How to containerize legacy code into Red Hat OpenShift on Amazon (ROSA)

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{"value":"### **Introduction**\nEnterprise customers have trained their IT staff on legacy programming languages, like COBOL, for decades. These legacy programs have stood the test of time and still run many mission-critical business applications which are typical for these legacy platforms. While various migration solutions like [AWS Blu Age](https://aws.amazon.com/mainframe-modernization/patterns/refactor/?mainframe-blogs.sort-by=item.additionalFields.createdDate&mainframe-blogs.sort-order=desc) and [AWS Micro Focus Enterprise technology](https://aws.amazon.com/mainframe-modernization/patterns/replatform/) exist for legacy applications, this often means that the customer will have to learn a new programming language. In this post, we show you how to containerise legacy applications on AWS with minimal effort.\n\n### **The Existing Legacy Application**\nCOBOL is still widely used in applications deployed on mainframe computers which run large-scale batch and transactional processing jobs. The example COBOL application that we are going to use in this post, reads a comma separated values (CSV) input file and generates a report. The input file is regularly uploaded to the mainframe side via File Transfer Protocol (FTP) daily and a COBOL application processes it as a batch job.\n\nIn the following section, the example input file is a COBOL program that reformats the output into a tabular style.\n\nExample input file:\n\n```\nAlejandro, Rosalez, 123 Any Street, Any Town, NS, 1234\nAkua, Mansa, 234 Some Street, Some Town, VI, 2345\nCarlos, Salazar, 345 North Street, Any Town, WA, 9567 \nNikhil, Jayasha, 839 Some Crescent, Some Town, NT, 9023\nRichard, Roe, 456 Left Street, Some Town, IR, 8934 \nKwesi, Manu, 567 Right Avenue, Any Town, SA, 1030 \nWang, Xiulan, 678 Some Street, Some Town, QL,7890\n```\n\nThe COBOL application:\n\n```\n>>SOURCE FORMAT FREE\nIDENTIFICATION DIVISION.\nPROGRAM-ID. READ-CSV.\nAUTHOR Hantzley Tauckoor.\nENVIRONMENT DIVISION.\nINPUT-OUTPUT SECTION.\nFILE-CONTROL.\n SELECT INPUT-FILE\n ASSIGN TO \"/nfs_dir/input/info.csv\"\n ORGANIZATION IS LINE SEQUENTIAL\n ACCESS MODE IS SEQUENTIAL.\n \n SELECT OUTPUT-FILE\n ASSIGN TO \"/nfs_dir/output/output.txt\"\n ORGANIZATION IS LINE SEQUENTIAL\n ACCESS MODE IS SEQUENTIAL.\n \nDATA DIVISION.\nFILE SECTION.\nFD INPUT-FILE RECORD CONTAINS 80 CHARACTERS.\n01 INPUT-RECORD PIC X(80).\nFD OUTPUT-FILE RECORD CONTAINS 160 CHARACTERS.\n01 OUTPUT-RECORD.\n 05 OUT-LAST-NAME PIC X(25).\n 05 FILLER PIC X(5).\n 05 OUT-FIRST-NAME PIC X(15).\n 05 FILLER PIC X(5).\n 05 OUT-STREET PIC X(30).\n 05 FILLER PIC X(5).\n 05 OUT-CITY PIC X(15).\n 05 FILLER PIC X(5).\n 05 OUT-STATE PIC XXX.\n 05 FILLER PIC X(5).\n 05 OUT-ZIP PIC X(10).\n 05 FILLER PIC X(38).\n \nWORKING-STORAGE SECTION.\n01 SEPARATE-IT.\n 05 LAST_NAME PIC X(25).\n 05 FIRST_NAME PIC X(15).\n 05 STREET_ADDR PIC X(30).\n 05 CITY PIC X(15).\n 05 STATE PIC XXX.\n 05 ZIP PIC X(10).\nPROCEDURE DIVISION.\nSTART-ROUTINE.\n OPEN INPUT INPUT-FILE.\n OPEN OUTPUT OUTPUT-FILE.\nREAD-ROUTINE.\n MOVE SPACES TO INPUT-RECORD.\n READ INPUT-FILE AT END GO TO END-ROUTINE.\n MOVE SPACES TO SEPARATE-IT.\n UNSTRING INPUT-RECORD DELIMITED BY \",\"\n INTO LAST_NAME, FIRST_NAME, STREET_ADDR,\n CITY, STATE, ZIP.\n MOVE SPACES TO OUTPUT-RECORD.\n MOVE LAST_NAME TO OUT-LAST-NAME.\n MOVE FIRST_NAME TO OUT-FIRST-NAME.\n MOVE STREET_ADDR TO OUT-STREET.\n MOVE CITY TO OUT-CITY.\n MOVE STATE TO OUT-STATE.\n MOVE ZIP TO OUT-ZIP.\n WRITE OUTPUT-RECORD.\n GO TO READ-ROUTINE.\nEND-ROUTINE.\n CLOSE INPUT-FILE.\n CLOSE OUTPUT-FILE.\n STOP RUN.\n```\n\nThe output file:\n\n```\nAlejandro \tRosalez \t123 Any Street \t \tAny Town \tNS \t1234\nAkua \t \tMansa \t \t234 Some Street \tSome Town \tVI \t2345\nCarlos \t \tSalazar \t345 North Street \tAny Town \tWA \t9567\nNikhil \t \tJayasha \t839 Some Crescent \tSome Town \tNT \t9023\nRichard \tRoe \t \t456 Left Street \tSome Town \tIR \t8934\nKwesi \t \tManu \t \t567 Right Avenue \tAny Town \tSA \t1030\nWang \t \tXiulan \t \t678 Some Street \tSome Town \tQL \t7890\n```\n\n### **Solution overview**\n\nWe are going to keep the code unchanged but wrap it up into a container on a [Red Hat OpenShift on AWS](https://docs.aws.amazon.com/ROSA/?id=docs_gateway) (ROSA) cluster. The application is run as a cron job. These jobs regularly (i.e., every minute) select the input files from a specific directory on a shared filesystem, generate the output, and place the output into the shared filesystem in another directory. We use an Elastic File System (EFS) filesystem to store the input CSV and output files to make them accessible by programs that provide the input files.\n\nThe following diagram shows the solution architecture:\n\n![image.png](https://dev-media.amazoncloud.cn/0e219039fcda4bd08cd4b77688fb062c_image.png)\n\nThese are the steps that we take to implement this solution:\n\n1. The feasibility of running the COBOL code on Linux\n2. Containerizing the code\n3. Preparing the AWS environment (code and container repositories, shared filesystem, and the OpenShift cluster)\n4. Deploying the code on ROSA\n5. Test the application\n\n\nIn the following sections, we show how each of the above-mentioned steps is performed. For further information, see the [Red Hate OpenShift Service on AWS (ROSA)](https://docs.aws.amazon.com/ROSA/latest/userguide/getting-started.html) documentation.\n\n#### **1. The feasibility of running COBOL on Linux**\n\nRunning COBOL applications is not limited to the IBM operating systems. There are a few open source COBOL compilers available that can be easily compiled for Linux environments. [IBM’s official COBOL complier](https://www.ibm.com/products/cobol-compiler-linux-x86) is also an option, but for this demo we are going to use [GnuCOBOL](https://gnucobol.sourceforge.io/). While [GnuCOBOL](https://gnucobol.sourceforge.io/) can be installed from [the source code](https://ixpeering.dl.sourceforge.net/project/gnucobol/gnucobol/3.1/gnucobol-3.1.2.tar.xz), in some environments (e.g., Ubuntu), the compiler is installed via the package managers easily:\n\n```\n$ apt install gnucobol -y\n\n$ dpkg -L gnucobol | grep \"cobc$\"\n/usr/bin/cobc\n\n$ cobc -V\ncobc (GnuCOBOL) 2.2.0\nCopyright (C) 2017 Free Software Foundation, Inc.