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Proactive Middleware Monitoring: How It Keeps Business Humming

It’s no surprise that as businesses grow and take on more orders, their transaction processing demands grow. And it might not be surprising that the process to monitor and ensure the smooth operation of the applications that manage those transactions becomes more difficult. Without effective and operational transaction processing, day-to-day business will come to a screeching halt. The applications that ensure this don’t communicate with each other through middleware. What you might not realize, however, is that enterprises need to pay as much attention to keeping their middleware running smoothly as they do to their applications.

Middleware is computer software that interconnects applications. It consists of a set of services that allow multiple processes running on one or more machines to interact. Essentially, it connects two or more applications that need to exchange data. Common middleware types include: J2EE, messaging, .NET, CICS and the new cloud messaging technologies.

Key to success in handling this business growth is the ability to ensure that the ever-growing transaction load is processed rapidly, thus avoiding customer attrition or regulatory penalties. This, in turn, means an ongoing effort to reduce latency and improve performance.

Low-latency middleware monitoring is particularly difficult as the tolerances are low and the risk of negatively affecting performance through measurement is high. In addition, the resources necessary to handle the load in a global environment are not uniform. Demand may increase in the US, decrease in northern Europe and increase in Asia Pacific, for example, and then suddenly change again.

Scaling up the hardware in every location is not cost effective. In fact, it is cost prohibitive. The solution to this is elasticity. This means having the capability to handle changing loads; grow when the load increases and correspondingly shrink when it is not needed. Using today’s cloud-based infrastructure, a shared pool of resources can provision the necessary computer processing power and middleware throughput when needed and de-provision it, so it can be used by other locations when it is no longer needed.

To achieve the lowest latency, organizations can augment existing middleware software with network-based middleware appliances when managing business processes via cloud architecture. However, organizations may face a number of issues in order to effectively deliver their service to the enterprise. Such issues include: business growth, additional regulation, a requirement for consolidation and mobility of applications. Another alternative to help address these core issues is the usage of SaaS for cloud based middleware. This can be especially helpful in connecting the edges of the enterprise such as headquarters, branch offices and trading partners.

Often, organizations employ several different monitoring tools for their middleware estate that are not integrated into one central system. This setup makes it difficult for IT to come to actionable, early warning conclusions about application availability and performance as they only see a partial view of the enterprise environment. Integrated middleware monitoring allows organizations to better manage its low-latency processes, turning the unknown into a competitive advantage.

These same enterprises utilize different tools for diagnostics during the QA and user acceptance testing (UAT) stages of the application lifecycle. This is problematic when we look at how much time QA spends trying to reproduce production problems. With a different set of tooling this becomes quite difficult. Standardizing on the same tooling for QA diagnostics and production can help reduce the cost to release new versions of applications and their support costs.

Solutions for Circumventing Hang Ups

In order for organizations to best bring all their issues into clearer view, they need one monitoring/diagnostic solution that proactively identifies these issues. To handle the “good problem” of business growth, organizations can utilize an active data grid to transparently share resources in their private cloud. Instead of constantly installing “fat clients” when users needed access, they can be provided with a web dashboard.

Consolidation can be handled via one monitoring system that proactively monitors applications. Subsuming information feeds from existing tools creates a single point of control for all middleware, resulting in reduced costs for management and resolution of problems.

The requirement to support mobility can now be handled by the elasticity of the middleware solution delivered by new appliances. And in kind, the new monitoring solution will scale elastically to handle the changing loads.

Lessons Learned

For middleware monitoring to provide real world business benefits, it needs to be proactive and identify problems before users are affected and business processes are disrupted. In fact, it should provide a closed-loop methodology for managing known problems and preventing the impact of their reoccurrence. This is considered a cycle for continuous monitoring improvement and is one of the most effective ways to improve productivity and reduce the cost of ITIL problem management.

Competitive Advantages

Fast performance with minimal latency and maximum reliability is increasingly touted as a competitive advantage for firms that manage fund transfers and other financial processes.
Firms like those that embrace global middleware monitoring can tout their ability to offer minimal latency and maximum reliability while maintaining the exponentially rising flow of data across multiple interrelated applications.

Organizations that utilize monitoring are better equipped to interact with the biggest and most demanding customers and juggle the dynamic changes in load that a private cloud infrastructure makes possible. Performance not only saves cash but also makes money. The business with the least latency in its financial process wins. Organizations that provide the highest levels of service to their customers retain them. Plus, higher levels of service and the available resources to create new ones will attract additional business.

About Charley Rich

Charley Rich, Vice President of Product Management and Marketing at Nastel, is a software product management professional who brings over 27 years of technical hands-on experience working with large-scale customers to meet their application and systems management requirements. Earlier in his career he held positions as Director of Strategy and Planning and later Vice President of Field Marketing for eCommerce firm InterWorld. Charley is a sought after technical speaker and a published author.

