What is Network Visibility for APM and NPM?
October 26, 2017

Keith Bromley
Ixia

Share this

Most everyone in IT has heard about network performance monitoring (NPM) and application performance monitoring (APM) tools. But what are the real benefits? For instance, what kind of information do I really get and is it worth the investment? Also, what about the complexity involved with these types of solutions?

The answer boils down to implementation. Essentially, did you install a visibility architecture first (so that you can optimize the flow of information to APM and NPM tools), or did you just add point solutions for APM and NPM? This answer will determine the effectiveness of your application monitoring solutions.

Any performance monitoring solution is only as good as the quality of data feeding the tools

The visibility architecture concept is extremely important because it organizes the flow of information to security and monitoring tools. Without it, you don’t know what the quality and integrity of the input data to the tools is. A visibility architecture delivers an end-to-end infrastructure which enables physical and virtual network, application, and security visibility. Specifically, network packet brokers can be included in the architecture to parse the requisite data needed and distribute that data to one or more application monitoring tools.

Once the network packet brokers are installed, it makes it much easier for the APM and NPM solutions to optimize your performance. In addition to these tools, other capabilities, like application intelligence and proactive network monitoring, can be installed as part of the visibility architecture to further increase the range of capabilities.

Here are some example use cases of what you can accomplish when a visibility architecture is combined with performance monitoring tools:

■ NPM solutions can be used to improve the quality of service (QoS) on the network and optimize the network service level agreement (SLA) performance.

■ APM solutions can be used to improve quality of experience (QoE) and optimize SLA performance for network applications, i.e. capture data that can be used by an APM tool to observe and diagnose application slowness.

■ APM tools can be used to analyze user behaviors.

■ Application intelligence can be used to identify slow or underperforming applications and network bottlenecks.

■ Proactive monitoring can be used to provide better and faster network rollouts by pre-testing the network with synthetic traffic to understand how it performs against either specific application traffic or a combination of traffic types.

■ Proactive troubleshooting can be combined with application intelligence to help you more quickly anticipate where network and application problems may be coming from.

■ It is also possible to prevent applications from overloading the network bandwidth by using application intelligence to “see” application growth on the bandwidth in real-time and prevent catastrophic events.

■ You can also conduct inline network performance monitoring to optimize A/B traffic route flows (i.e. investigate path latency and performance problems)

In the end, any performance monitoring solution is only as good as the quality of data feeding the tools. Extraneous and duplicate data will affect the ability and speed of monitoring tools to come to an accurate analysis. A few minutes of time to understand your network visibility and the types of blind you have might be well worth it.

Keith Bromley is Senior Manager, Solutions Marketing at Ixia Solutions Group, a Keysight Technologies business
Share this

The Latest

October 15, 2018

Use of artificial intelligence (AI) in digital commerce is generally considered a success, according to a survey by Gartner, Inc. About 70 percent of digital commerce organizations surveyed report that their AI projects are very or extremely successful ...

October 12, 2018

Most organizations are adopting or considering adopting machine learning due to its benefits, rather than with the intention to cut people’s jobs, according to the Voice of the Enterprise (VoTE): AI & Machine Learning – Adoption, Drivers and Stakeholders 2018 survey conducted by 451 Research ...

October 11, 2018

AI (Artificial Intelligence) and ML (Machine Learning) are the number one strategic enterprise IT investment priority in 2018 (named by 33% of enterprises), taking the top spot from container management (28%), and clearly leaving behind DevOps pipeline automation (13%), according to new EMA research ...

October 09, 2018

Although Windows and Linux were historically viewed as competitors, modern IT advancements have ensured much needed network availability between these ecosystems for redundancy, fault tolerance, and competitive advantage. Software that offers intelligent availability enables the dynamic transfer of data and its processing to the best execution environment for any given purpose. That may be on-premises, in the cloud, in containers, in Windows, or in Linux ...

October 04, 2018

TEKsystems released the results of its 2018 Forecast Reality Check, measuring the current impact of market conditions on IT initiatives, hiring, salaries and skill needs. Here are some key results ...

October 02, 2018

Retailers that have readily adopted digital technologies have experienced a 6% CAGR revenue growth over a 3-year period, while other retailers that have explored digital without a full commitment to broad implementation experienced flat growth over the same period ...

October 01, 2018

As businesses look to capitalize on the benefits offered by the cloud, we've seen the rise of the DevOps practice which, in common with the cloud, offers businesses the advantages of greater agility, speed, quality and efficiency. However, achieving this agility requires end-to-end visibility based on continuous monitoring of the developed applications as part of the software development life cycle ...

September 28, 2018
I developed a Glossary, aimed at introducing topics and indicating where simple further reading can be found about the differences between CS and IT in their applicability to computing needs in today's workplace ...
September 27, 2018

I believe that in the UK and US there is a lack, nay absence, of pragmatic computing education which matches the needs of the current business world of information technology (IT) ...

September 26, 2018

Half (52%) of consumers worldwide are now using Internet of Things (IoT) devices, yet 64% of those have already encountered performance issues – according to a global survey of 10,000 consumers conducted by Dynatrace ...