Mastering the operational complexity of IoT Applications The Internet of Things (IoT) is transforming how we do business and how we live Digital transformation and IoT are everywhere, including retail experiences and wearables, industrial and manufacturing applications, the connected home and smart cities. These trends are changing the world not only in terms of providing new user interfaces, but also by creating a completely new set of non-human touchpoints and multiplying them across any number of smart devices: home security systems, industrial sensors, televisions, and connected cars, to name a few. These two worlds are escalating together more tightly than ever before as the traditional environment of information technology and operational technology create the new ecosystem of IoT. Forrester Research identifies three main IoT business scenarios: Experience designers can embed Business-process owners at all A variety of business leaders can IoT sensors in products or companies can operate IoT-enabled consume third-party IoT data or environments to enable better assets to improve their operations insights to improve their operations customer experiences. and tie them closer to customer and offerings. journeys. Successful companies will leverage IoT to optimize their existing operations, differentiate their products and services, and transform entire markets through new offerings. (1) (1) “Untangle Your IoT Strategies, The Three IoT Scenarios And How They Drive Business Value”, by Frank E. Gillett, September 21, 2017, Forrester Research Challenges that IoT companies and developers face Massive complexity and scale Impact on business-critical systems Diverse data sources IoT ecosystems are complex, with In many cases IoT applications are IoT systems may include a wide variety many moving parts and huge amounts mission-critical, with a direct connection of edge devices, ranging from simple of data. Traditional or homegrown to a business process or user experience. sensors to full-blown Linux servers, monitoring approaches are not built for, Because poor performance or outages and everything in between. Monitoring and cannot scale, to access complete can have a direct impact on the bottom systems need to be flexible enough to insights into these dense environments. line, when issues occur, identification instrument and ingest data from all of and resolution of those issues needs to these device types. happen quickly, ideally proactively or in real time. ©2017 Dynatrace 3 Empowering artificial intelligence to address IoT challenges The Internet of Things (IoT) is an ecosystem of technology. This universe of technology – unified around IoT cloud platforms – collects a gold mine of operational data that can help businesses and developers overcome the IoT challenges by identifying performance issues and risks. The problem is that the sheer complexity of the environment, and volume of this data, is beyond human accessibility and capacity. But, by empowering artificial intelligence (AI) into the monitoring process, it is now possible to analyze these high volume, complex and dynamic ecosystems. The billions and billions of events that occur in real-time can be viewed in a format that is not only understandable, but actually gives you actionable insights (by priority of critical impact on the business) so that you can constantly improve the total IoT experience. Manage IoT ecosystems the easy way with Dynatrace AI-powered, full stack monitoring Dynatrace is the only performance monitoring solution that is designed to automatically detect and analyze an IoT topology without any manual configuration. It delivers full operational insights into the complex ecosystem of technology: sensors, devices, gateways, networks, cloud environments, private data centers and applications. The AI-powered engine allows you to: Manage IoT complexity and scale Understand the impact, and resolve, issues with prioritized actionable alerts and affecting business-critical systems quickly insights and proactively, in real-time Ingest and understand health of diverse data sources from a wide variety of edge devices, simple sensors, to full blown servers and everything in between to understand performance, and create improvements in your IoT environment ©2017 Dynatrace 4 Please complete the form to gain access to this content Access Now Related Resources The Total Economic Impact Of Dynatrace AIOps Done Right 5 Key Considerations for Enterprise Cloud Monitoring Taming the Complexity of Web-Scale IoT Applications A 2018 Global CIO Report Is traditional monitoring dead? Market Radar: Cloud-native Application Performance Management Lost in the Cloud?
The Internet of Things (IoT) is transforming how we do business and how we live Digital transformation and IoT are everywhere, including retail experiences and wearables, industrial and manufacturing applications, the connected home and smart cities. These trends are changing the world not only in terms of providing new user interfaces, but also by creating a completely new set of non-human touchpoints and multiplying them across any number of smart devices: home security systems, industrial sensors, televisions, and connected cars, to name a few. These two worlds are escalating together more tightly than ever before as the traditional environment of information technology and operational technology create the new ecosystem of IoT. Forrester Research identifies three main IoT business scenarios: Experience designers can embed Business-process owners at all A variety of business leaders can IoT sensors in products or companies can operate IoT-enabled consume third-party IoT data or environments to enable better assets to improve their operations insights to improve their operations customer experiences. and tie them closer to customer and offerings. journeys. Successful companies will leverage IoT to optimize their existing operations, differentiate their products and services, and transform entire markets through new offerings. (1) (1) “Untangle Your IoT Strategies, The Three IoT Scenarios And How They Drive Business Value”, by Frank E. Gillett, September 21, 2017, Forrester Research Challenges that IoT companies and developers face Massive complexity and scale Impact on business-critical systems Diverse data sources IoT ecosystems are complex, with In many cases IoT applications are IoT systems may include a wide variety many moving parts and huge amounts mission-critical, with a direct connection of edge devices, ranging from simple of data. Traditional or homegrown to a business process or user experience. sensors to full-blown Linux servers, monitoring approaches are not built for, Because poor performance or outages and everything in between. Monitoring and cannot scale, to access complete can have a direct impact on the bottom systems need to be flexible enough to insights into these dense environments. line, when issues occur, identification instrument and ingest data from all of and resolution of those issues needs to these device types. happen quickly, ideally proactively or in real time. ©2017 Dynatrace 3 Empowering artificial intelligence to address IoT challenges The Internet of Things (IoT) is an ecosystem of technology. This universe of technology – unified around IoT cloud platforms – collects a gold mine of operational data that can help businesses and developers overcome the IoT challenges by identifying performance issues and risks. The problem is that the sheer complexity of the environment, and volume of this data, is beyond human accessibility and capacity. But, by empowering artificial intelligence (AI) into the monitoring process, it is now possible to analyze these high volume, complex and dynamic ecosystems. The billions and billions of events that occur in real-time can be viewed in a format that is not only understandable, but actually gives you actionable insights (by priority of critical impact on the business) so that you can constantly improve the total IoT experience. Manage IoT ecosystems the easy way with Dynatrace AI-powered, full stack monitoring Dynatrace is the only performance monitoring solution that is designed to automatically detect and analyze an IoT topology without any manual configuration. It delivers full operational insights into the complex ecosystem of technology: sensors, devices, gateways, networks, cloud environments, private data centers and applications. The AI-powered engine allows you to: Manage IoT complexity and scale Understand the impact, and resolve, issues with prioritized actionable alerts and affecting business-critical systems quickly insights and proactively, in real-time Ingest and understand health of diverse data sources from a wide variety of edge devices, simple sensors, to full blown servers and everything in between to understand performance, and create improvements in your IoT environment ©2017 Dynatrace 4
