Top Recommendations to Ensure Performance for the IoT - Part 1
November 15, 2016
Share this

Gartner says: "By 2020, 21 billion of Internet of Things (IoT) devices will be in use worldwide."

"IoT is a growing concept in terms of exposure and implementation," explained John Myers, Managing Research Director for Business Intelligence at Enterprise Management Associates (EMA), in The Rise of IoT. "There are new estimates for the number of linked devices almost every quarter. Some of these estimates go as far as to say that within five years, there will be nearly 40 billion connected devices around the globe."

"Within the next few years billions of smart devices will be communicating and sharing important data on just about everything – healthcare, manufacturing, financial services, food processing, environmental science, lifestyles, and more," added Ron Lifton, Senior Enterprise Solutions Marketing Manager, NetScout.

The IoT is in position to become one of the greatest application performance management challenges faced by IT. The potential number of connected devices, the massive amount of data these devices will generate, and the growing complexity of the infrastructure all compound this challenge.

"As more business and industrial applications are created, more devices are being connected, forcing IT systems to handle greater volumes of data," confirms Ross Garrett, Director Product Marketing at Push Technology in a recent blog on APMdigest. "And more importantly, these connected systems don't have the same tolerance or understanding for tardiness their human counterparts do. Performance – no matter the number of connections, volume of data, distance to travel, or network capability – is critical, and that's the dilemma facing many enterprise architects and systems integrators."

With this challenge in mind, APMdigest asked experts across the industry – including analysts, consultants and vendors – for their recommendations on how to ensure performance for IoT applications. APMdigest will post the in-depth list of expert recommendations over the next four days. Part 1 covers visibility and Application Performance Management.

1. COMPREHENSIVE VISIBILITY

In terms of application performance for the IoT, we recommend that organizations focus their IT efforts on the visibility of all connected devices and the elements with which they are interacting in the IT network. Without full visibility of the entire network, it is impossible to understand interdependencies and impact on performance, and therefore not feasible to meet this new challenge.
Zvika Meiseles
CTO, Correlsense

The sheer surface area of an IoT infrastructure means that the lines blur between security of the infrastructure and performance of IoT applications. The common denominator that ensures maximum security of the IoT infrastructure and performance of the IoT applications is visibility into any data-in-motion between the different elements involved in an IoT deployment.
Ananda Rajagopal
VP, Product Management, Gigamon

2. UNDERSTAND DEPENDENCIES

The key to assuring performance is by understanding all application and service dependencies across the IoT infrastructure so when a problem occurs, it can quickly be identified. IoT performance is dependent on gaining unrestricted operational visibility to identify potential problems from the edge into the cloud and data centers. If the IT organization achieves that, then they can confidently navigate through IoT changes and help reduce business risk.
Ron Lifton
Senior Enterprise Solutions Manager, NetScout

3. MONITOR CONNECTION POINTS BETWEEN TECHNOLOGIES

IoT is about data collection for multiple use cases, but most IoT solutions rely on existing and legacy components as well whether it be IT or OT. Having consistent data collection across technologies is a challenge. Showing the interconnection points between technologies and how each is performing is key in order to isolate performance issues.
Jonah Kowall
VP of Market Development and Insights, AppDynamics

4. APPLICATION PERFORMANCE MANAGEMENT (APM)

Since IoT started gaining traction among enterprises, IT teams have had to deal with an additional layer of complexity on top of the existing management challenges. As enterprises bring more connected devices online, IT has to deal with a large number of devices as well as the massive amounts of data that stream into their big data stores. Ensuring performance of IoT applications can be a cumbersome manual process, one that leaves performance blind spots and gaps in visibility. To address this performance challenge, enterprise IT teams should implement proactive application performance monitoring to gain end-to-end visibility into their distributed applications and the underlying infrastructure. They should understand the dependencies between the different application components and the transactions that flow through it. With the help of performance data collected, IT teams can quickly identify the root cause of application performance bottlenecks, and fix them before users are affected.
Arun Balachandran
Applications Manager Market Analyst, ManageEngine

