Forrester Study Highlights Application Performance Challenges
October 02, 2013
Heidi Gabrielson
Share this

Today's enterprises are powered by their applications, so ensuring those applications are available and performing well has become a key business initiative around the globe. However, this is easier said than done in the face of rapid IT change and innovation. Mobile users and devices, cloud-based infrastructures and applications, big data challenges, and the never-ending march of virtualization are all speed bumps along the road to successful and efficient IT and application delivery.  

In fact, it is so difficult to effectively manage application performance that a commissioned study conducted by Forrester Consulting on behalf of Riverbed found of 159 IT professionals with direct responsibility for business-critical applications, 54 percent of those surveyed are unable to resolve more than 25 percent of their problems in less than 24 hours. And 31 percent have experienced issues that persist for a month or more.

Not unsurprisingly, Forrester found that slow application performance has a strong impact on enterprise efficiency. Business user productivity takes the biggest hit, but IT productivity loss is not far behind. Almost two-thirds (65 percent) of IT operations groups surveyed regularly spend between 10 to 30 percent of their IT operational resources on unplanned or unscheduled tasks due to infrastructure and application issues.

The good news is that IT operation groups are turning to performance management solutions to help them address these issues. An overwhelming 80 percent believe that performance management tools are important or very important in managing application performance.

Unfortunately,it is not that simple. While many organizations have performance management solutions in place, these solutions are often not meeting their complete needs. Companies frequently have too many tools that report on different consoles with no data normalization or time alignment between them, making it impossible to gain a holistic view of the problem, or they lack complete coverage/visibility in their environment.


Forrester noted that organizations are looking for a number of improvements from their performance management solutions, including:

- Enabling better cooperation and collaboration between IT teams

- Providing a single console for data presentation and analysis

- Earlier, more proactive alerting

- Analytics and correlation for advanced root cause determination

- Real-time mapping of application dependencies on infrastructure

To the survey respondents, transaction mapping, the ability to describe all the components used in delivering a specific transaction, is the cornerstone of an integrated application monitoring strategy, but it needs to be complemented with data collected across all components of the application environment.


This is because application problems can happen anywhere — out at the end user device, on the network, inside the infrastructure or in the application code. IT operations and dev teams need a performance management solution that provides visibility across the entire application delivery environment. They need intelligence into the end-user experience, application transactions and code, and network performance to quickly diagnose root cause before the business is impacted.

Merging application performance management and application-aware network performance management capabilities in the same dashboard, and applying a common language of application-related intelligence like transaction analysis, can streamline the interaction between IT operations and development. This type of cooperation and collaboration leads to significantly reduced troubleshooting time, and connects dev teams with their production environments to assist in healthy and efficient application lifecycle management. 

ABOUT Heidi Gabrielson

Heidi Gabrielson is a Senior Product Marketing Manager for the Riverbed Performance Management business unit.

Related Links:

www.riverbed.com

Share this

The Latest

October 04, 2024

In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.

October 03, 2024

CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...

October 02, 2024

We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...

October 01, 2024

40% of generative AI (GenAI) solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023, according to Gartner ...

September 30, 2024

Today's digital business landscape evolves rapidly ... Among the areas primed for innovation, the long-standing ticket-based IT support model stands out as particularly outdated. Emerging as a game-changer, the concept of the "ticketless enterprise" promises to shift IT management from a reactive stance to a proactive approach ...

September 27, 2024

In MEAN TIME TO INSIGHT Episode 10, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Generative AI ...

September 26, 2024

By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner ...

September 25, 2024

A recent report by Enterprise Management Associates (EMA) reveals that nearly 95% of organizations use a combination of do-it-yourself (DIY) and vendor solutions for network automation, yet only 28% believe they have successfully implemented their automation strategy. Why is this mixed approach so popular if many engineers feel that their overall program is not successful? ...

September 24, 2024

As AI improves and strengthens various product innovations and technology functions, it's also influencing and infiltrating the observability space ... Observability helps translate technical stability into customer satisfaction and business success and AI amplifies this by driving continuous improvement at scale ...

September 23, 2024

Technical debt is a pressing issue for many organizations, stifling innovation and leading to costly inefficiencies ... Despite these challenges, 90% of IT leaders are planning to boost their spending on emerging technologies like AI in 2025 ... As budget season approaches, it's important for IT leaders to address technical debt to ensure that their 2025 budgets are allocated effectively and support successful technology adoption ...