Managing the Performance of Cloud-Based Applications

In the last post I covered several architectural techniques you can use to build a highly scalable, failure resistant application in the cloud. However, these architectural changes – along with the inherent unreliability of the cloud – introduce some new problems for application performance management. Many organizations rely on logging, profilers, and legacy application performance monitoring (APM) solutions to monitor and manage performance in the data center, but these strategies and solutions simply aren’t enough when you move into the cloud. Here are a few important considerations for choosing an APM solution that works in the cloud.

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Graphene: The Silver Lining for Cloud Computing?

The new wonder metal, graphene, is being looked at as a building block for communications and electronic devices on the level of what the transistor was sixty years ago.
Graphene is a one-atom thick, mesh-like (think hexagonal honeycomb or chicken wire), semi metal that will add more battery-life into a smartphone among other breakthrough ideas like bendable displays. It is also ten times stronger than diamonds so its resiliency is perfect for use in a smartphone or any other device that requires super-ruggedness.

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Shifting the Storage Paradigm | Part One: The Evolution of Data

The storage industry is going through a big paradigm shift caused by drastic changes in how we generate and consume data. As a result, we also have to drastically change how we store data: the market needs massive, online storage pools that can be accessed from anywhere and anytime. Object Storage has emerged as a solution to meet the changing needs of the market and it is currently a hot topic as it creates opportunities for new revenue streams.

In this three-part blog series, I will explore how storage has changed – creating a need for new methodologies – and why object storage is the prevalent platform for scale-out storage infrastructures.
To understand how storage has changed, let’s take a look at how data has evolved over the past three decades, paying special attention to data generation and consumption.

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Essential Characteristics of PaaS

There’s been a lot of discussion on the Internet about the definition of Platform-as-a-Service. Here’s just a few very active Twitter discussions to illustrate the level of activity and passion over the topic:
This is just a few of the hundreds of tweets returned when I queried “Paas” and “definition”. The interesting thing is that the sheer breadth of the discussion makes it very difficult to nail down exactly what it is.

Gartner Group’s method of responding to the madness was to develop their own taxonomy of PaaS, which seems to have been very helpful for them in organizing their research, but, in contrast to many other things Gartner has led on defining, their PaaS taxonomy has not really caught on with the cloud community. The Gartner taxonomy breaks things out based upon the primary functionality of the platform, such as application development, business process management and event processing. However, this dichotomy actually impairs their ability to abstractly define the essential characteristics of a PaaS.

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The Big Shift: From Cloud Skeptics & Magic Pills to ITaaS Nirvana

By Ron Dupler, CEO GreenPages Technology Solutions

Over the last 4-6 quarters, we have seen a significant market evolution, with our customers and the overall market moving from theorizing about cloud computing to defining strategies and plans to reap the benefits of cloud computing solutions and implement hybrid cloud models. In a short period of time we’ve seen IT thought leaders move from debating the reality and importance of cloud computing, to trying to understand how to most effectively grasp the benefits of cloud computing to improve organizational efficiency, velocity, and line of business empowerment. Today, we see the leading edge of the market aggressively rationalizing their application architectures and driving to hybrid cloud computing models.

Internally, we call this phenomenon The Big Shift. Let’s discuss what we know about The Big Shift. First for all of the cloud skeptics reading this, it is an undeniable fact that corporate application workloads are moving from customer owned architectures to public cloud computing platforms. RW Baird released an interesting report in Q’4 of 2013 that included the following observations:

  • Corporate workloads are moving to the public cloud.
  • Much of the IT industry has been asleep at the wheel as Big Shift momentum has accelerated due to the fact that public cloud spending still represents a small portion of overall IT spend.
  • Traditional IT spending is growing in the low single digits. 2-3% per year is a good approximation.
  • Cloud spending is growing at 40% plus per year.
  • What we call The Big Shift is accelerating and is going to have a tremendous impact on the traditional IT industry in the coming years. For every $1.00 increase in public cloud spending, there is a corresponding $3.00-$4.00 decrease in customer-owned IT spend.

