Top 10 Articles and Blogs on APMdigest - 2013

Interested in what everyone else is reading? The following is a list of the top articles and blogs - in terms of views - on APMdigest for 2013.

Congratulations and thanks to all the authors who made the list, and a special thanks goes out to all the industry experts who contribute quotes for our lists such as 14 APM Predictions for 2014, which took three of the top 20 places in 2013.

1. APM Predictions 2013 and 2014

In APMdigest's highly popular and well-respected annual list of APM predictions, industry experts - from analysts and consultants to users and the top vendors - offer thoughtful, insightful, and sometimes controversial predictions on how Application Performance Management (APM) will evolve and impact business ...

The actual number one article is the 2013 predictions list, with almost 50,000 hits, but the 2014 list is included here as well because it has had such a strong showing, just posted on Dec 17 but already with almost enough views to get on the top 20 list.

13 APM Predictions for 2013

14 APM Predictions for 2014

2. Gartner Top 10 Strategic Technology Trends for 2013: Big Data, Cloud, Analytics and Mobile

Gartner highlighted the top 10 technologies and trends that will be strategic for most organizations in 2013, presented during Gartner Symposium/ITxpo ...

Gartner Top 10 Strategic Technology Trends for 2013

3. Closing DevOps Gaps with New Analytics-Based Tools

Author: Sasha Gilenson, CEO, Evolven Software

DevOps emerged as a philosophy for bridging the gap between operations and development silos, where each focused on different priorities, using different processes and tools. This article will focus on some key challenges existing in the DevOps approach — challenges that leave operations to wade through overwhelming amounts of operational data — and how new analytics-based tools stand to provide insight into meaningful information, ultimately closing this gap, and putting development and operations into better synch ...

Closing DevOps Gaps with New Analytics-Based Tools

4. Holistic Unified User Experience Assurance

Author: Gabriel Lowy, Technology Analyst, Tech-Tonics

With the proliferation of composite applications for cloud and mobility, monitoring individual components of the application delivery chain is no longer an effective way to assure user experience. IT organizations must evolve toward a holistic, more collaborative methodology based on a service-delivery principle that is more aligned with corporate strategy ...

Holistic Unified User Experience Assurance

5. Q&A Part Two: TRAC Research Talks About the APM Spectrum

Bojan Simic, President and Principal Analyst at TRAC Research, talks about the firm's new APM Spectrum report, APM analytics, virtualization, and different types of APM for different job roles ...

Q&A Part Two: TRAC Research Talks About the APM Spectrum

6. Service Assurance Key to Realizing the Benefits of Cloud and Big Data

Author: Jason Meserve, Sr. Product Marketing Manager, CA Technologies.

Innovative business models and services such as cloud and big data analytics aren’t possible without a strategic Service Assurance portfolio underpinned by infrastructure management, according to a commissioned study conducted by Forrester Consulting on behalf of CA Technologies ...

Service Assurance Key to Realizing the Benefits of Cloud and Big Data

7. Virtualization and Mobile Present Greatest Datacenter Monitoring Challenges, Says Interop Survey

One-third of respondents identified server virtualization as the top monitoring challenge within their datacenter, closely followed by managing mobile devices, according to a survey released by Network Instruments at Interop Las Vegas 2013 ...

Virtualization and Mobile Present Greatest Datacenter Monitoring Challenges

8. 5 Things You Need to Know to Assure Optimal Performance in the Cloud

Author: Jim Melvin, CEO, AppNeta

Without the capability to manage the performance lifecycle between the Cloud – whether public, private or hybrid – and the consumers of business critical applications and services, it is not possible to understand (let alone guarantee) necessary application service levels from the user’s perspective. This presents many challenges ...

5 Things You Need to Know to Assure Optimal Performance in the Cloud

9. 10 Bottom-Line Business Benefits of APM

This is quite possibly the most important list we have posted on APMdigest. The bottom-line business benefits are what APM is really all about, or should be all about, although the market can forget this at times. But the reality is that no company should be deploying Application Performance Management unless they are using it to drive bottom-line business benefits such as those on this list. The benefits on this list are the payoff, the end result, the ultimate reason for APM ...

10 Bottom-Line Business Benefits of APM

10. Gartner Q&A Part One: Analytics vs. APM

Will Cappelli, Gartner Research VP in Enterprise Management, talks about his latest report: Will IT Operations Analytics Platforms Replace APM Suites?

