For many years, the focus in IT has been on building robust systems that invested heavily in avoiding failures. To accomplish this goal, methodical processes were implemented to guide IT through a list of known use cases so that systems could try to avoid failing and have a plan for recovery if a failure did…
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At the recent Misti Big Data Security conference many forms of securing big data were discussed from encrypting the entire big data pool to just encrypting the critical bits of data within the pool. On several of the talks there was general discussion on securing Hadoop as well as access to the pool of data. These security measures include RBAC, encryption of data in motion between hadoop nodes as well as tokenization or encryption on ingest of data. What was missing was greater control of who can access specific data once that data was in the pool. How could role based access controls by datum be put into effect? Why would such advanced security be necessary?
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As a consultant, I get to travel around the country and see many companies in action. Almost every company I visit is practicing what they call an agile methodology, with varying degrees of success. The companies that are good at agile tend to have happy customers and high morale. Unfortunately, many companies I visit are…
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There is a new set of tools available for Caching up and down the stack which we covered within Caching through out the Stack, however in reality where is the best place to cache data for your application and what are the ramifications of using such a cache. Recently, we had a caching problem, actually two of them. Both caused by the same thing, a lack of full understanding about what was being cached. For any application, the best way to cache is to cache in memory as close to the application stack as possible, which in our stack could be within the application, the OS, or even a hypervisor based disk cache. However, which does your application actually use?
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By now, enterprises understand the value of Software as a Service (SaaS) and Infrastructure as a Service (IaaS), but there still is much confusion about Platform as a Service (PaaS). This confusion is one reason why enterprises have been slow to adopt PaaS. Why is there so much confusion? Because PaaS is still in its early days of maturity, but it is growing up really quickly right before our eyes.