MongoDB Metrics

Collect and ship MongoDB server metrics to Logstash and Elasticsearch

Metricbeat is a lightweight shipper that helps you monitor your MongoDB servers by collecting metrics running on the MongoDB server. Configure Metricbeat using the pre-defined examples below to collect and ship MongoDB service metrics and statistics to Logstash or Elasticsearch.

Install Integration

Please click on the Install Integration button to configure your stack for this source.

Install Metricbeat

To get started first follow the steps below:

Older versions can be found here: metricbeat 7 (opens in a new tab), metricbeat 6 (opens in a new tab), metricbeat 5 (opens in a new tab)

Copy Configuration File

The configuration file below is pre-configured to send data to your Logit.io Stack via Logstash.

Copy the configuration file below and overwrite the contents of metricbeat.yml.

###################### Logit.io Metricbeat Configuration #######################
# =========================== Modules configuration ============================
 
metricbeat.config.modules:
  # Glob pattern for configuration loading
  path: ${path.config}/modules.d/*.yml
 
  # Set to true to enable config reloading
  reload.enabled: false
 
  # Period on which files under path should be checked for changes
  #reload.period: 10s
# ======================= Elasticsearch template setting =======================
setup.template.settings:
  index.number_of_shards: 1
  index.codec: best_compression
  #_source.enabled: false
 
# ================================== Outputs ===================================
# ------------------------------ Logstash Output -------------------------------
⚠️

No input available! Your stack is missing the required input for this data source

Talk to support to add the input

Enable Module

There are several built-in metricbeat modules you can use. To enable the mongodb module, run the following:

metricbeat modules list
metricbeat modules enable @module

Configure Module

Each module has its own configuration file where different metricsets can be enabled / disabled. Locate the configuration file for the mongodb module.

/etc/metricbeat/modules.d/@module.yml

By default metricsets are disabled. To enable or disable a metric simply comment or uncomment the line out.

- module: mongodb
  #metricsets:
  #  - dbstats
  #  - status
  #  - collstats
  #  - metrics
  #  - replstatus
  period: 10s

Start Metricbeat

Start or restart Metricbeat (opens in a new tab) to apply the configuration changes.

Check Logit.io for your logs

Data should now have been sent to your Stack.

View My Data

If you don't see take a look at How to diagnose no data in Stack below for how to diagnose common issues.

How to diagnose no data in Stack

If you don't see data appearing in your stack after following this integration, take a look at the troubleshooting guide for steps to diagnose and resolve the problem or contact our support team and we'll be happy to assist.

Compatibility

The MongoDB metricsets were tested with MongoDB 3.4 and 3.0 and are expected to work with all versions >= 2.8.

MongoDB Module Dashboard

The MongoDB module comes with predefined Kibana dashboards. To view your dashboards for any of your Logit.io stacks, launch Logs and choose Dashboards.

Prebuilt Kibana dashboard

MongoDB Overview

MongoDB is a popular NoSQL database system renowned for its flexibility, scalability, and efficiency in managing and storing vast volumes of data, making it a prime choice for handling shipping logs effectively. This overview provides a concise understanding of MongoDB's relevance in the context of shipping log management (opens in a new tab).

MongoDB is a document-oriented database that organizes data into JSON-like BSON (Binary JSON) documents, allowing for easy storage and retrieval of unstructured or semi-structured data, a common format for shipping logs.

Its dynamic schema design accommodates changes in data structure without necessitating a predefined schema, enabling smooth adaptation to evolving shipping log requirements.

MongoDB's horizontal scalability, achieved through sharding, makes it well-suited for handling high-volume shipping logs, distributing data across multiple servers for improved performance and fault tolerance. This ensures that as your shipping log data grows, MongoDB can seamlessly accommodate the increasing workload.

Additionally, MongoDB's powerful querying capabilities and indexing support allow for efficient retrieval and analysis of shipping log data to an external service such as Logit.io, facilitating real-time monitoring, trend analysis, and reporting. Its robust security features and access controls ensure that sensitive shipping information remains protected.

If you need any further assistance with migrating your data to Logit.io we're here to help you get started.
Feel free to get in contact with our support team by sending us a message via live chat & we'll be happy to assist.