DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Newsletter
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • How to Integrate a Distributed Database With Event Streaming
  • Reactive Kafka With Streaming in Spring Boot
  • Kafka-Streams - Tips on How to Decrease Re-Balancing Impact for Real-Time Event Processing On Highly Loaded Topics
  • 4 Key Observability Metrics for Distributed Applications

Trending

  • Introduction to Error Prone: How to Catch Bugs at Compile Time
  • Applying Microservices Lessons to Multi-Agent AI Systems
  • Should Developers Switch From SQLite to DuckDB?
  • Member Spotlight: Shai Almong

Draft This article hasn't been published, so readers can't see it.

In moderation This article is waiting for review, so readers can't see it yet.

Deleted This article has been deleted, so readers can't see it.

  1. DZone
  2. Software Design and Architecture
  3. Cloud Architecture
  4. Docker Events and Docker Metrics Monitoring

Docker Events and Docker Metrics Monitoring

By 
Stefan Thies
·
Jun. 27, 15 · Interview
Post on X (opens in a new tab) Share on LinkedIn (opens in a new tab)
3.3K Views

Join the DZone community Save articles, join the discussion, and download Refcards and Trend Reports with a free account.

Join for free Already a member? Log in

Docker deployments can be very dynamic with containers being started and stopped, moved around the YARN or Mesos-managed clusters, having very short life spans (the so-called pets) or long uptimes (aka cattle).  Getting insight into the current and historical state of such clusters goes beyond collecting container performance metrics and sending alert notifications.  If a container dies or gets paused, for example, you may want to know about it, right?  Or maybe you’d want to be able to see that a container went belly up in retrospect when troubleshooting, wouldn’t you?

Just two weeks ago we added Docker Monitoring (docker image is right here for your pulling pleasure) to SPM.  We didn’t stop there — we’ve now expanded SPM’s Docker support by adding Docker Event collection, charting, and correlation.  Every time a container is created or destroyed, started, stopped, or when it dies, spm-agent-docker captures the appropriate event so you can later see what happened where and when, correlate it with metrics, alerts, anomalies — all of which are captured in SPM — or with any other information you have at your disposal.  The functionality and the value this brings should be pretty obvious from the annotated screenshot below.

Like this post?  Please tweet about Docker Events and Docker Metrics Monitoring

Know somebody who’d find this post useful?  Please let them know…

Bildschirmfoto 2015-06-24 um 13.56.39

Here’s the list of Docker events SPM Docker monitoring agent currently captures:

  • Version Information on Startup:
    • server-info – created by spm-agent framework with node.js and OS version info on startup
    • docker-info – Docker Version, API Version, Kernel Version on startup
  • Docker Status Events:
    • Container Lifecycle Events like
      • create, exec_create, destroy, export
    • Container Runtime Events like
      • die, exec_start, kill, oom, pause, restart, start, stop, unpause

Every time a Docker container emits one of these events spm-agent-docker will capture it in real-time, ship it over to SPM, and you’ll be able to see it as shown in the above screenshot.

Oh, and if you’re running CoreOS, you may also want to see how to index CoreOS logs into ELK/Logsene. Why? Because then you can have not only metrics and container events in one place, but also all container and application logs, too!

If you’re using Docker, we hope you find this useful!  Anything else you’d like us to add to SPM (for Docker or anyother integration)?  Leave a comment, ping @sematext, or send us email – tell us what you’d like to get for early Christmas!

Docker (software) Event Metric (unit)

Published at DZone with permission of Stefan Thies. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • How to Integrate a Distributed Database With Event Streaming
  • Reactive Kafka With Streaming in Spring Boot
  • Kafka-Streams - Tips on How to Decrease Re-Balancing Impact for Real-Time Event Processing On Highly Loaded Topics
  • 4 Key Observability Metrics for Distributed Applications

Partner Resources

×

Comments

Loading comments

The comments didn't load

Please try again in a moment.

Likes

Loading

The next likes didn't load. Please try again.

The likes didn't load

Please try again in a moment.

See who liked this

Log in or join DZone for free to see who liked this article.

Log in Join for free
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook