alongside cost management) within cloud-based organizations.

Although the major CSPs all offer free onboarding and optimization functionality and services, they are typically quite basic with respect to analytics and focus on purchase plans and billing optimizations rather than configuration management. The free services also lack granular controls and detailed policies, and don’t explain how particular recommendations are reached.

Reducing costs is also more than just a matter of choosing instance types. By leveraging features within the hardware, customers can achieve higher performance and reduce the sizes of their instances, or reduce the number of instances required, or avoid paying for them entirely. For example, container images that are optimized to leverage specific processor features can be used to significantly improve throughput in containerized environments, without the need for additional CPU power.

Intel® Cloud Optimizer (ICO) by Densify illustrates how automation can be applied to cloud instance choice and configuration to achieve savings at all levels. It is a powerful matching engine that chooses which provider instances are the best choices for the customer’s workloads as well as optimal hardware and software configurations for each instance.

Configurable policies mean that ICO can be tuned to the characteristics of each unique workload. For example, when a company wants to optimize for cost in a development environment but optimize for performance in production. The software enables this fine level of management based on utilization-level targets specified by the customer.

Optimization is even more important for organizations that promote distributed decision-making, enabling staff like developers to make their own choices about which cloud instance types to use. The emerging discipline of FinOps, which is a management practice that promotes shared responsibility for cloud computing infrastructure and costs, brings discipline to this practice while cloud optimization tools make detailed tracking and accountability possible. This lets staff make choices quickly and deploy functionality for the business, while the organization can have the confidence that analytics will show them where optimization can happen after the fact.

IDC research[2] found that 59% of IT automation projects pay off in less than 12 months. Given that the research firm also found that CEOs were more concerned with controlling IT costs than any other C-level executive, applying automation to cloud resource management just makes sense.

To learn more, listen in as Intel’s Jon Slusser, IDC’s Jevin Jensen, and Andrew Hillier from Densify explore the challenges of optimizing for price and performance in the cloud.

Notices and Disclaimers
Intel technologies may require enabled hardware, software, or service activation. No product or component can be absolutely secure. Your costs and results may vary. © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.

[1] Source: Future Enterprise Resiliency & Spending Survey – Wave 12, IDC, January 2022

[2] Source: Future Enterprise Resiliency & Spending Survey – Wave 12, IDC January 2022

Cloud Management

The benefits of analyzing vast amounts of data, long-term or in real-time, has captured the attention of businesses of all sizes. Big data analytics has moved beyond the rarified domain of government and university research environments equipped with supercomputers to include businesses of all kinds that are using modern high performance computing (HPC) solutions to get their analytics jobs done. Its big data meets HPC ― otherwise known as high performance data analytics. 

Bigger, Faster, More Compute-intensive Data Analytics

Big data analytics has relied on HPC infrastructure for many years to handle data mining processes. Today, parallel processing solutions handle massive amounts of data and run powerful analytics software that uses artificial intelligence (AI) and machine learning (ML) for highly demanding jobs.

A report by Intersect360 Research found that “Traditionally, most HPC applications have been deterministic; given a set of inputs, the computer program performs calculations to determine an answer. Machine learning represents another type of applications that is experiential; the application makes predictions about new or current data based on patterns seen in the past.”

This shift to AI, ML, large data sets, and more compute-intensive analytical calculations has contributed to the growth of the global high performance data analytics market, which was valued at $48.28 billion in 2020 and is projected to grow to $187.57 billion in 2026, according to research by Mordor Intelligence. “Analytics and AI require immensely powerful processes across compute, networking and storage,” the report explained. “As a result, more companies are increasingly using HPC solutions for AI-enabled innovation and productivity.”

Benefits and ROI

Millions of businesses need to deploy advanced analytics at the speed of events. A subset of these organizations will require high performance data analytics solutions. Those HPC solutions and architectures will benefit from the integration of diverse datasets from on-premise to edge to cloud. The use of new sources of data from the Internet of Things to empower customer interactions and other departments will provide a further competitive advantage to many businesses. Simplified analytics platforms that are user-friendly resources open to every employee, customer, and partner will change the responsibilities and roles of countless professions.

How does a business calculate the return on investment (ROI) of high performance data analytics? It varies with different use cases.

