DevOps is Hot, but Big Data isn’t going anywhere.

Obviously, DevOps has been a focus of my career for the last couple years, and within DevOps, I tend to be more Ops focused. This would make sense given my stint at Splunk and a couple of other operational intelligence based startups. However, over the last few months, I’ve had the opportunity to work with a startup that focuses specifically on big data platforms as a managed service.   Having the opportunity to get an intimate look at these big data platforms, I’ve learned one thing; although big data has been around for while, and DevOps is the hot buzzword right now, big data isn’t going anywhere.  Continue reading

The Case for Managed Services

As veteran of the IT industry, I fall inline with the 10,000 hour rule in reference to Linux/Unix Systems Administration.  Needless to say, as a wrangler of *nix based operating systems, most people would consider me an expert; although, I rarely feel that way.  However, as of recent I’ve been doing a lot of work on Big Data platforms, including Hadoop, Elastic Search, MongoDB, and using tools such as Storm and Impala.  While the install of these platforms is trivial, I can unequivocally say that the tuning is not.  Continue reading

Why You Should Be Involved in the Technical Hiring Process.

I’ve been staying busy these days doing a lot of consulting relating to DevOps, Big Data, and Data Science.  Part of the services I’ve been offering is assistance in locating qualified candidates for positions in DevOps environments.  One thing that I’ve noticed over the last seven months of consulting is that most companies have no idea how to screen and vet a technical candidate; this is mostly because of the fact that you have human resources personnel trying to locate someone for a highly technical position. Continue reading