Our thoughts about database management plus the latest information about the ObjectRocket platform.
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A question faced by a lot of companies as they start out (especially tech-based companies) is whether they want to outsource certain functions or do them in-house. Making this decision can sometimes be difficult, since it can seem expensive whether you’re hiring your own crew or paying another company to get it done.
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.
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.
Databases are essential to modern business. Every day, you’re generating data that needs organizing, indexing, storing, and eventually, retrieving. Your constant stream of customers and users feeds this data stream, growing your database, and increasing the number of requests on the system. Sometimes, though, traffic is higher than we expect, and those who aren’t prepared for a spike in server requests will ultimately suffer the consequences.
Are you trying to manage your databases in addition to generating the content that goes into it? Although there is something to be said for hands-on management, running databases in production can be hard and it can start robbing your business of time, focus, and money before you know it. Knowing when to outsource is key — especially when you have a small team and a limited budget.
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.