Tag: elastic stack

Elasticsearch Alternatives for Event Data: 5 Options

Note: This post was originally written for the Scalyr blog. You can check out the original here.

The amount of event data to collect has seen a dramatic increase in the last few years. It continues to grow as more companies move to microservices, containers, and the modern infrastructure stack. For many, Elasticsearch has been the solution to help.

With more data comes some common scaling problems, so you may consider solutions that are Elasticsearch alternatives.

Choosing the wrong alternative can be risky. So in this post, you’re going to learn about five Elasticsearch alternatives you should consider. You’ll learn about some of their benefits and drawbacks, and also how they’re priced.

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The Essential Guide to Scaling Elasticsearch

Note: This post was originally written for the Scalyr blog. You can check out the original here.

Some things aren’t always what they seem.

You’re tasked with engineering a solution that your organization needs. You implement it with a tool that seems relatively easy to set up. But over time, you realize that there’s no Easy button.

Elasticsearch is an example of one of those things. It’s a great product for collecting event data fairly quickly and easily. You start with one data node in one cluster and go from there. And because it’s free and open-source (for now), it’s even better. But as your Elasticsearch cluster grows and collects more data, you start to have some scaling issues. In this post, I’m going to provide some information on scaling an Elasticsearch implementation, as well as some general recommendations for proactive ways to scale Elasticsearch.

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What Is Cloud Data Migration? A Detailed Guide

Editor’s note: This post was originally written for DataOpsZone You can check out the original here.

Do believe the hype!

Many companies are migrating their data to the cloud. Cisco forecasts that by 2021, 94% of all workloads and compute instances will be processed by cloud data centers.

But Gartner’s 2018 hype cycle did have cloud migration falling into the “trough of disillusionment.” This could be because migrating data to the cloud isn’t easy. Organizations encounter numerous issues when trying to take advantage of the cloud’s benefits.

Organizations need to plan properly before undertaking such an endeavor. Let’s look at what you can do to minimize the issues that can plague a cloud data migration project.

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