\nLicense GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>\nThis is free software; see the source for copying conditions. There is NO\nwarranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.\nWritten by Keisuke Nishida, Roger While, Ron Norman, Simon Sobisch, Edward Hart\nBuilt Jul 17 2018 20:29:40\nPackaged Sep 06 2017 18:48:43 UTC\nC version \"8.1.0\"\n```\n\nCompile and run a test code:\n\n```\n$ cat test-program.cbl\n IDENTIFICATION DIVISION.\n PROGRAM-ID. test-program.\n\n PROCEDURE DIVISION.\n DisplayPrompt.\n DISPLAY \"Hello World!\".\n STOP RUN.\n\n$ cobc -free -x test-program.cbl\n\n$ ./test-program\nHello World!\n```\n\nWith the COBOL compiler working on Linux, we have a similar environment on the Linux containers as well.\n\n#### **2. Containerization**\n\nCOBOL is a [compiled language](https://en.wikipedia.org/wiki/Compiled_language), which means the program needs to be recompiled if the source code is changed. Depending on the use case, we might choose to include the COBOL compiler in the container image or not. If it is included, then the container dynamically builds the executable program from the source code. However, this add some latency to the runtime. Let’s discuss the pros and cons of each approach.\n\n**Create a container image based on the compiled and executable version of the program:**\n\nPro: Faster container creation. Once the container is created from the image, it will be ready to execute the code immediately because the code is already pre-compiled.\n\nCon: A new container image needs to be created if the code is modified. In other words, a pipeline will be needed to automatically compile the program and build an updated version of the container image.\n\nCreate a container image which can compile the program:\n\nPro: Less complexity in terms of building the pipeline for the container image.\n\nCon: While this might be acceptable for long-running containers, this approach adds unnecessary compilation overhead. In other words, anytime the container is executed, the code will be compiled and occurs even if it has not been modified.\n\nIn this post, we chose the second approach because of its simplicity.\n\nThe following steps explain how to create a container image capable of compiling and running COBOL programs:\n\n**Package the code into a Docker image:**\n\nTo better understand how the Dockerfile has be constructed, let’s review the different pieces and elements first:\n\n```/nfs_dir```: The shared filesystem to store the input CSV files in /nfs_dir/input/, and output reports in /nfs_dir/output/.\n\n```demo.cbl```: The COBOL program that transforms the input file and saves it into the output file. We use the same code that is already running on mainframe.\n\n```batch-process.sh```: A shell script which finds the input files in /nfs_dir/input directory and generates an output file for each one of them.\n\n```\n#!/usr/bin/bash\n\ncobol_code=\"/home/demo.cbl\"\nshared_fs=\"/nfs_dir\"\nexecutable_program=\"${shared_fs}/executable_program\"\n\nif [ -f $cobol_code ]\nthen\n /usr/bin/cobc -free -x ${cobol_code} -o ${executable_program}\nfi\n\nif [ -f ${executable_program} ]\nthen\n input_dir=${shared_fs}/input\n output_dir=/nfs_dir/output\n ls $input_dir | while read file_to_process\n do\n ${executable_program} ${input_dir}/${file_to_process}\n rm -f ${input_dir}/${file_to_process}\n echo \"${input_dir}/${file_to_process} has been processed.\"\n done\nelse\n echo \"${executable_program} not found.\"\nfi\n\necho \"The batch job has been completed at `date`\" \n```\n\ncobol-crob-job: A Linux ```crontab``` configuration file which allows batch-process.sh to be executed regularly every minute:\n\n```\n* * * * * /home/batch-process.sh >> /var/log/cron.log 2>&1\n#\n```\n\nThe following sample Dockerfile copies ```cobol-cron-job``` to the container. In the **COPY** sections, the necessary files are copied from the current directory in our workstation to the container image. In the **RUN** section, the required packages are installed and the cron mechanism is configured. And finally, the Command (**CMD**) section contains what executes when the container runs. It starts the ```cron daemon``` and prints the ```cron.log``` in the console:\n\nDockerfile:\n\n```\nFROM ubuntu:latest\nCOPY cobol-cron-job /etc/cron.d/cobol-cron-job\nCOPY batch-process.sh demo.cbl /home/\nRUN apt-get update && apt-get install gnucobol cron -y && \\\n chmod 0744 /etc/cron.d/cobol-cron-job && \\\n chmod +x /home/batch-process.sh && \\\n crontab /etc/cron.d/cobol-cron-job && \\\n touch /var/log/cron.log \nCMD cron && tail -f /var/log/cron.log\nCreate the Docker image:\n\nimage=\"111122223333.dkr.ecr.ap-southeast-2.amazonaws.com/my-ecr-repo:cobol\"\nsudo docker image rm $image --force 2>/dev/null\nsudo docker build --no-cache -t $image .\n```\n\nTest the Docker image locally:\n\n```\n# Delete the container if already exists\nsudo docker rm `docker ps -a | grep test_container | awk '{print $1}'` --force \n\n# Create a new container\nsudo docker run --name test_container $image &\n\n# Wait for at least one cron job to be completed after a minute:\nsleep 65 \n\n# Check the cron log:\nsudo docker exec -it test_container tail -f /var/log/cron.log\n```\n\nHere is sample output:\n\n```\nThe batch job has been completed at Fri Jun 17 02:34:01 UTC 2022\n```\n\nPush the image to the repository. We will be using [Amazon Elastic Container Registry (ECR)](https://docs.aws.amazon.com/AmazonECR/latest/userguide/repository-create.html):\n\n```\n# Login to ECR\naws ecr get-login-password --region ap-southeast-2 | sudo docker login --username AWS --password-stdin 111122223333.dkr.ecr.ap-southeast-2.amazonaws.com\n\n# Upload the container image to ECR:\nsudo docker push $image\n```\n\n#### **3. Preparing an Amazon EFS file system for the cluster**\n\n[Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) is a simple, serverless, elastic filesystem that makes it easy to set up, scale, and cost-optimize file storage. To get more information about [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) and how set it up from the [AWS Management Console](https://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/learn-whats-new.html), please follow the step in [this AWS blog post](https://aws.amazon.com/blogs/storage/making-it-even-simpler-to-get-started-with-amazon-efs/). In our scenario, [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) will be the shared Network File System (NFS) to store the inputs of the COBOL application that runs on [ROSA](https://docs.aws.amazon.com/ROSA/?id=docs_gateway). We also need to create an access point for the file system. According to the [EFS documentation](https://docs.aws.amazon.com/efs/latest/ug/efs-access-points.html), [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) access points are application-specific entry points into an [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) file system that make it easier to manage application access to shared datasets.