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APM Drives Business

Executives from proactive organizations reported using performance management strategies to deliver innovation and meet broader business goals, and implementing application performance management (APM) tools with advanced monitoring features such as real-time user experience monitoring, and providing a composite view of log and performance data, according to Driving Business Performance Through Application Performance Management, a new report from GigaOm, sponsored by SolarWinds.

"Technology professionals that leverage performance management and monitoring tools to achieve high-level business goals — surpassing downtime, poor connection, and slow performance to create a truly customer-centric user experience — enjoy better chances of keeping pace in ever-changing markets and achieving overall business success," said Denny LeCompte, GM, Application Management, SolarWinds. "Integrating robust APM tools presents the opportunity to transform any business and create a strong competitive advantage."

However, the report also revealed another trend — the majority of business leaders set priorities based on what can be easily fixed versus what matters most to customers. For 61 percent of business leaders surveyed, the primary driver of performance management strategies is to diagnose and resolve problems as quickly as possible, followed by managing the complex application environment (57 percent). These organizations were categorized as reactive, driven by managing day-to-day tasks and troubleshooting application issues, rather than a focus on end-user experience.

Report findings included:

Primary Driver of Application Performance Management Tools and Strategies

■ The primary driver, according to 61 percent of executive decision makers from reactive organizations, is to diagnose and fix problems

■ The second driver is managing complex application environments (57 percent).

■ Both criteria are seen as a higher priority than delivering the best possible customer experience (52 percent). While it's important to troubleshoot issues, this suggests that priorities are set by looking at what can easily be fixed first, versus prioritizing what matters most to customers.

Prioritization of Criteria Related to Customer Experience

■ 66 percent of proactive organizations see customer experience criteria as important, compared to only 34 percent of reactive organizations.

■ Proactive respondents were nearly twice as likely to value customer experience criteria as important. All criteria matter, but for the proactive group, customer-related criteria matters the most.

Most Important Features of APM Tools

■ 65 percent of proactive organizations have comprehensive performance monitoring coverage of the DevOps toolchain, compared to 18 percent of reactive organizations.

■ Proactive organizations consistently value more advanced APM features (54 percent), such as:
- measuring user experience in real time (44 percent)
- providing a composite view of log and performance data (35 percent)
- having a live tail feed of logs and other data sources (32 percent)

■ Contrarily, reactive organizations value advanced features by under 30 percent.

Methodology: The report is based on a survey fielded in March 2019, which yielded 358 responses from business professionals including direct/department heads, CIO/CTO, VP/assistant VP, CEO, general manager, president, SVP, CFO, partner/chairman/board member, COO, and CDO, operating in organizations that have between 500 – 10K+ employees from various vertical markets.

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APM Drives Business

Executives from proactive organizations reported using performance management strategies to deliver innovation and meet broader business goals, and implementing application performance management (APM) tools with advanced monitoring features such as real-time user experience monitoring, and providing a composite view of log and performance data, according to Driving Business Performance Through Application Performance Management, a new report from GigaOm, sponsored by SolarWinds.

"Technology professionals that leverage performance management and monitoring tools to achieve high-level business goals — surpassing downtime, poor connection, and slow performance to create a truly customer-centric user experience — enjoy better chances of keeping pace in ever-changing markets and achieving overall business success," said Denny LeCompte, GM, Application Management, SolarWinds. "Integrating robust APM tools presents the opportunity to transform any business and create a strong competitive advantage."

However, the report also revealed another trend — the majority of business leaders set priorities based on what can be easily fixed versus what matters most to customers. For 61 percent of business leaders surveyed, the primary driver of performance management strategies is to diagnose and resolve problems as quickly as possible, followed by managing the complex application environment (57 percent). These organizations were categorized as reactive, driven by managing day-to-day tasks and troubleshooting application issues, rather than a focus on end-user experience.

Report findings included:

Primary Driver of Application Performance Management Tools and Strategies

■ The primary driver, according to 61 percent of executive decision makers from reactive organizations, is to diagnose and fix problems

■ The second driver is managing complex application environments (57 percent).

■ Both criteria are seen as a higher priority than delivering the best possible customer experience (52 percent). While it's important to troubleshoot issues, this suggests that priorities are set by looking at what can easily be fixed first, versus prioritizing what matters most to customers.

Prioritization of Criteria Related to Customer Experience

■ 66 percent of proactive organizations see customer experience criteria as important, compared to only 34 percent of reactive organizations.

■ Proactive respondents were nearly twice as likely to value customer experience criteria as important. All criteria matter, but for the proactive group, customer-related criteria matters the most.

Most Important Features of APM Tools

■ 65 percent of proactive organizations have comprehensive performance monitoring coverage of the DevOps toolchain, compared to 18 percent of reactive organizations.

■ Proactive organizations consistently value more advanced APM features (54 percent), such as:
- measuring user experience in real time (44 percent)
- providing a composite view of log and performance data (35 percent)
- having a live tail feed of logs and other data sources (32 percent)

■ Contrarily, reactive organizations value advanced features by under 30 percent.

Methodology: The report is based on a survey fielded in March 2019, which yielded 358 responses from business professionals including direct/department heads, CIO/CTO, VP/assistant VP, CEO, general manager, president, SVP, CFO, partner/chairman/board member, COO, and CDO, operating in organizations that have between 500 – 10K+ employees from various vertical markets.

Hot Topics

The Latest

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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.