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Accelerate Innovations with NVM Technologies for Growth, Efficiency and Market Leadership

With the continuing advancements in non-volatile memory (NVM), there will be an accelerated, dramatic
and disruptive shift in enterprise data centers over the next 3-5 years. The methods to address this
continual infinity of data storage growth will drive ‘systems’ innovations to move these NVM bits in
massive amounts with how the data centers are evolving. Developing storage capabilities to influence this
data center shift looms larger by the day with continual growth of infinite amounts of data, combined
with the limited supply of the advanced storage medium, flash bits (NAND, 3DXP).

As the applications begin to shift to web-scale methodologies, the opportunity to develop unique
products that can take advantage of 3D NAND (TLC, QLC) and Phase-Change Memory (3DX-Point) is very
promising. Technologies that can control the cost elasticity via demand pull by engaging the ecosystem
with solutions that drives platform preference for web-scale NVM workload unification will maximize huge
revenue opportunities with this transformation shift. With the clear understanding that enterprise data
centers are moving towards cloud storage, the manner in which storage is used, will dramatically change
in ways that will gain more storage capacity, at a 60 percent to 70 percent reduction in cost. 3D NAND
lithography’s capabilities in TLC going to QLC, with 3DXP, opens up the doors for an abundance of
opportunities to solve the cloud complexities, by driving the use of memory and flash as the primary
storage medium, as you cannot process edge decisions fast enough otherwise (especially with the
Internet of Things, IoT).

Unifying memory and storage workloads with simple control layers with machine learning techniques that
maximizes performance and scale with IA will produce system-level products that will separate the new
storage solutions from the traditional storage solutions. Cost leadership in QLC, coupled with
performance leadership with 3DXP, packaged cost-effectively with simple, thin-layered software
accelerants via machine learning that studies each data packet, analyzes it, then sends it to the right
storage medium will solve this almost unstoppable wave of growing data that is sweeping across all forms
of storage. These simple systems would plug into the cloud lower abstraction layer via applicationspecific
REST or SOAP API’s, that uses flash-optimized programming models like key-value stores that
dramatically reduces write amplication, while increasing performance and endurance.

It’s what the cloud data centers need and want. It’s low-cost, simple, fast, scalable, and manages millions
of NAND bits. For the data centers, it reduces the cost of the storage dramatically, yet produces much
higher data center efficiencies. Innovating at this level is what the data centers want and need to do to
grow more, simply by building intelligence into NVM to creatively produce low-cost storage solutions’
that addresses the infinity of cloud workloads. Unified workload NVM solutions that clearly addresses the
IA scaling concerns will start evolving that will develop a level of stickiness to platform preference that
cloud software applications will rely upon.

Certainly, this is an area that’s a shift from the norm, but companies that have the technology wherewithal
that can transition accurately to markets shift, will create more growth, revenue & jobs. This is not risky,
it’s a logical shift for the future of where enterprise data centers are going. With the limited supply of
NVM lithography’s, then new methods are needed to addressed the ever-increasing scale of the infinite
growth of data. The shift is real, the needs are there, NVM technology ingredients are ready for this
forthcoming and unprecedented data center shift. The race to best solve these massive enterprise data
center transitions is on…let the fun begin.

Steve Dalton

Steve Dalton is the founder, President & CEO of Linear Growth Consulting, LLC (LGC). LGC is composed of
extremely high qualified, experienced, industry-proven, high-tech executives and personnel with hundreds of manyears
of successful results with real-world understandings of how today’s companies need to be fast and nimble with
premier execution models that encourages creative entrepreneurial management necessary to compete in today’s
markets. To solve these very common executive management breakdowns, there is no better way to understand them
than by dealing with them in real time. The partners and consultants at LGC are industry, hands-on executives with
proven track records of driving and delivering disruptive solutions in Engineering, IT, Marketing, Sales,
Operations, and Customer Service infrastructures. We all exhibit strong leadership, sustained innovation, focused
execution, and a sound understanding of market requirements/shifts in defining technical strategy, building &
releasing products ground up, and working with the field to drive major customer wins. LGC strives for strong
communication skills to be adopted as this has shown to be one of the biggest reasons for a lack of management
deficiencies. Moreover, building the revenue is one of the toughest aspects of successful companies, and LGC has
all the experience, know-how, and methods to accomplish the toughest challenges that some companies may be
facing in this area. Since his ‘learn-by-doing’ undergraduate education at Cal Poly, Steve Dalton has been taking
this approach throughout his 30-plus years in the competitive, high-tech market of Silicon Valley. That is a skill
within itself and can be done only by having ‘done it yourself.’

entering startup

5 Signs To Join A Startup

I’ve been at this company for 20 plus years now, and I’m tired of the same old processes, small raises, being just a number, etc. You’ve been considering to join a startup to make more of an impact, and grow quicker in your career, along with hoping that the equity play vs higher salary will pay off. Sound familiar? Or you just got out of college, and your friends are convincing you to join a startup. You’re told it’s the fastest and quickest path to financial success. So, now you are considering to join a startup, all of which is very common in Silicon Valley.

In the first case, these individuals are just tired of the big company BS, getting very little in return for what they felt they were putting into it. Politics grew out of control, others being promoted, and it was getting old, so it was finally time for a change. So after talking to many others, they’re convinced that they want to try a startup. With the second case, the individual is young, ambitious, and has come to Silicon Valley to go to college, or from college and try to ‘make it big’ immediately by joining a startup. Many of their friends have done this and done well, yet others have not. But the determination to make it big, plays large with these individuals and startups are the only way to make the ‘big’ money with generous stock options and equity plans.

There are many other reasons to join a startup, but these are two prime examples for extremely different reasons. However, every startup is different, so when considering to join a small, innovated startup, here are 5 signs that can signal that the startup may be successful, assuming that’s the goal of every person who joins one.

1. Value Proposition

The fundamental foundation of any startup is the ‘value proposition’. The value proposition is the ability to take the idea or product of the startup and show how it will create market value that will equate to strong market growth, leading to solid sells and strong, continually growing revenue. It’s that simple. The value proposition should be able explainable in one sentence. If the value proposition is clear, understandable, and can be digested by anyone who will then ‘get it’, immediately, then this is a good sign. The startup is on to something very good. While the value proposition doesn’t book, ship and collect products and revenue. It does tells you that there is a market, where the startup sits in this market (against competition), and the probability of pending success.

