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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...