From the Blogosphere
Top @Docker Metrics | @DevOpsSummit #DevOps #APM #AI #CD #Monitoring
Each container runs a single process, has its own environment, utilizes virtual networks or has many methods of managing storage
By: Sematext Blog
May. 3, 2017 11:15 PM
Container Monitoring: Top Docker Metrics to Watch
Monitoring of Docker environments is challenging. Why? Because each container typically runs a single process, has its own environment, utilizes virtual networks, or has various methods of managing storage. Traditional monitoring solutions take metrics from each server and applications they run. These servers and applications running on them are typically very static, with very long uptimes. Docker deployments are different: a set of containers may run many applications, all sharing the resources of one or more underlying hosts. It's not uncommon for Docker servers to run thousands of short-term containers (e.g., for batch jobs) while a set of permanent services runs in parallel. Traditional monitoring tools not used to such dynamic environments are not suited for such deployments. On the other hand, some modern monitoring solutions (e.g. SPM from Sematext) were built with such dynamic systems in mind and even have out of the box reporting for docker monitoring. Moreover, container resource sharing calls for stricter enforcement of resource usage limits, an additional issue you must watch carefully. To make appropriate adjustments for resource quotas you need good visibility into any limits containers have reached or errors they have caused. We recommend using alerts according to defined limits; this way you can adjust limits or resource usage even before errors start happening.
Docker Containers != VMs or Servers. Forget your grandpa's old monitoring. Use monitoring designed for Docker.
Watch Resources of Your Docker Hosts
When the resource usage is optimized, a high CPU utilization might actually be expected and even desired, and alerts might make sense only for when CPU utilisation drops (service outages) or increases for a longer period over some max limit (e.g. 85%).
An overutilized Docker host is a sign of trouble.
No, Linux didn't eat your RAM.
Host Disk Space
Good kids clean up their rooms.
Because disk space is very critical it makes sense to define alerts for disk space utilization to serve as early warnings and provide enough time to clean up disks or add additional volumes. For example, SPM automatically sets alert rules for disk space usage for you, so you don't have to remember to do it.
A good practice is to run tasks to clean up the disk by removing unused containers and images frequently.
Total Number of Running Containers
When cluster managers like Docker Swarm, Mesos, Kubernetes, CoreOS/Fleet automatically schedule containers to run on different hosts using different scheduling policies, the number of containers running on each host can help one verify the activated scheduling policies. A stacked bar chart displaying the number of containers on each host and the total number of containers provides a quick visualization of how the cluster manager distributed the containers across the available hosts.
Container counts per Docker host over time
Use anomaly detection, not threshold-based alerts
This metric can have different "patterns" depending on the use case. For example, batch jobs running in containers vs. long running services commonly result in different container count patterns. A batch job typically starts a container on demand, or starts it periodically, and the container with that job terminates after a relatively short time. In such a scenario one might see a big variation in the number of containers running resulting in a "spiky" container count metric. On the other hand, long running services such as web servers or databases typically run until they get re-deployed during software updates. Although scaling mechanisms might increase or decrease the number of containers depending on load, traffic, and other factors, the container count metric will typically be relatively steady because in such cases containers are often added and removed more gradually. Because of that, there is no general pattern we could use for a default Docker alert rule on the number of running containers.
Nevertheless, alerts based on anomaly detection, which detect sudden changes in the number of the containers in total (or for specific hosts) in a short time window, can be very handy for most of the use cases. The simple threshold-based alerts make sense only when the maximum or minimum number of running containers is known, and in dynamic environments that scale up and down based on external factors, this is often not the case.
Use modern Docker monitoring solutions
Container CPU - Throttled CPU Time
Container CPU usage and throttled CPU time
The following screenshot shows containers with 5% CPU quota using the command "docker run -cpu-quota=5000 nginx", we see clearly how the throttled CPU grows until it reaches around 5%, enforced by the Docker engine.
Container CPU usage and throttled CPU time with CPU quota of 5%
Container Memory - Fail Counters
Docker Memory Fail Counters tell you when containers need more memory.
A spike in memory fail counters is a critical event and putting alerts on the memory fail counter is very helpful to detect wrong settings for the memory limits or to discover containers that try to consume more memory than expected.
Container Memory Usage
Container memory usage
Don't like to see your container swapping?
Container swap, memory pages, and swap rate
Container Disk I/O
Container I/O throughput
To limit a Docker container from eating all your disk IO use
Container Network Metrics
Moreover, not only errors or dropped packets are important to watch out for. Today, most of the applications are deeply dependent on network communication. Throughput of virtual networks could be a bottleneck especially for containers like load balancers. In addition, the network traffic might be a good indicator how much applications are used by clients and sometimes you might see high spikes, which could indicate denial of service attacks, load tests, or a failure in client apps. So watch the network traffic - it is a useful metric in many cases.
Network traffic and transmission rates
@DevOpsSummit at Cloud Expo taking place June 6-8, 2017, at Javits Center, New York City, and is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world.
