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Unlock the Power of Real-Time Collaboration and Network Automation

Rich Martin
Itential

Online collaboration platforms like Slack and Microsoft Teams have become indispensable tools for millions of people around the world, giving businesses and their employees the ability to connect with colleagues and team members directly, and to interact with them in real time. These platforms not only help reduce emails and meetings, they also increase work efficiency and improve a team's overall effectiveness.

But when you look beyond the basic messaging capabilities and other functionalities of these platforms, there is a more powerful collaboration tool that many teams or organizations have yet to tap into.

In the network engineering world, for example, many teams have yet to realize the immense benefit one of these real-time collaboration tools can bring to a successful automation strategy. By integrating a collaboration platform into a network automation strategy — and taking advantage of being able to share responses, files, videos and even links to applications and device statuses — network teams can leverage these tools to manage, monitor and update their networks in real time, and improve the ways in which they manage their networks.

Integrate and Automate

For teams managing large networks, communication between network engineers, network operations, and management is critical for broadcasting changes in network status, coordinating resources, and resolving disruptions.

Many network teams already use a collaboration platform for their day-to-day communications. However, when it's time to communicate detailed network information in real time, the platform often becomes an afterthought, especially when it comes to making changes during a short maintenance window or troubleshooting a network problem. These teams are missing an opportunity to employ a tool they're already using to its full potential.

Integrating a collaboration tool into your network automations can generate three key benefits:

1. Real-time automation visibility

Remember what it was like to have to manually work through backlogs of network changes?

Now that more teams are leveraging automation, tasks that took hours or even days can be accomplished in minutes. That's obviously a good thing from a productivity standpoint, but it also makes keeping everyone on the team aware of when automations are running and what changes were made more difficult.

By integrating a collaboration platform into the automated network change process, teams can receive real-time updates as tasks are executed within the workflow, providing better visibility and oversight of those automated changes and the overall well-being of the network.

2. Increased process efficiency and accountability

To provision a new application or service, teams need to coordinate efforts and work in a specific order, each one doing its part and communicating details that are necessary for everything to work correctly. Unfortunately, it's common for delays to occur due to a lack of communication between teams, or a miscommunication or non-communication of the network details that another group needs to do its part of the process.

The most commonly used collaboration tools offer that the ability to integrate easily with automation processes to send messages, files, and links to individuals and channels. By updating the platform with an automation as soon as a task is completed, it can notify the next team so they're aware and can start their portion of the process. The notification could even include a direct HTTPS link to a change ticket or device entry, saving teams the time of looking up data based on just a text. This will speed handoffs between teams and reduce errors, as well as improve accountability across the organization.

3. Faster trouble resolution

Networks have become complex systems that span multiple devices across multiple domains, working together through many different protocols. In any kind of dispersed system like this there's always the opportunity for problems to rear their ugly heads, and networks are no exception.

Fortunately, networks have many ways to provide resiliency and redundancy at multiple layers, so the impact of a problem can be minimized. However, if you want to help network teams resolve problems quickly, they need to all be aware of the issue in real-time and have immediate access to the information leading up to the problem. Network automations that integrate with a collaboration platform for updates and notifications can see a full accounting of what happened and when during a network event, reducing the time to resolve network problems when they occur.

Take Collaboration to the Next Level

If you can automate your network, you can very likely also automate the ways you keep your teams up to date on its status. By integrating collaboration tools into your network automation workflow, you can extract and format data within the automation and send out real-time messages to communicate and keep the entire team updated on the status of the network and any changes being implemented.

To take full advantage of these capabilities, the automation platform you use should offer the ability to easily create automations that can gather data for a network change, execute the network change, and broadcast a message to a team with detailed information on the network devices being changed, the nature of the changes, and when the changes begin and are completed — all while the automation is in execution. This eliminates the need for network engineers to stop the work they're doing to manually post an update so they can focus on getting more work done.

Integrating a collaboration platform into your network automation process can pay multiple dividends in the managing, monitoring and updating of your network. By dynamically querying devices, extracting data, and broadcasting status updates to your network teams, real-time insight into your network is just a click away.

