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How to Ensure APM Success

Keith Bromley

A recent APMdigest blog by Jean Tunis, The Evolving Needs of Application Performance Monitoring - Part 2, provided an excellent background on Application Performance Monitoring (APM) and what it does. APM solution benefits are much more understood than in years past. An interesting data point from Gartner Inc. mentioned in the article confirms this, stating that IT departments are planning to increase the use of APM solutions to monitor their applications from 5% in 2018 to a projected 20% in 2021.

A further topic that I wanted to touch on though is the need for good quality data. If you are to get the most out of your APM solution possible, you will need to feed it with the best quality data. Irrelevant data, fragmented data, and corrupt data are all common culprits that either end up decreasing the speed to resolution, or prevent problem resolution altogether, by APM solutions.

There are two easy activities you can conduct to increase the quality of the input data to your APM tool. First, install taps to collect monitoring data. Taps can be installed anywhere across your network. This lets you collect ingress/egress traffic to your network, data to/from remote branch offices, and data from anywhere across the network that you think might be experiencing some sort of issue.

Taps deliver the ultimate experience in flexibility. In contrast, SPAN and mirroring ports off of your Layer 2 and 3 switches do not have that same flexibility. For instance, placing switches all over your network to capture data is unnecessary and expensive. In addition, mirroring ports can drop data, especially in CPU overload situations. When it comes to troubleshooting and performance monitoring, you need every piece of relevant data, not just portions of relevant data.

Secondly, you need to deploy a network packet broker (NPB) in your network. The function of the NPB is to aggregate monitoring data from across your network, filter that data based upon the criteria you are looking for, and remove unnecessary, duplicate copies of the data. Once this is accomplished, the NPB forwards the data onto your APM solution. The NPB may reduce the traffic sent to your APM solution by 50% or more; making your APM solution that much more effective and potentially reduce your future APM tool costs.

Something else to consider is that the tap and NPB concept can be used in cloud solutions as well. This means you can deploy the concept for both physical on-premises and virtual network. This is especially important for hybrid cloud (mixture of physical on-premises and public/private cloud) scenarios that are prevalent in today’s enterprise networks. This mixture of different network types can be a significant problem that is easily remedied with a tap, virtual tap, and NPB approach.

In the end, APM solutions are a critical component to troubleshooting and performance monitoring, but you need to make sure that the APM solution is getting the right data.

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How to Ensure APM Success

Keith Bromley

A recent APMdigest blog by Jean Tunis, The Evolving Needs of Application Performance Monitoring - Part 2, provided an excellent background on Application Performance Monitoring (APM) and what it does. APM solution benefits are much more understood than in years past. An interesting data point from Gartner Inc. mentioned in the article confirms this, stating that IT departments are planning to increase the use of APM solutions to monitor their applications from 5% in 2018 to a projected 20% in 2021.

A further topic that I wanted to touch on though is the need for good quality data. If you are to get the most out of your APM solution possible, you will need to feed it with the best quality data. Irrelevant data, fragmented data, and corrupt data are all common culprits that either end up decreasing the speed to resolution, or prevent problem resolution altogether, by APM solutions.

There are two easy activities you can conduct to increase the quality of the input data to your APM tool. First, install taps to collect monitoring data. Taps can be installed anywhere across your network. This lets you collect ingress/egress traffic to your network, data to/from remote branch offices, and data from anywhere across the network that you think might be experiencing some sort of issue.

Taps deliver the ultimate experience in flexibility. In contrast, SPAN and mirroring ports off of your Layer 2 and 3 switches do not have that same flexibility. For instance, placing switches all over your network to capture data is unnecessary and expensive. In addition, mirroring ports can drop data, especially in CPU overload situations. When it comes to troubleshooting and performance monitoring, you need every piece of relevant data, not just portions of relevant data.

Secondly, you need to deploy a network packet broker (NPB) in your network. The function of the NPB is to aggregate monitoring data from across your network, filter that data based upon the criteria you are looking for, and remove unnecessary, duplicate copies of the data. Once this is accomplished, the NPB forwards the data onto your APM solution. The NPB may reduce the traffic sent to your APM solution by 50% or more; making your APM solution that much more effective and potentially reduce your future APM tool costs.

Something else to consider is that the tap and NPB concept can be used in cloud solutions as well. This means you can deploy the concept for both physical on-premises and virtual network. This is especially important for hybrid cloud (mixture of physical on-premises and public/private cloud) scenarios that are prevalent in today’s enterprise networks. This mixture of different network types can be a significant problem that is easily remedied with a tap, virtual tap, and NPB approach.

In the end, APM solutions are a critical component to troubleshooting and performance monitoring, but you need to make sure that the APM solution is getting the right data.

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...