IT Monitoring Changing in 2018

Managing emerging technologies such as Cloud, microservices and containers and SDx are driving organizations to redefine their IT monitoring strategies, according to a new study titled 17 Areas Shaping the Information Technology Operations Market in 2018 from Digital Enterprise Journal (DEJ).

Additionally, the study based on insights from more than 2,500 organizations shows the increased importance of AI-enabled IT Operations, machine learning, and advanced analytics as companies deal with key performance challenges.

DEJ's Top Performing Organizations (TPO) Maturity framework shows that, in terms of IT Operations performance, the top 20% of organizations are experiencing significant operational and business benefits such as:

■ 2016 minutes less spent for Mean Time to Resolution (MTTR) per incident as compared to all other organizations

■ 2.5 times more IT resources available for transformation, growth and innovation for TPO in IT Operations

■ Percent of performance issues that are proactively detected: 76% - TPO; 52% - All others

Further Key Highlights:

■ 71% of organizations reported that their IT performance data is not actionable.

■ 79% reported that adding more IT staff to address IT incident management is not an effective strategy.

Overall, DEJ's research shows that the road to becoming a digital business runs through IT Operations, but IT Operations needs to be modernized to enable digital transformation.

“As new technologies are entering the enterprise at a rate that is much faster than in the past, IT Operations organizations cannot afford to play catch-up and have to develop a mix of capabilities that will allow them to create a competitive advantage for their business organizations,” states Bojan Simic, Founder and Chief Analyst of Digital Enterprise Journal. “These capabilities include providing context behind performance data, strong correlation and automation capabilities and embracing a proactive and service centric approach when managing IT Operations.”

The study also shows the importance of monitoring IT performance from the business perspective and creating a business case for the purchase of IT Operations solutions. 58% of organizations reported that the monitoring of IT performance from a user perspective is a strategic goal for IT transformation, while 47% reported that the inability to build a business case is the key obstacle for investing in IT Operations solutions.

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IT Monitoring Changing in 2018

Managing emerging technologies such as Cloud, microservices and containers and SDx are driving organizations to redefine their IT monitoring strategies, according to a new study titled 17 Areas Shaping the Information Technology Operations Market in 2018 from Digital Enterprise Journal (DEJ).

Additionally, the study based on insights from more than 2,500 organizations shows the increased importance of AI-enabled IT Operations, machine learning, and advanced analytics as companies deal with key performance challenges.

DEJ's Top Performing Organizations (TPO) Maturity framework shows that, in terms of IT Operations performance, the top 20% of organizations are experiencing significant operational and business benefits such as:

■ 2016 minutes less spent for Mean Time to Resolution (MTTR) per incident as compared to all other organizations

■ 2.5 times more IT resources available for transformation, growth and innovation for TPO in IT Operations

■ Percent of performance issues that are proactively detected: 76% - TPO; 52% - All others

Further Key Highlights:

■ 71% of organizations reported that their IT performance data is not actionable.

■ 79% reported that adding more IT staff to address IT incident management is not an effective strategy.

Overall, DEJ's research shows that the road to becoming a digital business runs through IT Operations, but IT Operations needs to be modernized to enable digital transformation.

“As new technologies are entering the enterprise at a rate that is much faster than in the past, IT Operations organizations cannot afford to play catch-up and have to develop a mix of capabilities that will allow them to create a competitive advantage for their business organizations,” states Bojan Simic, Founder and Chief Analyst of Digital Enterprise Journal. “These capabilities include providing context behind performance data, strong correlation and automation capabilities and embracing a proactive and service centric approach when managing IT Operations.”

The study also shows the importance of monitoring IT performance from the business perspective and creating a business case for the purchase of IT Operations solutions. 58% of organizations reported that the monitoring of IT performance from a user perspective is a strategic goal for IT transformation, while 47% reported that the inability to build a business case is the key obstacle for investing in IT Operations solutions.

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In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

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In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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Signs It May Be Time to Reassess Your IT Infrastructure Strategy

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

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Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

AI Is Hitting Operational Limits

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Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

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Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

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