\n\nInstall the [**AWS EFS Operator**](https://github.com/openshift/aws-efs-operator) on [**ROSA**](https://docs.aws.amazon.com/ROSA/?id=docs_gateway):\n\nMake sure AWS EFS Operator has been installed on the cluster’s OperatorHub. This enables the [ROSA](https://docs.aws.amazon.com/ROSA/?id=docs_gateway) cluster to understand how to interact with [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway). For more information about operators, please refer to the [OpenShift documentation](https://docs.openshift.com/container-platform/4.8/operators/understanding/olm-understanding-operatorhub.html).\n\n![image.png](https://dev-media.amazoncloud.cn/b588e660017e46ffa0880ae4273f74fd_image.png)\n\nCreate a [**shared volume**](https://github.com/openshift/aws-efs-operator/blob/master/README.md#working-with-sharedvolume-resources) in the [**ROSA**](https://docs.aws.amazon.com/ROSA/?id=docs_gateway) cluster based on [**Amazon EFS**](https://docs.aws.amazon.com/efs/?id=docs_gateway):\n\nTo create an [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway)-based shared volume through [OpenShift’s EFS Operator](https://docs.openshift.com/container-platform/4.8/operators/understanding/olm-understanding-operatorhub.html), we need the file system and access point IDs from the [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) console or [AWS Command Line Interface](https://docs.aws.amazon.com/cli/?id=docs_gateway) (CLI):\n\n```\naws efs describe-file-systems | jq .FileSystems[].FileSystemId\n\"fs-37e7e20f\"\n\naws efs describe-access-points |jq .AccessPoints[].AccessPointId\n\"fsap-053d9cb60c9c1eec1\"\n```\n\n\nWith the file system and access point IDs ready, we create a ```SharedVolume``` object in the cluster. For more information, please visit the [ROSA documentation](https://docs.openshift.com/rosa/storage/persistent_storage/osd-persistent-storage-aws.html).\n\nCreate a ```SharedVolume```:\n\n```\n$ cat <<EoF > efs-shared-volume1.yaml\napiVersion: aws-efs.managed.openshift.io/v1alpha1\nkind: SharedVolume\nmetadata:\n name: efs-shared-volume1\n namespace: rosaproject1\nspec:\n accessPointID: fsap-0fa06aa2d435e5750\n fileSystemID: fs-6728f5e7\n\nEoF\n\noc create -f efs-shared-volume1.yaml\nsharedvolume.aws-efs.managed.openshift.io/efs-shared-volume1 created\n```\n\nAs a result, a PersistentVolumeClaim is created and mounted in the pods:\n\n```\noc get pvc pvc-efs-shared-volume1\nNAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE\npvc-efs-shared-volume1 Bound pv-rosaproject1-efs-shared-volume1 1Gi \n```\n\n#### **4. Deploying the application on ROSA**\n\nThe container image created is uploaded to a private repository in [Amazon ECR](https://docs.aws.amazon.com/ecr/?id=docs_gateway). That is why we need to create a Secret in [OpenShift](https://docs.openshift.com/container-platform/4.8/operators/understanding/olm-understanding-operatorhub.html) to pull the image. Since the shared file system has also been created, that the last task is to define a pod and launch the application as part of it.\n\nDon’t forget to modify the security group of the [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) mount target and allow the inbound access from the [ROSA](https://docs.aws.amazon.com/ROSA/?id=docs_gateway) cluster. The worker nodes have a specific security group which can be allow-listed on the [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) side.\n\n**Create a Secret:**\n\nSave the [Amazon ECR](https://docs.aws.amazon.com/ecr/?id=docs_gateway) password to ~/.docker/config.json:\n\n```\n$ aws ecr get-login-password --region ap-southeast-2 | sudo docker login --username AWS --password-stdin 111122223333.dkr.ecr.ap-southeast-2.amazonaws.com\n```\n\nCreate a generic password in OpenShift from the password file create above:\n\n```\n$ sudo cp /root/.docker/config.json /tmp; sudo chmod +r /tmp/config.json\n\n$ oc create secret generic ecr-secret --from-file=.dockerconfigjson=/tmp/config.json --type=kubernetes.io/dockerconfigjson \n```\n\nNow pods can pull images from ECR using the newly created secret:\n\n```\n$ oc get secret ecr-secret\nNAME TYPE DATA AGE\necr-secret kubernetes.io/dockerconfigjson 1 6m6s\n```\n\nCreate a pod that mounts the shared file system and uses the Amazon ECR-based secret to pull the image:\n\n```\n$ cat cobol-pod.yaml\napiVersion: v1\nkind: Pod\nmetadata:\n name: cobol-pod\nspec:\n volumes:\n - name: efs-vol1\n persistentVolumeClaim:\n claimName: pvc-efs-shared-volume1\n\n\n imagePullSecrets:\n - name: ecr-secret\n\n containers:\n - name: cobol-container\n image: \"111122223333.dkr.ecr.ap-southeast-2.amazonaws.com/my-ecr-repo:cobol\"\n volumeMounts:\n - mountPath: \"/nfs_dir\"\n name: efs-vol1\n\n$ oc create -f cobol-pod.yaml \npod/cobol-pod created\n\n$ oc get pods cobol-pod \nNAME READY STATUS RESTARTS AGE\ncobol-pod 1/1 Running 0 15m\n```\n\n#### **5. Test the application**\n\nConfirm that the [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) file system been mounted on the pod:\n\n```\n$ oc exec -it cobol-pod -- df -h | grep nfs\n127.0.0.1:/ 8.0E 0 8.0E 0% /nfs_dir\n```\n\nConfirm the ```cron``` job been configured properly on the pod:\n\n```\noc exec -it cobol-pod -- crontab -l | grep batch\n* * * * * /home/batch-process.sh >> /var/log/cron.log 2>&1\n```\n\nIt’s time to test the functionality of the application. We just need to copy a CSV file into ```/nfs_dir/input```, which resides on the [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) file system. The application that created above checks ```/nfs_dir/input``` every minute and it processes the CSV files that it finds.\n\nWhat is the application doing:\n\n```\nThere is currently no CSV file in the shared file system to be processed. Consequently, our application is just printing the current timestamp.