2. Solid Customer Traction

Once the value proposition is thoroughly verified, backed and funded, then it must be executed to the appropriate right product(s)t, that will build a credible ‘customer’ base. Gaining just 4-5 top-notch, credible customers will expand the company’s brand and reputation with product differentiation, thus, addressing the validation, industry reliability, use cases, etc. necessary to achieve initial growth that will expand into more repetitive customers, leading to Q-Q, linear growth. If you know in advance that you have customers who are willing to pay the price you are asking for the product or service you have, the startup has overcome a huge obstacle that many run into. Too many good startups fail to sufficiently validate their customer assumptions, or try to scale too quickly before validating the initial marketplace and streamlining their costs. A successful startup scales its growth on the basis of proven, steady and paying customers; basic book, ship, collect (especially where residual/subscription income is involved). Steady acquisition is also a very good sign, as opposed to high and low fits and starts.

3. Short & Long-Term Strategic Initiatives

As with any P&L whether it’s a startup, a big company or a division within a bigger company, or just a small business, thinking long-term about strategic growth and the path it will take to achieve this success is the direct opposite of a company that is operating in panic mode, or exhibiting survival thinking. A successful startup will have a one-year and a five-year agenda; two separate plans. Getting though the first year is the hardest part of a startup, but if the company is making steady and measurable strides to meet the critical milestones, then it is poised to grow in their later years. Having a solid one-year plan that was executed and holding strong, will carry the startup into a longer-term, five-year growth curve through solid strategic thinking and initiatives. Startups thinking and executing this way bodes well for the future.

4. Cash Conservation

One of the biggest things that I learned when I left Silicon Graphics, at it’s prime, to join a startup was the way cash was handled. No more of the business class flights, generous budgets, fancy business cards, golf outings, etc. This was really tough at first, but it thoroughly educated me with how successful startups manage cash vs unsuccessful ones though my years of doing startups. For startups, cash is king. The rewards for many are stock options or equity, cooler cultures, faster-paced, voices-being-heard, etc., but the budgets are tight in all successful ones. Air travel is economy class, staying in average hotels, and either very tight or non-existent entertainment budgets. Sounds unpleasant doesn’t it? But, what most don’t see is that the startup budgets are being managed appropriately for the period that it’s in. As the company grows and expands, then the budget will be ready for this, and this shows that it’s successful. With this success, the rewards of joining a startup will pay dividends! At some point, in this successful journey, the startup will ‘cross the chasm’ that allows for more of what you left at the ‘bigger’ company. But, if a young startup is spending money at will, traveling business class, hiring at random, etc., then it’s not being managed for long-term success.

5. Leadership & Communication

As words of wisdom from Alan Hall once said, “every great leader and every great company communicates well” For a startup this is even more true! They communicate good news. They communicate bad news, with candor and straightforward language, as well. They communicate with skill; imagine the frustration of the investor who knows he or she has invested in a great company, but due to lack of communication, the world may never know. No great company was ever conceived and grown in a vacuum. Every successful company recognizes the vital need and the tremendous opportunity they afford themselves when they communicate well. Successful startups share information, which increases employee engagement, morale, and loyalty, while amplifying your own individual reach and effectiveness.

These are five good signs to sense that a startup is on the right track to success. So, if you’re really thinking about a startup but are having reservations, look for the above signs, but at the end of day, do something you are passionate about, do something you love. If you are doing something you are passionate about, you are just naturally going to succeed, and a lot of other things will happen that you don’t need to worry about. There are so many opportunities and choices that anyone can make about what they do. Do something you are passionate about. Life is too short.

Steve Dalton


Steve Dalton is the founder, President & CEO of Linear Growth Consulting, LLC (LGC). LGC is composed of extremely high qualified, experienced, industry-proven, high-tech executives and personnel with hundreds of man-years of successful results with real-world understandings of how today’s companies need to be fast and nimble with premier execution models that encourages creative entrepreneurial management necessary to compete in today’s markets. To solve these very common executive management breakdowns, there is no better way to understand them than by dealing with them in real time. The partners and consultants at LGC are industry, hands-on executives with proven track records of driving and delivering disruptive solutions in Engineering, IT, Marketing, Sales, Operations, and Customer Service infrastructures. We all exhibit strong leadership, sustained innovation, focused execution, and a sound understanding of market requirements/shifts in defining technical strategy, building & releasing products ground up, and working with the field to drive major customer wins. LGC strives for strong communication skills to be adopted as this has shown to be one of the biggest reasons for a lack of management deficiencies. Moreover, building the revenue is one of the toughest aspects of successful companies, and LGC has all the experience, know-how, and methods to accomplish the toughest challenges that some companies may be facing in this area. Since his ‘learn-by-doing’ undergraduate education at Cal Poly, Steve Dalton has been taking this approach throughout his 30-plus years in the competitive, high-tech market of Silicon Valley. That is a skill within itself and can be done only by having ‘done it yourself.’

Learn more by talking with key executives at Linear Growth Consulting, LLC
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Don’t Be a Small Version of a Big Company

Once disruption is under way, there is no stopping it. Uber is another startup disrupting the multi-billion dollar industry. Uber, as we all know, connects the people looking for a ride with the people willing to offer a ride for a small fee. This is very interesting. How come one of the large taxi companies in the US or around the world did not come up with this idea? The key is that startups like Uber do not operate as the small version of a big company. Besides, disruption in today’s world does not come just from technology. It comes from companies being able to take one part of the value chain, redefining it and on that basis rebuilding the business architecture of the entire industry. Uber started out as an app to call a taxi, but they innovated. Today, it is a way to manage the excess capacity in millions of cars around the world. In other words, they discovered new business models as opposed to executing the model of a large taxi company.

Big companies have become big because they do a good job of executing their business model. Executing the business model is not easy. You have to manage costs, improve productivity, and scale. The management science and management books have provided us with various tools, over the last century really, to help us execute business models. Budgets, score cards, operating plans, KPI, processes, etc., are tools to help us execute the business model. So in essence, big companies are good execution machines, but discovering a new business model is a whole different thing. It requires a different mindset. Executing is about optimizing the value chain, but discovering means fundamentally questioning the existing value chain, taking it apart, and putting it together in a whole different way.

Every sector in every industry is built around implicit, long-standing ideas about how to make money. In telecommunications, customer retention and average revenue per user are seen as the KPIs. In the media industry, hits drive profitability. In enterprise infrastructure sector, it is the ability to sell to small IT teams and developing the scale for a wide market distribution. These ‘best practice ideas’ reflect our shared beliefs about customer preferences, the role of technology, regulation, cost drivers, and the basis of competition and differentiation. They are often considered rules of the game. Many startups often try to win the game by following the same rules, i.e., they imitate the business models of large companies. Disruption happens when someone comes along to change the game. So how do successful startups change the game? The discovery begins with identifying an industry’s foremost belief about value creation and then articulating the notions that support this belief. By turning one of these underlying notions on its head—reframing it—startups can look for new forms and mechanisms to create value.

Step-by-Step Approach to Discovering New Business Models.

The key is to develop an attacker mindset. The idea is to attack the existing value chain, cut it into pieces, and examination or analysis of each piece to figure out if it could be done differently before putting all the pieces back together in a new way. The following step-by-step approach can be used to start the journey on the discovery path.

1. Outline the prevailing business model in your industry. What are the long standing ‘best practices’ in the industry and how do they create value ?

2. Inspect and Dissect the most important long held belief into its supporting notions. What are the most important core belief ? How do notions about customer needs and interactions, technology, regulation, business economics, and ways of operating underpin the core belief?

3. This is the most important part – Question the underlying long held belief and turn it on its head. This means forming new opinions that others may find radical. The new ideas often come from outside the industry. Someone else, somewhere else outside your industry is doing something that you find interesting. Here are a few examples of how companies did this.
– Palantir: What if advanced analytics could replace part of human intelligence?
– TSMC: What if you don’t need to develop your own process technology or invest in your own infrastructure?
– TaskRabbit – What if you can get stuff done in chunks by accessing a global workforce in small increments?

4. Sanity test your new ideas. Create many new ideas and most of them will fail the sanity check. Often the new ideas borrowed from another industry have a high chance of passing the sanity test because they are great and functional ideas in the industry from where you borrowed them.

5. Articulate the new business model based on reframed ideas. The imported/reframed ideas will need to be translated and aligned with the good parts of the current ‘best practices’.

Let’s apply this approach to enterprise infrastructure vendors

1. Outline the prevailing business model.

  • Customers & Products
  • Sell Proprietary Infrastructure solutions packaged as HW appliances to 1000s of enterprise customers. Charge an acquisition price followed by maintenance service charges.

  • Market distribution
  • Since the customers are geographically dispersed, they all cannot be reached by the company directly. by the company. This is where VARs and distributors enter the picture by offering customer outreach and value added services. They become the intermediaries in the market distribution network.

    2. Long-standing beliefs

  • Customers & Products
  • The traditional enterprise customer IT teams tend to be small. They prefer to deploy infrastructure technologies that just work out of the box, are stable and do not require much hand holding. They prefer to buy market proven products but are willing to experiment with new products if the cost savings are significant and the new products are of equal or better quality. Product reputation spreads by word of mouth and IT publications. Cloud computing is one of the biggest trends influencing the customers’ behavior about IT infrastructure. Most enterprise customer either already have a cloud strategy or are in the process of defining one.

  • Market distribution
  • If you examine the S&M costs of startups, you will find an alarming trend that they spend a very high fraction of their sales on S&M activities (S&M as a % of sales). They try to repeat the same go-to-market approach as followed by large vendors. In doing so, they are acting as small versions of large companies. Large companies grew with successful execution of their business model and became profitable only after achieving a certain scale. Why should startups follow the same script? It is expensive. Cloud computing upends all this because now customers are increasingly moving to cloud for which they don’t need the services of these intermediaries.

    3. Reframe the prevailing ideas.
    The whole Software Defined Everything trend obviates the need to buy proprietary hardware systems or appliances. Customers are willing to deploy new software based solutions that runs on standard commodity low cost equipment. In short, software delivery models are becoming popular.
    What if you delivered only the Software that runs on commodity hardware?
    What if you convince the customers to buy (download!) the software directly from your website? Would you still need large S&M? Would you still need services from intermediaries ?

    Harish Arora

    Harish Arora is an entrepreneur and a venture capital investor focused on Enterprise and Cloud Infrastructures with an emphasis on Storage, Cloud computing, Hybrid computing and BigData infrastructure technologies. Harish has executed over 10 investments and helped the portfolio companies in many ways. He has developed a good network within the VC and Corp Venture communities and has spent 15 years developing enterprise storage products in various large (EMC, NetApp) companies and two startups where he led the product engineering efforts. He is also an advisor at two early stage storage startups.

    LGC is composed of extremely high-qualified, experienced, industry-proven, high-tech executives, and personnel with hundreds of man-years of successful results in building, maintaining, and growing successful businesses. We are your Growth and Turnaround Specialists. Find out how LGC can help your business compete in today’s markets by speaking with our key executives.

    Mitigating Investor Downside (AKA: Investment Risk)

    Mitigating Investor Downside (AKA: Investment Risk)

    Investors who put up venture capital typically do so in anticipation of a positive return for a profit on their investment amount and/or for strategic value return.  The term “venture” denotes that there is an inherent risk to investing – often referred to as “investment risk”.  And yes, there is also an opportunity for a big return on that investment if things go well.  But sometimes it doesn’t go well.  So, risk mitigation is always on the minds of investors and usually considered during the investor’s own due diligence that is done before investing.  But 100% risk mitigation is difficult as investors can’t usually foresee when external factors, such as news events or changes in economic conditions, will disrupt the markets.  But investors can take some actions to help mitigate investment risks and any potential portfolio downside.  Let’s break this down to better understand investors, investment risk and risk mitigation.  

    Investors.  

    An investor is an individual or a syndicate of individuals (aka Angels) or a firm (a VC firm or a Corporate Venture VC) who provide capital to startup ventures or supports small companies that wish to expand but do not have access to specific markets.  Another type of investor is a private equity firm who invests to acquire companies with good technology in a good market but need help in scaling towards a successful revenue ramp and potentially a successful exit.  

    Investment Risk.  

    Investments carry a high degree of inherent risk which can be defined as the probability or likelihood of occurrence of losses relative to the expected return. Basically, it is a measure of the level of uncertainty of achieving the returns as per the expectations of the investor. 

    Mitigating Risk.   

    Obviously, as an investor, your goal is to achieve a positive return on your investment. However, there are times when, due to both internal and external factors, the investor’s money is at risk of being partially lost or fully lost.  This is also referred to as either a partial impairment or full impairment of the value of the investment.   However, when an investor’s investment is negatively impacted to the point of a full impairment, investors usually look at exit options that would allow an investor to recover some, or all, of their investment money.  Unfortunately, when the investment is at full impairment, it usually means that the company invested in is performing poorly and the promise of the investor’s return is no longer there.  
     
