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Open Source Docker Monitoring | @DevOpsSummit #DevOps #Docker #Containers

Container orchestration helps you manage your containers, their placement, their resources, and their whole life cycle

Open Source Docker Monitoring and Logging
By Stefan Thies

Pets ⇒ Cattle ⇒ Orchestration

Docker is growing by leaps and bounds, and along with it its ecosystem.  Being light, the predominant container deployment involves running just a single app or service inside each container.  Most software products and services are made up of at least several such apps/services.  We all want all our apps/services to be highly available and fault tolerant.  Thus, Docker containers in an organization quickly start popping up like mushrooms after the rain.  They multiply faster than rabbits. While in the beginning we play with them like cute little pets, as their number quickly grow we realize we are dealing with aherd of cattle, implying we’ve become cowboys.  Managing a herd with your two hands, a horse, and a lasso willget you only so far.  You won’t be able to ride after each and every calf that wonders in the wrong direction.  To get back to containers from this zoological analogy – operating so many moving pieces at scale is impossible without orchestration – this is why we’ve seen the rise of Docker Swarm, Kubernetes, Mesos, CoreOS, RancherOS and so on.

Pets ⇒ Cattle ⇒ Orchestration + Operational Insights
Container orchestration helps you manage your containers, their placement, their resources, and their whole life cycle.  While containers and applications in them are running, in addition to the whole life cycle management we need container monitoring and log management so we can troubleshoot performance or stability issues, debug or tune applications, and so on.  Just like with orchestration, there are a number of open-source container monitoring and logging tools.  It’s great to have choices, but having lots of them means you need to evaluate and compare them to pick the one that best matches your needs.

DevOps Tools Comparison
We’ve open-sourced our Sematext Docker Agent (SDA for short) which works with SPM for monitoring and Logsene for log management (think of it as ELK as a Service), and wanted to provide a high level comparison of SDA and several popular Docker monitoring and logging tools, like CAdvisor, Logspout, and others.  In the following table we group tools by functionality and include monitoring agents, log collectors and shippers, storage backends, and tools that provide the UI and visualizations.  For each functionality we list in the “Common Tools” column one or more popular open-source tools that provide that functionality.  An empty “Common Tools” cell means there are no popular open-source tools that provide it, or at least we are not aware of it — if we messed something up, please leave a comment.

Functionality Common Tools Sematext Tools
Collect Logs from Docker API
(including auto-discovery of new containers)
Logspout Sematext Docker Agent
Log routing Logspout
Routing setup for containers via HTTP API to syslog, redis, kafka, logstash
Docker Logging Drivers (e.g. syslog, journald, fluentd, etc.)
Sematext Docker Agent
(routing of logs to different indices based on container labels)
Automatic log tagging
(with Docker Compose or Swarm or Kubernetes metadata)
For Kubernetes: fluentd-elasticsearch, assumes Elasticsearch deployed locally Sematext Docker Agent
Collect Docker Metrics CAdvisor Sematext Docker Agent
Collect Docker Events ? Sematext Docker Agent
Logs format detection
(most tools need a static setup per logfile/application)
? Sematext Docker Agent
(out of the box format detection and parsing; the parser and the logagent-js pattern library is open source)
Logs parsing and shipping Fluentd
Logstash
rsyslog
syslog-ng
Sematext Docker Agent
Logs storage and indexing Elasticsearch
Solr
Logsene
(exposes Elasticsearch API)
Logs anomaly detection and alerting ? Logsene
Log search and analytics Kibana
Grafana
Logsene
(Logsene’s own UI or integrated Kibana, or Grafana connected to Logsene via Elasticsearch data source)
Metrics storage and aggregation Graphite
OpenTSDB
KairosDB
Elasticsearch
Influxdb
Prometheus
SPM
Metrics charts and dashboards Grafana
Kibana
SPM
Metrics anomaly detection and alerting Influxdb
Prometheus
SPM
Correlation of Metrics, Logs and Events ? SPM & Logsene integration

This table shows a few things:

  • Some of the functionality provided by SPM and Logsene is not available in some of the most popular open-source monitoring and logging tools included here
  • Some of the SPM and Logsene functionality is indeed provided by some of the open-source tools, however none of them seems to encompass all the features, forcing one to mix and match and head down the tech debt-ridden Franken-monitoring path
  • Try it yourself in the MindMap below – pick a few functionalities and see how many different tools you might have to use?

Read the original blog entry...

More Stories By Sematext Blog

Sematext is a globally distributed organization that builds innovative Cloud and On Premises solutions for performance monitoring, alerting and anomaly detection (SPM), log management and analytics (Logsene), and search analytics (SSA). We also provide Search and Big Data consulting services and offer 24/7 production support for Solr and Elasticsearch.

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