\n\nThis is the log of the last three minutes:\n$ oc exec -it cobol-pod -- tail -3 /var/log/cron.log\nThe batch job has been completed at Sat Jun 18 04:28:01 UTC 2022\nThe batch job has been completed at Sat Jun 18 04:29:01 UTC 2022\nThe batch job has been completed at Sat Jun 18 04:30:01 UTC 2022\n```\n\n**Give the application a CSV file to process:**\n\n A CSV file can be copied to [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) from any workstation or application that has mounted the file system. For simplicity we use oc cp:\n\n```\n# oc cp new-csv-file cobol-pod://nfs_dir/input\n```\n\nPoll the log file:\n\n```\n# oc exec -it cobol-pod -- tail -f /var/log/cron.log\nThe batch job has been completed at Tue Jan 18 04:38:01 UTC 2022\nThe batch job has been completed at Tue Jan 18 04:39:01 UTC 2022\n/nfs_dir/input/new-csv-file has been processed.\nThe batch job has been completed at Tue Jan 18 04:40:01 UTC 2022\n```\n\n### **Prerequisites**\nTo follow the procedures in this post, we recommend the following prerequisites:\n\n- A Linux/Mac workstation, or an [AWS Cloud9 IDE](https://aws.amazon.com/cloud9/).\n- A running Red Hat OpenShift cluster on AWS ([ROSA](https://docs.aws.amazon.com/ROSA/?id=docs_gateway)). [This post](https://aws.amazon.com/blogs/aws/red-hat-openshift-service-on-aws-now-generally-availably/) explains how to set up such environment from scratch.\n\n\n### **Cleanup**\nTo avoid unexpected costs, please be mindful of cleaning up the resources that are no longer needed:\n\n- [ROSA](https://docs.aws.amazon.com/ROSA/?id=docs_gateway) cluster: This can be done via the [Red Hat Hybrid Cloud Console](https://console.redhat.com/openshift/) or using he [ROSA CLI](https://docs.openshift.com/rosa/rosa_getting_started/rosa-deleting-cluster.html).\n- [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway) file system: Use the [AWS Management Console](https://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/learn-whats-new.html) or [AWS CLI](https://docs.aws.amazon.com/cli/?id=docs_gateway).\n\n\n[AWS CodeCommit](https://docs.aws.amazon.com/codecommit/?id=docs_gateway) and [Amazon ECR](https://docs.aws.amazon.com/ecr/?id=docs_gateway): Use the [AWS Management Console](https://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/learn-whats-new.html), or [AWS CLI](https://docs.aws.amazon.com/cli/?id=docs_gateway).\n\n### **Conclusion**\nWe have shown you how to re-platform and even augment a COBOL application using container technologies and [Red Hat OpenShift on AWS](https://docs.aws.amazon.com/ROSA/?id=docs_gateway). While this is not a solution to modernize every legacy application, especially those with tight integration with legacy middleware and data layers, this post offers new avenues to bring other application types to [Amazon AWS](https://aws.amazon.com/mainframe-modernization/patterns/replatform/) with minimal to no change to the code.\n\nIf you are interested in trying this in your environment, we would like to encourage you take [this ROSA workshop](https://openshift4-on-aws.awsworkshop.io/) and get some hands-on experience first. If you are new to [Amazon EFS](https://docs.aws.amazon.com/efs/?id=docs_gateway), follow the Amazon EFS [user guide](https://docs.aws.amazon.com/efs/latest/ug/whatisefs.html). For any further assistance, please use the [AWS Premium Support](https://aws.amazon.com/premiumsupport/) or [AWS re:Post](https://repost.aws/).\n\n![7667c61e3004467988d68f8996ad5d01_image1.png](2)\n\n**Mehdi Salehi**\n\nMehdi is a Sr. Solutions Architect based in Sydney. He helps AWS partners with technical strategy and architectural guidance in order to bring value for the end customers. Outside work, you may find him somewhere in the wonderful nature of Australia.\n\n![1e103d6408a640ffa77e35a1a3f51824_image1.png](1)\n\n**Hantzley Tauckoor**\n\nHantzley Tauckoor is an APJ Partner Solutions Architecture Leader based in Singapore. He has 20 years’ experience in the ICT industry spanning multiple functional areas, including solutions architecture, business development, sales strategy, consulting, and leadership. He leads a team of Senior Solutions Architects that enable partners to develop joint solutions, build technical capabilities, and steer them through the execution phase as customers migrate and modernize their applications to AWS. Outside work, he enjoys spending time with his family, watching movies, and hiking.","render":"<h3><a id=\"Introduction_0\"></a><strong>Introduction</strong></h3>\n<p>Enterprise customers have trained their IT staff on legacy programming languages, like COBOL, for decades. These legacy programs have stood the test of time and still run many mission-critical business applications which are typical for these legacy platforms. While various migration solutions like <a href=\"https://aws.amazon.com/mainframe-modernization/patterns/refactor/?mainframe-blogs.sort-by=item.additionalFields.createdDate&amp;mainframe-blogs.sort-order=desc\" target=\"_blank\">AWS Blu Age</a> and <a href=\"https://aws.amazon.com/mainframe-modernization/patterns/replatform/\" target=\"_blank\">AWS Micro Focus Enterprise technology</a> exist for legacy applications, this often means that the customer will have to learn a new programming language. In this post, we show you how to containerise legacy applications on AWS with minimal effort.</p>\n<h3><a id=\"The_Existing_Legacy_Application_3\"></a><strong>The Existing Legacy Application</strong></h3>\n<p>COBOL is still widely used in applications deployed on mainframe computers which run large-scale batch and transactional processing jobs. The example COBOL application that we are going to use in this post, reads a comma separated values (CSV) input file and generates a report. The input file is regularly uploaded to the mainframe side via File Transfer Protocol (FTP) daily and a COBOL application processes it as a batch job.</p>\n<p>In the following section, the example input file is a COBOL program that reformats the output into a tabular style.