![]() ![]() The size column shows the overall size of 5.73GB. What happened during the pull operation is only the compacted 302.25MB mentioned before was downloaded and extracted. However, the following output from docker image ls shows the iis-dnn-a82378d43adb image size as 5.73GB on disk, but that doesn’t mean it pulled and extracted that amount. This is the size of the upload/download during the push/pull operations. The following example shows an Amazon Elastic Container Registry (Amazon ECR) image called iis-dnn-a82378d43adb that has only 302.25MB compacted. During a push/pull operation, only the layers that compose your image are uploaded/download to the repository. In-built based images are already extracted on the ECS/EKS Optimized Windows AMI. Two container base images are part of the ECS/EKS Optimized Windows AMI. This may be a reality if not using the right approach to avoid expensive I/O operations. On a high-pressure container environment, where EC2 Auto Scaling is frequently triggered to add more capacity in the cluster, it may take around 4 to 8 minutes for a container to become ready from the time the EC2 Auto Scaling was triggered to the time the Windows container accepts traffic. Let’s say you are running an Amazon Elastic Container Service (Amazon ECS) cluster based on Windows or an Amazon Elastic Kubernetes Service cluster (Amazon EKS) with Windows node groups. Let’s put the comparative aside and burst the Windows container launch.īefore we dig into how to solve the problem, let’s understand it first. As an example, a developer should not run ASP.NET applications on a Linux container, nor should they run Python on a Windows container. This is true, but this comparative doesn’t bring much value to the table as each platform address completed different problems. In many cases, I also hear the following comparative: Linux Containers vs Windows Containers and how fast is the Linux when compared with Windows. In part this is true, however, it is important to demystify “the big image” and how to implement cache strategy to avoid expensive operations on the disk (the extraction) and speed up the Windows container launch. I have heard many times from customers that Windows containers aren’t fast to launch due to the container image size. This is an excellent feature to be combined with the proposed AMI generated in this blog post. Once flagged, every instance launched from the AMI will automatically launch faster. Customers can flag any Amazon Machine Image (AMI) running Microsoft Windows Server to launch faster. An example of this might be a database that needs to be started before your application container can link to it.Update: On January 11, 2022, AWS announced the ability to launch Microsoft Windows Server instances up to 65% faster on Amazon Elastic Compute Cloud (EC2). Sometimes, a container relies on another container to be ready before it should start itself. Or you can leave it as is and just implement the checkStartupState(DockerClient dockerClient, String containerId) if you still want to check state StartupCheckStrategy with an appropriate startup check mechanism in waitUntilStartupSuccessful(). ofSeconds ( 1 )) ) Other startup strategies withStartupCheckStrategy ( new MinimumDurationRunningStartupCheckStrategy ( Duration. format ( "sleep 5 & echo \"%s\"", HELLO_TESTCONTAINERS )). Public GenericContainer bboxWithMinimumDuration = new GenericContainer ( DockerImageName. The container has stopped with exit code 0. This strategy is intended for use with containers that only run briefly and exit of their own accord. Implemented in IsRunningStartupCheckStrategy class. Testcontainers just checks if container is running. In order to do that inspect is executed against the container and state parameter is extracted.Īll logic is implemented in StartupCheckStrategy child classes. Ordinarily Testcontainers will check that the container has reached the running state and has not exited. The GenericContainer.waitingFor() method accepts any valid WaitStrategy. ![]() If none of these options meet your requirements, you can create your own subclass ofĪppropriate wait mechanism in waitUntilReady(). forLogMessage ( ".*Ready to accept connections.*įor further options, check out the Wait convenience class, or the various subclasses of WaitStrategy. Public GenericContainer containerWithLogWait = new GenericContainer ( DockerImageName. Patterns for running tests inside a Docker containerĬircleCI (Cloud, Server v2.x, and Server v3.x) Minimum duration startup strategy exampleįixing Issues with Discovering A Supported Container Runtime Environment Indefinite one shot startup strategy example Waiting for a status code that matches a predicate Waiting for multiple possible status codes Waiting for containers to start or be ready Networking and communicating with containers
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