I’ve been working on a pretty conceptual research project over the last few months. The research is finally out as of yesterday (7/28/14). The basic premise is that as the environments and technologies continually evolve and become more abstract and complex the monitoring tools need to evolve in the same manner. The main issues are the use of traditional architectures versus big data and streaming architectures. Additionally the ease of deployment and use are the new normal, SaaS is a critical deployment model to facilitate fast time to value.
Additionally we look at tool proliferation issues, and some data behind those problems. The other issue investigated is the general failure of ECA approaches in terms of fixing the complexity of the tools, by simplifying the tools with unified monitoring approaches, combined with ITOA these issues can be more easily handled. On the ITOA front, we share data collected on Unstructured Text Search and Inference (UTSI) or what many call log analytics.
Monitoring tools are beginning to be used for multiple use cases outside of operational visibility, and more of this is investigated in this latest research note. Clients can read more here: