Best Elasticsearch Monitoring Tools

Tools are essential for maintaining balance in infrastructure and creating new features. Though there are several elements for monitoring Elasticsearch, there is only a single way to take advantage of all the information, that is, by utilising the correct tools to oversee the Elasticsearch environment. For management and system maintenance, several Elasticsearch tools are designed. Among them, only some selected tools make data available immediately that is compatible and actionable. Mentioned below are some of the best tools for Elasticsearch monitoring.

Curator

To curate Elasticsearch snapshots and indices, Elasticsearch Curator tool proves to be the best. Since it is written in Python, it is well supported among all operating systems. In the following ways, Curator manages your Elasticsearch cluster.

• Procures the whole list known as an actionable list comprising of snapshots from the cluster.
• Executes actions on a wide variety of items such as automation, storage, and the optimising of static indices which remains in the actionable list.
• To remove snapshots or indices from the actionable list, it goes through the list of user-defined filters. It is an incredible time-saver as Elasticsearch consutling already provides it. Curator provides many features than what is mentioned above.

Dealing with growing clusters demands many resources and can entirely be a task. Marvel is a tool directly related to proactive monitoring, that allows a better view of the performance in real-time via index, cluster and node metrics. Also, it ensures the users to focus on memory usage over time. What makes the tool useful is the ability it provides to the user to quickly spot trends impacting the environment. It ensures a more efficient workflow since it can simplify APIs through the marvel and explore data interactively. Another essential point to be kept in mind is that Marvel is a free tool which makes it even a better option to choose.

Kopf features prominently as an MIT-licensed and open source web admin tool offering simple ways of executing everyday tasks on the Elasticsearch cluster. It is a simple web administration tool written in HacaScript for Elasticsearch. Though it doesn’t allow the coverage of all APIs under it, the REST client allows for discovering the full potential of an Elasticsearch API. The detailed analysis feature provided by Kopf makes it valuable enough to add to your suite of tools for Elasticsearch monitoring. However, now it is operating under its replacement name Cerebro. With a few new features, Cerebro is pretty much equivalent to Kopf.

Commonly, it is used for Elasticsearch clusters as a hosted on-demand monitoring tool. It is easy to use as it comes with options to either be downloaded/run locally or installed or plugin. ElasticHQ gives insight into runtime metrics and configurations as well by monitoring individual cluster nodes. Some of its significant benefits include search and querying, full cluster management, and no software installation. Also, flexibility adds more power to the monitoring. Overall, it is very functional that enables users to access the cat APIs and health directly.

A monitoring tool effectively monitors your Elasticsearch and helps you to get better maintenance of your Elasticsearch cluster. They ensure that Elastisearch remains healthy and performant. Usually, open-source tools come with a pocket-friendly price tag, but they might introduce some additional problems to your organization.