Who Else Wants Proactive Network and Application Monitoring?

Machine-learning-base Artificial IntelligenceThe Digital Robotics Engine (DRE) from Enterprise Integration (EI) offers a powerful machine-learning-based artificial intelligence application that provides extensive reporting and data-driven analytics. DRE can perform an extensive array of functions, but one of the most practical applications is network monitoring. As the basis of EI’s own monitoring services or as an interface that ingests data from other leading monitoring tools, DRE can take a stream of very technical information that can be confusing, high-volume and dense and turn it into actionable data and easy-to-digest graphs and real-time reports.

By integrating and operating inputs and outputs through an Open API, DRE can parse the metadata flowing out of network monitoring and reporting software and also create and send back its own queries. DRE manages all this seamlessly and provides a comprehensive, yet simplified, look into your current state, historical trends and projected future needs.

After collecting data and setting custom monitoring in your native network tools, DRE can control and act on the results on its own. It can also produce actionable reports and tickets for technical staff to review. DRE’s integration with Open APIs provide the power to automate and customize processes and improve the utility of complex sets of results from software tools that are normally isolated in their own silo and producing information with little-to-no context.

Through its interaction with the all types of monitoring applications, DRE offers a comprehensive way to monitor and control:

  • Network device discovery
  • Intelligent Event notification, triage and tasking
  • Health monitoring
  • Improved data-driven visibility
  • Resource Allocation

DRE operates across all operating systems and major network architectures and applications, customizing its responses and functions to your environment.

Network Mapping & Discovery

When DRE is first integrated into your system, it creates a complete map of your network. It analyzes each device, determines current resource needs and begins to build a map and resource plan that customizes each type of application.

DRE’s machine learning algorithm has encountered and tracked hundreds of applications and device types, so it already comes equipped with a profile for different network functions. By looking at the services currently running, it can tell the difference between a SQL server or a web server and properly allocate resources.

Where DRE exceeds the mandate of a typical resource allocation plan is in what happens when it encounters something new. If it looks at a list of running services and sees something new, DRE’s AI can search the internet to learn the function of the new service. Based on the information it finds, it can begin to build a profile.

Of course, a side effect of this capability is that it also provides a powerful tool to alert you when something new comes on line that you weren’t expecting. DRE’s ability to learn about an application can also detect malware quickly and efficiently.

Intelligent Alerting

The majority of tools on the market allow IT staff to configure alerts and triggers that send text messages, emails or create tickets automatically. The challenge in that is that the IT staff have to create and customize alert settings for each class of device and specific mission-critical applications. Also, when a part of a network goes down (a switch, for example), the loss of service across multiple devices, applications and storage devices can trigger a massive flood of nearly identical alerts. While you want a record of all of these alerts and what was affected so you can bog back and clean up, you don’t want to have to manually go through them all before you start looking into the actual cause of the outage. The key to a timely determination of which tickets have the same root cause and which might be a symptom of a separate problem is sometimes buried deep down in a pile of nearly identical tickets.

That’s where DRE’s machine learning ability comes into play. DRE can customize alerting for you based on the type of device or the applications it runs. It also learns and maps the entire network, so a flood of nearly identical tickets from an outage can be collated and reduced to a single automated root-cause analysis. If there also happens to be a similar outage of a different application, DRE can provide separate alerting on that outage and can be set up to prioritize the alerting based on business needs and impact.

Monitoring

Network administrators are dealing with a wider variety of devices than ever before  A large database application will demand a solid connection and efficient network paths that must be constantly monitored. A drop in availability is important enough to trigger an alert that should be addressed and resolved as quickly as possible.

On the other hand, a smaller device such as an internet of things (IoT) device doesn’t need to connect all the time. It may run a low-power WiFi adaptor on batteries or even be mobile. This device might tend to drop off the network the rest of the time and that is no cause for alarm.

DRE’s approach to this problem is to adjust to changing conditions and develop a performance metric on its own. This metric will be automatically customized to the specific application and its needs. A large database may need a wider pipeline or more processing power at a given time of high demand. DRE can measure and use predictive analytics to change resource allocation when needed to ensure that no interruption of service takes place and that no IT technician had to step in to make it happen.

The Single Pane of Glass

The AI built into DRE offers advanced data integration and management at a level above what is offered by most monitoring tools. This includes fully customizable visualizations as well as insight into the complete network infrastructure. Everything can be consolidated to a single view or “pane of glass” to offer a complete real-time status report on your network’s functioning.

In addition to a live view, this look can be dialed back to display a complete analysis of historical data. This provides a greater level of insight that assists in performance monitoring, resource planning and overall architecture optimization. With a clear view into how the network currently works, this information is useful for capital expansion or the proper allocation of cloud resources.

Dynamic Resource Allocation

At one time, most network traffic was essentially treated the same and most devices were set up with a specific set of resources that would support their expected maximum capacity. That’s no longer the case when the same backbone supports a large variety of different applications. A web server for a retail sales site might need higher bandwidth during peak shopping times but almost none in the middle of the night, while a streaming video service would experience peak usage during prime evening hours and much less in the morning. DRE can measure, predict and modify these needs on the fly. It can also help model, plan and allocate for the addition of new devices or functions.

DRE is also smart about events that occur regularly, such as a large backup task that’s part of a business continuity plan. This function requires the ability to transmit large amounts of data across the network. By properly tuning and allocating resources, DRE provides the backup task with enough power and bandwidth to efficiently run while other low-activity devices have their available resources tweaked down. Of course, this is all done automatically without intervention from the IT staff. And due the scheduled and expected nature of the backup task, the drop in resources available to other devices does not trigger an alert as it might in the event of an unexpected loss of bandwidth or a sudden unplanned addition of new network traffic.

In the case of another application such as streaming video, DRE has already preprofiled the video streaming device or application and will adjust parameters and resources on the fly. This provides a seamless performance profile for resource-intensive tasks such as a live video chat by intelligently repurposing the same system resources that were previously dedicated to the backup task.

The DRE Difference

The true added business process automation seen with DRE is that is provides an intelligent way to automate tasks that are only increasing in frequency and complexity. As network devices become more complex and have more specialized needs, the ability to manage them with efficiency and limited manpower has become harder and harder. Using DRE to help manage a network offers a powerful integration between existing monitoring tools, basic automation, and machine learning.

Enterprise Integration customizes DRE to the requirements of each customer. DRE can learn your network and offer a comprehensive deep dive into its architecture, performance and both current and future resource needs. Contact EI today to learn more.

Integrating DRE: Digital Robotics Engine

DRE: Digital Robotics Engine Contact Enterprise Integration to find out how DRE can streamline your systems and bring all your most important data closer to you. Many clients see results and return on investment almost immediately.[arrow]
DRE and EI are ready to discuss your needs.

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