Related Links:

www.nastel.com

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Proactive Middleware Monitoring: How It Keeps Business Humming

It’s no surprise that as businesses grow and take on more orders, their transaction processing demands grow. And it might not be surprising that the process to monitor and ensure the smooth operation of the applications that manage those transactions becomes more difficult. Without effective and operational transaction processing, day-to-day business will come to a screeching halt. The applications that ensure this don’t communicate with each other through middleware. What you might not realize, however, is that enterprises need to pay as much attention to keeping their middleware running smoothly as they do to their applications.

Middleware is computer software that interconnects applications. It consists of a set of services that allow multiple processes running on one or more machines to interact. Essentially, it connects two or more applications that need to exchange data. Common middleware types include: J2EE, messaging, .NET, CICS and the new cloud messaging technologies.

Key to success in handling this business growth is the ability to ensure that the ever-growing transaction load is processed rapidly, thus avoiding customer attrition or regulatory penalties. This, in turn, means an ongoing effort to reduce latency and improve performance.

Low-latency middleware monitoring is particularly difficult as the tolerances are low and the risk of negatively affecting performance through measurement is high. In addition, the resources necessary to handle the load in a global environment are not uniform. Demand may increase in the US, decrease in northern Europe and increase in Asia Pacific, for example, and then suddenly change again.

Scaling up the hardware in every location is not cost effective. In fact, it is cost prohibitive. The solution to this is elasticity. This means having the capability to handle changing loads; grow when the load increases and correspondingly shrink when it is not needed. Using today’s cloud-based infrastructure, a shared pool of resources can provision the necessary computer processing power and middleware throughput when needed and de-provision it, so it can be used by other locations when it is no longer needed.

To achieve the lowest latency, organizations can augment existing middleware software with network-based middleware appliances when managing business processes via cloud architecture. However, organizations may face a number of issues in order to effectively deliver their service to the enterprise. Such issues include: business growth, additional regulation, a requirement for consolidation and mobility of applications. Another alternative to help address these core issues is the usage of SaaS for cloud based middleware. This can be especially helpful in connecting the edges of the enterprise such as headquarters, branch offices and trading partners.

Often, organizations employ several different monitoring tools for their middleware estate that are not integrated into one central system. This setup makes it difficult for IT to come to actionable, early warning conclusions about application availability and performance as they only see a partial view of the enterprise environment. Integrated middleware monitoring allows organizations to better manage its low-latency processes, turning the unknown into a competitive advantage.

These same enterprises utilize different tools for diagnostics during the QA and user acceptance testing (UAT) stages of the application lifecycle. This is problematic when we look at how much time QA spends trying to reproduce production problems. With a different set of tooling this becomes quite difficult. Standardizing on the same tooling for QA diagnostics and production can help reduce the cost to release new versions of applications and their support costs.

Solutions for Circumventing Hang Ups

In order for organizations to best bring all their issues into clearer view, they need one monitoring/diagnostic solution that proactively identifies these issues. To handle the “good problem” of business growth, organizations can utilize an active data grid to transparently share resources in their private cloud. Instead of constantly installing “fat clients” when users needed access, they can be provided with a web dashboard.

Consolidation can be handled via one monitoring system that proactively monitors applications. Subsuming information feeds from existing tools creates a single point of control for all middleware, resulting in reduced costs for management and resolution of problems.

The requirement to support mobility can now be handled by the elasticity of the middleware solution delivered by new appliances. And in kind, the new monitoring solution will scale elastically to handle the changing loads.

Lessons Learned

For middleware monitoring to provide real world business benefits, it needs to be proactive and identify problems before users are affected and business processes are disrupted. In fact, it should provide a closed-loop methodology for managing known problems and preventing the impact of their reoccurrence. This is considered a cycle for continuous monitoring improvement and is one of the most effective ways to improve productivity and reduce the cost of ITIL problem management.

Competitive Advantages

Fast performance with minimal latency and maximum reliability is increasingly touted as a competitive advantage for firms that manage fund transfers and other financial processes.
Firms like those that embrace global middleware monitoring can tout their ability to offer minimal latency and maximum reliability while maintaining the exponentially rising flow of data across multiple interrelated applications.

Organizations that utilize monitoring are better equipped to interact with the biggest and most demanding customers and juggle the dynamic changes in load that a private cloud infrastructure makes possible. Performance not only saves cash but also makes money. The business with the least latency in its financial process wins. Organizations that provide the highest levels of service to their customers retain them. Plus, higher levels of service and the available resources to create new ones will attract additional business.

About Charley Rich

Charley Rich, Vice President of Product Management and Marketing at Nastel, is a software product management professional who brings over 27 years of technical hands-on experience working with large-scale customers to meet their application and systems management requirements. Earlier in his career he held positions as Director of Strategy and Planning and later Vice President of Field Marketing for eCommerce firm InterWorld. Charley is a sought after technical speaker and a published author.

Related Links:

www.nastel.com

Hot Topics

The Latest

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...