It’s no news that microservices are one of the top trends, if not the top trend, in application architectures today. Take large monolithic applications which are brittle and difficult to change and break them into smaller manageable pieces to provide flexibility in deployment models, facilitating agile release and development to meet today’s rapidly shifting digital businesses. Unfortunately, with this change, application and infrastructure management is more complex due to size and technology changes, most often adding significantly more virtual machines and/or containers to handle the growing footprint of application instances.
Fortunately, this is just the kind of environment the AppDynamics Application Intelligence Platform is built for, delivering deep visibility across even the most complex, distributed, heterogeneous environments. We trace and monitor every business transaction from end-to-end — no matter how far apart those ends are, or how circuitous the path between — including any and all API calls across any and all microservices tiers. Wherever there is an issue, the AppDynamics platform pinpoints it and steers the way to rapid resolution. This data can also be used to analyze usage patterns, scaling requirements, and even visibility into infrastructure usage.
This is just the beginning of the microservices trend. With the rise of the Internet of Things, all manner of devices and services will be driven by microservices. The applications themselves will be extended into the “Things” causing even further exponential growth over the next five years. Gartner predicts over 25 billion devices connected by 2020, with the majority being in the utilities, manufacturing, and government sectors.
AppDynamics microservices pricing is based on the size of the Java Virtual Machine (JVM) instance; any JVM running with a maximum heap size of less than one gigabyte is considered a microservice.
We’re excited to help usher in this important technology, and to make it feasible and easy for enterprises to deploy AppDynamics Java microservices monitoring and analytics. For a more detailed perspective, see our post, Visualizing and tracking your microservices.