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Organizations seeking to save money might look at managing their databases in house as one place to tighten the belt, but a recent study on total cost of ownership found that a fully-managed database-as-a-service is the consistently better value.

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Today, I'm excited to announce that we're starting to roll out our RocketScale™ autoscaling technology to all ObjectRocket for Elasticsearch customers. We will be rolling out in phases, so some of our users may see the feature pop up before others. Once we're complete, data nodes will be automatically added to your Elasticsearch clusters when they're short on capacity.

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MongoDB is a technology that’s easy to overlook in a Sitecore implementation. Many people come to Sitecore already knowing SQL Server, and C# applications running on IIS are as familiar as well broken-in blue jeans. As Sitecore systems evolve, however, they move into interesting areas that are somewhat off the beaten path for the typical ASP.Net developer. One gets into areas like Solr, Redis, or – the focus of this write-up – MongoDB.

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Other than "You Know, for Search", the uses of Elasticsearch continue to grow and change over time. We at ObjectRocket have been offering hosted Elasticsearch on the ObjectRocket platform for a while now and have been able to see some clear trends among our customers and how they're using the product. Below are the top 5 uses cases that we see on the platform:

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Ever since Elastic{on} 17, we've been excited about all of the upcoming features in the Elastic Stack, especially the new Filebeat modules concept. Usually, when you want to start grabbing data with Filebeat, you need to configure Filebeat, create an Elasticsearch mapping template, create and test an ingest pipeline or Logstash instance, and then create the Kibana visualizations for that dataset. The Beats team has now made that setup process a whole lot easier with the modules concept.

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There's probably been a time when you said to yourself I wish Elasticsearch did _____ by itself. Luckily for you, Curator fills in a lot of those blanks. Curator has the ability to remove or close old indexes, create and modify aliases, control your snapshots, and many other handy features. We'll be highlighting a few key uses of Curator here, but feel free to read through the official documentation if you're looking for additional guidance.

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Unlocking the power of open source, enterprise-grade technology for businesses of all sizes looking to experience significant cost savings offered by a fully managed database-as-a-service solution.

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One of the coolest new features in Elasticsearch 5 is the ingest node, which adds some Logstash-style processing to the Elasticsearch cluster, so data can be transformed before being indexed without needing another service and/or infrastructure to do it. A while back, we posted a quick blog on how to parse csv files with Logstash, so I'd like to provide the ingest pipeline version of that for comparison's sake.

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