Traditionally, APM solutions have been very adept at identifying approaching thresholds and bottlenecks in other critical systems. Similarly, ensuring strong performance for IoT depends on the ability to automatically detect and pre-empt performance issues in the systems and applications supporting IoT.
Mehdi Daoudi
CEO and Founder, Catchpoint

5. NEXT-GEN APM

Every new IoT device that connects to the Internet at the frontend, will have an impact on the network and also the hardware at the backend. Therefore, it is essential for Application Performance Management solutions to keep up! This will be extremely critical because its still early in the development and innovation stages of IoT. Who can predict the expansion, connectivity, layers and technology for IoT over in the next 3 - 5 years? Therein lies the challenge for APM!
Hayden James
Linux Systems Analyst, haydenjames.io

6. SEAMLESS INTEGRATION OF KEY COMPONENTS

From looking at comments and conversations on IT Central Station, I've noticed that IT professionals have broken down the key components of IoT into 5 components: the UI/UX Layer, Data Processing or Analytics, Connectivity, Sensors Layer, and the Embedded Systems processor. In order to ensure performance for the IoT, it is critical that each of these components work together harmoniously. Users seem particularly interested in the ability to automate each of these key components, but the critical point is that they seamlessly work together.
Russell Rothstein
Founder and CEO, IT Central Station

Read Top Recommendations to Ensure Performance for the IoT - Part 2, covering data and analytics.

Share this

The Latest

June 22, 2017

Executives in the US and Europe now place broad trust in Artificial Intelligence (AI) and machine learning systems, designed to protect organizations from more dynamic pernicious cyber threats, according to Radware's 2017 Executive Application & Network Security Survey ....

June 21, 2017

While IT service management (ITSM) has too often been viewed by the industry as an area of reactive management with fading process efficiencies and legacy concerns, a new study by Enterprise Management Associates (EMA) reveals that, in many organizations, ITSM is becoming a hub of innovation ...

June 20, 2017

Cloud is quickly becoming the new normal. The challenge for organizations is that increased cloud usage means increased complexity, often leading to a kind of infrastructure "blind spot." So how do companies break the blind spot and get back on track? ...

June 19, 2017

Hybrid IT is becoming a standard enterprise model, but there’s no single playbook to get there, according to a new report by Dimension Data entitled The Success Factors for Managing Hybrid IT ...

June 16, 2017

Any mobile app developer will tell you that one of the greatest challenges in monetizing their apps through video ads isn't finding the right demand or knowing when to run the videos; it's figuring out how to present video ads without slowing down their apps ...

June 15, 2017

40 percent of UK retail websites experience downtime during seasonal peaks, according to a recent study by Cogeco Peer 1 ...

June 14, 2017

Predictive analytics is a popular ITOA technology that you can leverage to improve your business by leaps and bounds. Predictive analytics analyzes relationships among various data points to predict behavioral trends, growth opportunities and risks, which can add critical value to your business. Here are a few questions to help you decide if predictive analytics is right for your business ...

June 13, 2017

Many organizations are at a tipping point, as new technology demands are set to outstrip the skills supply, according to a new Global Digital Transformation Skills Study by Brocade ...

June 12, 2017

Network capacity is the lifeblood of an enterprise — bandwidth enables business. Getting the most out of the network is a fine balancing act, so it's understandable that enterprises are always hungry for more bandwidth. Two out of three IT and network professionals expect bandwidth usage to increase by up to 50% by the end of 2017. However, bandwidth availability issues could become a thing of the past. We are on the cusp of a great surge of capacity as gigabit speed internet becomes a reality ...

June 09, 2017

Unified Communications (UC) applications such as VoIP and Video streaming have been around in the enterprise setting now for almost two decades. It's rather remarkable, then, that for all of their business benefits and popularity, UC applications still post so many headaches for network engineers. With that in mind, are there steps that network engineers can and should be taking to make these applications more reliable, and deliver better quality of service to their users? I believe there are, so let's take a look at some tips ...