https://docs.analytica.com/api.php?action=feedcontributions&feedformat=atom&user=Naresh 2026-05-22T17:33:20Z User contributions MediaWiki 1.35.9 https://docs.analytica.com/index.php?title=User:Naresh&diff=62427 2025-04-01T08:16:40Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> [[File:Create pvc.png|center|thumb]]<br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_mariadb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]We need to deploy mariadb service acp_mariadb_service.yml while deploying acp_session pod we will provide the details of mariadb service to connect with mariadb from acp_session pod <br /> <br /> Below is the yaml for mariadb_service <br /> <br /> [[File:Acp mariadb service yaml file.png|center|thumb]]We need to deploy acp_session yaml file which contains mariadb service <br /> <br /> One more important thing , we need to remember is , the acp session pod should be running on the windows node , so for the acp session pod to be running only on windows node we need provide toleration in the yaml file so that whenever a new pod is getting created for acp session it has scheduled on windows node<br /> <br /> [[File:Acp toleration for windows.png|center|thumb]]<br /> [[File:ACP Session yaml file.png|center|thumb]]<br /> BY using the below command , we can check the pods which are deployed for mariadb and acp_session<br /> <br /> '''kubectl get pods''' <br /> <br /> <br /> To check on which nodes the pods are running on , we can use below command <br /> <br /> '''kubectl get pods -o wide'''<br /> <br /> <br /> Once the acp_session pod is created we can test the connectivity from acp pod to mariadb service<br /> <br /> [[File:ACP POD.png|center|thumb]]<br /> Once we connect with acp pod using powershell , we can run the sql command with hostname as mariadb service name to check the connectivity<br /> <br /> [[File:Mariadb db connectivity testing from acp pod.png|center|thumb]]To ingress load balancer , we create the service for the acp_session using the acp_session_service.yml file<br /> <br /> [[File:Acp session service.png|center|thumb]]<br /> Once this is done , we will deploy acp_ingress yaml file it will do below steps<br /> <br /> # It will create TLS cert using letsEncrypt<br /> # We will provide custom domain to be used here we are using acp-dev.analytica.com<br /> # The custom domain is mapped to acp_session_service<br /> <br /> [[File:Acp ingress controller.png|center|thumb]]We can check url if the acp_session is working https://acp-dev.analytica.com/<br /> <br /> [[File:Acp url .png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Acp_url_.png&diff=62426 2025-04-01T08:16:02Z

<p>Naresh: </p> <hr /> <div>acp url</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62425 2025-04-01T08:14:28Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> [[File:Create pvc.png|center|thumb]]<br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_mariadb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]We need to deploy mariadb service acp_mariadb_service.yml while deploying acp_session pod we will provide the details of mariadb service to connect with mariadb from acp_session pod <br /> <br /> Below is the yaml for mariadb_service <br /> <br /> [[File:Acp mariadb service yaml file.png|center|thumb]]We need to deploy acp_session yaml file which contains mariadb service <br /> <br /> One more important thing , we need to remember is , the acp session pod should be running on the windows node , so for the acp session pod to be running only on windows node we need provide toleration in the yaml file so that whenever a new pod is getting created for acp session it has scheduled on windows node<br /> <br /> [[File:Acp toleration for windows.png|center|thumb]]<br /> [[File:ACP Session yaml file.png|center|thumb]]<br /> BY using the below command , we can check the pods which are deployed for mariadb and acp_session<br /> <br /> '''kubectl get pods''' <br /> <br /> <br /> To check on which nodes the pods are running on , we can use below command <br /> <br /> '''kubectl get pods -o wide'''<br /> <br /> <br /> Once the acp_session pod is created we can test the connectivity from acp pod to mariadb service<br /> <br /> [[File:ACP POD.png|center|thumb]]<br /> Once we connect with acp pod using powershell , we can run the sql command with hostname as mariadb service name to check the connectivity<br /> <br /> [[File:Mariadb db connectivity testing from acp pod.png|center|thumb]]To ingress load balancer , we create the service for the acp_session using the acp_session_service.yml file<br /> <br /> [[File:Acp session service.png|center|thumb]]<br /> Once this is done , we will deploy acp_ingress yaml file it will do below steps<br /> <br /> # It will create TLS cert using letsEncrypt<br /> # We will provide custom domain to be used here we are using acp-dev.analytica.com<br /> # The custom domain is mapped to acp_session_service<br /> <br /> [[File:Acp ingress controller.png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Acp_ingress_controller.png&diff=62424 2025-04-01T08:14:09Z

<p>Naresh: </p> <hr /> <div>acp ingress controller</div>

Naresh https://docs.analytica.com/index.php?title=File:Acp_session_service.png&diff=62423 2025-04-01T08:10:10Z

