Operations | Monitoring | ITSM | DevOps | Cloud

When a data index is created in Elasticsearch, the data is divided into shards for horizontal scaling across multiple nodes. These shards are small pieces of data that make up the index and play a significant role in the performance and stability of Elasticsearch deployments. A shard can be classified as either a primary shard or a replica shard. A replica is a copy of the primary shard, and whenever Elasticsearch indexes data, it is first indexed to one of the primary shards.

Data analysis is a crucial aspect of any business or organization because it helps with making informed decisions and improving overall performance. However, with the vast amounts of data generated every day, it can be overwhelming to manually analyze and derive insights from it.

This article was originally published on Medium.com and is reposted here with permission from the author. Trying to connect Grafana & InfluxDB IOx? Follow this tutorial to learn how.

Databases are often the biggest performance bottleneck in an application. They are also hard to migrate from once being used in production, so making the right choice for your application’s database is crucial. A big part of making the right decision is knowing what your options are. The database landscape has been changing rapidly in the past few years, so this article will try to simplify things for you by going over the following topics.