Performance Analytics is Key to PADS Framework
PADS (Performance Analytics and Decision Support) Framework Components
June 22, 2015

Gabriel Lowy
TechTonics

Share this

This post is an excerpt of the new Tech-Tonics Advisors report: The PADS Framework for Application Performance and User Experience.

The "point of delivery", which is where users access composite apps, is the only perspective from which user experience should be evaluated. Thus, the most relevant metric for IT teams is not about infrastructure utilization. Instead, it is at what point of utilization the user experience begins to degrade. This means transaction completion. If transactions do not complete, user experience suffers as does business performance.

The PADS (Performance Analytics and Decision Support) Framework is composed of holistically connected next-generation Application Performance Management (APM) and operational intelligence platforms.

Performance Analytics

The performance analytics (PA) platform incorporates network, infrastructure, application and transaction monitoring, which feeds an advanced correlation and analytics engine. A single unified view of all components that support a service facilitates the management of service delivery and problem resolution.

More advanced platforms already perform real-time monitoring. Leading players have evolved their platforms to perform real-time deep-dive packet inspection that can be correlated for root cause diagnostics and trouble-shooting. They can trace transactions from the user’s perspective, creating metadata tags that add business context for when application performance issues arise.

Correlation and analytics engines must include key performance indicators (KPIs) as guideposts to align with key business processes.  A holistic approach lets the level of granularity be adjusted to the person viewing the application performance. For example, a business user’s requirements will differ from an operations manager, which in turn will be different from a network engineer.

Next-generation solutions are all capable of collecting vast amounts of transaction data against which they can run analytics for a variety of use cases, most of which are user experience related. The interactive and measurable nature of Web activity also enables businesses to determine how users – both internal and external – experience their applications, including the time it takes for Web pages to load and transactions to be processed.

Expect these platforms to evolve further toward operational intelligence by expanding the types of data sources they can collect and correlate. They will also drive deeper into analytics, including predictive capabilities, to allow IT – and eventually, line of business users – to monitor user experience more granularly.

Operational Intelligence

Within the PADS Framework, users can then feed this information about the application delivery chain and user experience upstream into an operational intelligence (OI) platform. The OI platform can then integrate this data with other types of information to improve decision making throughout the organization.

An OI platform collects, indexes, correlates and analyzes log and other forms of machine data at massive scale to help IT and business users gain real-time insights from disparate data types and sources.

Complicating the issue of just doing big data analytics on the systems a company has on premises is the fact that more and more applications are running out on the cloud. And growing numbers of users are accessing both internal and cloud-based apps remotely from mobile devices. The platform makes heavy use of timestamps and keywords and then applies special algorithms to correlate data into events.

Big data sets are beyond the scope of conventional relational database management systems utilizing SQL query language. As such, an OI platform complements traditional business intelligence and data warehousing through its ability to incorporate newer forms of unstructured data.

To achieve scale, the platform leverages massively parallel processing and big data analytics capabilities. With distributed search databases, role-based access control, and the ability to rifle through terabytes of log data daily, the OI platform can accommodate the data generation systems of large enterprises.

Analytics Unifies the Platforms

These holistically linked platforms correlate billions of transaction metrics and identify patterns that provide early warning signs of impending trouble. Analytics can help reduce time being spent on correlating information collected by different tools that monitor infrastructure, network, applications and transactions, including real user and synthetic transactions. This should also include tools that are being deployed independent of IT.

The performance analytics platform includes real-time analysis of application and service performance across both physical and virtual environments by dynamically tracking, capturing and analyzing complex service delivery transactions across multi-domain IP networks.

Deep-dive analytics allows IT organizations to be more proactive by pinpointing the root cause of problems before users call the help desk and before a visitor departs a website. Correlation and analytics engines must include key performance indicators (KPIs) as guideposts to align with critical business processes.

To provide insights that business users can understand and value, IT must establish an effective link between performance management and analytics. The level of granularity can be adjusted to the person viewing the performance of the service or the network. For example, a line of business user’s requirements will differ from an operations manager, which in turn will be different from a network engineer.

The key to success for the PADS Framework is providing correlation and analytics engines that feed into customizable dashboards. The ability to quickly visualize and interpret a problem or opportunity that results in actionable decisions is how to derive the most value from the platforms that comprise the Framework. In addition to assuring application availability and user experience, the PADS Framework provides pre-emptive warnings of systems failure.

For today’s loosely-couple application architectures, the PADS Framework provides enterprises with a strategic approach to ensuring application performance and user experience. Studies have shown that across different industry sectors, companies taking a unified approach outperform their peer groups in achieving ROI and risk management objectives.

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 20, 2021

Over three quarters (79%) of database professionals are now using either a paid-for or in-house monitoring tool, according to a new survey from Redgate Software ...

October 19, 2021

Gartner announced the top strategic technology trends that organizations need to explore in 2022. With CEOs and Boards striving to find growth through direct digital connections with customers, CIOs' priorities must reflect the same business imperatives, which run through each of Gartner's top strategic tech trends for 2022 ...

October 18, 2021

Distributed tracing has been growing in popularity as a primary tool for investigating performance issues in microservices systems. Our recent DevOps Pulse survey shows a 38% increase year-over-year in organizations' tracing use. Furthermore, 64% of those respondents who are not yet using tracing indicated plans to adopt it in the next two years ...

October 14, 2021

Businesses are embracing artificial intelligence (AI) technologies to improve network performance and security, according to a new State of AIOps Study, conducted by ZK Research and Masergy ...

October 13, 2021

What may have appeared to be a stopgap solution in the spring of 2020 is now clearly our new workplace reality: It's impossible to walk back so many of the developments in workflow we've seen since then. The question is no longer when we'll all get back to the office, but how the companies that are lagging in their technological ability to facilitate remote work can catch up ...

October 12, 2021

The pandemic accelerated organizations' journey to the cloud to enable agile, on-demand, flexible access to resources, helping them align with a digital business's dynamic needs. We heard from many of our customers at the start of lockdown last year, saying they had to shift to a remote work environment, seemingly overnight, and this effort was heavily cloud-reliant. However, blindly forging ahead can backfire ...

October 07, 2021

SmartBear recently released the results of its 2021 State of Software Quality | Testing survey. I doubt you'll be surprised to hear that a "lack of time" was reported as the number one challenge to doing more testing, especially as release frequencies continue to increase. However, it was disheartening to see that a lack of time was also the number one response when we asked people to identify the biggest blocker to professional development ...

October 06, 2021

The role of the CIO is evolving with an increased focus on unlocking customer connections through service innovation, according to the 2021 Global CIO Survey. The study reveals the shift in the role of the CIO with the majority of CIO respondents stating innovation, operational efficiency, and customer experience as their top priorities ...

October 05, 2021

The perception of IT support has dramatically improved thanks to the successful response of service desks to the pandemic, lockdowns and working from home, according to new research from the Service Desk Institute (SDI), sponsored by Sunrise Software ...

October 04, 2021

Is your company trying to use artificial intelligence (AI) for business purposes like sales and marketing, finance or customer experience? If not, why not? If so, has it struggled to start AI projects and get them to work effectively? ...