    So, what can the investor do when this happens?  In a small company / start-up investment, the options to the investor are somewhat limited.  Typically, an investor can choose to continue to fund the company in hopes that its prospects improve. This usually never works out for full recovery of the investor’s money. Or the investor can choose to divest their shares of the company it owns to a third party.  This too, usually, does not return the full investment value to the investor as their shares are usually sold to the third party at a heavily discounted price.  

    An Investor’s Alternative Risk Mitigation Path.         

    What if there was a better way for an investor to preserve a majority or in many cases all their venture capital investment in a start-up company.  This would be much preferred over taking a full or even a partial impairment or selling their shares to a third party at a heavily discounted share price. 
     
    Linear Growth, LLC (LG) offers an alternative risk mitigation path for investors.  In most situations, the financial health of a start-up company is impacted by negative market conditions and/or the lack of timely execution by the management team and/or the Board in reaction to said conditions.  LG’s turn around team will determine the root cause and next steps towards defining the process.  The following are LG’s steps towards a new approach to protect investors equity.  The LG approach… 

    Step 1.  Know what is broken.  Fix it and create a strong infrastructure… 

    In order to fix something, one must first identify and then understand what is broken and the root cause.  Is it infrastructure? Is it positioning? Is it more deep rooted, such as in the make-up of the team or the Board and/or the market that the start-up is attempting to pursue or perhaps the technology itself is flawed.  Obviously, there will be a hard decision to be made. LG’s team of specialized consultants apply best-known methodologies to identify root cause problems and then apply proven solutions to implement the necessary changes to prepare the company to move to the next step in mitigation of investor risk.  

    Step 2.  Defining a CAP.   

    LG, working hand in hand with the investors and the company, will implement a CAP “corrective action plan”.  The plan is based on the key findings in Step 1 and structured to achieve tangible results specific to generating a positive ROI for the investor and the company.  The CAP plan has built-in vectors based on quantifiable data.  The net result is a company with a stronger foundation to now move to the next step in the process.    

    Step 3. Determining what actions to take towards a positive ROI. 

    The next set of activities determine what actions to take relative to deciding on the next course of action.  After, fixing what was broken, LG ascertains the continued viability of the company.  It is important, at this stage, to determine if there is enough traction within the company, its products and go to market strategy to warrant continued funding.  Or is the company at the right inflection point to move towards an exit path.  LG will make a recommendation to the investor and/or the Board to either continue to fund or commence an exit strategy. 

    Summary 

    Investors invest in start-ups for positive ROI on their money.  When that doesn’t happen, investors take action to minimize the downside of their investment.  Investors’ options, in many start-up cases, are limited.  Engaging a new business paradigm to protect their investment should be of great interest to any investor.  LG’s model is based on the premise of protecting all or most of the investor’s investment by utilizing both new and proven methods coupled with a proven team of industry specialists. 
     
    We are proud to have John Mascarenas on our Advisory Board.  He has s 34+ years of experience in high-tech (IT, Biotech, Health). Currently an advisor/consultant at large, John provides Advisory Services for equity, business development, business strategy, M&A to both small (startups, incubators, accelerators) and big companies.  

    His specialties lie in the areas of deal sourcing, analysis/negotiation, alliances, venture, M&A, business dev, management, team and company building, sales, engineering. Domain expertise: semiconductors, wireless, IoT, AI, storage, comms, Enterprise, software & services, networking, biotech, mobile/wireless, infrastructure, Data Centers/Cloud/Services, health. 

    LGC is composed of extremely high-qualified, experienced, industry-proven, high-tech executives, and personnel with hundreds of man-years of successful results in building, maintaining, and growing successful businesses. We are your Growth and Turnaround Specialists. Find out how LGC can help your business compete in today’s markets by speaking with our key executives.

    How to Manage a Team That’s Smarter Than You

    The world of high tech is full of extremely intelligent, educated, and talented people. However, there’s a dark secret that many managers may be afraid to admit – that they are leading a team that is smarter than them.

    Many in this position might fear they could lose their jobs or look weak to upper management; or worse, they might fear that they look like a fool to their staff. On the contrary, leading a smart staff to success reflects well on the organization, the team, and its leaders.

    If you are a supervisor in this kind of spot, don’t be ashamed. Instead, view it as both a compliment and an opportunity.Here are six keys to successfully managing smart people:

    1. Encourage Your Team to Become More Engaging

    Use your coworkers’ expertise to your advantage and do not allow yourself to be unnerved by intelligence. Often, those who feel intimidated will try to overcompensate by micromanaging. That only backfires; annoying your coworkers, damaging team morale, or worse, they might lose their trust in you as a leader.

    Instead, center your efforts on identifying talent and using it to the team’s advantage. Allow your team to take ownership in the tasks and projects they are involved with. Be supportive in their decisions where it makes sense, and your team will develop pride and confidence in the work they perform. This will allow you to become an effective leader as a manager and influencing engagement with your staff.

    2. Look for the Best and Brightest of the Talent Pool

    When it comes to hiring, you need to identify skills that may be lacking in your team and seek out the smartest applicant to fill that gap. Keep into consideration similar traits your top performers have in the applicants you are hiring. Try to hire those who work collaboratively and steer clear of the “know-it-alls”, even if they are the smartest applicants.

    3. Focus on Collaboration

    If you don’t know the solution to a problem, put your best minds on it by throwing it to the team. Your team is in the trenches dealing with problems every day and they will be your best bet in figuring out the best solutions. “What do you think we should do?” Asking for help earns you the respect of your coworkers and gives them ownership of the process.

    4. Shine the Light on Talent

    Having bright people on your staff gives you bragging rights. Frequently and freely offer genuine praise or rewards to highlight a team member’s expertise. When highlighting collaborative work, mention contributions first and foremost. Genuine recognition goes a long way, and smart people will appreciate the trust you’ve bestowed in them and will reward it with continued loyalty and hard work.

    5. Enable Excellence

    Ask your team members what they need to succeed and then make sure they get it. If your staff has the tools to excel in their jobs and build their expertise at the same time, it will mean better results overall. Remove any obstacles that are in their way to success and provide them with what they need to perform their duties better.

    6. Recognize Talent

    Make it a goal to retain the talent and reward it by allowing them to take risks. Smart people enjoy projects that test their abilities. Support and encourage them in the process, and give them credit when they succeed. Shield them if it doesn’t go well. Make their successes part of your management style.

