Troubleshooting Docker For Mac Install

Aug 25, 2014 - Plus, if you decide to dig deeper into Docker on your Mac, you'll be saved hours of troubleshooting. Don't say I never gave you nothing. A conda environment is like a separate python installation and so won’t have problems with your other conda environments. Then install Docker Community Edition for Windows; If you have a Windows 10 Home. This can be done on a Mac via brew install automake libtool. Download Caffe2 Source.

Installing ThingsBoard using Docker (Linux or Mac OS) IoT PaaS Demo We recommend to use ThingsBoard Professional Edition for the seamless experience and the newest features from the latest source code! Save time on the installation and configuration with several pre-provisioned devices, dashboards available in the cloud and pre-integrated email server to create new customer accounts and users. • • • • • • • This guide will help you to install and start ThingsBoard using Docker on Linux or Mac OS.

Now you'll continue to get alerts from the application, but you'll be free of any annoying notification noises associated with it. • Uncheck Play sound for notifications. I said it's an arduous process up front. Turn off notifications in mail app for mac. That'll do it.

Prerequisites • Running Depending on the database used there are three type of ThingsBoard single instance docker images: • - single instance of ThingsBoard with Cassandra database. The most performant and recommended option but requires at least 4GB of RAM.

8GB is recommended. • - single instance of ThingsBoard with PostgreSQL database. Recommended option for small servers with at least 1GB of RAM and minimum load (few messages per second). 2-4GB is recommended.

• - single instance of ThingsBoard with embedded HSQLDB database. Note: Not recommended for any evaluation or production usage and is used only for development purposes and automatic tests.

In this instruction thingsboard/tb-cassandra image will be used. You can choose any other images with different databases (see above). Execute the following command to run this docker directly. $ docker pull thingsboard/tb-cassandra $ docker stop mytb $ docker run -it -v ~/.mytb-data:/data --rm thingsboard/tb-cassandra upgrade-tb.sh $ docker start mytb NOTE: if you use different database change image name in all commands from thingsboard/tb-cassandra to thingsboard/tb-postgres or thingsboard/tb correspondingly. NOTE: replace host’s directory ~/.mytb-data with directory used during container creation. Troubleshooting DNS issues Note If you observe errors related to DNS issues, for example.

127.0.1.1:53: cannot unmarshal DNS message You may configure your system to use Google public DNS servers. See corresponding and instructions. Next steps • - These guides provide quick overview of main ThingsBoard features. Designed to be completed in 15-30 minutes.

• - Learn how to connect devices based on your connectivity technology or solution. • - These guides contain instructions how to configure complex ThingsBoard dashboards. • - Learn how to use ThingsBoard Rule Engine.

• - Learn how to use rule engine to perform basic analytics tasks. • - Learn how to connect various hardware platforms to ThingsBoard.

• - Learn about advanced ThingsBoard features. • - Learn about contribution and development in ThingsBoard.

1 2 docker load -i /Volumes/CAFFE2/c2.gpu.tutorial.0.7.0.tar docker run -it -p 8888:8888 cc2.gpu.tutorial.0.7.0 sh -c 'jupyter notebook --no-browser --ip 0.0.0.0 /caffe2_tutorials' Essentially you need to locate the tar file, whatever its name is and import it with docker load -i Windows users: you can just change “/Volumes” to “D:' or whatever the drive letter the USB was assigned and it should work. Setup Docker You’ll need Docker installed on your local PC. Skip ahead if you’ve done this already.

How to change symbols for a graph in excel on mac. It also will reduce wasted white space on the charts. It’s easy to do this in Excel. This default setting is sometimes not the look we want for our charts in particular if we want to compare the bars against each other. To have them appear closer together or of a thicker width would be better. • Right Click on the bars • Format data series • Series Options • Gap • You will see a slider • Slide left or right to change the% width between your bars This will adjust the width of your bars making them closer together or further apart.

To be sure run this command. 1 docker run -it -p 8888:8888 c2.gpu.tutorial.0.7.0 sh -c 'jupyter notebook --no-browser --ip 0.0.0.0 /caffe2_tutorials' This will output a URL. You just need to copy the provided URL/token combo into your browser and you should see the folder with tutorials. In some situations you can’t access the Jupyter server on your browser via 0.0.0.0 or localhost. You need to pull the Docker IP address (run docker-machine ip) and use that to access the Jupyter server. If this doesn’t work, check your computer’s IP address and try that.

If that doesn’t work, kill the server, start docker-machine as mentioned in troubleshooting, check its IP, then start the Jupyter server and use the docker-machine IP. Using Docker and GPUs To enable the power of your GPU while using Docker, you will want to install NVIDIA’s. Use nvidia-docker run. Instead of docker run. Troubleshooting Getting Docker to run after installation may take some prodding and setting up of the environment. 1 2 docker-machine restart default eval $(docker-machine env default) More info on this setup is found on the Caffe2 docs site in Install>OS>Docker and in Install>OS>Cloud. The Cloud page has info specific to forwarding Docker through your SSH tunnel to your cloud server.