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Challenges of DIY Network Automation

Shamus McGillicuddy

Unlike other areas of IT operations where commercial tools dominate, network teams continue to rely heavily on homegrown scripts and open-source tools — despite the costs.

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest Enterprise Management Associates (EMA™) report.

Network engineers often talk about the 80/20 rule with network automation. Most vendors can fulfill 80% of network automation use cases with commercial tools, but there always remains that 20% that only a DIY approach can address. The report explores a possible hybrid approach, where engineers can merge their DIY automation with commercial platforms to hit 100% of use cases more efficiently and effectively.

Based on 12 in-depth interviews with enterprise network automation experts, this new report examines why do-it-yourself (DIY) network automation persists, the value it offers, and the hidden costs and risks it introduces. It also explores how network automation vendors can enhance or replace these tools without disrupting existing operations.

Some of the key findings from the report include:

  • The drivers of DIY network automation include budget issues and the need to have full control over an automation roadmap.
  • DIY automation strategies typically struggle with skills gaps in the network automation team, tool complexity, usability issues.
  • Network automation pros would like vendors to deliver value around tool governance, modularity and extensibility, and logging and reporting.

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Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

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Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

Challenges of DIY Network Automation

Shamus McGillicuddy

Unlike other areas of IT operations where commercial tools dominate, network teams continue to rely heavily on homegrown scripts and open-source tools — despite the costs.

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest Enterprise Management Associates (EMA™) report.

Network engineers often talk about the 80/20 rule with network automation. Most vendors can fulfill 80% of network automation use cases with commercial tools, but there always remains that 20% that only a DIY approach can address. The report explores a possible hybrid approach, where engineers can merge their DIY automation with commercial platforms to hit 100% of use cases more efficiently and effectively.

Based on 12 in-depth interviews with enterprise network automation experts, this new report examines why do-it-yourself (DIY) network automation persists, the value it offers, and the hidden costs and risks it introduces. It also explores how network automation vendors can enhance or replace these tools without disrupting existing operations.

Some of the key findings from the report include:

  • The drivers of DIY network automation include budget issues and the need to have full control over an automation roadmap.
  • DIY automation strategies typically struggle with skills gaps in the network automation team, tool complexity, usability issues.
  • Network automation pros would like vendors to deliver value around tool governance, modularity and extensibility, and logging and reporting.

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...