    A successful manager cultivates the talents of their workers instead of trying to match wits with them. They don’t care if others view them as less intelligent than their team. After all, if the team succeeds, everyone succeeds.

    Rochelle Marapao

    Rochelle Marapao is the co-Founder and Managing Director of Linear Growth Consulting, LLC (LGC) with almost two decades of experience in technology startups and helping to build them from the ground up. LGC is composed of extremely high-qualified, experienced, industry-proven, high-tech executives, and personnel with hundreds of man-years of successful results in building, maintaining, and growing successful businesses. We are your Growth and Turnaround Specialists. Find out how LGC can help your business compete in today’s markets by speaking with our key executives.

    startups need leaders, not bosses

    Startups Need Leaders, Not Bosses

    There’s no place where strong leadership is needed more than in a hectic startup environment where the odds are stacked against you, and “superhuman” efforts to gain and maintain traction are required daily, not quarterly. But what is the difference between being a boss and being a leader?

    Bosses stick to a preordained script and defined roles, connoting little else but hierarchal authority and approaching their contributions in the context of their own careers—their compensation, personal goals, and their place on the totem pole. Leaders, especially the transformational ones, inspire positive change in others. They earn trust, create cohesion, and raise morale. Bosses tell people what to do, while leaders inspire people to do their best.

    When getting a company off the ground, especially in the startup world, there is no room for bosses, only leaders. Here are 5 qualities that emerging leaders should possess:

    1. Ability

    A visionary can set the path for the company while a solid boss can execute it, but it takes a true leader to do both. A true leader should exemplify the ability to chart the course and get everyone pointed in the right direction. There’s too much ground to cover in a startup environment for senior employees to be focused solely on either long-term strategy or day-to-day tasks. Instead, it’s vital to create a culture in which people feel a sense of ownership and efficacy in growing the company.

    2. Passion

    Passion is defined as, “a strong feeling of enthusiasm or excitement for something or about doing something.” Passion drives true leaders to succeed. Working a nine-to-five is unheard of for the best business leaders, especially in the startup world/entrepreneurial environment. Even after leaders leave the office, their minds are churning for new ways to adapt and innovate, which makes them exude an excitement for their company that’s palpable to every employee.

    3. A Powerful — and Appreciative — Magnet for Talent.

    People choose leaders, whereas bosses are foisted upon them. If a boss can’t build out their own team—recruiting the best members, he cannot be a company leader. Leaders motivate their team and work on building each member to the highest level of success, because they understand someday these members will need to be in a position to lead. Great leaders understand they could have never made it this far alone.

    4. Understanding Resources

    A boss takes a given set of resources and parcels them out as efficiently as possible. They organize an army. Given the same set of resources, a leader leverages them. They amass an army. A good leader has an understanding of how to generate resources, not just allocate them. In a startup environment, the primary challenge is not typically divvying up resources, but hiring the right people to develop the best strategies and most efficient processes who leverage those resources. Leaders recognize the difference and focus on not just the next step, but 10 steps down the road, building a company for the long haul and not just checking items off a daily to-do list.

    5. 360-Degree Thirst for Knowledge.

    Some have said good leaders must be good learners, and good learners must be good listeners. It’s a motto that really resonates with me. Leaders must keep their eyes and ears open to feedback from their staff, clients, and industry.

    Rochelle Marapao is the co-Founder and Managing Director of Linear Growth Consulting, LLC (LGC) with almost two decades of experience in technology startups and helping to build them from the ground up. LGC is composed of extremely high-qualified, experienced, industry-proven, high-tech executives, and personnel with hundreds of man-years of successful results in building, maintaining, and growing successful businesses. We are your Growth and Turnaround Specialists. Find out how LGC can help your business compete in today’s markets by speaking with our key executives.

    10 reasons startups fail

    10 Common Reasons Why Startups Fail

    After going through 3 IPO’s and 3 other startups that were sold or merged and seeing the good, the bad, and the ugly points to the sole reminder of how difficult it is in Silicon Valley to prosper with early-stage and startup companies. It’s easy to talk about the successes, because it shows one as ‘successful’ and no one likes to talk about ‘failures.’ But there’s a reason why 90% of startups fail, and if people want to grow in Silicon Valley, then failure is the best way to win the next time. In truthful terms, most people involved in startups have failed at some point, yet they either refuse to learn the reason or blame the things that really weren’t the reasons and wonder why they failed again at the next startup.

    Not that I like failure, but I was taught at a young age that you learn from mistakes (yours and others). While it’s so easy to take the path of the ‘blame game,’ if you are part of a startup that has failed, you can’t blame anyone except yourself. But LEARN from it, so you can prepare better for the next startup.

    In any case, I have seen it all and have, as well, blamed others. But every time I come back and say to myself, ‘how did I not see this?’, ‘why didn’t I look into this first?’, ‘if only I had asked this question before taking the job,’ and so on. But it’s on me, no one else. If you plan on going to a startup and want to even start a company, you should look at these 10 fundamental reasons startups fail before you can have any hope your company will have a chance at success.

    1. Ideas Are Not Salable

    Ideas are what start new companies. Normally, the best ones are thought of while just doing day-to-day life things when the idea pops up on how to do something better or how to solve a major problem. Great startups that led to new frontiers like Intel, Apple, Microsoft, Silicon Graphics, Sun, Netscape, etc. were ideas that were turned into great companies because of the massive problems their technology solved. These companies created markets (computers, operating systems, CGI/computer graphics, workstations, internet) and did not follow others. Unlike these great pioneering companies, many startups today are ‘followers’ in an already very crowded market. Avoid these! Startups that claim they have a new, better, faster version of the earlier, pioneering companies that created the respective market (ie flash arrays, cloud, etc.) are red flags. More often than not, these are funded by VC and management connections vs having fantastic products that will ‘sell itself.’ Most likely these products are deviations from the foundational products that started the market and aren’t salable in any quantity that merits success. Before you begin any startup, do your research on the salability of the products. If you come from the respective domain space, you should know the answer.

    2. Founders Hold on Too Long

    Founders of startups are innovative and smart but are many times very complex as well. Venture firms will fund some of these just for who the founders are and their past track record. However, they usually have never run companies, and the intricacies of solving day-to-day issues across a company are not easy or for everyone. Founders are mostly engineers, and their place is to help the idea that got funded. They are not the best people to run companies, as they are focused on their own ideas, vision, and more often wrapped up in their own place. Startups that have the founder in a CEO or key executive business position are red flags and the ones to be careful of. There are exceptions, like Steve Jobs and Mark Zuckerberg, but for every Jobs and Zuckerberg, there are 50 others startups that have failed with founders holding on too long.

