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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

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 ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

Getting applications into the hands of those who need them quickly and securely has long been the goal of a branch of IT often referred to as End User Computing (EUC). Over recent years, the way applications (and data) have been delivered to these "users" has changed noticeably. Organizations have many more choices available to them now, and there will be more to come ... But how did we get here? Where are we going? Is this all too complicated? ...

On November 18, a single database permission change inside Cloudflare set off a chain of failures that rippled across the Internet. Traffic stalled. Authentication broke. Workers KV returned waves of 5xx errors as systems fell in and out of sync. For nearly three hours, one of the most resilient networks on the planet struggled under the weight of a change no one expected to matter ... Cloudflare recovered quickly, but the deeper lesson reaches far beyond this incident ...

Chris Steffen and Ken Buckler from EMA discuss the Cloudflare outage and what availability means in the technology space ...

Every modern industry is confronting the same challenge: human reaction time is no longer fast enough for real-time decision environments. Across sectors, from financial services to manufacturing to cybersecurity and beyond, the stakes mirror those of autonomous vehicles — systems operating in complex, high-risk environments where milliseconds matter ...