MULTI-STRUCTURED DATA

Elastically adding and removing nodes using akka cluster

This post explores a pull-based master/worker architecture – one that is suitable for anyone who is looking to elastically provision nodes when the load is higher than normal and under-provision when the load is below normal. In this post, the master accepts RSS links from frontend which can be a user submitting links and worker accept one RSS link and extract information such as article’s published date, title and a brief description. All this information is indexed into ELASTICSEARCH.

Machine logs analytics – next frontier for data center infrastructure management (dcim)

There are few detractors when it comes to the value of DCIM for an Infrastrucutre-as-a-Service (IaaS) provider. But as the data centers become more dynamic and heterogeneous, these tools will need to adept. As CDW, a leading DCIM vendor PREDICTS that cross vendor visibility and heterogeneous platform will challenge the effectiveness of these tools.

Glassbeam for root cause analysis

As a Solutions Architect at Glassbeam, I come across many pre-sales situations during a demo, when I’m asked to showcase our functionality to perform a root cause analysis. So, here is a good example that I’ve pretty much standardized for such situations. It sure is a compelling value proposition of the Glassbeam Explorer application.

Top predictions for 2014

Happy New Year – and what a year it’s been.

With the technology advancements of phones, tablets, glasses, clothing and machines over the last year, there are volumes of unstructured and multi-structured data collected from machines and connected devices, and it’s growing at a dizzying pace. The Internet of Things is quickly turning into the Internet of Everything – in today’s always-on, always-connected world, and machine data is everywhere.