There are some other things we know about The Big Shift:

The Big Shift is disrupting old industry paradigms and governance models. We see market evidence of this in traditional IT industry powerhouses like HP and Dell struggling to adapt and reinvent themselves and to maintain relevance and dominance in the new ITaaS era. We even saw perennial powerhouse Cisco lower its 5 year growth forecast during last calendar Q’4 due to the forces at play in the market. In short, the Big Shift is driving disruption throughout the entire IT supply chain. Companies tied to the traditional, customer-owned IT world are finding themselves under financial pressures and are struggling to adapt. Born in the cloud companies like Amazon are seeing tremendous and accelerating growth as the market embraces ITaaS.

In corporate America, the Big Shift is causing inertia as corporate IT leaders and their staffs reassess their IT strategies and strive to determine how best to execute their IT initiatives in the context of the tremendous market change going on around them. We see many clients who understand the need to drive to an ITaaS model and embrace hybrid cloud architectures but do not know how best to attack that challenge and prepare to manage in a hybrid cloud world. This lack of clarity is causing delays in decision making and stalling important IT initiatives.

Let’s discuss cloud for a bit. Cloud computing is a big topic that elicits emotional reactions. Cloud-speak is pervasive in our industry. By this point, the vast majority of your IT partners and vendors are couching their solutions as cloud, or as-a-service, solutions. Some folks in the industry are bold enough to tell you that they have the magic cloud pill that will lead you to ITaaS nirvana. Due to this, many IT professionals that I speak with are sick of talking about cloud and shy away from the topic. My belief is that this avoidance is counterproductive and driven by cloud pervasiveness, lack of precision and clarity when discussing cloud, and the change pressure the cloud revolution is imposing on all professional technologists. The age old mandate to embrace change or die has never been more relevant. Therefore, we feel it is imperative to tackle the cloud discussion head on.

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Let me take a stab at clarifying the cloud discussion. Figure 1 below represents the Big Shift. As noted above, it is undeniable that workloads are shifting from private, customer owned IT architectures, to public, customer rented platforms, i.e. the public cloud. We see three vectors of change in the industry that are defining the cloud revolution.

Cloud Change Vectors

The first vector is the modernization of legacy, customer-owned architectures. The dominant theme here over the past 5-7 years has been the virtualization of the compute layer. The dominant player during this wave of transformation has been VMware. The first wave of virtualization has slowed in the past 4-6 quarters as the compute virtualization market has matured and the vast majority of x86 workloads have been virtualized. There is a new second wave that is just forming and that will be every bit as powerful and important as the first wave. This wave is represented by new, advanced forms of virtualization and the continued abstraction of more complex components of traditional IT infrastructure: networking, storage, and ultimately entire datacenters as we move to a world of software defined datacenter (SDDC) in the coming years.

The second vector of change in the cloud era involves deploying automation, orchestration, and service catalogues to enable private cloud computing environments for internal users and lines of business. Private cloud environments are the industry and corporate IT’s reaction to the public cloud providers’ ability to provide faster, cheaper, better service levels to corporate end users and lines of business. In short, the private cloud change vector is driven by the fact that internal IT now has competition. Their end users and lines of business, development teams in particular, have new service level expectations based on their consumer experiences and their ability to get fast, cheap, commodity compute from the likes of Amazon. To compete, corporate IT staffs must enable self-service functionality for their lines of business and development teams by deploying advanced management tools that provide automation, orchestration, and service catalogue functionality.

The third vector of change in the cloud era involves tying the inevitable blend of private, customer-owned architectures together with the public cloud platforms in use today at most companies. The result is a true hybrid cloud architectural model that can be managed, preserving the still valid command and control mandates of traditional corporate IT,  and balancing those mandates with the end user empowerment and velocity expected in today’s cloud world.

In the context of these three change vectors we see several approaches within our customer base. We see some customers taking a “boil the ocean” approach and striving to rationalize their entire application portfolios to determine best execution venues and define a path to a true hybrid cloud architecture. We see other customers taking a much more cautious approach and leveraging cloud-based point solutions like desktop and disaster recovery as-a-service to solve old business problems in new ways. Both approaches are valid and depend on uses cases, budgets, and philosophical approach (aggressive, leading-edge, versus conservative follow-the-market thinking).

