Aws efs mount command hangs update#
Aws efs mount command hangs full#

I'd already checked the output of fuser -vm / lsof +D, mount and cat /proc/mounts, checked whether some old nfs-kernel-server was running, turned off quotas, attempted (but failed) a umount -f and all but resigned myself to abandoning 924 days' uptime before finally checking the output of losetup and finding two stale configured-but-not-mounted loopbacks: parsley:/mnt# cat /proc/mounts

Aws efs mount command hangs full#

Note: To use a AWS S3 storage bucket to store the cache, object lock must be turned off.Įxample of the buildkit command to export the full cache to the s3 backend.To add to BruceCran's comment above, the cause for my manifestation of this problem just now was a stale loopback mount.

Of course, locally or on a shared volume such as an AWS Elastic Filesystem (EFS) mount would be the fastest, but considering price and ease of use, I prefer to cache the layers in a AWS S3 storage bucket. Docker BuildKit solves this problem by allowing us to export the cache to a few different storage backends. This is because of how the build cache is built using the build context that was provided at build time. Typically, only builds done on the same machine are fully cached. This specifically presents a challenge when using hosts that run a single job, then disappear. This is necessary so that the following builds of an image are significantly sped up. One of the larger challenges in a build system is caching image layers for future builds. WORKDIR does not initially seem like it would add an additional layer, but under the hood it is effectively creating and changing into that directory. The reason the resulting image has 9 layers, is a combination of the 4 layers from the FROM: golang:alpine image, and then the 5 from the Dockerfile from above. Note: To see the Dockerfile used to build the golang:alpine image we can inspect it in Dockerhub. Each instruction in a Dockerfile that modifies the filesystem creates a new layer. What makes up the final docker image is a composition of its layers. These are typically stored in an image repository, such as ECR, or Nexus I do like to retain the images from the resulting builds though, especially in the case that we would like to keep the history of images built for compliance reasons. This approach also negates the need for the standard cleanup procedures one would use in a typical build pipeline, such as clearing old artifacts, build logs, lingering docker images, docker volumes and networks. Unfortunately, this means re-pulling and configuring the environment for each run, that’s not all that bad though, especially with Docker Buildkit.Įphemeral runners also ensure that artifacts from previous builds aren’t hanging around and consuming storage space. To eliminate this, I prefer to use an entirely ephemeral build system. This should happen fairly quickly, and result in a really quick image build.īuilding Docker images in an environment that is not ephemeral, can quickly lead to a sprawl of tools, and machine specific settings that enable specific builds.

Now, the only thing that should not be a cache hit when creating the resulting image is copying in the application code.

Aws efs mount command hangs update#

Next I’ll copy in the Gemfile and Gemfile.lock, again, assuming they haven’t changed, it will be cache hit, so there is no need to update dependencies. This will be cached, if the package.json doesn’t change, so assuming dependencies have not changed, we will get a cache hit, and not have to re-install dependencies each time. This example first sets a working directory, then copies in the package.json file. Enter fullscreen mode Exit fullscreen mode