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.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...