Skip to main content

Embracing Automation to Prevent Network Downtime

Craig McDonald
BackBox

According to Gartner, IT system downtime causes an average loss of $300,000 per hour. Unfortunately, even highly skilled IT teams can make configuration mistakes or other errors, especially when dealing with the disarray that comes along with having a plethora of different device types and vendors across hybrid cloud and on-premises environments that compile today's modern networks and support mission-critical applications.

Networks need to be up and running for businesses to continue operating and sustaining customer-facing services. Streamlining and automating network administration tasks enable routine business processes to continue without disruption, eliminating any network downtime caused by human error or other system flaws.

Causes for Downtime

While network downtime can be caused by many factors from manual configuration errors to cyberattacks from threat actors, the bottom line is that outages are frustrating for teams unable to do their daily tasks and can lead to loss of confidence from customers and partners — not to mention the potential for significant revenue loss. Organizations dealing with today’s complicated network environments should be aware of a few leading causes of outages:

1. Increasing Complexity: The sharp increase in a distributed workforce spurred by the pandemic has led to an increase in network complexity. Because organizations' employees are now often based all over the world, there is an increase in hybrid network environments and the diversity of device types as well as different vendors of those devices that compile a network, which only grows increasingly complex as a business scales.

2. Human Error: The ongoing skills gap in the IT industry has a significant impact on network outages. As companies look to fill open roles for their IT teams, IT teams struggle with endless manual tasks they are expected to do at all hours of the day. So many manual processes coupled with smaller teams means configuration errors are easily introduced, patch management falls behind and it becomes increasingly difficult to keep up with best practices for routine network backups. Additionally, the manual effort surrounding script maintenance could be disrupted if the resources with relevant scripting knowledge leave the organization. Backfilling for these skills can take months, leaving the network vulnerable and putting the organization in a more difficult position to restore the network when an outage does occur.

Cyberattacks: Cyberattacks that leverage network vulnerabilities can cause significant downtime for businesses, with the outages following a ransomware attack averaging about 23 days. Cyber threats like ransomware, phishing and denial of service attacks are designed to push networks offline, taking down mission-critical applications. Some attackers even deliberately delete or compromise backups in an attempt to make it even more difficult for victims to recover and increase the chances of paying a ransom.

Leveraging Network Automation to Reduce Outages

As networks grow in complexity, the demand on networks and the IT teams supporting them to consistently deliver services and maintain a secure posture increases significantly. Organizations must lean on network management strategies that rely heavily on automation to reduce outages and risk.

Automation brings the ability to instill repeatability and consistency across your team and network. With standard processes implemented throughout the network, complex tasks become near-effortless, and potentially troublesome situations within the network infrastructure are avoided. For example, updating all devices to the most current vendor operating systems is a time-consuming and error-prone process when done manually, but is critically important to ensure network security, making it the perfect process to automate.

Automation helps to mitigate the impact of turnover and ongoing skills shortages and enables staff to execute consistently and effectively regardless of seniority or experience. In addition, through automation, IT staff can spend more time on strategic, growth-focused activities instead of administrative work like updating configurations with manual and laborious scripts.

By leveraging automation to reduce the chances of human error in networks, organizations can ensure the dissemination of baseline, gold-standard configurations that will enable teams to securely configure critical devices and remediate even the slightest deviations in configurations that could create a vulnerability and lead to a cyberattack.

With so many of today’s businesses depending on functioning networks to run operations, it is critical for organizations to invest in tools that prevent network outages and the consequences that follow, and automation is key. Having a network automation strategy will drive compelling operational efficiency gains and ensure a better security posture, all while making the life of IT teams easier by ensuring networks outages do not occur.

Craig McDonald is VP of Product Management at BackBox

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 ...

Embracing Automation to Prevent Network Downtime

Craig McDonald
BackBox

According to Gartner, IT system downtime causes an average loss of $300,000 per hour. Unfortunately, even highly skilled IT teams can make configuration mistakes or other errors, especially when dealing with the disarray that comes along with having a plethora of different device types and vendors across hybrid cloud and on-premises environments that compile today's modern networks and support mission-critical applications.

Networks need to be up and running for businesses to continue operating and sustaining customer-facing services. Streamlining and automating network administration tasks enable routine business processes to continue without disruption, eliminating any network downtime caused by human error or other system flaws.

Causes for Downtime

While network downtime can be caused by many factors from manual configuration errors to cyberattacks from threat actors, the bottom line is that outages are frustrating for teams unable to do their daily tasks and can lead to loss of confidence from customers and partners — not to mention the potential for significant revenue loss. Organizations dealing with today’s complicated network environments should be aware of a few leading causes of outages:

1. Increasing Complexity: The sharp increase in a distributed workforce spurred by the pandemic has led to an increase in network complexity. Because organizations' employees are now often based all over the world, there is an increase in hybrid network environments and the diversity of device types as well as different vendors of those devices that compile a network, which only grows increasingly complex as a business scales.

2. Human Error: The ongoing skills gap in the IT industry has a significant impact on network outages. As companies look to fill open roles for their IT teams, IT teams struggle with endless manual tasks they are expected to do at all hours of the day. So many manual processes coupled with smaller teams means configuration errors are easily introduced, patch management falls behind and it becomes increasingly difficult to keep up with best practices for routine network backups. Additionally, the manual effort surrounding script maintenance could be disrupted if the resources with relevant scripting knowledge leave the organization. Backfilling for these skills can take months, leaving the network vulnerable and putting the organization in a more difficult position to restore the network when an outage does occur.

Cyberattacks: Cyberattacks that leverage network vulnerabilities can cause significant downtime for businesses, with the outages following a ransomware attack averaging about 23 days. Cyber threats like ransomware, phishing and denial of service attacks are designed to push networks offline, taking down mission-critical applications. Some attackers even deliberately delete or compromise backups in an attempt to make it even more difficult for victims to recover and increase the chances of paying a ransom.

Leveraging Network Automation to Reduce Outages

As networks grow in complexity, the demand on networks and the IT teams supporting them to consistently deliver services and maintain a secure posture increases significantly. Organizations must lean on network management strategies that rely heavily on automation to reduce outages and risk.

Automation brings the ability to instill repeatability and consistency across your team and network. With standard processes implemented throughout the network, complex tasks become near-effortless, and potentially troublesome situations within the network infrastructure are avoided. For example, updating all devices to the most current vendor operating systems is a time-consuming and error-prone process when done manually, but is critically important to ensure network security, making it the perfect process to automate.

Automation helps to mitigate the impact of turnover and ongoing skills shortages and enables staff to execute consistently and effectively regardless of seniority or experience. In addition, through automation, IT staff can spend more time on strategic, growth-focused activities instead of administrative work like updating configurations with manual and laborious scripts.

By leveraging automation to reduce the chances of human error in networks, organizations can ensure the dissemination of baseline, gold-standard configurations that will enable teams to securely configure critical devices and remediate even the slightest deviations in configurations that could create a vulnerability and lead to a cyberattack.

With so many of today’s businesses depending on functioning networks to run operations, it is critical for organizations to invest in tools that prevent network outages and the consequences that follow, and automation is key. Having a network automation strategy will drive compelling operational efficiency gains and ensure a better security posture, all while making the life of IT teams easier by ensuring networks outages do not occur.

Craig McDonald is VP of Product Management at BackBox

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 ...