Gartner Q&A Part One: Analytics vs. APM

The following round out the Top 20:

11. Don't Let Perishable Apps Go Bad
Author: Dave Berg, VP of Product Strategy, Shunra Software

12. Q&A Part Two: Ovum Talks About APM
Interviewee: Michael Azoff, Principal Analyst, Ovum

13. Why Cloud Consumers Need “Objective” Application Performance Management
Author: Jim Young, Information Development Manager, IBM Cloud and Smarter Infrastructure

14. 15 Top Factors that Impact Application Performance

15. The Butterfly Effect Within IT
Author: Larry Dragich, Founder of the APM Strategies Group on LinkedIn

16. Finding Your Organization’s Blind Spots
Author: Steve Tack, VP of Product Management, Compuware's Application Performance Management (APM) Business Unit

17. Why You Need to Integrate IT Operations and IT Service Management
Author: Suvish Viswanathan, Senior Analyst, Unified IT, ManageEngine

18. IT Analytics Emerging as Dissatisfaction Grows with APM and BSM Tools
Author: Sasha Gilenson, CEO, Evolven Software

19. Gartner's 5 Dimensions of APM
Author: Pete Goldin, APMdigest

20. Q&A: EMA Talks About ITIL and Cloud
Interviewees: VP Dennis Drogseth and Director Torsten Volk, Enterprise Management Associates (EMA)

The Latest

The SRE Report 2026: Reliability Is Being Redefined

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

The Hidden Data Engineering Work Required to Make Enterprise AI Viable

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

Why AI Is the Differentiator for Operationally Resilient Organizations

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

Escaping Pilot Purgatory: How AI Becomes an Operational Advantage

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Closing the Gap in Modern Tech and the Tools Meant to Monitor Them

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

MEAN TIME TO INSIGHT Podcast - Episode 23: NetOps Labor Shortage

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Clearing the Path to AI: Why Vendor Consolidation Matters Now

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Cold Data, Hot Problem: Why AI Is Rewriting Enterprise Storage Strategy

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

Top 10 Articles and Blogs on APMdigest - 2013

Interested in what everyone else is reading? The following is a list of the top articles and blogs - in terms of views - on APMdigest for 2013.

Congratulations and thanks to all the authors who made the list, and a special thanks goes out to all the industry experts who contribute quotes for our lists such as 14 APM Predictions for 2014, which took three of the top 20 places in 2013.

1. APM Predictions 2013 and 2014

In APMdigest's highly popular and well-respected annual list of APM predictions, industry experts - from analysts and consultants to users and the top vendors - offer thoughtful, insightful, and sometimes controversial predictions on how Application Performance Management (APM) will evolve and impact business ...

The actual number one article is the 2013 predictions list, with almost 50,000 hits, but the 2014 list is included here as well because it has had such a strong showing, just posted on Dec 17 but already with almost enough views to get on the top 20 list.

13 APM Predictions for 2013

14 APM Predictions for 2014

2. Gartner Top 10 Strategic Technology Trends for 2013: Big Data, Cloud, Analytics and Mobile

Gartner highlighted the top 10 technologies and trends that will be strategic for most organizations in 2013, presented during Gartner Symposium/ITxpo ...

Gartner Top 10 Strategic Technology Trends for 2013

3. Closing DevOps Gaps with New Analytics-Based Tools

Author: Sasha Gilenson, CEO, Evolven Software

DevOps emerged as a philosophy for bridging the gap between operations and development silos, where each focused on different priorities, using different processes and tools. This article will focus on some key challenges existing in the DevOps approach — challenges that leave operations to wade through overwhelming amounts of operational data — and how new analytics-based tools stand to provide insight into meaningful information, ultimately closing this gap, and putting development and operations into better synch ...

Closing DevOps Gaps with New Analytics-Based Tools

4. Holistic Unified User Experience Assurance

Author: Gabriel Lowy, Technology Analyst, Tech-Tonics

With the proliferation of composite applications for cloud and mobility, monitoring individual components of the application delivery chain is no longer an effective way to assure user experience. IT organizations must evolve toward a holistic, more collaborative methodology based on a service-delivery principle that is more aligned with corporate strategy ...

