glasslat.blogg.se - Adding docker on mac to jira on mac

#ADDING DOCKER ON MAC TO JIRA ON MAC INSTALL#
#ADDING DOCKER ON MAC TO JIRA ON MAC UPDATE#

A dialog appears listing printers on your local network. If you don’t see your printer listed on the left, click the Add button at the bottom of the list.

See the Apple Support article Connect an AirPrint printer to a Wi-Fi network.Īdd the printer to your list of available printers: Choose Apple menu > System Preferences, then click Printers & Scanners. After setting up, you can disconnect the cable from your printer and Mac, and the printer should remain connected to the Wi-Fi network.

#ADDING DOCKER ON MAC TO JIRA ON MAC INSTALL#

After connecting the printer to your Mac, install the Mac software that came with the printer and use the printer’s setup assistant to connect the printer to your Wi-Fi network. If you have a Wi-Fi printer, you might need to connect the printer to your Mac with a USB cable to set up Wi-Fi printing. Turn on the printer and make sure it’s not displaying any errors.Ĭonnect your printer: Follow the instructions that came with the printer to connect it to the network. Prepare your printer: Use the instructions that came with your printer to unpack the printer, install ink or toner, and add paper. If you have an AirPrint printer, you don’t need to check for software updates.

#ADDING DOCKER ON MAC TO JIRA ON MAC UPDATE#

On your Mac, update your printer software: Check with your printer’s manufacturer to see if any updates are available for your printer model. If your printer isn’t available, you can add it. To check, choose File > Print, click the Printer pop-up menu, choose Nearby Printers or Printers & Scanners preferences, then choose your printer. If your Mac and printer are already connected to the same Wi-Fi network, the printer might be available to you without any setup.

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Not all developers are going to remember to go delete the cache manually when they merge such changes to master. The major issue here is if a developer modifies the Dockerfile (even adding comments to a line can invalidate a step!) then the cache becomes useless, extending our build time. Is this a correct description of how caching works? If so, is there any plan to fix this? That is not how docker caches when you run your own build server with its own docker daemon. It only uploads any cache for future use if there was no cache to start.

So it appears that the docker cache is very static – that is, it isn't extracting all layers built by the current run of docker build and adding them to the existing cache. Then I ran the build twice again and it cached properly. I then deleted the Docker cache in the web UI:

It showed that it was downloading the cache during the "Build setup" phase but then at the end it didn't upload any new cache and the layers were all rebuilt. I then confirmed that if I rebuilt my branch with that dockerfile multiple times in pipelines that it wasn't using cache.

if I built once, then modified some file in our source tree, the cache was invalidated at the correct step (the on that adds most of the source).

if I built twice in a row, the second run found cache for all layers.

First I checked locally with docker on my mac (fairly recent version of docker) that: I got it caching but then as I kept tweaking the Dockerfile, I noticed it stopped caching. As we transition to pipelines, I've been trying to sort out our docker caching so that it reliably caches (and to fix some actual bugs that had crept in but weren't terribly noticeable with our previous build system).