Monday 10th May, 2021
Elasticsearch Monitoring Tools a handy guide of Open Source Tools
Keeping a regular check is the most vital aspect of working with a system, and troubleshooting the issues and further fixing them is equally important. And the monitoring tools are your saviors at working on a system and monitoring it to ensure the accurate system operation. Search engine boosts various applications; Elasticsearch monitoring is an important and primary building block of a successful operation.
Elasticsearch infrastructure covers almost all the vital system components, including the CPU, indexing and rates, memory and various metrics. Numerous monitoring tools help to predict the system’s technical issues with their additional merits and demerits.
The write-up will describe four monitoring tools in main and their lacking sectors.
Open-source tools for monitoring elasticsearch:
ElasticHQ has received 4.3K stars and gives all the access to the users regarding statistics and controlling over elasticsearch operations. It also contains pre-defined charts and enables you to keep a regular eye on indexing, clusters, and even relevant metrics.
This is an MIT licensed tool that has earned 30 stars on Github and enhances your system’s built-in capabilities. Cerebro was earlier installed as a plugin on elasticsearch.
However, with fewer updates, it’s family is small and has no frequent updates.
Elastic offers the overall monitoring features, including all the kibana and beats, and has a substantial user community.
Kibana is the one offering several dashboards and visualization options to be customized according to your requirement. However, the central aspect where it fails is the alert notifications, and the user will need to configure the notifications himself.
- Elastic Stack:
This is a specific metric collection tool having around millions of downloads and thousands of stars; 28.1K and 32.5K stars. These tools enable you to see the data for more extended periods, but its only downside is that it fails when it comes to displaying full-text data querying. Adding to this, this doesn’t support data logs.
Which tool should you prefer?
Before concluding further and jumping into choosing the right suitable monitoring tool, let’s highlight a few things.
Both ElasticHQ and Cerebro are mainly created for elasticsearch and are some of the most convenient options to use. At the same time, the Prometheus and grafana (doesn’t feature index) are the ones with numerous features but are not meant for monitoring the elasticsearch.
Last but not least, Elastic is the one that needs expert handling.
Why do you need an additional monitoring tool except for the standard tool?
Unpredictable issues can encounter you even if you are using the most reliable monitoring tool to keep an eye on elasticsearch. The primary aspect is to know the exact metrics and infrastructure. All the metrics work like a team and operate your system, and even the tiniest fluctuation or change can disturb their functioning.
So, successfully operating the elasticsearch and working on it conveniently needs much more focus and perfect visibility. And opster is the one monitoring tool offering a wide variety of features like incident forecasting and workload balancer, which is the most prominent.
Opster allows automation of workflows to deal with elasticsearch for reducing your manual efforts. It troubleshoots the root cause of issues and resolves them quickly. You come across tuned dashboards with opster to ensure 100% attention to the required sectors.
Several monitoring tools are launched but don’t work equally. Considering the complexity of elesticsearch, many of the monitoring tools offering essential services are not appropriate for most users.
Opster is probably the best option for troubleshooting different issues and resolving them. This monitoring tool can prepare your system to prevent several issues that are not even observed yet.
- Prometheus and Grafana: