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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.
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:
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.
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.
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.
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.
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.
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.
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.
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.