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5 Predictions for Application Performance Management in 2016

Srinivas Ramanathan

One can safely say that Application Performance Management (APM) will grow even further in importance in 2016 as businesses turn to application software to operate their key internal and external processes. But we can also expect some changes in the focus of APM purchasers and software vendors in 2016:

1. End User Experience Monitoring

End User Experience Monitoring is important but not necessarily the only thing that APM must focus on and be measured by. Because so many key internal businesses processes are run by software – e.g., day-end reconciliation, backend order fulfilment, chargeback and inventory tracking, etc., – failure or slowdown of these services is business-affecting. So far, end-user response time has been regarded as the defining measure of an online businesses' performance and thus the foundational APM requirement. But the performance of key business processes will ultimately affect user experience, so tracking these processes proactively and detecting issues before users are affected will grow as a primary requirement.

2. Transaction Tracing

Transaction tracing is important for rapid application performance problem diagnosis, but is not sufficient by itself for successful APM. Transaction tracing – i.e., the ability to watch a transaction through all its processing stages and determining which stage is responsible for slowdowns – is a key part of APM, so much so that in the recent years, transaction tracing and APM are virtually synonymous. While transaction tracing is a key for good APM, it is not the only requirement for APM. For example, if there is a slowdown of the backend database, all transactions will highlight slowness for database queries, but this is not very helpful in determining where a problem lies. Automating route cause analysis is outside of the purview of transaction tracing but it is a critical function, so must be addressed either separately, or better, holistically.

3. Deep-Dive Visibility

Transaction visibility must be augmented with deep-dive visibility into every tier of the underlying infrastructure. Troubleshooting performance issues requires extensive expertise about each and every tier of the infrastructure. Enabling performance diagnosis to be accomplished easily and with minimal human intervention requires a great deal of automation. APM tools must augment user experience monitoring and transaction tracing with in-depth insights and domain expertise inside every layer and every tier of the infrastructure. Additionally, these tools should be easy to set up and use, to help remove potential barriers to adoption.

4. Virtualization and Cloud

APM tools must become virtualization and cloud-aware. Virtualization and cloud computing cannot be looked at as yet another infrastructure silo. Performance issues in the virtualization or cloud computing tier affects application performance. Hence, APM tools must discover and correlate virtualization performance with that of the individual application component tiers.

5. Collaborative Management

Organizations will move to collaborative management from silo management. Given the number of tiers that an application cuts across, it will no longer be practical to have individual administrators focus on just the tiers of the infrastructure they operate and control. For the application has to support the business well, the entire application operations team must function as a cohesive unit. Application performance issues will be correlated across the different tiers of the infrastructure so that problems can be resolved quickly. This requires unified and correlated visibility into the entire infrastructure, which APM tools will provide. Development and operations will standardize on the same tool sets so problems detected by operations can be rapidly remediated by the exact development or operations area from which a performance issue is originating.

Srinivas Ramanathan is CEO and Founder of eG Innovations.

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5 Predictions for Application Performance Management in 2016

Srinivas Ramanathan

One can safely say that Application Performance Management (APM) will grow even further in importance in 2016 as businesses turn to application software to operate their key internal and external processes. But we can also expect some changes in the focus of APM purchasers and software vendors in 2016:

1. End User Experience Monitoring

End User Experience Monitoring is important but not necessarily the only thing that APM must focus on and be measured by. Because so many key internal businesses processes are run by software – e.g., day-end reconciliation, backend order fulfilment, chargeback and inventory tracking, etc., – failure or slowdown of these services is business-affecting. So far, end-user response time has been regarded as the defining measure of an online businesses' performance and thus the foundational APM requirement. But the performance of key business processes will ultimately affect user experience, so tracking these processes proactively and detecting issues before users are affected will grow as a primary requirement.

2. Transaction Tracing

Transaction tracing is important for rapid application performance problem diagnosis, but is not sufficient by itself for successful APM. Transaction tracing – i.e., the ability to watch a transaction through all its processing stages and determining which stage is responsible for slowdowns – is a key part of APM, so much so that in the recent years, transaction tracing and APM are virtually synonymous. While transaction tracing is a key for good APM, it is not the only requirement for APM. For example, if there is a slowdown of the backend database, all transactions will highlight slowness for database queries, but this is not very helpful in determining where a problem lies. Automating route cause analysis is outside of the purview of transaction tracing but it is a critical function, so must be addressed either separately, or better, holistically.

3. Deep-Dive Visibility

Transaction visibility must be augmented with deep-dive visibility into every tier of the underlying infrastructure. Troubleshooting performance issues requires extensive expertise about each and every tier of the infrastructure. Enabling performance diagnosis to be accomplished easily and with minimal human intervention requires a great deal of automation. APM tools must augment user experience monitoring and transaction tracing with in-depth insights and domain expertise inside every layer and every tier of the infrastructure. Additionally, these tools should be easy to set up and use, to help remove potential barriers to adoption.

4. Virtualization and Cloud

APM tools must become virtualization and cloud-aware. Virtualization and cloud computing cannot be looked at as yet another infrastructure silo. Performance issues in the virtualization or cloud computing tier affects application performance. Hence, APM tools must discover and correlate virtualization performance with that of the individual application component tiers.

5. Collaborative Management

Organizations will move to collaborative management from silo management. Given the number of tiers that an application cuts across, it will no longer be practical to have individual administrators focus on just the tiers of the infrastructure they operate and control. For the application has to support the business well, the entire application operations team must function as a cohesive unit. Application performance issues will be correlated across the different tiers of the infrastructure so that problems can be resolved quickly. This requires unified and correlated visibility into the entire infrastructure, which APM tools will provide. Development and operations will standardize on the same tool sets so problems detected by operations can be rapidly remediated by the exact development or operations area from which a performance issue is originating.

Srinivas Ramanathan is CEO and Founder of eG Innovations.

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Today's enterprises exist in rapidly growing, complex IT landscapes that can inadvertently create silos and lead to the accumulation of disparate tools. To successfully manage such growth, these organizations must realize the requisite shift in corporate culture and workflow management needed to build trust in new technologies. This is particularly true in cases where enterprises are turning to automation and autonomic IT to offload the burden from IT professionals. This interplay between technology and culture is crucial in guiding teams using AIOps and observability solutions to proactively manage operations and transition toward a machine-driven IT ecosystem ...

Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...

Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...

A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...

What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

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There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

Image
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IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

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Chrome