Gartner: Major Organizations Need to Grow Performance Management Skills
May 09, 2014
Share this

Agile infrastructures demand that infrastructure and operations (I&O) managers acquire the performance management skills present only in Web-scale IT, according to Gartner, Inc.

While major organizations will need to maintain and sustain their conventional capacity-planning skills and tools, they will also need to regularly re-evaluate the tools available, and make a special effort to acquire and grow the capacity and performance management skills that are rarely evident outside the Web-scale IT community.

"By 2016, the availability of capacity and performance management skills for horizontally scaled architectures will be a major constraint or risk to growth for 80 percent of major businesses," says Ian Head, research director at Gartner. "To take advantage of Web-scale IT approaches to capacity and performance management, IT architects need to fully embrace stateless application architectures and horizontally scaling infrastructure architectures."

Adding additional central processing units (CPUs), memory and storage to a monolithic server has been the traditional, vertical way of scaling up applications while capacity planning has traditionally been developed with the goal of forecasting the requirements for this vertical scaling approach. However, vertical architectures and approaches have limited scalability, making vertical architectures unsuitable for hyperscaling. For service capacity to expand seamlessly to extremely large scales, different approaches are required.

"Organizations managing such services need the ability to rapidly assign and de-assign resources to each service, as well as the ability to scale linearly and continuously as more resources are added or removed," says Head. "They also need high levels of resiliency that will allow sections of the infrastructure to fail without bringing the services down. Designing the underlying infrastructure for horizontal scalability, high degrees of fault-tolerance and rapid, incremental change is a key prerequisite for effective Web-scale operations."

To achieve the overall goal of an infrastructure in which services can consume capacity on an as-needed basis, the overall Web-scale IT capacity planning function may be divided among two teams. The application or product team develops the applications, monitors the consumption of their services in various locations and user subsets, and requests and allocates infrastructure resources based on policy-driven utilization triggers. The infrastructure team ensures that the overall shared physical limits do not constrain the performance of the individual services being continuously developed by the product teams.

Services constructed in this way are better equipped to scale geographically, and share multiple data centers with limited impact on user performance. Although extending service availability to new locations will carry additional burdens and requirements, horizontally scaling application and infrastructure architectures will generally be better equipped to scale geographically, because additional capacity may be used by the different applications, as required and as load patterns shift.

Demand Shaping

Where there are potentially large-scale, limited forecasts or demand history, IT leaders need to develop demand-shaping techniques to provide acceptable performance. Demand shaping enables finite infrastructure resources to maintain their vital always-on character with acceptable, if not consistent, performance experiences across the entire user base. Gartner predicts that through 2017, 25 percent of enterprises will use demand shaping for capacity planning and management, a significant increase from less than one percent in 2014.

When deploying large-scale services, infrastructure and operations leaders need to become proficient in operational analytics tools and big data capabilities, rather than traditional capacity planning tools.

"Traditional capacity-planning tools enable I&O organizations to gather data from various sources, including monitoring tools and, possibly, business demand forecasts, then produce trending, utilization and investment forecast information, taking into account several different scenarios," says Head. "The different architectures and the huge scale of the Web-scale IT organizations make traditional, highly focused tools of limited utility. Demand shaping requires more and different functionality than current off-the-shelf tools provide."

Although different Web-scale organizations grow and adapt their techniques to their specific requirements, a common theme is the extensive use of large volumes of operational data. Even though the infrastructures are large, the horizontal design enables clear visualization and understanding of constraints and dependencies, such that these may be managed as the environment, loads and demands change.

In general, in-memory computing and deep analytics tools are used to extract the required information from a combination of the infrastructure monitoring tools and the instrumentation built into the applications. The resulting analytical information is used to facilitate proactive, real-time and near-real-time actions to allocate resources and manage potential bottlenecks. Similar functionality is also used to model the impact of moving workloads and to simulate the effects of potential infrastructure and application changes.

The outcome is that Web-scale enterprises have developed a set of tools, practices and capabilities that enable real-time demand shaping. These operational skills and tools are unique to each Web-scale organization and so are not yet available in most end-user enterprises.

"Much of the art of achieving always-on, scalable, rapidly changing, high-performance services is a consequence of the advanced use of homegrown and customized analytics and tools by the application and infrastructure teams," Head concludes. "These are used to shape demand in real time and to produce forward-looking capacity and investment plans to an acceptable degree of accuracy."

Related Links:

Gartner analysts will take a deeper look at the outlook for IT operations trends at the Gartner IT Infrastructure & Operations Management Summit taking place June 2-3 in Berlin and June 9-11 in Orlando FL.

Share this

The Latest

December 18, 2024

Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...

December 17, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers cloud, the edge and IT outages ...

December 16, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...

December 12, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...

December 11, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...

December 10, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...

December 09, 2024

The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...

December 05, 2024
Generative AI represents more than just a technological advancement; it's a transformative shift in how businesses operate. Companies are beginning to tap into its ability to enhance processes, innovate products and improve customer experiences. According to a new IDC InfoBrief sponsored by Endava, 60% of CEOs globally highlight deploying AI, including generative AI, as their top modernization priority to support digital business ambitions over the next two years ...
December 04, 2024

Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...

December 03, 2024

We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...