</p>\n<p>Example input file:</p>\n<pre><code class=\"lang-\">Alejandro, Rosalez, 123 Any Street, Any Town, NS, 1234\nAkua, Mansa, 234 Some Street, Some Town, VI, 2345\nCarlos, Salazar, 345 North Street, Any Town, WA, 9567 \nNikhil, Jayasha, 839 Some Crescent, Some Town, NT, 9023\nRichard, Roe, 456 Left Street, Some Town, IR, 8934 \nKwesi, Manu, 567 Right Avenue, Any Town, SA, 1030 \nWang, Xiulan, 678 Some Street, Some Town, QL,7890\n</code></pre>\n<p>The COBOL application:</p>\n<pre><code class=\"lang-\">&gt;&gt;SOURCE FORMAT FREE\nIDENTIFICATION DIVISION.\nPROGRAM-ID. READ-CSV.\nAUTHOR Hantzley Tauckoor.\nENVIRONMENT DIVISION.\nINPUT-OUTPUT SECTION.\nFILE-CONTROL.\n SELECT INPUT-FILE\n ASSIGN TO &quot;/nfs_dir/input/info.csv&quot;\n ORGANIZATION IS LINE SEQUENTIAL\n ACCESS MODE IS SEQUENTIAL.\n \n SELECT OUTPUT-FILE\n ASSIGN TO &quot;/nfs_dir/output/output.txt&quot;\n ORGANIZATION IS LINE SEQUENTIAL\n ACCESS MODE IS SEQUENTIAL.\n \nDATA DIVISION.\nFILE SECTION.\nFD INPUT-FILE RECORD CONTAINS 80 CHARACTERS.\n01 INPUT-RECORD PIC X(80).\nFD OUTPUT-FILE RECORD CONTAINS 160 CHARACTERS.\n01 OUTPUT-RECORD.\n 05 OUT-LAST-NAME PIC X(25).\n 05 FILLER PIC X(5).\n 05 OUT-FIRST-NAME PIC X(15).\n 05 FILLER PIC X(5).\n 05 OUT-STREET PIC X(30).\n 05 FILLER PIC X(5).\n 05 OUT-CITY PIC X(15).\n 05 FILLER PIC X(5).\n 05 OUT-STATE PIC XXX.\n 05 FILLER PIC X(5).\n 05 OUT-ZIP PIC X(10).\n 05 FILLER PIC X(38).\n \nWORKING-STORAGE SECTION.\n01 SEPARATE-IT.\n 05 LAST_NAME PIC X(25).\n 05 FIRST_NAME PIC X(15).\n 05 STREET_ADDR PIC X(30).\n 05 CITY PIC X(15).\n 05 STATE PIC XXX.\n 05 ZIP PIC X(10).\nPROCEDURE DIVISION.\nSTART-ROUTINE.\n OPEN INPUT INPUT-FILE.\n OPEN OUTPUT OUTPUT-FILE.\nREAD-ROUTINE.\n MOVE SPACES TO INPUT-RECORD.\n READ INPUT-FILE AT END GO TO END-ROUTINE.\n MOVE SPACES TO SEPARATE-IT.\n UNSTRING INPUT-RECORD DELIMITED BY &quot;,&quot;\n INTO LAST_NAME, FIRST_NAME, STREET_ADDR,\n CITY, STATE, ZIP.\n MOVE SPACES TO OUTPUT-RECORD.\n MOVE LAST_NAME TO OUT-LAST-NAME.\n MOVE FIRST_NAME TO OUT-FIRST-NAME.\n MOVE STREET_ADDR TO OUT-STREET.\n MOVE CITY TO OUT-CITY.\n MOVE STATE TO OUT-STATE.\n MOVE ZIP TO OUT-ZIP.\n WRITE OUTPUT-RECORD.\n GO TO READ-ROUTINE.\nEND-ROUTINE.\n CLOSE INPUT-FILE.\n CLOSE OUTPUT-FILE.\n STOP RUN.\n</code></pre>\n<p>The output file:</p>\n<pre><code class=\"lang-\">Alejandro \tRosalez \t123 Any Street \t \tAny Town \tNS \t1234\nAkua \t \tMansa \t \t234 Some Street \tSome Town \tVI \t2345\nCarlos \t \tSalazar \t345 North Street \tAny Town \tWA \t9567\nNikhil \t \tJayasha \t839 Some Crescent \tSome Town \tNT \t9023\nRichard \tRoe \t \t456 Left Street \tSome Town \tIR \t8934\nKwesi \t \tManu \t \t567 Right Avenue \tAny Town \tSA \t1030\nWang \t \tXiulan \t \t678 Some Street \tSome Town \tQL \t7890\n</code></pre>\n<h3><a id=\"Solution_overview_105\"></a><strong>Solution overview</strong></h3>\n<p>We are going to keep the code unchanged but wrap it up into a container on a <a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\">Red Hat OpenShift on AWS</a> (ROSA) cluster. The application is run as a cron job. These jobs regularly (i.e., every minute) select the input files from a specific directory on a shared filesystem, generate the output, and place the output into the shared filesystem in another directory. We use an Elastic File System (EFS) filesystem to store the input CSV and output files to make them accessible by programs that provide the input files.</p>\n<p>The following diagram shows the solution architecture:</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/0e219039fcda4bd08cd4b77688fb062c_image.png\" alt=\"image.png\" /></p>\n<p>These are the steps that we take to implement this solution:</p>\n<ol>\n<li>The feasibility of running the COBOL code on Linux</li>\n<li>Containerizing the code</li>\n<li>Preparing the AWS environment (code and container repositories, shared filesystem, and the OpenShift cluster)</li>\n<li>Deploying the code on ROSA</li>\n<li>Test the application</li>\n</ol>\n<p>In the following sections, we show how each of the above-mentioned steps is performed. For further information, see the <a href=\"https://docs.aws.amazon.com/ROSA/latest/userguide/getting-started.html\" target=\"_blank\">Red Hate OpenShift Service on AWS (ROSA)</a> documentation.</p>\n<h4><a id=\"1_The_feasibility_of_running_COBOL_on_Linux_124\"></a><strong>1. The feasibility of running COBOL on Linux</strong></h4>\n<p>Running COBOL applications is not limited to the IBM operating systems. There are a few open source COBOL compilers available that can be easily compiled for Linux environments. <a href=\"https://www.ibm.com/products/cobol-compiler-linux-x86\" target=\"_blank\">IBM’s official COBOL complier</a> is also an option, but for this demo we are going to use <a href=\"https://gnucobol.sourceforge.io/\" target=\"_blank\">GnuCOBOL</a>. While <a href=\"https://gnucobol.sourceforge.io/\" target=\"_blank\">GnuCOBOL</a> can be installed from <a href=\"https://ixpeering.dl.sourceforge.net/project/gnucobol/gnucobol/3.1/gnucobol-3.1.2.tar.xz\" target=\"_blank\">the source code</a>, in some environments (e.g., Ubuntu), the compiler is installed via the package managers easily:</p>\n<pre><code class=\"lang-\">$ apt install gnucobol -y\n\n$ dpkg -L gnucobol | grep &quot;cobc$&quot;\n/usr/bin/cobc\n\n$ cobc -V\ncobc (GnuCOBOL) 2.2.0\nCopyright (C) 2017 Free Software Foundation, Inc.\nLicense GPLv3+: GNU GPL version 3 or later &lt;http://gnu.org/licenses/gpl.html&gt;\nThis is free software; see the source for copying conditions. There is NO\nwarranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.\nWritten by Keisuke Nishida, Roger While, Ron Norman, Simon Sobisch, Edward Hart\nBuilt Jul 17 2018 20:29:40\nPackaged Sep 06 2017 18:48:43 UTC\nC version &quot;8.1.0&quot;\n</code></pre>\n<p>Compile and run a test code:</p>\n<pre><code class=\"lang-\">$ cat test-program.cbl\n IDENTIFICATION DIVISION.\n PROGRAM-ID. test-program.\n\n PROCEDURE DIVISION.\n DisplayPrompt.\n DISPLAY &quot;Hello World!&quot;.\n STOP RUN.\n\n$ cobc -free -x test-program.cbl\n\n$ ./test-program\nHello World!\n</code></pre>\n<p>With the COBOL compiler working on Linux, we have a similar environment on the Linux containers as well.</p>\n<h4><a id=\"2_Containerization_166\"></a><strong>2. Containerization</strong></h4>\n<p>COBOL is a <a href=\"https://en.wikipedia.org/wiki/Compiled_language\" target=\"_blank\">compiled language</a>, which means the program needs to be recompiled if the source code is changed. Depending on the use case, we might choose to include the COBOL compiler in the container image or not. If it is included, then the container dynamically builds the executable program from the source code. However, this add some latency to the runtime. Let’s discuss the pros and cons of each approach.