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  -            h4 Elastic data infrastructure
  -            p Maintaining enough infrastructure to handle data-processing peaks can be expensive. DC/OS maximizes server efficiency during peak times, saving you money.
  +            h4 Elastic infrastructure
  +            p Maintaining enough infrastructure to handle data-processing peaks can be expensive. DC/OS allows you to scale up critical micro-services during peaks, and schedules extra resources efficiently during troughs.
   
   
   
  
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          h1 Fast Data on DC/OS
          p.hero-subtitle(style='max-width: 46rem;').mb0 &ldquo;Big data&rdquo; is collected from many sources in real-time, but is processed after collection in batches to provide information about the past. Modern apps, however, need to respond to events happening now, not to yesterday's news. To do this they use &ldquo;fast data&rdquo;, which is processed as it is collected to provide real-time insights.
  
  
  
  
negative.code:             p Process data and visualize it both on and off line.
              span(style='color: #9351E5') Start the example
  
            a.card.col-4.left-align.px3.py3(style='display: block' href='https://channel9.msdn.com/Series/MSDEVNO/Stream-processing-with-Apache-Kafka-on-DCOS-on-Azure')
              h4.my0 Stream Processing
              p Learn to stream process with Kafka and Azure.
              span(style='color: #9351E5') Watch the video
  
  
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