For analytics used to help increase operational efficiency, key performance indicators (KPIs) contributing to ROI may include downtime, cost savings, time-to-market, and production volume. For sales and marketing, KPIs may include sales volume, average deal size, revenue by campaign, and churn rate. For analytics used to detect fraud, KPIs may include number of fraud attempts, chargebacks, and order approval rates. In a healthcare environment, analytics used to improve patient outcomes might include key performance indicators that track cost of care, emergency room wait times, hospital readmissions, and billing errors.

Customer Success Stories

Combining data analytics with HPC:

A technology firm applies AI, machine learning, and data analytics to client drug diversion data from acute, specialty, and long-term care facilities and delivers insights within five minutes of receiving new data while maintaining a HPC environment with 99.99% uptime to comply with service level agreements (SLAs).A research university was able to tap into 2 petabytes of data across two HPC clusters with 13,080 cores to create a mathematical model to predict behavior during the COVID-19 pandemic.A technology services provider is able to inspect 124 moving railcars ― a 120% reduction in inspection time ― and transmit results in eight minutes, based on processing and analyzing 1.31 terabytes of data per day.A race car designer is able to process and analyze 100,000 data points per second per car ― one billion in a two-hour race ― that are used by digital twins running hundreds of different race scenarios to inform design modifications and racing strategy.  Scientists at a university research center are able to utilize hundreds of terabytes of data, processed at I/O speeds of 200 Gbps, to conduct cosmological research into the origins of the universe.

Data Scientists are Part of the Equation

High performance data analytics is gaining stature as more and more data is being collected.  Beyond the data and HPC systems, it takes expertise to recognize and champion the value of this data. According to Datamation, “The rise of chief data officers and chief analytics officers is the clearest indication that analytics has moved from the backroom to the boardroom, and more and more often it’s data experts that are setting strategy.” 

No wonder skilled data analysts continue to be among the most in-demand professionals in the world. The U.S. Bureau of Labor Statistics predicts that the field will be among the fastest-growing occupations for the next decade, with 11.5 million new jobs by 2026. 

For more information read “Unleash data-driven insights and opportunities with analytics: How organizations are unlocking the value of their data capital from edge to core to cloud” from Dell Technologies. 

***

Intel® Technologies Move Analytics Forward

Data analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? There’s always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry. Find out more about Intel advanced analytics.

Data Management

As the broader economy and business environment continues to recover and rebound, there is an opportunity for IT leaders to leverage increased budgets to strategically invest in and prepare for new approaches to enterprise technology.

As noted by Spiceworks, the majority of businesses are increasing IT spending, with a particular focus on modernisation. “The hybrid work era, which coincided with the standardisation of the cloud as the backbone for enterprise operations, has put in motion renewed demand for software and services to modernise organisations’ technology infrastructure,” the report notes.

In other words, leaders are taking the opportunity of increased spending in IT to prepare their environments for new ways of working, that better integrate cloud and on-premises computing. With hardware, this means a renewed focus on three areas: efficiency, performance, and security. To help businesses capitalise on that opportunity, Intel has designed its vPro platform to deliver meaningful gains to enterprises across all three priorities.

Performance

Hybrid work environments require higher levels of performance, as remote employees rely more on video collaboration, and the organisation looks to more intensive applications like AI, and edge deployments.

Because the vPro platform is powered by the 12th generation of Intel Core processors, it delivers the significantly improved performance needed to make these environments seamless. Intel’s stats show that the mobile processors deliver up to 27 per cent faster application performance, the desktop processes achieve 21 per cent faster application performance, and, for example, this translates to a 23 per cent faster application performance while using Microsoft Excel during a Zoom video conference call.

Efficiency and Sustainability

Last year, Deloitte research found that more than half of consumers now expect companies to take meaningful steps towards reducing carbon emissions and improving sustainability. With IT contributing a considerable amount to the power draw of the typical company, finding efficiencies through the IT refreshes becomes an effective way that the organisation to show proactive steps towards sustainability.

One of the key features in the vPro platform is the Intel Active Management Technology (Intel AMT) that allows organisation to remotely manage the energy consumption of devices by shutting inactive devices down, and reduce the need for remote callouts or deskside visits. Intel estimates that this saves around one million kilowatt hours of energy consumption for every 20,000 devices managed this way, and additionally, by eliminating the need for separate energy management software, saves organisations by $25 – $75 per device.

