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azurerm_windows_virtual_machine.main: Still creating... [6m30s elapsed]
azurerm_windows_virtual_machine.main: Still creating... [6m40s elapsed]
â•·
│ Error: file provisioner error
│
│ with azurerm_windows_virtual_machine.main,
│ on pro.tf line 144, in resource "azurerm_windows_virtual_machine" "main":
│ 144: provisioner "file" {
│
│ timeout - last error: unknown error Post "https://20.124.192.65:5986/wsman": dial tcp 20.124.192.65:5986: connectex: A connection attempt
│ failed because the connected party did not properly respond after a period of time, or established connection failed because connected host
│ has failed to respond.
╵
Solution
There are a few possible reasons for this error:
The virtual machine is not yet running.
The WinRM service is not running on the virtual machine.
The WinRM port is blocked on the virtual machine.
There is a network connectivity issue between Terraform and the virtual machine.
To troubleshoot this error, you can try the following:
Verify that the virtual machine is running.
Verify that the WinRM service is running on the virtual machine. You can do this by running the following command on the virtual machine:
Get-Service WinRM
If the WinRM service is not running, you can start it by running the following command:
Start-Service WinRM
Verify that the WinRM port is not blocked on the virtual machine. You can do this by running the following command on the virtual machine:
If the connection test fails, you need to open the WinRM port on the virtual machine.
Verify that there is network connectivity between Terraform and the virtual machine. You can do this by running a ping test from Terraform to the virtual machine.
If you are still unable to resolve the error, you can try using a different connection type, such as SSH.
Here are some additional tips for troubleshooting WinRM connectivity issues:
Make sure that the WinRM firewall exceptions are enabled on the virtual machine.
Make sure that the WinRM service is listening on the correct port. By default, WinRM listens on port 5986.
Make sure that the WinRM service is configured to use HTTP or HTTPS.
Make sure that the WinRM service is configured to allow remote connections.
Make sure that the WinRM service is configured to use the correct authentication method. By default, WinRM uses NTLM authentication.
The error message indicates that Terraform is having trouble connecting to the newly created Azure VM over port 5986, which is the port for secure WinRM (Windows Remote Management). Terraform uses WinRM to run the provisioners, such as the file provisioner in your case.
Here are some troubleshooting steps and considerations to resolve the error:
Ensure WinRM is Enabled: The Azure VM must have WinRM enabled and properly configured to accept connections. The default Azure Windows Server images often have WinRM enabled, but ensure it’s set up correctly.
Security Rules: Double-check the network security group (NSG) rules to ensure port 5986 is open for inbound traffic. From the Terraform code you provided earlier, it seems you’ve set this up, but it’s worth double-checking in the Azure portal or using the Azure CLI.
Self-Signed Certificates: If you’re using self-signed certificates for WinRM (which is often the case with default Azure images), ensure that the insecure option is set to true for the connection block in the VM resource. You’ve already done this in the provided code, but it’s a common oversight.
VM Availability: Sometimes, the VM might take a while to become fully operational after creation. This includes network interfaces being properly initialized and services starting up. While Terraform does wait for the VM to report as “running”, there can still be a delay before everything is ready. One option could be to introduce a deliberate delay using a local-exec provisioner that simply waits for a few minutes before proceeding.
Azure VM WinRM Extension: Azure provides an extension to ensure WinRM is correctly configured on the VM. Consider using the azurerm_virtual_machine_extension resource to ensure WinRM is set up correctly. This can be used to enable and configure WinRM on the VM after it’s created but before you try to use it.
Connection Block: Make sure your connection block has the correct configuration. From the code you provided, it seems mostly correct, but make sure the host and other parameters are correct at runtime.
Testing Connectivity: You can test WinRM connectivity from your local machine or another machine using PowerShell or other WinRM clients. This can help determine if the issue is with Terraform or with the VM/network itself.
Review VM Logs: If possible, review the logs of the VM. You can do this by logging into the VM through the Azure portal or by using another method like RDP. The logs might provide clues if there are any issues with the VM or the WinRM service.
Terraform Provider Version: Ensure you’re using a recent version of the azurerm provider. Sometimes bugs or issues are resolved in newer versions.
â•·
│ Error: building account: could not acquire access token to parse claims: running Azure CLI: exit status 1: ERROR: AADSTS700082: The refresh token has expired due to inactivity. The token was issued on 2023-04-03T16:21:03.6793755Z and was inactive for 90.00:00:00.
│ Trace ID: cdfc670b-bbc9-40a8-9d40-89a1cae0db00
│ Correlation ID: 23c88e39-fef3-476f-a820-8d06db1602db
│ Timestamp: 2023-10-09 06:02:25Z
│ To re-authenticate, please run:
│ az login --scope https://graph.microsoft.com/.default
│
│ with provider["registry.terraform.io/hashicorp/azurerm"],
│ on providers.tf line 14, in provider "azurerm":
│ 14: provider "azurerm" {
│
╵
DevOps trainers play a pivotal role in the IT industry for several reasons:
Bridge Knowledge Gaps: DevOps is a multifaceted discipline that encompasses cultural shifts, technological adaptations, and new practices in IT operations and development. A trainer can help bridge the knowledge gaps by offering structured learning that covers all these aspects.
