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IoT Ultimate Test for APM

Monitoring Infinite Microservices Demands New Approach to APM
Jeffrey Kaplan

Last December, my APMdigest prediction for 2015 was,

"The advent of the “Internet of Things” (IoT) will elevate the importance of implementing powerful, easy-to-use and cost-effective APM (Application Performance Management) solutions as a rapidly expanding universe of end-points are connected by software-enabled sensors and systems. The new generation of APM solutions will have to contend with an exponentially greater number of connections, transactions and data points. The APM solutions will also have to span Cloud and on-premise applications which will be linked together in the IoT environment. The task of implementing and administering the APM solutions will increasingly be performed by highly specialized, third-party service providers."

Less than halfway through the new year and we're seeing the market activity around IoT opportunities accelerate. Not only are the number of 'things' currently and expected to be connected growing exponentially, but the types of business processes being impacted by IoT deployments is also expanding rapidly. Because of all our connected devices, there are already far more 'things' communicating via the web than there are people. And, Cisco Systems expects the number of Internet-connected things will reach 50 billion by 2020, and these connected products and services could generate $19 trillion in profits and cost savings over the next decade.

While there are plenty of industry forecasts projecting hyper-growth of the IoT market, Cisco's forecasts are sufficient to clearly show that APM players and users are going to be severely tested by this unprecedented surge in connected things. More important than the extraordinary number of things being connected are the growing number and widening assortment of business applications which will be impacted. This combination significantly escalates the scale and complexity of the APM challenge.

With the explosive growth of "wearables", software-enabled sensors are being used by people for fitness, fashion and health-related reasons that all demand reliable application performance. They are also being deployed in an infinite array of 'things', including cattle and crops in addition to every imaginable consumer and commercial product, service and location.

Rather than monitor relatively stable enterprise applications or typical web applications to support specific business functions, a common IoT deployment might entail monitoring many inter-related applications which impact a series of business processes.

For instance, a sensor on a remote device will have software commands to monitor and report activity that could be transmitted to a service management system and trigger a service call. The alert could initiate a request for replacement material that is controlled by an inventory management system and lead to the dispatch of a service agent guided by a logistics system. It could also be imported into a CRM, ERP or other enterprise app to ensure sales, finance and other departments are aware of the customer status. The information could also be used to redesign the product and services to make them more reliable and improve customer satisfaction or corporate efficiency.

Measuring application performance across the IoT supply-chain of multivendor software elements is the new APM challenge. And, reporting the APM data to a broader set of interested parties - executives, end-users, customers and partners - will compound the challenge.

Jeffrey Kaplan is the Managing Director of THINKstrategies and Founder of the Cloud Computing Showplace.

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Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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Azul

IoT Ultimate Test for APM

Monitoring Infinite Microservices Demands New Approach to APM
Jeffrey Kaplan

Last December, my APMdigest prediction for 2015 was,

"The advent of the “Internet of Things” (IoT) will elevate the importance of implementing powerful, easy-to-use and cost-effective APM (Application Performance Management) solutions as a rapidly expanding universe of end-points are connected by software-enabled sensors and systems. The new generation of APM solutions will have to contend with an exponentially greater number of connections, transactions and data points. The APM solutions will also have to span Cloud and on-premise applications which will be linked together in the IoT environment. The task of implementing and administering the APM solutions will increasingly be performed by highly specialized, third-party service providers."

Less than halfway through the new year and we're seeing the market activity around IoT opportunities accelerate. Not only are the number of 'things' currently and expected to be connected growing exponentially, but the types of business processes being impacted by IoT deployments is also expanding rapidly. Because of all our connected devices, there are already far more 'things' communicating via the web than there are people. And, Cisco Systems expects the number of Internet-connected things will reach 50 billion by 2020, and these connected products and services could generate $19 trillion in profits and cost savings over the next decade.

While there are plenty of industry forecasts projecting hyper-growth of the IoT market, Cisco's forecasts are sufficient to clearly show that APM players and users are going to be severely tested by this unprecedented surge in connected things. More important than the extraordinary number of things being connected are the growing number and widening assortment of business applications which will be impacted. This combination significantly escalates the scale and complexity of the APM challenge.

With the explosive growth of "wearables", software-enabled sensors are being used by people for fitness, fashion and health-related reasons that all demand reliable application performance. They are also being deployed in an infinite array of 'things', including cattle and crops in addition to every imaginable consumer and commercial product, service and location.

Rather than monitor relatively stable enterprise applications or typical web applications to support specific business functions, a common IoT deployment might entail monitoring many inter-related applications which impact a series of business processes.

For instance, a sensor on a remote device will have software commands to monitor and report activity that could be transmitted to a service management system and trigger a service call. The alert could initiate a request for replacement material that is controlled by an inventory management system and lead to the dispatch of a service agent guided by a logistics system. It could also be imported into a CRM, ERP or other enterprise app to ensure sales, finance and other departments are aware of the customer status. The information could also be used to redesign the product and services to make them more reliable and improve customer satisfaction or corporate efficiency.

Measuring application performance across the IoT supply-chain of multivendor software elements is the new APM challenge. And, reporting the APM data to a broader set of interested parties - executives, end-users, customers and partners - will compound the challenge.

Jeffrey Kaplan is the Managing Director of THINKstrategies and Founder of the Cloud Computing Showplace.

Hot Topics

The Latest

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 ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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Azul