    3. One Size Does Not Fit All At the Executive Level

    Not sure how many times I’ve heard that this executive person did this, that, and the other, etc. at another company and was fantastic. Well, that ‘other company’ was just that: another company, meaning it had different products, different R&D model, perhaps a different market, different GTM, different sales model, different P&L structures, different operations, etc. Every company is different, and one size does NOT fit all, especially at the executive-level. Executives of startups need to have solid domain expertise across the board (CEO, CMO, COO, VP R&D, etc.). The idea that got funded needs to turn into revenue, increase the company value, and hopefully find a path to an exit (sale or merge; rare to IPO). If you do not know how to do this (ask this before you take the job), the startup will fail. Understanding what it takes to build revenue is the hardest part of a startup, and you can’t put in what may have worked at another company and have it magically work in this new company. Way too many executives are selected based on the buddy system or their track records but are not skilled in the new startup products, domains, and infrastructures. In this case, it’s only a matter of time before these startups fail, and then people ask why. Next time, ask the people hiring you at the startup if the executives have a game plan or not for the company. See what their answer is. That should be enough to make your decision.

    4. Experience & Entrepreneurship Matter

    Along with domain expertise, the executive-level positions must have startup experience. I can’t reiterate how important this is. Running a startup vs a division within a big company (ie Apple, IBM, HP, etc.) is night and day different. Only two major things will surface if you know the executives are good: they must extremely execution-oriented and be savvy with cash-flow management. In other words, they need to be able to execute and sell the product as well as be able to raise, save, and manage the funds that will be very tight. In big companies, most executives do not do these jobs or have people doing them. But in a startup, the executives had better be skilled to do these jobs. Small companies will fail for many reasons, but lack of skill in execution and cash-flow are the main ones. Again, domain expertise is a given. Not one startup should be led with executives out of the product’s domain space. However, even with this, if executives do not have the startup experience that teaches them to run things much differently than big or even mid-size companies, avoid them. Big names from big companies net big failures for startups.

    5. Do Not Play Only Your Part

    In startups, the executive team needs to work together and have the best chemistry. I can’t think of a stronger case for chemistry being needed than this. Startups are on a time leash, and there are not two chances for failure. To ensure startups of having greater success, the entire management team needs to be connected at the hip. Think of management as the pillars that are holding up the small amount employees. These pillars are the foundational strength of the people. Yet how often have we heard that if one collapses then they’ll all collapse? This backwards thinking of many people is not true. It should be when one collapses, the other pillars need to get stronger to pick up the pillars that are falling. Not following the statement, ‘I’ll play my part and you play your part’. If this were the case, you can see why this reasoning just continually hurts startup after startup. Before going to a startup, make sure the management team is all on the same page with a chemistry level that bodes confidence in the growth of the company. Avoid the ones that smell of politics. You’ll know this in the interviewing process.

    6. Management Ties In With VC’s

    Most VC’s will say the main reason we made the investment was the management team. I’ve heard this way more than I’d like to. If I do hear it, I usually avoid them. This has to be one of scariest reasons to make a multi-million investments. Typically the real reason is that the person made the VC’s some good money in another startup gig, and the VC’s feel that they’ll do it again. In the meantime, when digging deep into the new products, markets, financial model, infrastructures, etc. they are mostly different, and this particular management team that did so well in the previous startup has no idea about the new one. But with the VC ties, they are golden. It’s their way or the highway. Failure will happen, but management will stay intact because of the relationship with the VC’s. If accountability is not implemented from the top and down, the startup will fail. That should begin from the very first day, and will be clear if it’s in place. So check the relationship with the management team and investors before starting. You can ask these questions in the interviewing process. And if you don’t get answers, that’s your answer.

    7. Fast and Furious

    If you happen to get in a good startup that has made traction and has done well, say for a couple of years, you’ve made the right selection upfront. Congratulations. However, stay on your toes, because it now means your company has ‘awoken a sleeping giant’ in the name of bigger companies you compete with. Management can easily take their foot off the gas pedal when things are going well and lose the vision, thus forgetting to look ahead. Former Intel’s chairman Andy Grove’s saying, ‘only the paranoid survive’ can’t be more truthful at any stage of any company, let alone in a start-up. Success brings competition and unless the culture has that ‘fast and furious’ approach, it may not take long for the bigger companies to squash you and even other startups the same size as you. Never should a company feel safe, which makes every Silicon Valley company stressful. But that’s nature of the business. It’s cut-throat. Keep an eye on the culture as the company evolves. It should have the same drive when success has hit as when the company started.

    8. Know What You Know

    It’s interesting when I talk to VC’s and management at startups on their paths to building revenue. Many will say they’re going to hire this ‘dynamite’ sales person who is top-notch. When that person is in place, sales will take off. From first-hand experience, this is a path to failure. You don’t need this type of sales infrastructure at this stage, until you know what it is you know. Not that this person is not a ‘dynamite’ sales person, but having them means much more of the startup funds will be spent in advance of decent revenue growth when it’s not necessary. Startup’s initial revenues should be decent, if not semi-substantial, before hiring a huge sales and marketing team. So who should sell then? As I mentioned earlier, if the CEO is not from the domain space, you’ve got a problem already. A domain-savvy CEO should be the number 1 person, along with the founder(s) and key technical folks as needed. These are people who know how to present the product, value prop, solve the customer’s problems, etc. first-hand and can close the deals while preserving the funding. At least, they had better be able to. That’s the main job of CEO’s in startups. In early-stage start-ups, you need to start building a revenue base with this team before you pull in more money for growth. Actually, Series B or higher will never come unless you have decent sales growth. I call it building the foundation. I cover this and the other 2-phases of building a successful company, ‘establish credibility’ and ‘grow the business’ on my website. If you happen to being looking at a startup that has a pretty big sales and marketing team without much revenue, avoid them. There are red flags all over that one.

    9. Time Is of the Essence

    If a startup is on the third or fourth CEO or other executive management positions (ie R&D, Sales, Marketing, etc.), avoid it. The product is not producing the results it was funded for. On top of this, most likely, the product direction will be changing and will be in starting-over mode again. In any event, the product line needs to be bullet-proof, and running on all cylinders before growth and expansion can happen. In startups, usually the growth will take place after a year or two, if done right. If a startup is in its seventh year, what makes you think it’s going to be a success in its eighth year? I’m sure very capable people were in these positions early, but it shows lack of execution on all fronts. With startups, time is of the essence to make an impact. By the fourth or fifth year, they usually go into ‘has-been’ modes and turn into just a job. Look at the evolution of the startup, year-to-year performance, market credibility, and executive turnover. Clear indications here will be the tell-tale sign of whether to join or not.