Security

Adapting a hybrid and flexible approach to work changes the security dynamic. No longer is the traditional “perimeter” defence going to be sufficient, as organisations house data in clouds off-site, and employees work remotely and outside of the boundaries of the organisation. Addressing this security challenge requires a renewed focus on endpoint security.

Intel provides new security features thought vPro which are designed to renew that endpoint security layer. Intel Threat Detection Technology (Intel TDT) provides ransomware detection at the hardware level, allowing for the immediate response before the infection can spread.

The vPro platform also has features to detect living-off-the-land and supply chain-style attacks with a “zero trust” approach, in which AI automatically detects anomalies when applications are behaving unusually.

The vPro Suite Explained

There are four key branches to the Intel vPro solution, designed to bring the functionality of the suite across all platforms, and for all verticals:

Intel vPro Enterprise for Windows has been designed for enterprises and managed service providers that are looking after large fleets of devices.Intel vPro Essentials is the solution that Intel uses to provide SMEs with the core security and device management capabilities available to enterprises. Intel vPro Enterprise for Chrome OS has been designed to bring the efficiency of Chromebooks to enterprise environments by boosting their performance, stability, and security features.Intel vPro, An Evo Design combines two of Intel’s flagship products to deliver the company’s vision around security, performance, and management to mobile business environments.

Combined, Intel is pushing the vPro solution to be the ideal opportunity for a refresh of the IT environment, delivering the performance required of the modern mobile, edge and hybrid-driven organisations, while also being mindful of the changing dynamics around efficiency and security.

For more information on vPro, click here.

Business Process Management, CPUs and Processors

As the broader economy and business environment continues to recover and rebound, there is an opportunity for IT leaders to leverage increased budgets to strategically invest in and prepare for new approaches to enterprise technology.

As noted by Spiceworks, the majority of businesses are increasing IT spending, with a particular focus on modernisation. “The hybrid work era, which coincided with the standardisation of the cloud as the backbone for enterprise operations, has put in motion renewed demand for software and services to modernise organisations’ technology infrastructure,” the report notes.

In other words, leaders are taking the opportunity of increased spending in IT to prepare their environments for new ways of working, that better integrate cloud and on-premises computing. With hardware, this means a renewed focus on three areas: efficiency, performance, and security. To help businesses capitalise on that opportunity, Intel has designed its vPro platform to deliver meaningful gains to enterprises across all three priorities.

Performance

Hybrid work environments require higher levels of performance, as remote employees rely more on video collaboration, and the organisation looks to more intensive applications like AI, and edge deployments.

Because the vPro platform is powered by the 12th generation of Intel Core processors, it delivers the significantly improved performance needed to make these environments seamless. Intel’s stats show that the mobile processors deliver up to 27 per cent faster application performance, the desktop processes achieve 21 per cent faster application performance, and, for example, this translates to a 23 per cent faster application performance while using Microsoft Excel during a Zoom video conference call.

Efficiency and Sustainability

Last year, Deloitte research found that more than half of consumers now expect companies to take meaningful steps towards reducing carbon emissions and improving sustainability. With IT contributing a considerable amount to the power draw of the typical company, finding efficiencies through the IT refreshes becomes an effective way that the organisation to show proactive steps towards sustainability.

One of the key features in the vPro platform is the Intel Active Management Technology (Intel AMT) that allows organisation to remotely manage the energy consumption of devices by shutting inactive devices down, and reduce the need for remote callouts or deskside visits. Intel estimates that this saves around one million kilowatt hours of energy consumption for every 20,000 devices managed this way, and additionally, by eliminating the need for separate energy management software, saves organisations by $25 – $75 per device.

Security

Adapting a hybrid and flexible approach to work changes the security dynamic. No longer is the traditional “perimeter” defence going to be sufficient, as organisations house data in clouds off-site, and employees work remotely and outside of the boundaries of the organisation. Addressing this security challenge requires a renewed focus on endpoint security.

Intel provides new security features thought vPro which are designed to renew that endpoint security layer. Intel Threat Detection Technology (Intel TDT) provides ransomware detection at the hardware level, allowing for the immediate response before the infection can spread.

The vPro platform also has features to detect living-off-the-land and supply chain-style attacks with a “zero trust” approach, in which AI automatically detects anomalies when applications are behaving unusually.

