Skip to main content

The New Normal for IT Ops Deepens Need for AI - Part 2

Will Cappelli
Moogsoft

The global pandemic has radically changed how enterprise IT services are consumed, both in the short and long term. Here's how AIOps can help IT Ops teams:

Start with The New Normal for IT Ops Deepens Need for AI - Part 1

Managing the New Normal

The new normal includes not only periodic recurrences of Covid-19 outbreaks but also the periodic emergence of new global pandemics. This means putting in place at least three layers of digital business continuity practice:

■ Continuity for illness-free periods

■ Continuity for periods marked by known pandemics

■ Continuity for periods marked by new pandemics

Rules-based, historical data analysis, and predictive analysis based on history become useless in this scenario. Instead, what's needed is technology that can anticipate outages without reliance on stable historical patterns, as AIOps does.

Significant economic contraction and resulting pressure on both capital and operational expenditures will lead to chronic understaffing of IT operations and NOC functions. IT Ops can leverage AIOps to achieve heightened levels of automation and to support radically deep cuts in the number of tools required to both monitor the digital infrastructure and respond to incidents that occur.

As remote work becomes default, it will become impossible to replicate the "monitoring cockpit" experience or the "service desk cockpit" experience. IT operations team members and first responders will need to get by with standard IT management software. That requires a significant increase in the number of signals that require observation on the one hand and the number of tickets which require response on the other hand. AIOps can help to manage this by reducing signals and tickets.

Optimizing the New Normal

The move to an almost entirely virtualized infrastructure and service portfolio will allow for maximum agility and the ability to reconfigure people, processes and technologies to meet emerging business needs (which will themselves likely be novel in the new normal.) To provide continuous assurance of service levels (even as the services themselves evolve), IT Ops teams can leverage AIOps and its ability to anticipate outages and brown-outs on the basis of data as it arrives, as opposed to pre-existing static models of topology and user behaviour.

The shift from an IT budget that, beyond labor commitments, is dominated by capital expenditures and maintenance, to one that is almost entirely dominated by renewable operational expenditures, will increase business resilience in the face of the three types of continuity issues outlined above. AIOps can help in this area as well by helping to anticipate short-term fluctuations in resource requirements based on the possibility of looming outages and brown-outs.

The economic contraction will accelerate digitalization and, in fact, lead to what may be called "maximum digitalization" with the consequence that, for the most part, business process events will be IT system state changes. One will not be able to manage business processes unless one simultaneously manages IT system events. AIOps can be invaluable here by effectively discovering and managing the higher-level IT system event patterns that are, in fact, business process patterns.

Will Cappelli is Field CTO at Moogsoft

The Latest

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

The New Normal for IT Ops Deepens Need for AI - Part 2

Will Cappelli
Moogsoft

The global pandemic has radically changed how enterprise IT services are consumed, both in the short and long term. Here's how AIOps can help IT Ops teams:

Start with The New Normal for IT Ops Deepens Need for AI - Part 1

Managing the New Normal

The new normal includes not only periodic recurrences of Covid-19 outbreaks but also the periodic emergence of new global pandemics. This means putting in place at least three layers of digital business continuity practice:

■ Continuity for illness-free periods

■ Continuity for periods marked by known pandemics

■ Continuity for periods marked by new pandemics

Rules-based, historical data analysis, and predictive analysis based on history become useless in this scenario. Instead, what's needed is technology that can anticipate outages without reliance on stable historical patterns, as AIOps does.

Significant economic contraction and resulting pressure on both capital and operational expenditures will lead to chronic understaffing of IT operations and NOC functions. IT Ops can leverage AIOps to achieve heightened levels of automation and to support radically deep cuts in the number of tools required to both monitor the digital infrastructure and respond to incidents that occur.

As remote work becomes default, it will become impossible to replicate the "monitoring cockpit" experience or the "service desk cockpit" experience. IT operations team members and first responders will need to get by with standard IT management software. That requires a significant increase in the number of signals that require observation on the one hand and the number of tickets which require response on the other hand. AIOps can help to manage this by reducing signals and tickets.

Optimizing the New Normal

The move to an almost entirely virtualized infrastructure and service portfolio will allow for maximum agility and the ability to reconfigure people, processes and technologies to meet emerging business needs (which will themselves likely be novel in the new normal.) To provide continuous assurance of service levels (even as the services themselves evolve), IT Ops teams can leverage AIOps and its ability to anticipate outages and brown-outs on the basis of data as it arrives, as opposed to pre-existing static models of topology and user behaviour.

The shift from an IT budget that, beyond labor commitments, is dominated by capital expenditures and maintenance, to one that is almost entirely dominated by renewable operational expenditures, will increase business resilience in the face of the three types of continuity issues outlined above. AIOps can help in this area as well by helping to anticipate short-term fluctuations in resource requirements based on the possibility of looming outages and brown-outs.

The economic contraction will accelerate digitalization and, in fact, lead to what may be called "maximum digitalization" with the consequence that, for the most part, business process events will be IT system state changes. One will not be able to manage business processes unless one simultaneously manages IT system events. AIOps can be invaluable here by effectively discovering and managing the higher-level IT system event patterns that are, in fact, business process patterns.

Will Cappelli is Field CTO at Moogsoft

The Latest

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...