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Database administration is rapidly moving toward DBaaS. By automating and speeding up tasks ranging from analysis of big data to provisioning and scaling of cloud usage, DBaaS takes administration off the shoulders of IT staff. This makes it possible to work on other projects, such as the development and operation of new software.
Using MongoDB alongside Sitecore xDB allows for the real-time, centralized administration of customer interactions — the turn in your analytics that will put your company on the cutting edge of outreach while closely securing your data streams.
In an earlier post on this series we're calling ObjectRocket MongoDB Deep Dive for Sitecore, we explored the "replica set" vs "sharded cluster" topic. We shared that for our large Sitecore projects at ObjectRocket, we've found a good MongoDB shard key for Sitecore is _id:1 or _id:hashed. In this write-up, we'll dive further into the topic of shard keys for MongoDB used with Sitecore. You may want to review the first post in this series for more background.
To celebrate our launching early access to our alias action in ObjectRocket's hosted Curator implementation, let's review what Elasticsearch aliases are, how they're used, and their advantages. For more detail on the hosted Curator implementation and how to get early access, see the bottom of this article, here.
Today, I'm going to walk you through setting up a local instance of Kibana to connect to a remote Elasticsearch cluster. ObjectRocket for Elasticsearch instances include a free, hosted Kibana install, but there are some cases where running Kibana on your local machine provides additional flexibility. Also, if you happen to be running in an environment or on a service that does not provide hosted Kibana, this walkthrough will help you easily run Kibana local to your machine.
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.
This post outlines some discoveries related to Sitecore knowledge base 939840, an article that explains how to avoid timeouts related to saving contacts with a large number of interactions to the Sitecore Analytics database.
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.