A few months ago, I interviewed at Oak Ridge National Laboratory for a joint project they were doing with the U.S. Department of Veterans Affairs. If offered this position, it was going to be a significant reduction in salary for me, about fifty thousand dollars per year, but I was willing and motivated to take the position because of the mission. This project was a big data initiative to identify veterans at risk for suicide and prevent tragedy before it strikes. Given the mission statement and the environment, I felt that this opportunity was a near perfect fit for me. It was almost like I had written the job description for myself.Continue reading
First and foremost, I must apologize as I’ve given no love to my blog in almost a year. I’ve had many major personal and work events happen, and honestly, have just not had the motivation to write. Nonetheless, I just got back from the SouthEast LinuxFest, #SELF2015, and it was phenomenal; it has definitely reinvigorated me. Continue reading
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 Wall Street Journal published an article by Rachel Shannon-Solomon stating that DevOps is not ready for the enterprise. You can, and should, see that article here. In my opinion, this entire article is a plethora of ridiculous statements. Not only is DevOps built for the enterprise, it’s ready now; enter DevOps 101: CAMS. Continue reading
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
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
Welcome to part one of a three part blog series about choosing an SPI provider. Be sure to check back to read part two and part three. In part one, I will be addressing aspects of an SPI provider to take into consideration when choosing one to partner with. In part two, I will delve deeper into a couple of these aspects, as well as giving some recommendations for SPI providers that I believe deliver great value while maintaining performance.