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AANPM: When the NMS is Not Enough

Application Aware Network Performance Management Offers A new approach to network monitoring
Bruce Kosbab

Organizations are becoming increasingly dependent on the performance of their critical business applications. These are continually developing to meet the changing needs of the business; new applications are created, new users and features added and new ways of accessing the applications introduced, such as BYOD.

However, no technology changes come without a price, and today’s complex applications put an increasing strain on the organization’s network and server infrastructure. Furthermore, user expectations of rapid response times mean that the network infrastructure is no longer just the "plumbing". It supports business-critical applications, provides the data on which decisions are made and facilitates communications with customers, partners, suppliers and co-workers, making it a strategic asset to the business. Any downtime or degradation in network or application performance will directly impact an organization’s bottom line.

Historically the network has been considered as a separate, well-defined entity, making it relatively straightforward to write tools to understand and analyze its performance. These fall into two categories: Network Management Systems (NMS) and packet capture and analysis tools.

Most NMS have been infrastructure focused, addressing device monitoring, capacity planning, configuration management, fault management, analysis of interface traffic etc. and ignoring the applications and data traversing the network. They do not perform analytics on application response time, TCP errors and other issues that impact applications.

Application Performance Management (APM) systems typically support auto-discovery of all the applications in the network, providing transaction analysis, application usage analysis, end-user experience analysis, user-defined transaction profiling and the basic functions to monitor the health and performance of all configured application infrastructure assets. However, if an application is running slowly they find it difficult to identify if the problem is application or network based.

Whereas separate systems were once sufficient to stay on top of problems, the increased interdependency of network and applications and cost of downtime means it is no longer enough to use a discrete tool and say "it’s not the network" or "my servers are fine". These tools are not designed to manage the interplay between network and applications environments, which needs to be understood and managed to optimize the user experience.

IT teams need to work together using correlated data to find the root cause and solve issues quickly before they impact the business.

Leveraging Application and Network Performance Methodologies

They require complete visibility of the network across all layers, from the data center to the branch office. The solution is AANPM: Application Aware Network Performance Management. AANPM is a method of monitoring, analyzing and troubleshooting both networks and applications. It takes an application-centric view of everything happening across the network, providing end-to-end visibility of the network and applications and their interdependencies, and enabling engineers to monitor and optimize the end user experience. It does not look at applications from a coding perspective, but in terms of how they are deployed and how they are performing.

By leveraging data points from both application and network performance methodologies, AANPM helps all branches of IT work together to ensure optimal performance of applications and network.

AANPM offers specific, tangible business benefits:

• End-to-end infrastructure visibility

• Faster problem-solving

• Improved user experience

• Enhanced productivity

• Cost savings

• Improved infrastructure optimization

• Better business understanding of IT

Bruce Kosbab is CTO of Fluke Networks.

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AANPM: When the NMS is Not Enough

Application Aware Network Performance Management Offers A new approach to network monitoring
Bruce Kosbab

Organizations are becoming increasingly dependent on the performance of their critical business applications. These are continually developing to meet the changing needs of the business; new applications are created, new users and features added and new ways of accessing the applications introduced, such as BYOD.

However, no technology changes come without a price, and today’s complex applications put an increasing strain on the organization’s network and server infrastructure. Furthermore, user expectations of rapid response times mean that the network infrastructure is no longer just the "plumbing". It supports business-critical applications, provides the data on which decisions are made and facilitates communications with customers, partners, suppliers and co-workers, making it a strategic asset to the business. Any downtime or degradation in network or application performance will directly impact an organization’s bottom line.

Historically the network has been considered as a separate, well-defined entity, making it relatively straightforward to write tools to understand and analyze its performance. These fall into two categories: Network Management Systems (NMS) and packet capture and analysis tools.

Most NMS have been infrastructure focused, addressing device monitoring, capacity planning, configuration management, fault management, analysis of interface traffic etc. and ignoring the applications and data traversing the network. They do not perform analytics on application response time, TCP errors and other issues that impact applications.

Application Performance Management (APM) systems typically support auto-discovery of all the applications in the network, providing transaction analysis, application usage analysis, end-user experience analysis, user-defined transaction profiling and the basic functions to monitor the health and performance of all configured application infrastructure assets. However, if an application is running slowly they find it difficult to identify if the problem is application or network based.

Whereas separate systems were once sufficient to stay on top of problems, the increased interdependency of network and applications and cost of downtime means it is no longer enough to use a discrete tool and say "it’s not the network" or "my servers are fine". These tools are not designed to manage the interplay between network and applications environments, which needs to be understood and managed to optimize the user experience.

IT teams need to work together using correlated data to find the root cause and solve issues quickly before they impact the business.

Leveraging Application and Network Performance Methodologies

They require complete visibility of the network across all layers, from the data center to the branch office. The solution is AANPM: Application Aware Network Performance Management. AANPM is a method of monitoring, analyzing and troubleshooting both networks and applications. It takes an application-centric view of everything happening across the network, providing end-to-end visibility of the network and applications and their interdependencies, and enabling engineers to monitor and optimize the end user experience. It does not look at applications from a coding perspective, but in terms of how they are deployed and how they are performing.

By leveraging data points from both application and network performance methodologies, AANPM helps all branches of IT work together to ensure optimal performance of applications and network.

AANPM offers specific, tangible business benefits:

• End-to-end infrastructure visibility

• Faster problem-solving

• Improved user experience

• Enhanced productivity

• Cost savings

• Improved infrastructure optimization

• Better business understanding of IT

Bruce Kosbab is CTO of Fluke Networks.

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AI continues to be the top story across the industry, but a big test is coming up as retailers make the final preparations before the holiday season starts. Will new AI powered features help load up Santa's sleigh this year? Or are early adopters in for unpleasant surprises in the form of unexpected high costs, poor performance, or even service outages? ...

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Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

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