Introducing the Performance Analytics and Decision Support (PADS) Framework - Part One
April 08, 2014

Gabriel Lowy
TechTonics

Share this

A new Performance Analytics and Decision Support (PADS) framework linking advanced performance management and big data analytics technologies will emerge in 2014. The PADS framework enables organizations to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex IT systems across the entire application delivery chain.

PADS establishes best practices for assuring user experience, reducing risk and improving operational decision making in a more efficient, secure and timely fashion. A more holistic approach that breaks down data silos across different IT teams and departments is the path to assuring service delivery, gaining deeper systems and customer insights, and improving operational efficiency.

The Big Data Challenge

As IT groups acquired discrete tools that focused on a particular hardware, network or software issue, many organizations have ended up with a patchwork quilt of point solutions that do not work well together. And while each tool might be indicating that performance of a particular segment or component is “normal”, outages persist and the actual user experience continues to disappoint.

New distributed computing architectures and approaches to agile application development have made computing far more scalable and dynamic than ever before. But cloud, mobile and social megatrends have also resulted in unprecedented levels of complexity. As a result, more components of the application delivery chain are obscured from IT and line of business owners.

Despite the wealth of data and content available today, most business users continue to struggle to access information they need to gain deeper insights into the business for better and faster decision making. Traditional performance monitoring solutions for application, network, infrastructure and business transactions have become overwhelmed by the scale of data required to comprehensively manage application performance.

The proliferation of server virtualization and the tools needed to monitor and manage virtualized dynamic infrastructures and highly distributed application architectures only expand the data points and metrics that need to be analyzed.

Consequently, vital information is often overlooked, resulting in missed opportunities to uncover hidden patterns, relationships and dependencies. Additionally, whatever data is gathered is not normalized or time synchronized, making analysis and rapid problem resolution impossible. Yet pouring more data into obsolete analytics tools only compounds the problem.

Making Performance a Priority

Performance visibility and greater operational intelligence should be paramount to all organizations amid rising systems complexity and unabated data growth. Numerous surveys have shown high availability of applications as the top priority of business users, customers and CIOs. But the more business processes come to depend on multiple applications and the underlying infrastructure, the more susceptible they are to performance degradation.

The common components of ROI – reduced operating costs, enhanced business productivity, and incremental revenue generation – are closely associated with application performance. Service outages can be quite costly. Depending on the industry sector, slow responsiveness or complete outage (brownouts or downtime) of a company's most business critical application can cost between $100,000 and $1 million per hour. The fallout from poor transaction performance can be a loss of customers, regulatory fines and damage to firm reputation.

Nothing shines a light on an IT team's success or failure as application performance and availability. With uptime as their priority, they need to adapt a more holistic approach to performance management and decision analytics. Through best practices, they can help their companies leverage IT investments to discover, interpret and respond to the myriad events that impact their operations, security, compliance and competitiveness.

A New Generation of Performance Analytics Techniques

More enterprises have recognized the need for a new generation of performance analytics techniques that go beyond the scope of traditional monitoring tools, which were designed for smaller and more static environments.

These new performance analytics techniques must help the enterprise in three ways:

First, enterprises need to understand what levels of performance (i.e. speed and availability) are needed from their increasingly cloud-based and mobile applications in order to deliver fast, reliable and highly satisfying end-user experiences. To better understand the properties of the components and their place in the overall application delivery chain requires a higher-level assessment of the relationships to each other as well as to the wider system and environment. A comprehensive performance analytics platform provides visibility across the entire application delivery chain – from behind the firewall and out to the Web, including third-party cloud providers.

Second, the “point of delivery”, which is where the user accesses a composite application, is the only perspective from which user experience should be addressed. As such, the most relevant metric for any IT organization is not about infrastructure utilization. Instead, it is at what point of utilization the user experience begins to degrade. Enterprises need to measure the true experiences of their most important end-user segments, including those that are remote and mobile.

Third, to provide insights that line of business users can understand and value, IT must establish an effective link between performance management and analytics.

The PADS Framework, for Performance Analytics and Decision Support, represents a more holistic approach to adaptive, proactive and predictive operational data management and analysis. The framework links advanced performance management and big data analytics technologies to enable organizations to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex virtualized and mobile systems across the entire application delivery chain.

Find out more about PADS: Introducing the Performance Analytics and Decision Support (PADS) Framework- Part Two

Gabriel Lowy is the founder of TechTonics Advisors, a research-first investor relations consultancy that helps technology companies maximize value for all stakeholders by bridging vision, strategy, product portfolio and markets with analysts and investors
Share this

The Latest

October 16, 2017
Hurricane season is in full swing. With the latest incoming cases of mega-storms devastating the Southeastern shoreline, communities are struggling to restore daily normalcy. People have been stepping up and showing remarkable strength and leadership in helping those affected. However, there is another area that we need to remember in these trying times – and that is businesses continuity ...
October 12, 2017

Gartner highlighted the top strategic technology trends that will impact most organizations in 2018. The next trends focus on blending the digital and physical worlds to create an immersive, digitally enhanced environment. The last three refer to exploiting connections between an expanding set of people and businesses, as well as devices, content and services to deliver digital business outcomes ...

October 11, 2017

Gartner highlighted the top strategic technology trends that will impact most organizations in 2018. The first three strategic technology trends explore how artificial intelligence (AI) and machine learning are seeping into virtually everything and represent a major battleground for technology providers over the next five years ...

October 10, 2017
This is the sixth in my series of blogs inspired by EMA's AIA buyer's guide — directed at helping IT invest in Advanced IT Analytics (AIA), what the industry more commonly calls "Operational Analytics." In this blog, I examine scenario-related shopping cart objectives for AIA. At EMA, we evaluated seven unique scenarios relevant to AIA adoptions. Our scenarios included agile/DevOps, Integrated security, change impact awareness, capacity optimization, business impact, business alignment and unifying IT ...
October 06, 2017

In the Riverbed Future of Networking Global Survey, more than half of the respondents acknowledged that achieving operational agility is critical to the success of a modern enterprise, and next-generation networks as well as the technology to support them are key to reaching this goal ...

October 05, 2017

Legacy infrastructures are holding back their cloud and digital strategies, according to the Riverbed Future of Networking Global Survey 2017. Nearly all survey respondents agree that legacy network infrastructure will have difficulty keeping pace with the changing demands of the cloud and hybrid networks ...

October 04, 2017

Digital disruptors are emerging in all industries, and the need for CIOs to embrace digital transformation is urgent, according to Gartner ...

October 02, 2017

Environments indicate "where" the AIA solutions we investigated can be applied. All 13 of the solutions we investigated support cloud for performance, core infrastructure, and application performance and availability. Mainframe had the support of six of our respondents, and IoT and cloud for change and capacity were not yet prime areas of focus for most of the vendors in our AIA buyer's guide ...

September 29, 2017

Cost, overhead, and time to value are often key challenges in adopting AIA solutions. In the past, these factors have often been especially onerous. But we saw strong levels of improvement among many vendors, and surprising areas of innovation among others ...

September 28, 2017
Most senior executives recognize that unified communications and collaboration (UC) are integral applications on the digital transformation path. As a result, many companies are in the process of replacing legacy voice and video infrastructure and disparate messaging and collaboration tools with next-generation UC systems, including cloud-based unified communication as a service (UCaaS). With UC, companies can accelerate time-to-revenue, improve productivity and reduce capex and opex – the three pillars of return on investment (ROI) that drive corporate strategy ...