Monitor Docker Swarm in Google Stackdriver

Comprehensive Logs and Metrics Monitoring for Your Docker Swarm Systems

Use BindPlane to integrate Docker Swarm into Google Stackdriver and bring full stack visibility to your IT architecture with Stackdriver Logging. Monitor and analyze Docker Swarm data with logs including, kernel, dockerd, containerd, and network. Use metrics to understand key performance indicators such as, node assigned tasks count, cpu usage, swarm active node count, and heartbeat period.

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Why BindPlane for...

Docker Swarm
Google Stackdriver

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Easy to start

Start collecting data on your first source within minutes.

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Easy to maintain

Reduce script and plugin administration and improve team productivity. The agentless smart collector integrates more than 50+ operational data sources into a single, self-maintaining connection.

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Better results

BindPlane eliminates the quality and complications associated with traditional data collection methods.

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Key Features of Docker Swarm log integrations for Stackdriver

Single Point Of Administration
BindPlane provides a centralized and streamlined web UI, offering the value of having an easily manageable environment. The BindPlane UI acts as a single point of administration giving users the ability to view and manage all endpoint log collection, allowing for less time to be spent configuring JSON files.
Mass Configuration and Deployments with Templates
BindPlane logs Source configuration and Templates can be utilized to make large-scale deployments of an agent and its configuration simple. Any Source configuration change can be pushed down to your entire datacenter in a few quick steps.
JSON Log Parsing for Google Stackdriver
BindPlane’s log agents take advantage of Stackdriver’s JSON parsing and automatically breaks down and sorts data from your source technologies within Stackdriver into a JSON payload. This payload gives a more contextualized look into each log entry such as log-type, the severity level and other insights depending on each event, helping users easily sort, read and interpret their logs for better understanding and quick analysis of their data.

150+ operations data sources in a single, self-maintaining connection, including:

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