Hands-on Experience: Trainers typically come with hands-on experience in implementing DevOps in real-world scenarios. This experiential knowledge is invaluable in teaching not just the theoretical part but also the practical challenges and their solutions.
Cultural Transformation: DevOps is as much about cultural change as it is about tools and technologies. A trainer understands the nuances of this cultural transformation and can guide organizations in fostering a collaborative and transparent environment.
Accelerated Learning: With the rapid evolution of tools and practices in the DevOps landscape, it can be challenging for professionals to keep up. Trainers can accelerate the learning process by offering curated content, saving time and effort for learners.
Customized Learning Path: Every organization has unique challenges. A DevOps trainer can customize the learning experience based on the specific needs of a company, ensuring that the training is relevant and actionable.
Certification and Skill Validation: Many trainers offer certification courses that are recognized in the industry. These certifications validate the skills of professionals, making them more marketable.
Hands-on Labs & Real-world Scenarios: DevOps trainers often include labs and real-world scenarios in their courses. This practical approach ensures that learners can apply what they learn immediately.
The ranking would greatly depend on the specific criteria you’re looking at, such as their impact on the community, breadth of knowledge, practical experience, or feedback from trainees.
Gene Kim – Gene Kim is an award-winning CTO, researcher, and author who has become a figurehead in the DevOps movement. Best known for co-authoring “The Phoenix Project” and “The DevOps Handbook,” Kim’s works provide an in-depth look into IT management, DevOps philosophy, and the frameworks that support high-performing organizations. His commitment to fostering a collaborative environment between development and operations has cemented his place as a leading voice in the industry.
Jez Humble – As the co-author of the influential book “Continuous Delivery,” Jez Humble has made a profound impact on the way software is delivered and operations are managed. His teachings emphasize the importance of building quality into system design and advocate for low-risk software releases. His unique insights into the world of software delivery have made him an essential figure in the DevOps community.
John Willis – John Willis wears many hats – from DevOps leadership to co-authoring “The DevOps Handbook.” A seasoned technologist, he has been at the forefront of some of the most significant tech paradigm shifts, including early UNIX distributions, infrastructure automation, and the modern DevOps movement. Willis’s deep knowledge and enthusiasm for continuous improvement make him a sought-after voice in the industry.
James Turnbull – An experienced infrastructure architect, James Turnbull is recognized for his array of books on DevOps tools, monitoring, and practice. Passionate about open-source and infrastructure coding, he possesses expertise that spans a vast range of technical areas and has contributed to the DevOps community through both written content and spoken word at numerous conferences.
Martin Fowler – As one of the prominent figures in the world of software development, Martin Fowler’s influence extends far beyond just DevOps. His focus on continuous integration, refactoring, and agile practices has shifted the paradigm of software delivery and quality assurance. His keen insights, both as a speaker and writer, are respected globally, and his commitment to quality software delivery is unparalleled.
Patrick Debois – Often hailed as the godfather of DevOps, Patrick Debois is credited with coining the term “DevOps” itself. His enthusiasm for bridging the traditional gaps between developers and operations led to the creation of the first DevOpsDays event, which has since become a global phenomenon. His commitment to the community and his innovative thinking continue to shape the trajectory of DevOps.
Damon Edwards – As the co-founder of Rundeck, Inc., Damon Edwards has a clear focus on self-service operations. He has provided invaluable insights into the operational challenges faced by organizations and is a passionate advocate for collaboration and efficiency within the realms of development and operations. Edwards is a respected voice in the DevOps community, emphasizing the operational side of the coin.
Nigel Poulton – Nigel Poulton is a renowned devops trainer, especially noted for his deep dives into Kubernetes and Docker. With his ability to simplify complex technical concepts, Poulton has written several books and offers online courses that have become go-to resources for professionals looking to upscale in container technologies.
Sander van Vugt – Specializing in Linux, Sander van Vugt has been training and writing about Linux and open source topics for over two decades. His courses on Linux, including Red Hat and SUSE, are considered crucial by professionals globally. Van Vugt’s clear teaching methodologies and deep knowledge make him a preferred choice for Linux and DevOps Trainer.
Rajesh Kumar – Rajesh Kumar stands tall among DevOps luminaries due to his comprehensive expertise in the domain and his role as a mentor to many. His teachings and methodologies in the world of DevOps have reached countless professionals worldwide, helping them understand and implement best practices in their respective organizations. His tireless contributions and dedication to the DevOps community make him a stalwart in the field.
The provided log indicates a series of configuration conflicts when trying to apply certain changes to the Kubernetes cluster. Specifically, the conflicts seem to be centered around AWS EBS (Elastic Block Store) CSI (Container Storage Interface) driver resources.
Here’s a brief breakdown:
Nature of Conflicts: The conflicts you are encountering seem to be related to metadata labels (app.kubernetes.io/managed-by and app.kubernetes.io/version) and, in some cases, to specific rules or subjects of the Kubernetes resources.
