2019 Application Performance Management Predictions - Part 6
December 20, 2018
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APMdigest invited industry experts — from analysts and consultants to users and the top vendors — to predict how APM and related technologies will evolve and impact business in 2019. Part 6 covers the Internet of Things (IoT).

Start with 2019 Application Performance Management Predictions - Part 1

Start with 2019 Application Performance Management Predictions - Part 2

Start with 2019 Application Performance Management Predictions - Part 3

Start with 2019 Application Performance Management Predictions - Part 4

Start with 2019 Application Performance Management Predictions - Part 5


Businesses attempting to incorporate IoT devices and sensors into their application performance toolchain will soon realize an overwhelming wave of data can come from these devices, so tuning efforts will involve better semantic definition and filtering of the data to increase the relevancy without the bandwidth and storage impact.
Jason English
Principal Analyst & CMO , Intellyx


The anticipated 50 billion connected devices by 2020 is driving a new approach to application performance at the endpoint. Managing, securing and delivering these endpoints and the applications that will run on them, and satisfying user expectations, will be a key IT objective in 2019 and beyond. Enterprises will be looking for endpoint management solutions that offer a centralized, automated means of managing thousands of endpoints. Bringing organization and efficiency to delivering applications will be essential to controlling the onslaught of billions of new devices into the environment.
Matthias Haas


IoT traffic will become significant for the first time and impact network congestion. This will impact the 5G specification which will have to be updated to address IoT requirements better.
Antony Edwards
COO, Eggplant


Next year will be a defining year for edge and hybrid computing strategies as IoT and and the global network of sensors pile on more data than the average cloud has had to handle in the past. This transition will officially crown edge computing as the next big thing. According to a study from IDC, 45 percent of all data created by IoT devices will be stored, processed, analyzed and acted upon close to or at the edge of a network by 2020. In the process, edge computing will take on workloads that struggle on hosted cloud environments, passing the torch over to HCI platforms.
Alan Conboy
Office of the CTO, Scale Computing

When it comes to powering an ever-growing number of IoT applications across every industry, edge computing will make the biggest impact on performance and reliability. An infrastructure that can handle tons of devices and end users constantly emitting and consuming large streams of data is mission critical. Edge computing deals with these challenges by moving computation as close to the device as possible (ie. "the edge"). This means that edge devices can run faster and more efficiently, not wasting bandwidth and battery on tasks that could simply be processed at the edge.
Stephen Blum
CTO and Co-Founder, PubNub


In 2018, some of the most popular IoT verticals included manufacturing, transportation and utilities and there is a tendency to collect just the relevant data for the primary use case (e.g. GPS coordinates for transportation). It made sense to start here, but in 2019, expect to see “ambient intelligence” driven by complementary sensor capabilities. We will see early examples in the smart city — digital billboards, shared bikes and street lights could provide cities with air quality, traffic, noise, and even crime data.
Evan Cummack
Head of IoT, Twilio


Moore's Law puts unprecedented compute and storage capacity at the edge. This combined with modern vision algorithms spur the rise of video as the "uber sensor." A huge opportunity in 2019 for organizations to develop applications at the edge that use streaming video data at the edge for applications like fleet tracking, agriculture development, autonomous vehicles and more. Importantly, to improve performance and save money on data movement, the application executes at the edge with results sent back to the core.
Bill Peterson
VP, Industry Solutions, MapR


As tech innovation rapidly grows, security will continue to be left behind. As an example, countless IoT startups are popping up, but are lacking the resources to ensure security of their products. With IoT technology more tightly integrated into consumers' day to day lives than ever, consumers will realize the tangible impact of poor security and demand stronger security measures.
Nils Puhlmann
Chief Trust and Security Officer, Twilio


Demand for IoT-specific talent will increase as Internet communications becomes a bonafide specialization for embedded engineers, and device data more frequently crosses paths with mobile user experiences. Expect to see more IoT-specific university courses and professional-level online training.
Evan Cummack
Head of IoT, Twilio

Read 2019 Network Performance Management Predictions

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