Yesterdays (ok, late post - at the last) MeetUp was first and foremost about the Container Manifesto, which aims to foster understanding about how to build and run a Container. Afterwards we figured that I missed 'Containers should start fast (thx Lukasz)' as an additional point - next time. :) For today I will just put the video in here, a separat blog post might follow - even though I feel it is not that necessary, as no code was executed. Log/Event/Metric Collection with qframe I was working the last couple of days/weeks on a my qframe ETL framework (inspired by Logstash) but written in go and focusing on containerised environments. The video gives a 20min (rough) introduction. The goal is to provide a framework that allows to model generic ETLs inspired by Logstash. Channels The framework provides a tick-channel, ticking along every once so often (5s by default). The Data channel moves messages from collectors to handlers and allows any number of filters in between. Plugins Each plugin is its own golang project. Thus, it is easily written and interchangeable. Furthermore the plan is to allow the use of GOLANG plugins, so that each plugin can be build as shared object and dynamically loaded, without the need to compile it into the resulting daemon. collector: Input plugin producing messages filter: plugin to refine/alter messages from collectors or other filters handler: output plugin to send/output the data Plugins List The following plugins are available. Collectors docker-events Hooks into moby's /events API endpoint and parses incoming events like contianer.create or `network.attach. For now SWARM events are not provided, but there is already a PR against moby (former called docker) on github. docker-stats For each incoming docker-event about a started container, this collector will spawn a goroutine to stream the /container//stats` API call. Thus, the collector gets (as close as possible) real-time metrics for a container. GELF Collector for the GELF log-driver of the docker-engine. Should be replaced by a docker-logs collector, which spawns a listener for each container like the docker-stas collector does. Supposed to be much nicer, because the logs can still be viewed via docker logs <container>. tcp Opens a TCP port which should be used by a container to send messages like AppMetrics. By using the inventory filter the metadata will be added according to the remote-IP used by the container. file Simple collector to tail a file. Filters id Relays the message - might be droped as it was used for reversing events. inventory Listens to docker-events and keeps an inventory of all containers. Can be queried by other plugins sending ContainerRequests down theData` channel. grok Allows for matching QMsg with GROK patterns (typed RegEx, much nicer to use then RegExp). docker-stats Potential filter to aggregate or transform metrics comming from the docker-stats collector. Handlers log Outputs to stdout of the daemon. influxdb Forwards metrics to an InfluxDB server. elasticsearch FOrwards QMsg to Elasticsearch. Example Run The following is a run of the docker-filter-inventory filter, which listens to docker-events and keeps track of containers. $ docker run -ti --name qframe-filter-inventory --rm \ git:(master|) -v /var/run/docker.sock:/var/run/docker.sock qnib/qframe-filter-inventory > execute CMD 'qframe-filter-inventory' 2017/04/30 20:07:10 [II] Dispatch broadcast for Back, Data and Tick 2017/04/30 20:07:10 [ INFO] inventory >> Start inventory v0.1.0 2017/04/30 20:07:10 [ INFO] docker-events >> Connected to 'moby' / v'17.05.0-ce-rc1' 2017/04/30 20:07:10 [ DEBUG] docker-events >> Already running container /qframe-filter-inventory: SetItem(bc935ed885dd875cc79be7d5d2c7c43614f63c3e463c2722bf558dd507ee5634) 2017/04/30 20:07:11 [ DEBUG] inventory >> SearcRequest for name TestCnt11493582830 2017/04/30 20:07:11 [ DEBUG] inventory >> SearcRequest for name TestCnt21493582830 2017/04/30 20:07:11 [ DEBUG] docker-events >> Just started container /TestCnt11493582830: SetItem(a62863726cb225699b9a20024fd5c817f3094c9b0715087bd73223b2b651b94a) 2017/04/30 20:07:11 [ DEBUG] inventory >> #### Received message on Data-channel: TestCnt11493582830: container.start 2017/04/30 20:07:11 [ INFO] inventory >> Received Event: container.start 2017/04/30 20:07:12 [ DEBUG] inventory >> Ticker came along: p.Inventory.CheckRequests() 2017/04/30 20:07:12 [ INFO] inventory >> SUCCESS > Request: /TestCnt11493582830 (length of PendingPendingRequests: 1) 2017/04/30 20:07:14 [ DEBUG] docker-events >> Just started container /TestCnt21493582830: SetItem(3c581fd5f484f65d2a25d50083c35d54b1275c8312a4b56de7265bd11176ed72) 2017/04/30 20:07:14 [ DEBUG] inventory >> #### Received message on Data-channel: TestCnt21493582830: container.start 2017/04/30 20:07:14 [ INFO] inventory >> Received Event: container.start 2017/04/30 20:07:15 [ DEBUG] inventory >> Ticker came along: p.Inventory.CheckRequests() 2017/04/30 20:07:15 [ INFO] inventory >> SUCCESS > Request: /TestCnt21493582830 (length of PendingPendingRequests: 0) 2017/04/30 20:07:15 [ DEBUG] inventory >> PendingRequests has length: 0 What is going on here: 2017/04/30 20:16:38.*inventory >> SearcRequest for name TestCnt.* The main.go creates two search requests which are submitted to the inventory queue. As the containers are not yet started, they are added to the Inventory.PendingRequests array. When the first container is started at 2017/04/30 20:16:39, it triggers a message to the docker-events collector, which subsequently ends up in the Inventory of filter-inventory The ticker generates a tick-event at 2017/04/30 20:16:40, which results in a run of CheckRequests and results in a response of the requests Back channel. As at 2017/04/30 20:16:42 the second container is started the search can be fulfilled and results in the second SUCCESS > Request: /TestCnt21493583397 (length of PendingPendingRequests: 0) After that the PendingRequest list is empty and the command will exit.