GreenPages business strategy in the context of the ITaaS and cloud revolution is simple. We have built an organization that has the people, process, and technologies to provide expert strategic guidance and proven cloud-era solutions for our clients through a historical inflection point in the way that information technology is delivered to corporate end users and lines of business. Our cloud management as a service offering (CMaaS) provides a technology platform that helps customers integrate the disparate management tools deployed in their environments and federate alerts through an enterprise command center approach that gives a singular view into physical, virtual, and public cloud workloads. CMaaS also provides cloud service brokerage and governance capabilities allowing our customers to view price-performance analytics across private and public cloud environments, design service models and view the related bills of material, and view and consolidate billings across multiple public cloud providers. What are your thoughts on the Big Shift? How is your organization addressing the changes in the IT landscape?

The real story behind enterprise cloud penetration within the verticals

Last year Gartner released numbers that pointed to the growth of cloud computing from 2011 to 2016, specifically, the growth of cloud computing by vertical industry.  According to Gartner, anticipated growth opportunities put these industries at the top when it comes to global IT spending, which includes cloud computing:

$84,074M – Banking & Securities

$70,683M – Communications, Media & Services

$63,589M – Manufacturing & Natural Resources

$34,611M – Insurance

$24,907M – Transportation

Healthcare did not make it to the top 5, but that vertical is at about $15,000M, just behind transportation.  However, healthcare as a whole is expected to jump up significantly in both cloud spending and IT spending.  The changing regulatory pressures will drive this trend, along with the opportunities to reduce costs in healthcare IT.

Although healthcare was once considered an industry that would not adopt cloud computing due to systemic security, legal, and privacy issues, that no longer seems …

Second time around: Falling back in love with CRM

It is a truth universally acknowledged that your first CRM deployment is more likely to fail than succeed – 63% of CRM initiatives fail according to a 2013 survey by Merkle Group Inc. Just like your first love, despite the hopes, excitement and expectation, a mixture of naivety and youthful exuberance means the first foray into CRM is unlikely to stand the test of time.

The reality is that first time around mistakes will be made, and the results may be less satisfying than expected. Be honest: with the first CRM deployment, no business knows exactly what to expect and where it will go in the future.

But that is no reason to turn your back on CRM for life. Those organisations that have been burnt by their first CRM implementation often struggle to pluck up the courage to try again. But learning from the good and bad aspects of that …

NuoDB Announces New Round of Investment

NuoDB announced on Wednesday that it has closed a new round of investment. In addition to existing investors, Dassault Systèmes (Euronext Paris: #13065, DSY.PA), the 3DEXPERIENCE Company, world leader in 3D design software, 3D Digital Mock Up and Product Lifecycle Management (PLM) solutions, has made an investment in the company.
Also participating in the round are NuoDB’s existing investors including Morgenthaler Ventures, Hummer Winblad Venture Partners, and Longworth Venture Partners. This latest round is $14.2 million, bringing the total investment in NuoDB to $26.2 million.

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Service Factory as a Service (SFaaS)

Introducing the concept of the Service Factory as a Service (SFaaS ), a ground breaking advance over conventional solution and service delivery practices which can deliver transformation to and realization of an agile business architecture without major up-front investment.
The service factory concept has been in vogue for some time. As long ago as July 1989 the Harvard Business Review published a seminal article by Chase and Garvin titled The Service Factory[i]. They argued that “The factory of the future is not a place where computers, robots, and flexible machines do the drudge work . . . the next generation, then, will compete by bundling services with products, anticipating and responding to a truly comprehensive range of customer needs.”

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Enterprise Cloud Analytics and Business Intelligence

Enterprise Cloud Analytics and Business Intelligence enables organizations to leverage the Cloud and provide end to end data aggregation and analysis capabilities. The objective is to develop Analytics on the Cloud to support Business Intelligence and Analysis capabilities. Effective strategic and operational business decisions can be made based on the search, analysis, drill down and visualization of data in real-time to get actionable information for making effective business decisions. In addition predictive analysis can be very useful to predict trends and patterns.
In his session at 14th Cloud Expo, Ajay Budhraja, CTO at the Department of Justice, will discuss enterprise cloud analytics and business intelligence management, solutions, best practices, challenges, trends and specific examples. He will go over the development of a road map, architecture and a data-driven strategy for cloud analytics and business intelligence at the enterprise level for public, private and hybrid solutions. He will also cover approaches to making data accessible through analytic capabilities and the governance, methodology, architecture, security, privacy aspects.

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