anchor.diff:              h3 Simplified operations
               p.pb5 If you are processing big data when a server in your data center fails, you have time to reschedule your process. But when you depend on fast data, every second counts. DC/OS provides a resilient architecture that automatically reschedules tasks that were running on failed nodes. Even under normal conditions logging, debugging, and metrics gathering are essential for smooth operations. With the release of 1.9, DC/OS will provide easily queryable APIs which will be able to send operational data to your choice of visualization tools.
   
  -            h3 Elastic data infrastructure
  +            h3 Elastic infrastructure
               p Big data data is processed in batches, which gives you control over the amount of processing power that you need at any given time. But fast data can be unpredictable, and the amount of processing power you need can vary from moment to moment. DC/OS allows you to scale apps up, down, and out safely. It maximizes server efficiency during peak times, which saves you money and guards against downtime.
   
   
  
positive.code: 
            .lg-col-4.col-6.xs-col-12.xs-center.px2.pb0
              img(src='/assets/images/icons/elastic-data-infrastructure.svg')
              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.
  
  
  
  
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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