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How to Speed Up Incidents with a Lot of Cooks in the Kitchen

Anirban Chatterjee

In today's complex, dynamic IT environments, the proliferation of disparate IT Ops, NOC, DevOps, and SRE teams and tools is a given — and usually considered a necessity. This leads to the inevitable truth that when an incident happens, often the biggest challenge is collaborating between these teams to understand what happened and resolve the issue. Inefficiencies suffered during this critical stage can have huge impacts on how much each incident costs the business.

I recently sat down (virtually) with Sid Roy, VP of Client Services at Scicom, to get a deeper understanding of how IT leaders can more effectively size up these inefficiencies and eliminate them.

The Cost of IT Incidents

When asked what a minute of downtime costs, analysts and vendors may provide different answers — but they are more or less aligned around the same order of magnitude — several thousands of dollars per minute. And with an average of 5 major incidents a month, at an average time of 6 hours for resolution — this easily amounts to millions of dollars a year.


The three key drivers of these costs are:

Staffing and team member costs: It includes FTEs, consultants, and overhead — when other teams are pulled in to deal with the incident. For many organizations, this can include offshore incident response teams.

The direct and indirect costs of an IT incident: This includes your infrastructure or capital expenditures like software licenses for monitoring, log and event management, notification, ticketing, collaboration, etc.

The business impact of an IT incident: This is one of the most challenging and unpredictable variable costs to calculate or manage, and is often the highest of all three drivers. It includes revenue loss/delay or reduction due to a major incident and the profit or loss due to brand or goodwill impact. It also includes inefficiencies suffered by other parts of the business when critical services they depend on are degraded or unavailable.

Fragmented Teams Magnify the Challenge

The incident volume, complexity, and throughput obviously affect the number of people and time needed to deal with them and often drive more indirect costs as needed resources pile up. To save on these millions of dollars of costs, you need to be able to collaborate and lower MTTR. As mentioned above, this becomes a challenge in agile IT environments.

To help streamline operations, teams need to start asking and answering several key questions:

■ Do you have an up-to-date map of your critical services?

■ Are they prioritized by business criticality (revenue, number of customers, other supported services in the supply chain)?

■ What are the upstream and downstream dependencies of these applications?

■ Have you identified the major infrastructure and application elements in your environment?

■ Are you aligned with the owners of these systems?

■ Do you have real-time knowledge of changes being done to the infrastructure and applications?

■ Do you have monitoring gaps?

■ Which monitoring tools provide you with the best value?

Answering these questions involves overcoming fragmentation across teams of people, processes, and tools — essentially integrating ITSM and ITOM to enjoy the benefits of contextual full-stack visibility and streamlined processes within the organization.


The Right Combination

What is the right combination of people, processes, and tools we just discussed? Here are the two main guidelines:

Set up a major incident management team- to optimally benefit from your existing staff.

This team includes three vital roles:

- The incident manager/incident response commander. A designated role in charge of declaring a major incident and taking ownership of it. Their job is to essentially stop the bleeding of revenue and costs.

- The NOC/monitoring team. This is your front line of defense. When things go bump in the night or boom in the day, they're the ones picking it up with their “eyes on the glass” — 24/7. And they're in charge of reporting and creating full situational awareness for the incident command through bidirectional communications.

- The production support. The team that actually effects the required changes and executes the remediating action.


Deploy event correlation and automation tools to enable the incident management team.

These tools are key, allowing your team to do all the above.

First, correlate the alerts your monitoring and observability tools create into a drastically reduced number of high-level, insight-rich incidents by using Machine Learning and AI. Add context to these incidents by ingesting and understanding topology sources as well. This creates the needed full-stack visibility and situational awareness.

Then use ML and AI to determine the root cause of these incidents, including correlating them with data streams from your change tools: CI/CD, orchestration, change management, and auditing — to identify whether any changes were done in your environment are causing these incidents.

Finally — automate as many manual processes as you can to free your IT Ops team from time-consuming tasks. By integrating with collaboration tools — you can also enable the above-mentioned bi-directional communications.