Reason for Conflicts: These conflicts typically arise when:
The resources are already defined in the cluster with certain properties, and the definitions you are trying to apply conflict with the existing state.
Two or more processes or users are trying to manage or modify the same set of resources, leading to divergent configurations.
How to Address the Conflicts:a. Inspect Current State: Before making any changes, understand the current state of the resources. You can describe or get the resources to check their current configurations: kubectl describe clusterrole ebs-external-attacher-role b. Determine the Desired State: Figure out which version or configuration is the desired one. If the existing state in the cluster is the desired state, you might want to update your local configurations to match. Alternatively, if your local configurations are correct, you’ll need to make changes in the cluster.c. Resolve Conflicts Manually: You might have to manually edit and resolve the conflicts. For example, if certain labels or rules are different between the cluster’s state and your configurations, decide which one should be retained and update accordingly.d. Backup: Before making sweeping changes, consider taking backups of your current configurations, especially if they are production-related. This will allow you to revert in case something goes wrong.e. Reapply: Once conflicts are resolved, try to apply the changes again.
Avoid Future Conflicts: To prevent such conflicts in the future:
Ensure clear ownership of resources. If possible, have specific teams or individuals responsible for certain resources to avoid overlaps.
Use a GitOps workflow where infrastructure changes are made through version-controlled repositories. This provides an audit trail and a clear history of changes.
Regularly synchronize your local configurations with the cluster’s state.
To change the storage class of a Persistent Volume Claim (PVC) in Kubernetes from efs to gp2, you’ll have to follow a series of steps. Kubernetes doesn’t allow you to change the storage class of an existing PVC directly. Instead, you would typically need to create a new PVC with the desired storage class and then copy the data from the old PVC to the new one.
Here’s a general approach:
Backup Data: Before making any changes, ensure you have a backup of your data.
Create a New PVC:Create a new PVC with the gp2 storage class. Here’s an example manifest (new-pvc.yaml):
kubectl apply -f deployable-pvc.yaml
error: error validating "deployable-pvc.yaml": error validating data: ValidationError(PersistentVolumeClaim.spec): unknown field "phase" in io.k8s.api.core.v1.PersistentVolumeClaimSpec; if you choose to ignore these errors, turn validation off with --validate=false
Solution
The error you're seeing indicates that there's an incorrect or extraneous field phase within the spec section of your PVC definition in the deployable-pvc.yaml file.
The phase field is typically found under the status section of a PVC and not under the spec. You'll need to remove it to make the PVC definition valid.
Here's what you should do:
Open the deployable-pvc.yaml file in an editor.
Look for the phase field inside the spec section and remove it.
Save the file and try applying it again with:
$ kubectl apply -f deployable-pvc.yaml
If you want to automate the removal of the phase field (assuming you have yq installed), you can do:
$ yq eval 'del(.spec.phase)' deployable-pvc.yaml -i
This will modify the file in place, removing the phase field from the spec section. After that, you should be able to apply the file without any issues.
Normal WaitForPodScheduled 3m5s persistentvolume-controller waiting for pod kube-prometheus-stack-grafana-59d698c77f-kk74w to be scheduled
Normal Provisioning 49s (x8 over 2m57s) ebs.csi.aws.com_ebs-csi-controller-676b6876c-t4wz8_1d14b6af-c9fe-4d6f-a6e0-2dd8e3766296 External provisioner is provisioning volume for claim "management/kube-prometheus-stack-grafana"
Warning ProvisioningFailed 49s (x8 over 2m57s) ebs.csi.aws.com_ebs-csi-controller-676b6876c-t4wz8_1d14b6af-c9fe-4d6f-a6e0-2dd8e3766296 failed to provision volume with StorageClass "gp2": rpc error: code = InvalidArgument desc = Volume capabilities MULTI_NODE_MULTI_WRITER not supported. Only AccessModes[ReadWriteOnce] supported.
Normal ExternalProvisioning 10s (x15 over 2m57s) persistentvolume-controller waiting for a volume to be created, either by external provisioner "ebs.csi.aws.com" or manually created by system adm
The error you are seeing indicates that the EBS CSI driver does not support the ReadWriteMany access mode. EBS volumes can only be mounted with ReadWriteOnce in a single node.
Here’s the main problem:
In your PVC definition, you have:
accessModes: - ReadWriteMany
With the storage class gp2, which is backed by EBS, the ReadWriteMany access mode is not valid. EBS volumes can only support ReadWriteOnce.
To fix this issue:
Update the accessModes in your PVC to use ReadWriteOnce:accessModes: - ReadWriteOnce
Reapply the PVC: kubectl apply -f deployable-pvc.yaml
If you truly need a shared filesystem that supports ReadWriteMany, consider using Amazon EFS. However, ensure that you have an appropriate StorageClass set up that provisions EFS volumes. In this case, your original storage class efs would have been appropriate, but ensure you have all the necessary components in place to provision EFS volumes using the EFS CSI driver.
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Wizbrand
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All in One SEO Pack
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