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6 APM Trends for 2017

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6 APM Trends for 2017

IoT has led to significant changes to application performance management, including new trends in machine learning, analytics, and the cloud.

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Back in 2016 we saw some gargantuan advancements in the technology arena – from Virtual and Augmented reality technologies and IoT hitting the mainstream to major innovations in 3D printing and space travel. We saw the IT industry introduce technologies which facilitated the rapid adoption of cloud technologies, the rise of DevOps implementation and server-less computing that will be transforming the face of IT operations well into the foreseeable future. Looking around us, we also see the area of Application Performance Monitoring (APM) growing in leaps and bounds.

In this post, we’ll be covering 6 APM trends for 2017. Feel free to comment with any of your own.

APM and Machine Learning

In 2016 we saw an upswing in the adoption of machine learning and we see it continuing to rise in 2017. Machine learning moved forward in advancing the power of analytics, empowering the analysis of Big Data and presenting deeper application performance monitoring and insight. The gains that enterprises realize from APM tools won’t only be limited to monitoring and the collection of performance data. Analytics coupled with machine learning will facilitate the recognition of data trends and will help predict failures. This will allow for an alerting system that will prove to be more intelligent and facilitate faster response times by IT teams. It will also allow for more efficient IT decisions when dealing with outages and/or failures.

APM and Analytics

APM tools that do not utilize the power of Analytics will only continue to generate a plethora of data. With an increasing number of applications monitored and their associated complexity and interconnection, the amount of non-analyzed data will only grow. To dive deep into the goings on of the application, analytical capabilities will be paramount. For example, in the process of root cause analysis, IT teams typically look at the topology map. As these topologies increase in their complexity, IT won’t be able to rely on the map and identify the root cause. These non-analytic tools, we predict will fall by the wayside as analytic-focused application performance monitoring tools will be implemented in their place and provide deeper insights for quicker resolution.

APM and IoT

The rapid rise of devices that are connected to the Internet via the implementation of IoT (Internet of Things) means that large amounts of data will be streaming into business’ storage of Big Data. We see more and more IT departments taking a look at implementing the right APM solution to handle and simplify the ability to manage these dynamics and complex environments to deal with the increased resource dynamics.

APM and Focus on Consumer

Another one of the APM trends we see is the use of application performance monitoring in enhancing the user experience and providing insight so that their customer needs are answered and see high satisfaction. APM will greatly assist development teams to be able to go to market faster, but more importantly, it will deliver quality applications that their customers expect. Businesses, facing constant competition will need to adopt an approach that is more customer-centric. APM will, therefore, be adopted and applied in multiple industries and verticals.

APM Moving to Cloud

The blindingly rapid adoption of the cloud by companies means that IT support will be constantly looking for systems to monitor both new applications as well as infrastructure. The implementation of APM technology will introduce quite a few key capabilities to respond to this move to cloud. This includes transparent visibility into the entire cloud stack and its history. The complete comprehension of all cloud resources, as well as the instant analysis of all the information will generate deep insights which will trigger both automated and manual IT operations that will assist IT in pinpointing issues, facilitating incident recovery and fixing any underlying IT issues.

Microservices and Containers: Discovery and Mapping

We will see increased focus on the capacity to simply map component interdependencies in the data center for both the public and internal cloud. While Microservices and Containers are the initial trend, they will establish the tone in IT departments that are more traditional and will empower them to map dynamic dependencies in real time. We will also see heightened discovery functionality being offered from more APM vendors.

We expect all of these application performance monitoring trends to continue in 2017 and beyond.

Digi-Key’s IoT Component Selector is your one-stop-shop for the IoT

apm ,iot ,machine learning ,analytics

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