ITIL

IT Infrastructure Library.

5 key consideration for overcoming app and computing sprawl

By | 2018-04-17T18:30:46+00:00 May 7th, 2015|Blog|

In my last post, I discussed how enterprise application sprawl, if left unchecked, puts organizations at risk. In this post, I’m going to discuss what to do about the problem. Today, any single department within even a mid-market enterprise will have more applications deployed than was standard – organization wide – just a dozen or so years ago. These apps include everything from cloud-based CRM to social media tools to AWS workloads to various big data tools to collaboration suites, and on and on and on.

Golden Age of Developers = Nightmare for Ops

By | 2018-04-17T18:53:32+00:00 September 18th, 2014|Blog|

The last ten years have brought enormous changes to production environments, driven by a best-of-breed approach to production infrastructure enabled by open source and cloud.  This has been a boon for developers in terms of flexibility and productivity,  but it’s also placed a new set of challenges and expectations on Ops.

Hey Silicon Valley, you’re wrong about “Data Science” and “Machine Learning”

By | 2018-04-17T18:59:14+00:00 August 31st, 2015|Blog|

Tsunami detection. Crop dusting. Biohazard monitoring. What may sound like innuendos in the next EL James novel are also fields being revolutionized by quant jocks and smart algorithms. And yet, despite all the innovation, we technorati continue to bastardize the terms “data science”, “machine learning,” and “big data”. They’ve become lazy speak for “we’re not sure what we’re doing so we’ll hand wave cliches until we have real technology and a business model."