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How to Speed Up Incidents with a Lot of Cooks in the Kitchen

Anirban Chatterjee

In today's complex, dynamic IT environments, the proliferation of disparate IT Ops, NOC, DevOps, and SRE teams and tools is a given — and usually considered a necessity. This leads to the inevitable truth that when an incident happens, often the biggest challenge is collaborating between these teams to understand what happened and resolve the issue. Inefficiencies suffered during this critical stage can have huge impacts on how much each incident costs the business.

I recently sat down (virtually) with Sid Roy, VP of Client Services at Scicom, to get a deeper understanding of how IT leaders can more effectively size up these inefficiencies and eliminate them.

The Cost of IT Incidents

When asked what a minute of downtime costs, analysts and vendors may provide different answers — but they are more or less aligned around the same order of magnitude — several thousands of dollars per minute. And with an average of 5 major incidents a month, at an average time of 6 hours for resolution — this easily amounts to millions of dollars a year.


The three key drivers of these costs are:

Staffing and team member costs: It includes FTEs, consultants, and overhead — when other teams are pulled in to deal with the incident. For many organizations, this can include offshore incident response teams.

The direct and indirect costs of an IT incident: This includes your infrastructure or capital expenditures like software licenses for monitoring, log and event management, notification, ticketing, collaboration, etc.

The business impact of an IT incident: This is one of the most challenging and unpredictable variable costs to calculate or manage, and is often the highest of all three drivers. It includes revenue loss/delay or reduction due to a major incident and the profit or loss due to brand or goodwill impact. It also includes inefficiencies suffered by other parts of the business when critical services they depend on are degraded or unavailable.

Fragmented Teams Magnify the Challenge

The incident volume, complexity, and throughput obviously affect the number of people and time needed to deal with them and often drive more indirect costs as needed resources pile up. To save on these millions of dollars of costs, you need to be able to collaborate and lower MTTR. As mentioned above, this becomes a challenge in agile IT environments.

To help streamline operations, teams need to start asking and answering several key questions:

■ Do you have an up-to-date map of your critical services?

■ Are they prioritized by business criticality (revenue, number of customers, other supported services in the supply chain)?

■ What are the upstream and downstream dependencies of these applications?

■ Have you identified the major infrastructure and application elements in your environment?

■ Are you aligned with the owners of these systems?

■ Do you have real-time knowledge of changes being done to the infrastructure and applications?

■ Do you have monitoring gaps?

■ Which monitoring tools provide you with the best value?

Answering these questions involves overcoming fragmentation across teams of people, processes, and tools — essentially integrating ITSM and ITOM to enjoy the benefits of contextual full-stack visibility and streamlined processes within the organization.


The Right Combination

What is the right combination of people, processes, and tools we just discussed? Here are the two main guidelines:

Set up a major incident management team- to optimally benefit from your existing staff.

This team includes three vital roles:

- The incident manager/incident response commander. A designated role in charge of declaring a major incident and taking ownership of it. Their job is to essentially stop the bleeding of revenue and costs.

- The NOC/monitoring team. This is your front line of defense. When things go bump in the night or boom in the day, they're the ones picking it up with their “eyes on the glass” — 24/7. And they're in charge of reporting and creating full situational awareness for the incident command through bidirectional communications.

- The production support. The team that actually effects the required changes and executes the remediating action.


Deploy event correlation and automation tools to enable the incident management team.

These tools are key, allowing your team to do all the above.

First, correlate the alerts your monitoring and observability tools create into a drastically reduced number of high-level, insight-rich incidents by using Machine Learning and AI. Add context to these incidents by ingesting and understanding topology sources as well. This creates the needed full-stack visibility and situational awareness.

Then use ML and AI to determine the root cause of these incidents, including correlating them with data streams from your change tools: CI/CD, orchestration, change management, and auditing — to identify whether any changes were done in your environment are causing these incidents.

Finally — automate as many manual processes as you can to free your IT Ops team from time-consuming tasks. By integrating with collaboration tools — you can also enable the above-mentioned bi-directional communications.

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...