There has been an explosion of these new style monitoring systems which to this point have combined system monitoring, 3rd party monitoring services, and other management technologies into a single stream of events. The products are all SaaS, and leverage other SaaS products into a new hybrid type of management “framework” geared towards agile, cloud based business models.
Vendor solutions have interesting reporting (or what is normally mislabeled “Analytics”) while others are doing correlation of events. Interestingly the unique aspect is a “timeline” with social aspects including the things which were once typically associated with traditional event correlation and analysis tools (ECA). Until this point there hasn’t been any application context plugged into these systems, but that will happen over time. Many of them will be fed by the APMaaS players.
Sample products to give you a better idea of the new breed of systems : DataDog, MOOG, Nodable, ScaleXtreme
There are others of course who are doing similar things in SaaS with open APIs, but don’t have the social aspects yet: Apica, Alertsite, Boundary, Circonus, Librato, Server Density. Commonly interfaced products include Loggly, PagerDuty and other 3rd party services.
Look for more research on these types of systems, with a refreshed vendor landscape for MaaS (Monitoring as a Service) soon after I’m done working on my technology provider 3rd party ecosystem notes focusing on Microsoft, VMware, and Oracle.
Read Complimentary Relevant Research
Organizing for Big Data Through Better Process and Governance
With big data past the Peak of Inflated Expectations on the Hype Cycle, organizations are addressing next-level challenges and asking,...
View Relevant Webinars
Internet of Things: Biggest Impact Ever on Information and Master Data
Few IT leaders acknowledge the challenges of distilling data generated by billions of devices into business-relevant insights and economic...
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.