<p>Naresh: </p> <hr /> <div>acp session service</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62422 2025-04-01T08:08:00Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> [[File:Create pvc.png|center|thumb]]<br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_mariadb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]We need to deploy mariadb service acp_mariadb_service.yml while deploying acp_session pod we will provide the details of mariadb service to connect with mariadb from acp_session pod <br /> <br /> Below is the yaml for mariadb_service <br /> <br /> [[File:Acp mariadb service yaml file.png|center|thumb]]We need to deploy acp_session yaml file which contains mariadb service <br /> <br /> One more important thing , we need to remember is , the acp session pod should be running on the windows node , so for the acp session pod to be running only on windows node we need provide toleration in the yaml file so that whenever a new pod is getting created for acp session it has scheduled on windows node<br /> <br /> [[File:Acp toleration for windows.png|center|thumb]]<br /> [[File:ACP Session yaml file.png|center|thumb]]<br /> BY using the below command , we can check the pods which are deployed for mariadb and acp_session<br /> <br /> '''kubectl get pods''' <br /> <br /> <br /> To check on which nodes the pods are running on , we can use below command <br /> <br /> '''kubectl get pods -o wide'''<br /> <br /> <br /> Once the acp_session pod is created we can test the connectivity from acp pod to mariadb service<br /> <br /> [[File:ACP POD.png|center|thumb]]<br /> Once we connect with acp pod using powershell , we can run the sql command with hostname as mariadb service name to check the connectivity<br /> <br /> [[File:Mariadb db connectivity testing from acp pod.png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Mariadb_db_connectivity_testing_from_acp_pod.png&diff=62421 2025-04-01T08:07:07Z

<p>Naresh: </p> <hr /> <div>mariadb db connectivity testing from acp pod</div>

Naresh https://docs.analytica.com/index.php?title=File:ACP_POD.png&diff=62420 2025-04-01T08:05:05Z

<p>Naresh: </p> <hr /> <div>ACP POD</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62419 2025-04-01T07:59:47Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> [[File:Create pvc.png|center|thumb]]<br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_mariadb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]We need to deploy mariadb service acp_mariadb_service.yml while deploying acp_session pod we will provide the details of mariadb service to connect with mariadb from acp_session pod <br /> <br /> Below is the yaml for mariadb_service <br /> <br /> [[File:Acp mariadb service yaml file.png|center|thumb]]We need to deploy acp_session yaml file which contains mariadb service <br /> <br /> One more important thing , we need to remember is , the acp session pod should be running on the windows node , so for the acp session pod to be running only on windows node we need provide toleration in the yaml file so that whenever a new pod is getting created for acp session it has scheduled on windows node<br /> <br /> [[File:Acp toleration for windows.png|center|thumb]]<br /> [[File:ACP Session yaml file.png|center|thumb]]<br /> BY using the below command , we can check the pods which are deployed for mariadb and acp_session<br /> <br /> '''kubectl get pods''' <br /> <br /> <br /> To check on which nodes the pods are running on , we can use below command <br /> <br /> '''kubectl get pods -o wide'''</div>

Naresh https://docs.analytica.com/index.php?title=File:Acp_toleration_for_windows.png&diff=62418 2025-04-01T07:59:34Z

<p>Naresh: </p> <hr /> <div>acp toleration for windows</div>

Naresh https://docs.analytica.com/index.php?title=File:ACP_Session_yaml_file.png&diff=62417 2025-04-01T07:52:17Z

<p>Naresh: </p> <hr /> <div>ACP session yaml file</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62416 2025-04-01T07:49:31Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> [[File:Create pvc.png|center|thumb]]<br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_mariadb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]We need to deploy mariadb service acp_mariadb_service.yml while deploying acp_session pod we will provide the details of mariadb service to connect with mariadb from acp_session pod <br /> <br /> Below is the yaml for mariadb_service <br /> <br /> [[File:Acp mariadb service yaml file.png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62415 2025-04-01T07:46:03Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> [[File:Create pvc.png|center|thumb]]<br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_maraidb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]We need to deploy mariadb service <br /> <br /> [[File:Acp mariadb service yaml file.png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Acp_mariadb_service_yaml_file.png&diff=62414 2025-04-01T07:45:38Z

<p>Naresh: </p> <hr /> <div>acp_mariadb_service yaml file</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62413 2025-04-01T07:38:07Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> [[File:Create pvc.png|center|thumb]]<br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_maraidb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Create_pvc.png&diff=62412 2025-04-01T07:37:20Z

<p>Naresh: </p> <hr /> <div>create_pvc</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62411 2025-04-01T07:36:41Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> 10GB Volume is created in GCP using the create_pvc.yml file which is sued for mariadb to store data<br /> <br /> <br /> <br /> <br /> Below Steps are performed by using this below acp_maraidb.yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62410 2025-04-01T07:30:05Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''<br /> <br /> From GCP , K8s we need to deploy the mariadb pod using the acp_mariadb.yaml.<br /> <br /> Below Steps are performed by suing this below yaml file<br /> <br /> 1.We are using separate namespace called acp-dev <br /> <br /> 2.We are using the custom image which we pushed to GCP repo<br /> <br /> 3. We are attaching a 10GB volume to store mariadb db data <br /> [[File:Acp mariadb yaml file .png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Acp_mariadb_yaml_file_.png&diff=62409 2025-04-01T07:26:52Z

<p>Naresh: </p> <hr /> <div>acp_mariadb yaml file</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62408 2025-04-01T07:22:10Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]We can check list of images which are pushed to acp-repo in the GCP k8s by using the below command <br /> <br /> <br /> '''gcloud artifacts docker images list us-west1-docker.pkg.dev/supple-lattice-206522/acp-repo'''</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62407 2025-04-01T07:19:49Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> [[File:ACP Session Image.png|center|thumb]]<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:ACP_Session_Image.png&diff=62406 2025-04-01T07:16:54Z

<p>Naresh: </p> <hr /> <div>ACP_Session_Image</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62405 2025-04-01T07:14:37Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> <br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]As per below Screenshot we are tagging the image and pushing it to the GCP repo.<br /> <br /> [[File:Custom Image tagging and Pushing to GCP.png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Custom_Image_tagging_and_Pushing_to_GCP.png&diff=62404 2025-04-01T07:13:26Z

<p>Naresh: </p> <hr /> <div>Image</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62403 2025-04-01T07:09:15Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> <br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP<br /> <br /> [[File:Acp session tagged images.png|center|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Acp_session_tagged_images.png&diff=62402 2025-04-01T07:08:54Z

<p>Naresh: </p> <hr /> <div>acp session tagged images</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62401 2025-04-01T07:06:05Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> <br /> <br /> Below is screenshot where we are tagging the image as per the GCP repo , so that we can push the image to GCP</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62400 2025-04-01T07:00:31Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed. <br /> [[File:Image.png|left|thumb]] <br /> <br /> <br /> <br /> 2. We have used step 1 to create custom ACP docker image</div>

Naresh https://docs.analytica.com/index.php?title=File:Image.png&diff=62399 2025-04-01T07:00:06Z

<p>Naresh: </p> <hr /> <div>Image</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62398 2025-04-01T06:58:27Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed <br /> <br /> 2. We have used step 1 to create custom ACP docker image<br /> <br /> [[File:Windows with SQL custom image.png|left|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62397 2025-04-01T06:57:00Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed <br /> <br /> 2. We have used above image to create custom ACP docker image<br /> <br /> [[File:Windows with SQL custom image.png|left|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Windows_with_SQL_custom_image.png&diff=62396 2025-04-01T06:56:30Z

<p>Naresh: </p> <hr /> <div>Windows with SQL custom image</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62395 2025-04-01T06:55:41Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> <br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed <br /> <br /> 2. We have used above image to create custom ACP docker image</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62394 2025-04-01T06:55:12Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]<br /> <br /> <br /> For ACP Session , we have created custom docker image with two steps<br /> <br /> 1. Created windows docker image with sql installed <br /> 2. We have used above image to create custom ACP docker image</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62393 2025-04-01T06:43:32Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> <br /> MariadB docker file contains below Details: <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62392 2025-04-01T06:43:06Z

<p>Naresh: </p> <hr /> <div> Deploying ACP MariaDB and ACP Session to K8S<br /> <br /> We have created custom images from the local system for the MariaDB and ACP to deploy pods on the GCP K8s Engine<br /> <br /> <br /> MariadB docker file contains <br /> <br /> <br /> The Docker file contains the Image used and we are installing the mariadb-client on the image , once the image is created this is pushed to GCP image repository<br /> <br /> Mariadb-Client is installed to connect locally from HeidiSQL APP.<br /> [[File:Mariadb Docker FIle.png|left|thumb]]</div>

Naresh https://docs.analytica.com/index.php?title=File:Mariadb_Docker_FIle.png&diff=62391 2025-04-01T06:37:32Z

<p>Naresh: </p> <hr /> <div>This is Mariadb docker file</div>

Naresh https://docs.analytica.com/index.php?title=User:Naresh&diff=62390 2025-04-01T06:29:37Z

<p>Naresh: Deploying ACP MariaDB and ACP Session steps to deploy in GCP K8S</p> <hr /> <div>Deploying ACP MariaDB and ACP Session to K8S</div>

Naresh