Holistic Unified User Experience Assurance

5. Q&A Part Two: TRAC Research Talks About the APM Spectrum

Bojan Simic, President and Principal Analyst at TRAC Research, talks about the firm's new APM Spectrum report, APM analytics, virtualization, and different types of APM for different job roles ...

Q&A Part Two: TRAC Research Talks About the APM Spectrum

6. Service Assurance Key to Realizing the Benefits of Cloud and Big Data

Author: Jason Meserve, Sr. Product Marketing Manager, CA Technologies.

Innovative business models and services such as cloud and big data analytics aren’t possible without a strategic Service Assurance portfolio underpinned by infrastructure management, according to a commissioned study conducted by Forrester Consulting on behalf of CA Technologies ...

Service Assurance Key to Realizing the Benefits of Cloud and Big Data

7. Virtualization and Mobile Present Greatest Datacenter Monitoring Challenges, Says Interop Survey

One-third of respondents identified server virtualization as the top monitoring challenge within their datacenter, closely followed by managing mobile devices, according to a survey released by Network Instruments at Interop Las Vegas 2013 ...

Virtualization and Mobile Present Greatest Datacenter Monitoring Challenges

8. 5 Things You Need to Know to Assure Optimal Performance in the Cloud

Author: Jim Melvin, CEO, AppNeta

Without the capability to manage the performance lifecycle between the Cloud – whether public, private or hybrid – and the consumers of business critical applications and services, it is not possible to understand (let alone guarantee) necessary application service levels from the user’s perspective. This presents many challenges ...

5 Things You Need to Know to Assure Optimal Performance in the Cloud

9. 10 Bottom-Line Business Benefits of APM

This is quite possibly the most important list we have posted on APMdigest. The bottom-line business benefits are what APM is really all about, or should be all about, although the market can forget this at times. But the reality is that no company should be deploying Application Performance Management unless they are using it to drive bottom-line business benefits such as those on this list. The benefits on this list are the payoff, the end result, the ultimate reason for APM ...

10 Bottom-Line Business Benefits of APM

10. Gartner Q&A Part One: Analytics vs. APM

Will Cappelli, Gartner Research VP in Enterprise Management, talks about his latest report: Will IT Operations Analytics Platforms Replace APM Suites?

Gartner Q&A Part One: Analytics vs. APM

The following round out the Top 20:

11. Don't Let Perishable Apps Go Bad
Author: Dave Berg, VP of Product Strategy, Shunra Software

12. Q&A Part Two: Ovum Talks About APM
Interviewee: Michael Azoff, Principal Analyst, Ovum

13. Why Cloud Consumers Need “Objective” Application Performance Management
Author: Jim Young, Information Development Manager, IBM Cloud and Smarter Infrastructure

14. 15 Top Factors that Impact Application Performance

15. The Butterfly Effect Within IT
Author: Larry Dragich, Founder of the APM Strategies Group on LinkedIn

16. Finding Your Organization’s Blind Spots
Author: Steve Tack, VP of Product Management, Compuware's Application Performance Management (APM) Business Unit

17. Why You Need to Integrate IT Operations and IT Service Management
Author: Suvish Viswanathan, Senior Analyst, Unified IT, ManageEngine

18. IT Analytics Emerging as Dissatisfaction Grows with APM and BSM Tools
Author: Sasha Gilenson, CEO, Evolven Software

19. Gartner's 5 Dimensions of APM
Author: Pete Goldin, APMdigest

20. Q&A: EMA Talks About ITIL and Cloud
Interviewees: VP Dennis Drogseth and Director Torsten Volk, Enterprise Management Associates (EMA)

The Latest

The SRE Report 2026: Reliability Is Being Redefined

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

The Hidden Data Engineering Work Required to Make Enterprise AI Viable

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

Why AI Is the Differentiator for Operationally Resilient Organizations

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

Escaping Pilot Purgatory: How AI Becomes an Operational Advantage

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Closing the Gap in Modern Tech and the Tools Meant to Monitor Them

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

MEAN TIME TO INSIGHT Podcast - Episode 23: NetOps Labor Shortage

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Why FinOps Rewrote Its Mission and What It Signals for Technology Management

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Clearing the Path to AI: Why Vendor Consolidation Matters Now

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Cold Data, Hot Problem: Why AI Is Rewriting Enterprise Storage Strategy

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...