DevOps at Cloud Expo / @ThingsExpo 2017 New York
DevOps at Cloud Expo / @ThingsExpo 2017 Silicon Valley
Download Show Prospectus ▸ Here
The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
@DevOpsSummit will expand the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike. Recent research has shown that DevOps dramatically reduces development time, the amount of enterprise IT professionals put out fires, and support time generally. Time spent on infrastructure development is significantly increased, and DevOps practitioners report more software releases and higher quality. Sponsors of @DevOpsSummit will benefit from unmatched branding, profile building and lead generation opportunities through:
For more information on sponsorship, exhibit, and keynote opportunities, contact Carmen Gonzalez by email at events (at) sys-con.com, or by phone 201 802-3021.
The World's Largest "Cloud Digital Transformation" Event
@CloudExpo / @ThingsExpo 2017 New York
@CloudExpo / @ThingsExpo 2017 Silicon Valley
Sponsors of Cloud Expo / @ThingsExpo will benefit from unmatched branding, profile building and lead generation opportunities through:
For more information on sponsorship, exhibit, and keynote opportunities, contact Carmen Gonzalez (@GonzalezCarmen) today by email at events (at) sys-con.com, or by phone 201 802-3021.
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
Track 1. FinTech
Delegates to Cloud Expo / @ThingsExpo will be able to attend 8 simultaneous, information-packed education tracks.
There are over 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.
Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and 'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets.
Financial Technology - or FinTech - Is Now Part of the @CloudExpo Program!
Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.
Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses.
FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry. FinTech is a natural fit with cloud computing, as new services are quickly developed, deployed, and scaled on public, private, and hybrid clouds.
More than US$20 billion in venture capital is being invested in FinTech this year. @CloudExpo is pleased to bring you the latest FinTech developments as an integral part of our program, starting at the 20th International Cloud Expo June 6-8, 2017 in New York City and October 31 - November 2, 2017 in Silicon Valley.
The upcoming 20th International @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.
Submit your speaking proposal today! ▸ Here
Our Top 100 Sponsors and the Leading "Digital Transformation" Companies
(ISC)2, 24Notion (Bronze Sponsor), 910Telecom, Accelertite (Gold Sponsor), Addteq, Adobe (Bronze Sponsor), Aeroybyte, Alert Logic, Anexia, AppNeta, Avere Systems, BMC Software (Silver Sponsor), Bsquare Corporation (Silver Sponsor), BZ Media (Media Sponsor), Catchpoint Systems (Silver Sponsor), CDS Global Cloud, Cemware, Chetu Inc., China Unicom, Cloud Raxak, CloudBerry (Media Sponsor), Cloudbric, Coalfire Systems, CollabNet, Inc. (Silver Sponsor), Column Technologies, Commvault (Bronze Sponsor), Connect2.me, ContentMX (Bronze Sponsor), CrowdReviews (Media Sponsor) CyberTrend (Media Sponsor), DataCenterDynamics (Media Sponsor), Delaplex, DICE (Bronze Sponsor), EastBanc Technologies, eCube Systems, Embotics, Enzu Inc., Ericsson (Gold Sponsor), FalconStor, Formation Data Systems, Fusion, Hanu Software, HGST, Inc. (Bronze Sponsor), Hitrons Solutions, IBM BlueBox, IBM Bluemix, IBM Cloud (Platinum Sponsor), IBM Cloud Data Services/Cloudant (Platinum Sponsor), IBM DevOps (Platinum Sponsor), iDevices, Industrial Internet of Things Consortium (Association Sponsor), Impinger Technologies, Interface Masters, Intel (Keynote Sponsor), Interoute (Bronze Sponsor), IQP Corporation, Isomorphic Software, Japan IoT Consortium, Kintone Corporation (Bronze Sponsor), LeaseWeb USA, LinearHub, MangoApps, MathFreeOn, Men & Mice, MobiDev, New Relic, Inc. (Bronze Sponsor), New York Times, Niagara Networks, Numerex, NVIDIA Corporation (AI Session Sponsor), Object Management Group (Association Sponsor), On The Avenue Marketing, Oracle MySQL, Peak10, Inc., Penta Security, Plasma Corporation, Pulzze Systems, Pythian (Bronze Sponsor), Cosmos, RackN, ReadyTalk (Silver Sponsor), Roma Software, Roundee.io, Secure Channels Inc., SD Times (Media Sponsor), SoftLayer (Platinum Sponsor), SoftNet Solutions, Solinea Inc., SpeedyCloud, SSLGURU LLC, StarNet, Stratoscale, Streamliner, SuperAdmins, TechTarget (Media Sponsor), TelecomReseller (Media Sponsor), Tintri (Welcome Reception Sponsor), TMCnet (Media Sponsor), Transparent Cloud Computing Consortium, Veeam, Venafi, Violin Memory, VAI Software, Zerto
About SYS-CON Media & Events
Cloud Expo®, Big Data Expo® and @ThingsExpo® are registered trademarks of Cloud Expo, Inc., a SYS-CON Events company.
Reader Feedback: Page 1 of 1