    10. Investor’s Patience

    In defense of some management, some startups are driven by the investors (venture or private equity firms). It goes without saying, avoid these. If the CEO does not get to execute their game plan to run the company, be careful. You’ll know this by looking at your hiring manager’s confidence and body language. Some investors and boards don’t know when not to intervene and make management changes too often. Their patience is very small. It actually does keep some good CEOs and executives from joining these types of companies when they know these types of investors are involved. It’s extremely hard for any CEO, let alone a very good one, to get a startup clicking (as seen on my website) and if they don’t give the CEO the time needed, it’ll be in a constant downward spiral. Research the investors and board, and know their past track-records by looking at their past portfolios. That will give you what you need to know before deciding to join or not.

    I hope this helps with your analysis of joining a potential startup. Or if you’re at one, some helpful advice that may help you make some future decisions. I always like to see startups become successful and strive hard to learn from the past and apply the learnings to the future. I’ve seen enough in my days and have been at fantastic startups but have also seen how they can be destroyed due to the reasons I listed above. I certainly learned a lot in my 30 years, and I hope this helps you as well.

    Steve Dalton is the founder, President & CEO of Linear Growth Consulting, LLC (LGC). LGC is composed of extremely high qualified, experienced, industry-proven, high-tech executives and personnel with hundreds of man-years of successful results with real-world understandings of how today’s companies need to be fast and nimble with premier execution models that encourages creative entrepreneurial management necessary to compete in today’s markets. To solve these very common executive management breakdowns, there is no better way to understand them than by dealing with them in real time. The partners and consultants at LGC are industry, hands-on executives with proven track records of driving and delivering disruptive solutions in Engineering, IT, Marketing, Sales, Operations, and Customer Service infrastructures. We all exhibit strong leadership, sustained innovation, focused execution, and a sound understanding of market requirements/shifts in defining technical strategy, building & releasing products ground up, and working with the field to drive major customer wins. LGC strives for strong communication skills to be adopted as this has shown to be one of the biggest reasons for a lack of management deficiencies. Moreover, building the revenue is one of the toughest aspects of successful companies, and LGC has all the experience, know-how, and methods to accomplish the toughest challenges that some companies may be facing in this area. Since his ‘learn-by-doing’ undergraduate education at Cal Poly, Steve Dalton has been taking this approach throughout his 30-plus years in the competitive, high-tech market of Silicon Valley. That is a skill within itself and can be done only by having ‘done it yourself.’

    Learn more by talking with key executives at Linear Growth Consulting, LLC

    Creative Management

    Great leaders have many skills, but out of these, there is one skill that will that sets the tone of their success or failure. There is one big thing to remember; that not all past ways may work from one company to the next. No matter what, a different company will exhibit technological difference that require much different development, operational, GTM, sales structures, etc. that meet the needs of the respective company. Time-to-market is of essence, but if the management team is merely putting in what may have worked in their past company(s) into their new company, then this is disaster waiting to happen, this has never shown success in any case study, and I can show and give plenty of examples. Great leaders should have many ways to adept to evolving changes in today’s high-technology companies. This is creative management vs ‘hand-me-down’ management. It’s a skill that’s earned with experience that has proven to be successful, time and again.

     

    The management team should always on the same page to understand the essentials for execution of not only their organizational responsibilities, but to help others in different areas that may need their support. These areas could include such things as product and roadmap feasibility, market TAM’s, competitive environment, engineering execution (ie product release processes), operational models (ie manufacturability, inventory management, etc.), GTM overlay into sales models, support and services models, etc. All these areas are the ‘foundation of the company’ and they need to be established properly to execute on all fronts. Think of them as all connecting together, like Lego’s to build a great output or something that people are proud of. They must all have to click together and, if not, then there are breakdowns, and goals/results will not be met. It’s critical that every management team member is aligned.

     

    Building the company’s foundation is the crux of every company’s problem and takes the longest to fix. The very first thing that breaks companies, is the management team chemistry. It’s absolutely critical that the management team is working together on all cylinders because not only are there dependencies with each other’s organization that are keys to the company’s success, but it’s critical that every departmental leaders understands the elements of all the other departments as well. If they’re great executive leaders then they better know their own respective department and charter, inside and out. However, if the marketing leader fully understands the charter of the engineering leader, and vice-versa, then I guarantee you that the output of both respective leaders will be even higher. This is very easy to see and the employees just feed off of this, positively. It’s the exact opposite, of ‘I’ll play my part and use play yours’. Management team members need each other to win, just like any team sport; if all the players on the team are working together in harmony then an average team can beat better teams that have ‘me-only’ players.

     

    Simply put, this is creative management and it’s the job of the management team to work together, leveraging old ideas with new ideas, thoughts and mindshare to do what will work for this, particular company in order to help achieve company success. It’s not just ‘one’ individual. It’s absolutely key to make sure these foundational areas are all working together like Lego’s are linked together to achieve their goals, before any movement in the market would be expected. Without this, then management is setting false expectations to employees, board members, shareholders and other key stakeholders. It’ll turn out to be just all talk, with no positive results. Building the foundation is the key of any successful company, and it all really starts with having the management team in unison from the beginning.

     

    Learn more by talking with key executives at Linear Growth Consulting, LLC

    Exciting Times…

    We are living in an interesting time where we are seeing technology innovations happening at much faster pace than ever. This is driven from the ever growing requirement of doing things faster, with extreme data volume, simplicity and at lower cost!
    Many software-driven solutions have sprung up in recent years to leverage commodity hardware to provide very cost effective and easy to use infrastructure for running various workloads. While classical workloads (based on Databases – OLTP, OLAP, Exchange etc.) still drive the enterprise data center, newer workloads (based on Object stores, NoSQL etc.) have seen rapid adoption. Emerging scalable Analytics solutions are providing deeper insights, thereby enabling better decisions from rapidly/massively growing data (BigData). HyperVisors from various vendors have dramatically simplified the management of variety of workloads and have maximized the utilization of hardware. Public cloud vendors (Amazon, Azure etc.) and private/converged cloud vendors (VCE, Nutanix etc.) have rolled out tightly integrated hypervisors, management apps with scalability software IPs on off-the-shelf hardware to deliver infrastructure where workloads can be deployed and run with few clicks thereby greatly simplifying the job of data center admins. The Software Defined Data Center is no longer just a buzz word, it is happening now. Users are shifting from building their own infrastructure – by independently buying server, switch, storage, software – to either public or private clouds where resources are already integrated and ready to use!

     

    These changes create exciting times for everyone in the data center!

     

    But New Disruptive Innovations Are Happening in Hardware…

     

    While this first wave of software-led innovation on commodity hardware of ‘today’, is continuing and maturing – a fundamental shift has begun to happen in underlying hardware technologies. These new hardware technologies are quite disruptive. As they transition from being mere ideas, to real products – another wave of software innovation is inevitable. These new hardware are not only showing the early signs of enormous benefits for the applications of today, but are also uncovering newer use cases. There is a great deal of excitement around the arrival of persistent memory (Xpoint etc), low latency interconnect product/solutions (RoCE, etc.), low overhead container technologies and recognition of new roles for FPGA/GPU. All these technologies are moving towards the same goal of accelerating workloads in a cost effective way.

     
     

    So… What Does It Mean To Software And What Solution Opportunities They Present?

     

    As most of these hardware components are making their way into the eco-system, they are also showing the need for the software stack to evolve. The software stack needs to adapt to consume one or  ‘combination’ of these new components, in meaningful way, for dramatic improvement of workloads.

     

    Let’s take a look at an example of two of these hardware innovation and potential gaps in today’s software stack preventing their full exploitation. The new ‘persistent memory’ and ‘low latency network interconnect’ technologies are promising that building a rack with following ingredients will be possible in near future:

     

    • Large persistent Memory (for storage) with ‘1µsec’ latency

    • Network interconnect with ‘1µsec’ latency

     

    That’s an order of magnitude better than the combined latencies (100s µsec) that exist today for equivalent components within a rack. So, imagine the impact when access to persistent data both – ‘within’ and ‘across’ compute nodes can be super-efficient. It is very disruptive! These have the potential to help accelerate many of today’s workloads (5X/10X/20X acceleration?) irrespective of whether they are single threaded (1 queue depth) or multi-threaded (with multi queue depth). That means a rack built with these capabilities can run many more workloads (and faster) than can be done today in equivalent footprint. This has significant implication on business agility, power savings, real estate etc. But that’s not all. The new storage access models (persistent memory and low latency network interconnect) also promise to dramatically improve/simplify programming of quite a few applications. These innovations will have a larger impact on workloads than all-flash arrays had when they arrived in the data center!

     

    However, the software stack of today is not ready to truly leverage the benefits offered by these upcoming disruptive hardware. The overhead of the current system software stack (in IO path and data services path) masks benefits these technologies offer. A research paper from Georgia Institute of Technology (Systems and Applications for Persistent Memory), notes:

     

    “…Research has shown that, as storage becomes faster, software overheads tend to become the most dominant source of wasted effort, therefore necessitating rethinking of the software stacks [105]. As discussed earlier, traditional storage stacks assume that storage is in a different address space, and operate on a block device abstraction. They implement intermediate layers such as page cache to stage the data. When using PM (persistent memory), such a layered design results in unnecessary copies and translations in the software. It is possible to eliminate these overheads by completely avoiding the page cache and the block layer abstraction. Providing low overhead (but managed) access to PM is critical to ensure that applications harness the full potential of PM… ”

     

    Given these hardware components are coming and will become ‘commodity’ at some point, solving the Software stack (especially the IO path and data services path) problems of today, are a significant opportunity. Furthermore, because these components and software are not available in ‘usable overall product’ form, innovation to provide these capabilities in an integrated product is a tremendous opportunity. Someone needs to take a step back and build a solution which can glue together these discrete but related pieces of innovation in a usable ‘finished product’ form. Essentially build a user consumable end-product – which integrates these new components with innovative changes in software stack!
     
     

    Well… Quite a Few Research and Efforts Are Already in Works…

     

    Several open source initiatives are in play and many companies are collaborating together to standardize interfaces and show results on benefits for various workloads. Many possible solutions and workload transitions are being discussed.

     

    Persistent Memory Programming Model

    • http://pmem.io
    • “For many years computer applications organize their data between two tiers: memory and storage. We believe the emerging persistent memory technologies introduce a third tier. Persistent memory (or pmem for short) is accessed like volatile memory, using processor load and store instructions, but it retains its contents across power loss like storage.”

     

    Georgia Institute of Technology

    • SYSTEMS AND APPLICATIONS FOR PERSISTENT MEMORY
    • “Emerging non-volatile (or persistent) memories bridge the performance and capacity gap between memory and storage, thereby introducing a new tier. To harness the full potential of future hybrid memory systems coupling DRAM with PM, we must build new system software and application mechanisms that enable the optimal use of PM as both fast storage and scalable low cost (but slower) memory“

     

    SNIA

    • http://www.snia.org/forums/sssi/nvmp
    • “A new programming model for persistent memory (PM) – NVM hardware designed to be treated by software similarly to system memory”
    • http://www.snia.org/sites/default/files/NVM/2016/presentations/RickCoulson_All_the_Ways_3D_XPoint_Impacts.pdf

     
     

    So… What Products/Solutions and Markets We are Talking About?

     

    Momentum is building and recognition is growing about the existence and potential of these innovations as they make their way into the market and the expectation is that they will be the ‘commodity’ hardware in future. It takes time for the data center ecosystem to embrace a change unless the change is – transparent, dramatically improves existing architectures and is available for easy experimentation.

     

    Accordingly, to really shake things up and move things at faster pace, there is a very attractive opportunity to roll out a solution/product – a software stack packaged with these innovative components – wherein the solution:

     

    • Tangibly and transparently delivers the benefit to existing workloads and tremendously accelerates them.
    • Creates opportunity for easier experimentation and deployment of newer workload by supporting the new open standards to let newer applications be developed on the platform.

     

    I am very sure there are many similar minds out there who already are working on a product which will accomplish similar goals. I would love to hear from you on your progress or thoughts in general 🙂

     

    In my next blog, I will cover a few other hardware innovations, their impact and why they need be part of overall solution too and how they may impact the converged solutions of today.

     
     

    Acknowledgements

     

    This blog is a product of research paper reviews, my past experience but most importantly the discussions I had on my initial idea with several experts in my network. I am thankful to all of them for their time in brainstorming. Further, thanks to all researchers who are publishing great papers in this area and keeping everyone enlightened with their results