</p>\n<p><strong>Create a container image based on the compiled and executable version of the program:</strong></p>\n<p>Pro: Faster container creation. Once the container is created from the image, it will be ready to execute the code immediately because the code is already pre-compiled.</p>\n<p>Con: A new container image needs to be created if the code is modified. In other words, a pipeline will be needed to automatically compile the program and build an updated version of the container image.</p>\n<p>Create a container image which can compile the program:</p>\n<p>Pro: Less complexity in terms of building the pipeline for the container image.</p>\n<p>Con: While this might be acceptable for long-running containers, this approach adds unnecessary compilation overhead. In other words, anytime the container is executed, the code will be compiled and occurs even if it has not been modified.</p>\n<p>In this post, we chose the second approach because of its simplicity.</p>\n<p>The following steps explain how to create a container image capable of compiling and running COBOL programs:</p>\n<p><strong>Package the code into a Docker image:</strong></p>\n<p>To better understand how the Dockerfile has be constructed, let’s review the different pieces and elements first:</p>\n<p><code>/nfs_dir</code>: The shared filesystem to store the input CSV files in /nfs_dir/input/, and output reports in /nfs_dir/output/.</p>\n<p><code>demo.cbl</code>: The COBOL program that transforms the input file and saves it into the output file. We use the same code that is already running on mainframe.</p>\n<p><code>batch-process.sh</code>: A shell script which finds the input files in /nfs_dir/input directory and generates an output file for each one of them.</p>\n<pre><code class=\"lang-\">#!/usr/bin/bash\n\ncobol_code=&quot;/home/demo.cbl&quot;\nshared_fs=&quot;/nfs_dir&quot;\nexecutable_program=&quot;${shared_fs}/executable_program&quot;\n\nif [ -f $cobol_code ]\nthen\n /usr/bin/cobc -free -x ${cobol_code} -o ${executable_program}\nfi\n\nif [ -f ${executable_program} ]\nthen\n input_dir=${shared_fs}/input\n output_dir=/nfs_dir/output\n ls $input_dir | while read file_to_process\n do\n ${executable_program} ${input_dir}/${file_to_process}\n rm -f ${input_dir}/${file_to_process}\n echo &quot;${input_dir}/${file_to_process} has been processed.&quot;\n done\nelse\n echo &quot;${executable_program} not found.&quot;\nfi\n\necho &quot;The batch job has been completed at `date`&quot; \n</code></pre>\n<p>cobol-crob-job: A Linux <code>crontab</code> configuration file which allows batch-process.sh to be executed regularly every minute:</p>\n<pre><code class=\"lang-\">* * * * * /home/batch-process.sh &gt;&gt; /var/log/cron.log 2&gt;&amp;1\n#\n</code></pre>\n<p>The following sample Dockerfile copies <code>cobol-cron-job</code> to the container. In the <strong>COPY</strong> sections, the necessary files are copied from the current directory in our workstation to the container image. In the <strong>RUN</strong> section, the required packages are installed and the cron mechanism is configured. And finally, the Command (<strong>CMD</strong>) section contains what executes when the container runs. It starts the <code>cron daemon</code> and prints the <code>cron.log</code> in the console:</p>\n<p>Dockerfile:</p>\n<pre><code class=\"lang-\">FROM ubuntu:latest\nCOPY cobol-cron-job /etc/cron.d/cobol-cron-job\nCOPY batch-process.sh demo.cbl /home/\nRUN apt-get update &amp;&amp; apt-get install gnucobol cron -y &amp;&amp; \\\n chmod 0744 /etc/cron.d/cobol-cron-job &amp;&amp; \\\n chmod +x /home/batch-process.sh &amp;&amp; \\\n crontab /etc/cron.d/cobol-cron-job &amp;&amp; \\\n touch /var/log/cron.log \nCMD cron &amp;&amp; tail -f /var/log/cron.log\nCreate the Docker image:\n\nimage=&quot;111122223333.dkr.ecr.ap-southeast-2.amazonaws.com/my-ecr-repo:cobol&quot;\nsudo docker image rm $image --force 2&gt;/dev/null\nsudo docker build --no-cache -t $image .\n</code></pre>\n<p>Test the Docker image locally:</p>\n<pre><code class=\"lang-\"># Delete the container if already exists\nsudo docker rm `docker ps -a | grep test_container | awk '{print $1}'` --force \n\n# Create a new container\nsudo docker run --name test_container $image &amp;\n\n# Wait for at least one cron job to be completed after a minute:\nsleep 65 \n\n# Check the cron log:\nsudo docker exec -it test_container tail -f /var/log/cron.log\n</code></pre>\n<p>Here is sample output:</p>\n<pre><code class=\"lang-\">The batch job has been completed at Fri Jun 17 02:34:01 UTC 2022\n</code></pre>\n<p>Push the image to the repository. We will be using <a href=\"https://docs.aws.amazon.com/AmazonECR/latest/userguide/repository-create.html\" target=\"_blank\">Amazon Elastic Container Registry (ECR)</a>:</p>\n<pre><code class=\"lang-\"># Login to ECR\naws ecr get-login-password --region ap-southeast-2 | sudo docker login --username AWS --password-stdin 111122223333.dkr.ecr.ap-southeast-2.amazonaws.com\n\n# Upload the container image to ECR:\nsudo docker push $image\n</code></pre>\n<h4><a id=\"3_Preparing_an_Amazon_EFS_file_system_for_the_cluster_285\"></a><strong>3. Preparing an Amazon EFS file system for the cluster</strong></h4>\n<p><a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> is a simple, serverless, elastic filesystem that makes it easy to set up, scale, and cost-optimize file storage. To get more information about <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> and how set it up from the <a href=\"https://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/learn-whats-new.html\" target=\"_blank\">AWS Management Console</a>, please follow the step in <a href=\"https://aws.amazon.com/blogs/storage/making-it-even-simpler-to-get-started-with-amazon-efs/\" target=\"_blank\">this AWS blog post</a>. In our scenario, <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> will be the shared Network File System (NFS) to store the inputs of the COBOL application that runs on <a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\">ROSA</a>. We also need to create an access point for the file system. According to the <a href=\"https://docs.aws.amazon.com/efs/latest/ug/efs-access-points.html\" target=\"_blank\">EFS documentation</a>, <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> access points are application-specific entry points into an <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> file system that make it easier to manage application access to shared datasets.