Database Management Blog

Our thoughts about database management plus the latest information about the ObjectRocket platform.

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Databases aren’t easy to manage. They occupy a lot of hardware, require valuable man-hours to maintain, and there aren’t that many people qualified to work on them if something goes very wrong. Plus, they are a mystery to most business units outside of IT. That doesn’t mean that databases aren’t an absolute necessity, though. They are. The datastore has always been a key component of any application. Now that businesses have shifted toward “big data,” people want access to even more information than ever before, which means more new databases. It’s become absolutely crucial for businesses to harness “big data” to make informed decisions about customers and their needs based on data analysis.

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We hear it a lot. One of the most painful aspects of database maintenance are the upgrades. It can be scary to upgrade to the latest version of Elasticsearch or any datastore. The Elastic Stack is updated more regularly than most datastores and each release brings major new features, bug fixes, or enhancements. When evaluating an upgrade to a newer version, you may have some features you’d like to add and there may be some nagging bugs you’d like to squash. Other than that, your app is working and you don’t want to mess with a good thing and decide to stay on the version that’s working. So, you get farther behind and it becomes even harder to move on to the latest version. We talk to many businesses that find themselves in this situation; they use early versions of Elasticsearch and they’ve gotten really far behind. They feel stuck.

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Today we're announcing that Elasticsearch 6.0.0 is now available on the ObjectRocket service. Though this is not as big a launch as last year's release of Elasticsearch 5.0, there are still a number of major additions and improvements you can take advantage of in the new version. You can try it out now, in the the ObjectRocket app.

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Some of the most common sources of support tickets we see on the ObjectRocket for Elasticsearch platform are related to indexing, shard count, and replication decisions. Elasticsearch is awesome at spreading data across your cluster with the default settings, but once your cluster begins to grow, the defaults can get you in trouble. Let’s go over some of the basics of sharding and provide some best practices for indexing and shard count.

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Since all ObjectRocket for Elasticsearch clusters come with multiple client nodes, one of the common questions we get from our customers is why we don’t provide a load balancer to connect to all of them.

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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.

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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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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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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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Anybody who looks at the ObjectRocket for Elasticsearch page should (hopefully) notice that we mention dedicated containers and our high-performance hardware environment a number of times. Last week we posted a performance comparison between ourselves and a couple of the other Elasticsearch services to give you some insight into the results of our design. Now that you've seen the results, I thought it was about time that we walked through the architecture, where we designed for performance, and the other considerations we had to keep in mind.

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As data platforms continue to expand and transform there's one aspect that never seems to change; everyone still wants a backup copy of their data! The evolution of technology still demands a need to have access to backups in order to restore to a local development environment, a copy for safe keeping or compliance, and various other use cases. This walkthrough will show you how to leverage the S3 repository plugin with your ObjectRocket for Elasticsearch instance.

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Have you every spent time dreaming of a fully automated Elasticsearch environment? If so, stay tuned as this post will walk you through some of ObjectRocket's basic API features for our Elasticsearch product. Using the ObjectRocet API will allow you to create instances, users, acls, and more on demand.

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A common question we're asked here at ObjectRocket is: "How do you compare to X?". This is a very good question, as you should always look for the best performing option for your business! We're always looking for ways to make our platform better and show what we can do.

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Last month we launched Elasticsearch and Kibana 5.0 as an early access option for new clusters on ObjectRocket for Elasticsearch. Since then, we've been continuing to improve the experience and are now ready to remove the early access label and declare Elasticsearch 5.0 general availability on the ObjectRocket platform.

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The Elasticsearch community has reached a huge milestone with the release of Elastic Stack 5.0. We're ready to join the party and are now offering Elasticsearch and Kibana 5.0 as an Early Access option for new builds on the ObjectRocket platform. What this means for you is speed, new features, and peace of mind in knowing that you only need to remember one version number from now on, all on the dedicated and fully managed ObjectRocket hosting platform.

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You've asked, and now it's here... Encryption at rest is now available as an option on ObjectRocket for Elasticsearch with Kibana. As of today, encrypted instances can be created in the ObjectRocket control panel and existing instances can also be converted to encrypted instances with our always-free migration services.

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I'm excited to announce that our ObjectRocket Elasticsearch product now includes automated index curation, as well as the general availability of Elasticsearch version 2.3!

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