With the convergence of technology finding its way from the corporate world to our personal devices and home appliances, meeting the expectations of a quality customer experience is a formidable challenge.
Digital Transformation seems to be on everyone's radar but if there is no intentionality from the IT Executive who is sponsoring the program it becomes more of a loose correlation of technology initiatives under an IT strategy banner.
Consider some of the initiatives: Data/Analytics, Mobile Technology, Private Cloud, Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). All have their own unique role to play that is intrinsic to a Digital Transformation program. Although, when you step back and consider how to measure the success for such a program, things can get a little murky.
Digital Transformation requires more than just the latest technology, it's a mindset that iterative change is on the way and should be embraced. This also requires us to factor in the people and process parts of the equation and find ways to measure the end-user-experience (EUE).
One way to do this is to sponsor an Application Performance Monitoring (APM) initiative that can provide visibility to the business, help communicate the progress, and highlight the impacts to the organization.
Meaningful metrics can be difficult to obtain without a specific focus on business impact (transactions) and a concise way to collect them. Consider that a strong APM solution opens the door for better clarity on how each technology initiative affects the EUE, providing key metrics for a Digital Transformation program.
I recommend including all three monitoring factions within an APM strategy, Wire Data Analytics, Synthetic Transactions, and Agent Code Instrumentation.
1. Wire Data Analytics- Discover and decipher application performance data as it traverses the network.
2. Synthetic Transactions- Web robots that execute specific transactions for location-based availability and act as a barometer for measuring application performance.
3. Agent Code Instrumentation- Lightweight agents monitoring the application code as it executes from the Web and App servers. To gain visibility at the edge, script injection is often used for client render time.
Utilizing these overarching delivery mechanisms to provide input into a Machine Learning and/or AI solution has the potential to dramatically improve application delivery and performance across a variety of IT disciplines. This also lays the ground work to support a DevOps culture, providing an amplified feedback loop that is so desperately needed.
Once you develop a strategy on the best way to bring together the 3 monitoring factions, APM becomes "table stakes" on the digital transformation front because you can't improve what you don't measure.
The Latest
Over the last 20 years Digital Employee Experience has become a necessity for companies committed to digital transformation and improving IT experiences. In fact, by 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success ...
While most companies are now deploying cloud-based technologies, the 2024 Secure Cloud Networking Field Report from Aviatrix found that there is a silent struggle to maximize value from those investments. Many of the challenges organizations have faced over the past several years have evolved, but continue today ...
In our latest research, Cisco's The App Attention Index 2023: Beware the Application Generation, 62% of consumers report their expectations for digital experiences are far higher than they were two years ago, and 64% state they are less forgiving of poor digital services than they were just 12 months ago ...
In MEAN TIME TO INSIGHT Episode 5, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the network source of truth ...
A vast majority (89%) of organizations have rapidly expanded their technology in the past few years and three quarters (76%) say it's brought with it increased "chaos" that they have to manage, according to Situation Report 2024: Managing Technology Chaos from Software AG ...
In 2024 the number one challenge facing IT teams is a lack of skilled workers, and many are turning to automation as an answer, according to IT Trends: 2024 Industry Report ...
Organizations are continuing to embrace multicloud environments and cloud-native architectures to enable rapid transformation and deliver secure innovation. However, despite the speed, scale, and agility enabled by these modern cloud ecosystems, organizations are struggling to manage the explosion of data they create, according to The state of observability 2024: Overcoming complexity through AI-driven analytics and automation strategies, a report from Dynatrace ...
Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...
Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...
Choosing the right approach is critical with cloud monitoring in hybrid environments. Otherwise, you may drive up costs with features you don’t need and risk diminishing the visibility of your on-premises IT ...
