Capacity planning

If the ratio of memory to number of shards in the cluster is low, it suggests that you have insufficient memory compared to the volume...

Follow the steps mentioned in this guide to resolve the issue of disk underutilization on the cold tier in Elasticsearch.

There are various watermark thresholds on an Elasticsearch cluster. As the disk fills up on a node, the 1st threshold to be crossed is...

The different categories in the Elastic Pricing Calculator can impact your final cost. Here's how to efficiently use the pricing calculator.

In this guide, we'll discuss the key factors to consider when planning for Elasticsearch capacity and provide guidelines on...

Elasticsearch clusters need to maintain the cluster state in memory on each and every nodes, which requires a large amount of resources...

Here are 12 tips to reduce and optimize your Elasticsearch costs. First, plan data retention: carefully adjust your...

If there is more disk space allocated to data nodes in the Elasticsearch cluster than needed, this means that the disk resources are...

Having too many replicas for certain indices on the hot tier of your Elasticsearch cluster can lead issues. To resolve this...

Having more replicas than necessary on the warm tier of your cluster can lead to inefficient resource usage & impact performance To resolve...

This guide discusses the hardware and configuration requirements for Elasticsearch, including: CPU, memory, storage & network requiriements.

Here's how to optimize the Elasticsearch Java Heap Size to ensure efficient resource utilization & prevent OutOfMemoryError issues.

When cluster state becomes too large it poses many challenges. In order to determine the size of your cluster state and reduce it, you...

Follow the steps listed in this guide to reduce the memory allocated to hot nodes in your Elasticsearch cluster.

Here's a detailed guideline on the minimum requirements for Elasticsearch, including hardware specifications, JVM settings...

In Elasticsearch’s multi-tier architecture, the tiers are named hot, warm, cold & frozen. This Elasticsearch architecture allows better...

In order to understand the context of this event, we first need to explain the different settings at play that govern the allowed...

This article discusses the hardware and configuration requirements for Elasticsearch, focusing on aspects such as CPU...

The memory allocated to the content nodes in your Elasticsearch cluster can be reduced. This excess memory allocation...

If the current memory allocation for the frozen nodes in your Elasticsearch cluster is higher than necessary, the memory-to-disk...

The memory allocated to the warm nodes in your Elasticsearch cluster can be reduced. Warm nodes are used to store...

This guide discusses the issue of having an unlimited number of shards per node in Elasticsearch. The cluster.max_shards_per_node setting...

The Elasticsearch _disk_usage API helps get information about disk usage for each analyzed field of indices and/or data streams. To use it...

Having an excess of replicas on certain indices within the Elasticsearch data nodes can lead to undesirable consequences. To fix the issue...

When the “disk flood stage” threshold is exceeded on an Elasticsearch cluster, it will start to block core actions. To resolve this issue...

If there is more disk space allocated to hot nodes in the Elasticsearch cluster than needed, this means that the cluster is not utilizing...

A high heap size in Elasticsearch will give your node more memory for indexing and search operations. However, your node also requires...

High disk watermark is one of the various thresholds on your Elasticsearch cluster. Passing this threshold is a warning and you should not...

This guide covers how to change node heap limits and memory allocation in Elasticsearch. Elasticsearch's heap memory allocation...

Finding the right number of shards for your Elasticsearch indices, and the right size for each shard depends on many factors, including...

If you don’t have enough disk space available, Elasticsearch will stop allocating shards to the node. This will eventually prevent you from...

When you have too many shards in your Elasticsearch cluster, there are a few steps you can take in order to reduce the number of shards...

Sometimes you can observe that the CPU and load on some of your data nodes is higher than on others. This can occasionally be caused by...

Low disk watermark is one of the various thresholds on your Elasticsearch cluster. Here are possible actions you can take to resolve...

Cold nodes are used to store less frequently accessed data, and optimizing their memory allocation can lead to improved...

The Elasticsearch process is very memory intensive. Here are the memory requirements and some tips to reduce your Elasticsearch memory usage.

In this article, we will discuss advanced techniques and best practices for optimizing Elasticsearch storage.

A large number of shards on an Elasticsearch cluster requires extra resources. Learn key ways to avoid and correct oversharding...

Shard allocation is an algorithm by which Elasticsearch decides which unallocated shards should go on which nodes. To resolve unbalanced...

It is a best practice that Elasticsearch shard size should not go above 50GB for a single shard. If you go above this limit...

Elasticsearch imposes a soft limit on the total number of shards in a cluster. To effectively manage your Elasticsearch shards limit....

The Elasticsearch -Xmx setting is a critical configuration parameter that can significantly impact the performance and stability of your...

In Elasticsearch, the vm.max_map_count parameter refers to the maximum number of memory map areas a process may have. The default value...