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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.

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AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

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Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...