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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

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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

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...