The vPro Suite Explained

There are four key branches to the Intel vPro solution, designed to bring the functionality of the suite across all platforms, and for all verticals:

Intel vPro Enterprise for Windows has been designed for enterprises and managed service providers that are looking after large fleets of devices.Intel vPro Essentials is the solution that Intel uses to provide SMEs with the core security and device management capabilities available to enterprises. Intel vPro Enterprise for Chrome OS has been designed to bring the efficiency of Chromebooks to enterprise environments by boosting their performance, stability, and security features.Intel vPro, An Evo Design combines two of Intel’s flagship products to deliver the company’s vision around security, performance, and management to mobile business environments.

Combined, Intel is pushing the vPro solution to be the ideal opportunity for a refresh of the IT environment, delivering the performance required of the modern mobile, edge and hybrid-driven organisations, while also being mindful of the changing dynamics around efficiency and security.

For more information on vPro, click here.

Business Process Management, CPUs and Processors

CIOs of large enterprises have pain points that are complex, underscoring the need for suppliers to listen intently and understand their predicaments. The challenges of managing data, the lifeblood of any enterprise, are continuously evolving and require attention because ignoring them only makes the “pain points” worse.

CIOs and their teams look to the tech industry to solve their problems, develop new, cost-effective technology solutions, and make implementation of new solutions smooth and easy, with built-in flexibility. This article explores three examples of how listening to the concerns, and changing the requirements and needs of CIOs, has resulted in viable technological solutions that are now widely in demand.

The need to improve cybersecurity by increasing cyber resilienceThe need for the lowest latency, while delivering the highest real-world application performanceThe need to incorporate AI operations (AIOps) and development operations (DevOps) as part of a modern IT strategy

As the chief marketing officer of Infinidat, I continually hear customer input and feedback, which feed into a strong cycle of continuous improvement. Product strategy must align with not only today’s needs but the anticipated, evolving needs of the future. A new product must help address or eliminate one or more pain points. Otherwise, what is its value?  This is the story of Infinidat’s comprehensive enterprise product platforms of data storage and cyber-resilient solutions, including the recently launched InfiniBox™ SSA II as well as InfiniGuard®, taking on and knocking down three pain points that are meaningful for a broad swath of enterprises.     

The need to improve cybersecurity by increasing cyber resilience

Cyber resilience is among the most important and highly demanded requirements of enterprises today to ensure exceptional cybersecurity and combat cyberattacks across the entire storage estate and data infrastructure. In comprehensive surveys by Fortune and KPMG in the last 12 months, cybersecurity has been cited as the No. 1 concern of CEOs. The continuous attempts at comprehensive theft and hostage-taking of valuable corporate data can be overwhelming. 

This naturally puts immense pressure on CIOs and CISOs to deal with the rapidly expanding threat landscape – and it’s much more than securing network connections. It now extends to the people at their desks or at the edges of the company network, creating weak points. Industry data confirms the average dwell time for an enterprise-level cyberattack is up to 287 days. The C-suite is rightly concerned about this shroud of secrecy and how eerily “patient” cyber criminals are, taking systematic approaches and looking for the tiniest of cracks to exploit. 

Cyber resilience must be part of an enterprise’s overall corporate cybersecurity strategy. One example of cyber resilience is the ability to recover known good copies of the enterprise’s data. When you’re able to do it – and do it quickly – then the leverage that the cyber attackers thought they had is dramatically reduced, if not completely eliminated. To have end-to-end resilience, an enterprise needs to build it into primary storage for the most critical apps and workloads, as well as secondary storage to protect backup copies of data. 

Infinidat added cyber resilience on its InfiniGuard® secondary storage system during the past year and, at the end of April 2022, across its primary storage platforms with the InfiniSafe Reference Architecture, encompassing Infinidat’s complete portfolio. InfiniSafe combines immutable snapshots of data, logical air gapping, a fenced forensic environment, and virtually instantaneous data recovery, and is now extended into the InfiniBox SSA II, as well as the entire InfiniBox family. 

“With the InfiniSafe Cyber Resiliency Technology extending into the InfiniBox portfolio, we’re able to provide our customers the peace of mind they need in a time filled with cyberattacks and data breaches,” said Trent Widtfeldt, Chief of Engineering, Technologent, a female-owned global IT solutions provider. “Technologent is known for partnering with the best technology vendors to ensure we bring the most efficient solutions to our customers, and Infinidat has always been a key partner in this area.”

