Network telemetry is becoming the new normal

Network telemetry is becoming the new normal

The work being done on federal, state and local levels to ensure the health of society during and post-COVID-19 will be driven by the internet of things (IoT). From contact tracing to drones, the reopening of America will be regulated by millions of data streams delivered from thousands of connection points. IT practitioners will be tasked with making sense of all of the information coming across their screens.

Processing and understanding all of this data will be a challenge, for two main reasons.

First, different devices produce different types of data streams and logs. A lack of consistency across devices can make it difficult for IT administrators to get a good handle on all of the information coming in.

Second, it’s not just IoT devices IT administrators need to monitor. They must also stay on top of traditional infrastructure — which could be a combination of new and legacy systems — and applications existing across cloud service providers.

Agencies need a better way to collect and process the tidal wave of information coming their way and gain better visibility into the various devices providing this data. Network telemetry offers a path forward, allowing agencies to more easily collect and analyze multiple data streams, leading to positive applications in COVID-related data processing and beyond.

Pulling information together

While network telemetry isn’t new, it’s becoming increasingly important as the volume of data continues to grow. Network telemetry collects data from different sources, pulls the information together and funnels it for easier analysis. It can also help administrators gain a better picture of the health of a particular device. Organizations can receive real-time information about the status of their devices, helping them perform more accurate and faster root cause analysis to pinpoint problem areas.

There are several network telemetry technologies available, including Amazon Web Services’ VPC Flows, which can help monitor data being generated by AWS hosted sites, and Cisco’s ACI data center fabric. Both give administrators automated remote management, monitoring of various connection points and easier data management.

However, unlike simple network management protocol (SNMP), the bedrock of traditional network monitoring, there’s no set standard for network telemetry — although the Internet Engineering Task Force provides a nice framework. This could create challenges for agencies needing to monitor a wide range of devices and data points.

A broader data canvas

Agencies must be able to holistically collect data across their entire canvas and process the information in an easily comprehensible and actionable way. They must have the right tooling in place to field data quickly so those on the ground can make the right decisions at the right times.

Being able to process multiple data streams and understand how those streams apply to each other is critical. Take, for example, states’ approach to reopening. State health officials are relying on different datasets to tell them what can be done and when, including analyzing positive case rates, contact tracing, testing status and more. Each data point informs others to create a complete picture of a state’s readiness to proceed to a new phase.

Processing each of these points manually would take an enormous amount of time and could be prone to human error. It’s better to implement a network telemetry solution designed to take the data from the different sources, automatically analyze how the data streams relate to one another and use the analysis to inform different decision points. This “one source to rule them all” approach is much more efficient and accurate than manually stitching together the information.

Better analysis, better outcomes

Network telemetry can improve outcomes in use cases beyond COVID-19 response. For example, military operations often depend on the quick consumption and analysis of multiple data streams.

Warfighters need just-in-time data, particularly in combat situations. Some soldiers may have IoT devices as part of their uniforms, and these devices may be sending information on inventories, supplies and more back to central command. Administrators must be able to interpret this data in real time to provide troops with whatever they need at a moment’s notice.

The best and most efficient way to do this is with a telemetry system designed to coalesce multiple data points into a single and easier-to-interpret point. Simplifying the streams can lead to better, faster and more accurate decisions capable of directly impacting soldiers’ lives.

The new normal

In the war against COVID-19, the number of devices and data points IT practitioners must manage will continue to grow. In addition to contact tracing, IoT devices will likely be used to monitor crowd sizes, patients who have recovered from the disease, pharmaceutical inventory levels and more. Network telemetry will play a vital role in this new normal.


About the Author

Brandon Shopp has been our Vice President of Product for Network Management since February 2018. He served as our Director of Product Management since November 2011, assuming the title and responsibilities of Senior Director of Product Management in July 2013. Previously, Shopp was the Vice President of Product Management at AlienVault, from August 2016 until February 2018 and the Senior Director of Products at Embarcadero Technologies, from July 2015 until August 2016. Shopp has a proven success record in product delivery and revenue growth, with a wide variety of software product, business model, M&A, and go-to-market strategies experience. Shopp holds a B.B.A. from Texas A&M University.

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