2013 will be another year of accelerated change in the Application Performance Management (APM) market, driven by two main forces.
First is the growing realization among C-level executives that highly performing applications have a direct impact on sales, productivity and customer satisfaction.
Second is the availability of a new generation of APM solutions which address the needs of modern-day application delivery processes and environments.
With this macro-context in mind, here are five key predictions for APM in 2013:
1. Increased Visibility Required Across the Application Delivery Chain
Today’s applications involve an increasingly complex set of services, delivered from within as well as beyond the four walls of your data center. These services include multi-tier application architectures, virtualized systems and an expanding mix of cloud and third-party services. The modern day data center is, essentially, without boundaries.
This means that optimizing the user experience, which is the only perspective that really counts for business-critical applications, will require broad and deep visibility across the delivery chain. Next year, the accelerating complexity at the edge of the internet, in the cloud and in the data center, will make managing your applications from the true end-user perspective all the more critical.
2. APM for Mobile Applications Will Industrialize
After years of hearing of the arrival of mobile commerce, the promise has been fulfilled this year, driven by tablet adoption. For both Thanksgiving Day and Black Friday, Compuware measured more than a 250 percent increase in the number of iPad page views when compared to 2011. Businesses realize that the revenue-generating potential of their customer-facing applications hinges on the ability to ensure strong performance across a widening range of mobile browsers and devices.
In addition, the Bring-Your-Own-Device (BYOD) movement places a premium on exceptional performance across diverse devices for internal productivity-enhancing applications.
In 2013, APM for mobile applications, both native and web, will mature from special project status to a core pillar of an APM practice.
3. Focus Shifts from Data Collection to Actionable, Automated Analytics
As monitoring becomes more pervasive and the amount of data increases, additional emphasis is being put on analysis. Businesses are seeing that it’s not enough to just collect more and more data regarding the performance of individual silos, and that an APM strategy needs to include performance analytics from the start. This includes the ability to automatically establish smart baselines, incorporate real-time and self-learning statistical analytics, and identify performance and availability anomalies without human intervention.
All stakeholders, including business owners, development, test and production teams, need rapid access to actionable information in order to find, fix and optimize performance to ensure applications meet business goals. As such, the demand for automated analytics, or “answer-focused APM,” will be on the rise in 2013.
4. DevOps and Agile Mandate a Lifecycle Approach to APM
Poorly performing applications in production can spell disaster for revenues and customer satisfaction. Buying a better “mouse trap” to capture problems once they reach production isn’t the way to go.
In 2013, we expect to see growing demand for a strong performance discipline that applies to the entire application lifecycle – from development, to testing, to production. We expect that the “DevOps” movement – which entails bringing together developers and operations teams early on, to prevent problems from reaching production in the first place – will continue to gain traction. The end-result will be improved time-to-market for production applications without sacrificing confidence in performance.
5. Big Data Initiatives Employ APM to Realize ROI
Big data has big potential, providing executives with a means to not just make better strategic decisions, but to also improve the critical, day-to-day decisions made at the front lines of business. Big data leverages a wealth of information in traditional databases as well as from the fast-growing new sources of digital data, including the web, biological and industrial sensors, video, e-mail and social network communications.
But extracting timely business insights depends in large part on the availability and speed of the big data environment. The reality is that Big Data applications and environments suffer from many of the performance challenges that plague current distributed applications, while adding new bottlenecks related to highly distributed processing of vast volumes of data, putting ROI from big data projects at risk. Poorly performing big data applications and environments can impact the business and revenues when customers complain or business analytics are delayed or unavailable. Increasingly, we believe APM will be used to help ensure the performance and availability of big data applications to meet business demands and satisfy users.
In summary, we believe in 2013, a new generation of APM will continue to gain traction. This approach will address the challenges of increased complexity along the complete application delivery path – from the data center, through the cloud, to end-user devices. It will provide the key insights needed to fix performance problems expeditiously, while helping businesses speed time-to-market for high-performing, production-ready applications. And, this new generation of APM will increasingly serve as a cornerstone for major IT initiatives like Big Data.
All in all, APM will continue its transformation from an IT toolkit to a C-suite imperative, underscoring customer satisfaction, employee productivity, revenues and profits.
Steve Tack is VP of Product Management, Compuware APM.
I've had the opportunity to work with a number of organizations embarking on their AIOps journey. I always advise them to start by evaluating their needs and the possibilities AIOps can bring to them through five different levels of AIOps maturity. This is a strategic approach that allows enterprises to achieve complete automation for long-term success ...
Sumo Logic recently commissioned an independent market research study to understand the industry momentum behind continuous intelligence — and the necessity for digital organizations to embrace a cloud-native, real-time continuous intelligence platform to support the speed and agility of business for faster decision-making, optimizing security, driving new innovation and delivering world-class customer experiences. Some of the key findings include ...
When it comes to viruses, it's typically those of the computer/digital variety that IT is concerned about. But with the ongoing pandemic, IT operations teams are on the hook to maintain business functions in the midst of rapid and massive change. One of the biggest challenges for businesses is the shift to remote work at scale. Ensuring that they can continue to provide products and services — and satisfy their customers — against this backdrop is challenging for many ...
Teams tasked with developing and delivering software are under pressure to balance the business imperative for speed with high customer expectations for quality. In the course of trying to achieve this balance, engineering organizations rely on a variety of tools, techniques and processes. The 2020 State of Software Quality report provides a snapshot of the key challenges organizations encounter when it comes to delivering quality software at speed, as well as how they are approaching these hurdles. This blog introduces its key findings ...
For IT teams, run-the-business, commodity areas such as employee help desks, device support and communication platforms are regularly placed in the crosshairs for cost takeout, but these areas are also highly visible to employees. Organizations can improve employee satisfaction and business performance by building unified functions that are measured by employee experience rather than price. This approach will ultimately fund transformation, as well as increase productivity and innovation ...
In the agile DevOps framework, there is a vital piece missing; something that previous approaches to application development did well, but has since fallen by the wayside. That is, the post-delivery portion of the toolchain. Without continuous cloud optimization, the CI/CD toolchain still produces massive inefficiencies and overspend ...
The COVID-19 pandemic has exponentially accelerated digital transformation projects. To better understand where IT professionals are turning for help, we analyzed the online behaviors of IT decision-makers. Our research found an increase in demand for resources related to APM, microservices and dependence on cloud services ...
The rush to the public cloud has now slowed as organizations realized that it is not a "one size fits all" solution. The main issue is the lack of deep visibility into the performance of applications provided by the host. Our own research has recently revealed that 32% of public cloud resources are currently under-utilized, and without proper direction and guidance, this will remain the case ...
The global shift to working from home (WFH) enforced by COVID-19 stay-at-home orders has had a massive impact on everyone's working lives, not just in the way they remotely interact with their teams and IT systems, but also in how they spend their working days. With both governments and businesses committed to slowly opening up offices, it's increasingly clear that a high prevalence of remote work will continue throughout 2020 and beyond. This situation begets important questions ...