The need for the lowest latency while delivering the highest application performance

CIOs and storage administrators have asked whether a performance void in enterprise data infrastructure could be filled – a void that no storage vendor had been able to meet to their satisfaction. It is the ability to provide consistent, ultra-low latency, super-fast response times for virtually every I/O that they process, not just great latency for an overall average of their I/Os. If this could be delivered, they said, it would provide them with valuable competitive differentiation for their real-world applications and workloads.

Although CIOs already know, for the most part, that most storage vendors can meet or exceed their requirements for bandwidth and IOPs, what they are really pointing to is the “new” storage performance battleground, which is latency. They articulate to anyone who will listen, and in a position to make it happen, how they want consistent ultra-low latency.

To address this customer demand, Infinidat developed the InfiniBox SSA II, delivering unprecedented latency. Enterprises have seen real-world workloads hit performance as fast as only 35 microseconds for storage performance. This is not an artificial “hero” number that no real application has ever seen, but an observed performance from real, live, customer applications. This enhancement allows customers to not only have optimal application and workload performance, but also allows for substantial storage consolidation, dramatically transforming storage performance, increasing efficiency, and reducing total cost. 

“Infinidat is squarely targeting this market segment with its InfiniBox SSA, and the vendor’s updated capabilities, including in particular the ability to deliver latencies as low as 35 microseconds and the InfiniBox SSA II’s new InfiniSafe cyber resilience support, make it an excellent fit for tier 0 workloads in the enterprise,” said Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies Group, IDC.

The need to incorporate AIOps and DevOps as part of a modern IT strategy

CIOs have conveyed a common reality that they are under pressure to deliver nonstop operations within budget constraints, limited headcount, and short-term deadlines. A strategy to manage such converging forces cannot be cookie-cutter. Each enterprise has its own unique operating requirements. The challenge is for the IT team to deliver new capabilities that are tightly aligned with the organization’s specific needs – and to do it rapidly and with low risk. 

A smart move for CIOs, and other IT executives, is to exploit the underlying capabilities of the installed infrastructure. This has led IT leaders to demand that their infrastructures have the highest levels of autonomous automation and intelligence, along with proven extensions to enable further operational integration. This integration includes both interoperability with incumbent IT consoles as well as simple, trusted access to unique functionality and the creation of new capabilities. Additionally, it is critical that outdated fly-by-wire management controls are replaced with infrastructure intelligence, automation, and proven solutions.

Earlier this year, Infinidat introduced InfiniOps™, a collection of extensive software capabilities that exploit world-class AIOps functionality and expedite DevOps activities. By harnessing the unique operational awareness of InfiniVerse, IT teams have streamlined storage oversight and management to unprecedented levels of set-it-and-forget-it simplicity at their local site and across the globe. Infinidat also works closely with data center AIOps vendors, such as ServiceNow and VMware, so that Infinidat’s storage platforms are integrated into their cross-data center AIOps toolsets. Additionally, a proven set of IT tools are available to further integrate InfiniBox capabilities into IT operations for standard and container application deployment environments – at no additional cost.

IT must build upon a foundation of the highest performing, most available, and most intelligent infrastructure. InfiniBox delivers on these requirements with 100% availability, microsecond latency, multi-petabyte scale, and its Neural Cache.

Newly introduced InfiniOps technologies include InfiniVerse, a solution that delivers application to storage insights as a secure, cloud-based service. IT staff can see their entire storage infrastructure across multiple sites, including key indicators such as system health, rate of capacity consumption, and SAN/WAN performance compared to internal latency measurements. InfiniOps also offers a wide variety of tools to streamline IT operations, accelerate solution deployment, and reduce internal solution development risks.

Our customers are looking for enterprise storage solutions that deliver the utmost in availability, reliability, and performance. With the InfiniBox SSA II, Infinidat has done that and more. The InfiniBox SSA II has added sophisticated AIOps technology and comprehensive cyber resilience to the solution. At the same time, the InfiniBox SSA II continued Infinidat’s powerful “set-it-and-forget-it” ease-of-use architecture. 

All of this provides our customers with a highly differentiated enterprise storage platform that provides not only strong technical values, but critical business value as well.

For more information, visit Infinidat here

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