</p>\n<p>Install the <a href=\"https://github.com/openshift/aws-efs-operator\" target=\"_blank\"><strong>AWS EFS Operator</strong></a> on <a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\"><strong>ROSA</strong></a>:</p>\n<p>Make sure AWS EFS Operator has been installed on the cluster’s OperatorHub. This enables the <a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\">ROSA</a> cluster to understand how to interact with <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a>. For more information about operators, please refer to the <a href=\"https://docs.openshift.com/container-platform/4.8/operators/understanding/olm-understanding-operatorhub.html\" target=\"_blank\">OpenShift documentation</a>.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/b588e660017e46ffa0880ae4273f74fd_image.png\" alt=\"image.png\" /></p>\n<p>Create a <a href=\"https://github.com/openshift/aws-efs-operator/blob/master/README.md#working-with-sharedvolume-resources\" target=\"_blank\"><strong>shared volume</strong></a> in the <a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\"><strong>ROSA</strong></a> cluster based on <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\"><strong>Amazon EFS</strong></a>:</p>\n<p>To create an <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a>-based shared volume through <a href=\"https://docs.openshift.com/container-platform/4.8/operators/understanding/olm-understanding-operatorhub.html\" target=\"_blank\">OpenShift’s EFS Operator</a>, we need the file system and access point IDs from the <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> console or <a href=\"https://docs.aws.amazon.com/cli/?id=docs_gateway\" target=\"_blank\">AWS Command Line Interface</a> (CLI):</p>\n<pre><code class=\"lang-\">aws efs describe-file-systems | jq .FileSystems[].FileSystemId\n&quot;fs-37e7e20f&quot;\n\naws efs describe-access-points |jq .AccessPoints[].AccessPointId\n&quot;fsap-053d9cb60c9c1eec1&quot;\n</code></pre>\n<p>With the file system and access point IDs ready, we create a <code>SharedVolume</code> object in the cluster. For more information, please visit the <a href=\"https://docs.openshift.com/rosa/storage/persistent_storage/osd-persistent-storage-aws.html\" target=\"_blank\">ROSA documentation</a>.</p>\n<p>Create a <code>SharedVolume</code>:</p>\n<pre><code class=\"lang-\">$ cat &lt;&lt;EoF &gt; efs-shared-volume1.yaml\napiVersion: aws-efs.managed.openshift.io/v1alpha1\nkind: SharedVolume\nmetadata:\n name: efs-shared-volume1\n namespace: rosaproject1\nspec:\n accessPointID: fsap-0fa06aa2d435e5750\n fileSystemID: fs-6728f5e7\n\nEoF\n\noc create -f efs-shared-volume1.yaml\nsharedvolume.aws-efs.managed.openshift.io/efs-shared-volume1 created\n</code></pre>\n<p>As a result, a PersistentVolumeClaim is created and mounted in the pods:</p>\n<pre><code class=\"lang-\">oc get pvc pvc-efs-shared-volume1\nNAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE\npvc-efs-shared-volume1 Bound pv-rosaproject1-efs-shared-volume1 1Gi \n</code></pre>\n<h4><a id=\"4_Deploying_the_application_on_ROSA_337\"></a><strong>4. Deploying the application on ROSA</strong></h4>\n<p>The container image created is uploaded to a private repository in <a href=\"https://docs.aws.amazon.com/ecr/?id=docs_gateway\" target=\"_blank\">Amazon ECR</a>. That is why we need to create a Secret in <a href=\"https://docs.openshift.com/container-platform/4.8/operators/understanding/olm-understanding-operatorhub.html\" target=\"_blank\">OpenShift</a> to pull the image. Since the shared file system has also been created, that the last task is to define a pod and launch the application as part of it.</p>\n<p>Don’t forget to modify the security group of the <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> mount target and allow the inbound access from the <a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\">ROSA</a> cluster. The worker nodes have a specific security group which can be allow-listed on the <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> side.</p>\n<p><strong>Create a Secret:</strong></p>\n<p>Save the <a href=\"https://docs.aws.amazon.com/ecr/?id=docs_gateway\" target=\"_blank\">Amazon ECR</a> password to ~/.docker/config.json:</p>\n<pre><code class=\"lang-\">$ aws ecr get-login-password --region ap-southeast-2 | sudo docker login --username AWS --password-stdin 111122223333.dkr.ecr.ap-southeast-2.amazonaws.com\n</code></pre>\n<p>Create a generic password in OpenShift from the password file create above:</p>\n<pre><code class=\"lang-\">$ sudo cp /root/.docker/config.json /tmp; sudo chmod +r /tmp/config.json\n\n$ oc create secret generic ecr-secret --from-file=.dockerconfigjson=/tmp/config.json --type=kubernetes.io/dockerconfigjson \n</code></pre>\n<p>Now pods can pull images from ECR using the newly created secret:</p>\n<pre><code class=\"lang-\">$ oc get secret ecr-secret\nNAME TYPE DATA AGE\necr-secret kubernetes.io/dockerconfigjson 1 6m6s\n</code></pre>\n<p>Create a pod that mounts the shared file system and uses the Amazon ECR-based secret to pull the image:</p>\n<pre><code class=\"lang-\">$ cat cobol-pod.yaml\napiVersion: v1\nkind: Pod\nmetadata:\n name: cobol-pod\nspec:\n volumes:\n - name: efs-vol1\n persistentVolumeClaim:\n claimName: pvc-efs-shared-volume1\n\n\n imagePullSecrets:\n - name: ecr-secret\n\n containers:\n - name: cobol-container\n image: &quot;111122223333.dkr.ecr.ap-southeast-2.amazonaws.com/my-ecr-repo:cobol&quot;\n volumeMounts:\n - mountPath: &quot;/nfs_dir&quot;\n name: efs-vol1\n\n$ oc create -f cobol-pod.yaml \npod/cobol-pod created\n\n$ oc get pods cobol-pod \nNAME READY STATUS RESTARTS AGE\ncobol-pod 1/1 Running 0 15m\n</code></pre>\n<h4><a id=\"5_Test_the_application_400\"></a><strong>5. Test the application</strong></h4>\n<p>Confirm that the <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> file system been mounted on the pod:</p>\n<pre><code class=\"lang-\">$ oc exec -it cobol-pod -- df -h | grep nfs\n127.0.0.1:/ 8.0E 0 8.0E 0% /nfs_dir\n</code></pre>\n<p>Confirm the <code>cron</code> job been configured properly on the pod:</p>\n<pre><code class=\"lang-\">oc exec -it cobol-pod -- crontab -l | grep batch\n* * * * * /home/batch-process.sh &gt;&gt; /var/log/cron.log 2&gt;&amp;1\n</code></pre>\n<p>It’s time to test the functionality of the application. We just need to copy a CSV file into <code>/nfs_dir/input</code>, which resides on the <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> file system. The application that created above checks <code>/nfs_dir/input</code> every minute and it processes the CSV files that it finds.