Rich Martin is Director of Technical Marketing at Itential

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Unlock the Power of Real-Time Collaboration and Network Automation

Rich Martin
Itential

Online collaboration platforms like Slack and Microsoft Teams have become indispensable tools for millions of people around the world, giving businesses and their employees the ability to connect with colleagues and team members directly, and to interact with them in real time. These platforms not only help reduce emails and meetings, they also increase work efficiency and improve a team's overall effectiveness.

But when you look beyond the basic messaging capabilities and other functionalities of these platforms, there is a more powerful collaboration tool that many teams or organizations have yet to tap into.

In the network engineering world, for example, many teams have yet to realize the immense benefit one of these real-time collaboration tools can bring to a successful automation strategy. By integrating a collaboration platform into a network automation strategy — and taking advantage of being able to share responses, files, videos and even links to applications and device statuses — network teams can leverage these tools to manage, monitor and update their networks in real time, and improve the ways in which they manage their networks.

Integrate and Automate

For teams managing large networks, communication between network engineers, network operations, and management is critical for broadcasting changes in network status, coordinating resources, and resolving disruptions.

Many network teams already use a collaboration platform for their day-to-day communications. However, when it's time to communicate detailed network information in real time, the platform often becomes an afterthought, especially when it comes to making changes during a short maintenance window or troubleshooting a network problem. These teams are missing an opportunity to employ a tool they're already using to its full potential.

Integrating a collaboration tool into your network automations can generate three key benefits:

1. Real-time automation visibility

Remember what it was like to have to manually work through backlogs of network changes?

Now that more teams are leveraging automation, tasks that took hours or even days can be accomplished in minutes. That's obviously a good thing from a productivity standpoint, but it also makes keeping everyone on the team aware of when automations are running and what changes were made more difficult.

By integrating a collaboration platform into the automated network change process, teams can receive real-time updates as tasks are executed within the workflow, providing better visibility and oversight of those automated changes and the overall well-being of the network.

2. Increased process efficiency and accountability

To provision a new application or service, teams need to coordinate efforts and work in a specific order, each one doing its part and communicating details that are necessary for everything to work correctly. Unfortunately, it's common for delays to occur due to a lack of communication between teams, or a miscommunication or non-communication of the network details that another group needs to do its part of the process.

The most commonly used collaboration tools offer that the ability to integrate easily with automation processes to send messages, files, and links to individuals and channels. By updating the platform with an automation as soon as a task is completed, it can notify the next team so they're aware and can start their portion of the process. The notification could even include a direct HTTPS link to a change ticket or device entry, saving teams the time of looking up data based on just a text. This will speed handoffs between teams and reduce errors, as well as improve accountability across the organization.

3. Faster trouble resolution

Networks have become complex systems that span multiple devices across multiple domains, working together through many different protocols. In any kind of dispersed system like this there's always the opportunity for problems to rear their ugly heads, and networks are no exception.

Fortunately, networks have many ways to provide resiliency and redundancy at multiple layers, so the impact of a problem can be minimized. However, if you want to help network teams resolve problems quickly, they need to all be aware of the issue in real-time and have immediate access to the information leading up to the problem. Network automations that integrate with a collaboration platform for updates and notifications can see a full accounting of what happened and when during a network event, reducing the time to resolve network problems when they occur.

Take Collaboration to the Next Level

If you can automate your network, you can very likely also automate the ways you keep your teams up to date on its status. By integrating collaboration tools into your network automation workflow, you can extract and format data within the automation and send out real-time messages to communicate and keep the entire team updated on the status of the network and any changes being implemented.

To take full advantage of these capabilities, the automation platform you use should offer the ability to easily create automations that can gather data for a network change, execute the network change, and broadcast a message to a team with detailed information on the network devices being changed, the nature of the changes, and when the changes begin and are completed — all while the automation is in execution. This eliminates the need for network engineers to stop the work they're doing to manually post an update so they can focus on getting more work done.

Integrating a collaboration platform into your network automation process can pay multiple dividends in the managing, monitoring and updating of your network. By dynamically querying devices, extracting data, and broadcasting status updates to your network teams, real-time insight into your network is just a click away.

Rich Martin is Director of Technical Marketing at Itential

Hot Topics

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...