</p>\n<p>What is the application doing:</p>\n<pre><code class=\"lang-\">There is currently no CSV file in the shared file system to be processed. Consequently, our application is just printing the current timestamp.\n\nThis is the log of the last three minutes:\n$ oc exec -it cobol-pod -- tail -3 /var/log/cron.log\nThe batch job has been completed at Sat Jun 18 04:28:01 UTC 2022\nThe batch job has been completed at Sat Jun 18 04:29:01 UTC 2022\nThe batch job has been completed at Sat Jun 18 04:30:01 UTC 2022\n</code></pre>\n<p><strong>Give the application a CSV file to process:</strong></p>\n<p>A CSV file can be copied to <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> from any workstation or application that has mounted the file system. For simplicity we use oc cp:</p>\n<pre><code class=\"lang-\"># oc cp new-csv-file cobol-pod://nfs_dir/input\n</code></pre>\n<p>Poll the log file:</p>\n<pre><code class=\"lang-\"># oc exec -it cobol-pod -- tail -f /var/log/cron.log\nThe batch job has been completed at Tue Jan 18 04:38:01 UTC 2022\nThe batch job has been completed at Tue Jan 18 04:39:01 UTC 2022\n/nfs_dir/input/new-csv-file has been processed.\nThe batch job has been completed at Tue Jan 18 04:40:01 UTC 2022\n</code></pre>\n<h3><a id=\"Prerequisites_448\"></a><strong>Prerequisites</strong></h3>\n<p>To follow the procedures in this post, we recommend the following prerequisites:</p>\n<ul>\n<li>A Linux/Mac workstation, or an <a href=\"https://aws.amazon.com/cloud9/\" target=\"_blank\">AWS Cloud9 IDE</a>.</li>\n<li>A running Red Hat OpenShift cluster on AWS (<a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\">ROSA</a>). <a href=\"https://aws.amazon.com/blogs/aws/red-hat-openshift-service-on-aws-now-generally-availably/\" target=\"_blank\">This post</a> explains how to set up such environment from scratch.</li>\n</ul>\n<h3><a id=\"Cleanup_455\"></a><strong>Cleanup</strong></h3>\n<p>To avoid unexpected costs, please be mindful of cleaning up the resources that are no longer needed:</p>\n<ul>\n<li><a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\">ROSA</a> cluster: This can be done via the <a href=\"https://console.redhat.com/openshift/\" target=\"_blank\">Red Hat Hybrid Cloud Console</a> or using he <a href=\"https://docs.openshift.com/rosa/rosa_getting_started/rosa-deleting-cluster.html\" target=\"_blank\">ROSA CLI</a>.</li>\n<li><a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a> file system: Use the <a href=\"https://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/learn-whats-new.html\" target=\"_blank\">AWS Management Console</a> or <a href=\"https://docs.aws.amazon.com/cli/?id=docs_gateway\" target=\"_blank\">AWS CLI</a>.</li>\n</ul>\n<p><a href=\"https://docs.aws.amazon.com/codecommit/?id=docs_gateway\" target=\"_blank\">AWS CodeCommit</a> and <a href=\"https://docs.aws.amazon.com/ecr/?id=docs_gateway\" target=\"_blank\">Amazon ECR</a>: Use the <a href=\"https://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/learn-whats-new.html\" target=\"_blank\">AWS Management Console</a>, or <a href=\"https://docs.aws.amazon.com/cli/?id=docs_gateway\" target=\"_blank\">AWS CLI</a>.</p>\n<h3><a id=\"Conclusion_464\"></a><strong>Conclusion</strong></h3>\n<p>We have shown you how to re-platform and even augment a COBOL application using container technologies and <a href=\"https://docs.aws.amazon.com/ROSA/?id=docs_gateway\" target=\"_blank\">Red Hat OpenShift on AWS</a>. While this is not a solution to modernize every legacy application, especially those with tight integration with legacy middleware and data layers, this post offers new avenues to bring other application types to <a href=\"https://aws.amazon.com/mainframe-modernization/patterns/replatform/\" target=\"_blank\">Amazon AWS</a> with minimal to no change to the code.</p>\n<p>If you are interested in trying this in your environment, we would like to encourage you take <a href=\"https://openshift4-on-aws.awsworkshop.io/\" target=\"_blank\">this ROSA workshop</a> and get some hands-on experience first. If you are new to <a href=\"https://docs.aws.amazon.com/efs/?id=docs_gateway\" target=\"_blank\">Amazon EFS</a>, follow the Amazon EFS <a href=\"https://docs.aws.amazon.com/efs/latest/ug/whatisefs.html\" target=\"_blank\">user guide</a>. For any further assistance, please use the <a href=\"https://aws.amazon.com/premiumsupport/\" target=\"_blank\">AWS Premium Support</a> or <a href=\"https://repost.aws/\" target=\"_blank\">AWS re:Post</a>.</p>\n<p><img src=\"data:image/png;base64,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\" alt=\"7667c61e3004467988d68f8996ad5d01_image1.png\" rel=\"2\" /></p>\n<p><strong>Mehdi Salehi</strong></p>\n<p>Mehdi is a Sr. Solutions Architect based in Sydney. He helps AWS partners with technical strategy and architectural guidance in order to bring value for the end customers. Outside work, you may find him somewhere in the wonderful nature of Australia.</p>\n<p><img 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\" alt=\"1e103d6408a640ffa77e35a1a3f51824_image1.png\" rel=\"1\" /></p>\n<p><strong>Hantzley Tauckoor</strong></p>\n<p>Hantzley Tauckoor is an APJ Partner Solutions Architecture Leader based in Singapore. He has 20 years’ experience in the ICT industry spanning multiple functional areas, including solutions architecture, business development, sales strategy, consulting, and leadership. He leads a team of Senior Solutions Architects that enable partners to develop joint solutions, build technical capabilities, and steer them through the execution phase as customers migrate and modernize their applications to AWS. Outside work, he enjoys spending time with his family, watching movies, and hiking.</p>\n"}
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