By Brad Johnson, Lead DevOps Engineer
Continuing from 'Creating an OpenShift Cluster in AWS with Windows Worker Nodes (Part I)', we are going to install OpenShift Cluster in this section. We are going to use a public Route53 domain name for our install.
If you wish to create a private cluster then you will need to do a bit more setup. See the following pages for more information on creating a private cluster that does not require DNS. The first page has the RedHat solution on the install-config program not supporting private clusters and contains an install config yaml file to use instead of the install-config command.
https://access.redhat.com/solutions/5158831
https://access.redhat.com/sites/default/files/attachments/aws-internal-install-config.yml
This page has more info on the install process and limitations of private clusters:
https://docs.openshift.com/container-platform/4.5/installing/installing_aws/installing-aws-private.html
First create the install-config yaml file and back it up as it is consumed by manifest creation.
Note: from here out all commands are run from the openshift_windows_cluster directory unless otherwise stated.
$ mkdir ~/openshift_windows_cluster && cd ~/openshift_windows_cluster
$ openshift-install create install-config
? Platform aws
INFO Credentials loaded from the "default" profile in file "/home/ec2-user/.aws/credentials"
? Region us-east-2
? Base Domain example.com
? Cluster Name win-test-cluster
? Pull Secret [? for help] (Paste your Pull Secret from the Red Hat web site or text file you downloaded)
$ sed -i 's/OpenShiftSDN/OVNKubernetes/g' install-config.yaml
$ cp -p install-config.yaml install-config.yaml.backup
Now we can create the manifest files and set up the OVN CNI settings:
$ openshift-install create manifests
INFO Credentials loaded from the "default" profile in file "/home/ec2-user/.aws/credentials"
INFO Consuming Install Config from target directory
$ cp -p manifests/cluster-network-02-config.yml manifests/cluster-network-03-config.yml
$ vi manifests/cluster-network-03-config.yml
The important things to change in this file are the apiVersion and defaultNetwork settings. It is important that the hybrid cluster network CIDR does not overlap with the cluster network CIDR. If you are following this guide exactly you can use this our network config file.
Here are the contents of our manifests/cluster-network-03-config.yml file:
apiVersion: operator.openshift.io/v1
kind: Network
metadata:
creationTimestamp: null
name: cluster
spec:
clusterNetwork:
- cidr: 10.128.0.0/14
hostPrefix: 23
externalIP:
policy: {}
networkType: OVNKubernetes
serviceNetwork:
- 172.30.0.0/16
defaultNetwork:
type: OVNKubernetes
ovnKubernetesConfig:
hybridOverlayConfig:
hybridClusterNetwork:
- cidr: 10.132.0.0/14
hostPrefix: 23
status: {}
Creation of the Cluster
With those files in place we can now create the cluster. Take a coffee break, this will take around 30 minutes to complete.
$ openshift-install create cluster
INFO Consuming Openshift Manifests from target directory
INFO Consuming Worker Machines from target directory
INFO Consuming Master Machines from target directory
INFO Consuming OpenShift Install (Manifests) from target directory
INFO Consuming Common Manifests from target directory
INFO Credentials loaded from the "default" profile in file "/home/ec2-user/.aws/credentials"
INFO Creating infrastructure resources...
INFO Waiting up to 20m0s for the Kubernetes API at https://api.win-test-cluster.example.com:6443...
INFO API v1.18.3+5302882 up
INFO Waiting up to 40m0s for bootstrapping to complete...
INFO Destroying the bootstrap resources...
INFO Waiting up to 30m0s for the cluster at https://api.win-test-cluster.example.com:6443 to initialize...
I1015 22:40:12.502855 1042 trace.go:116] Trace[1959950141]: "Reflector ListAndWatch" name:k8s.io/client-go/tools/watch/informerwatcher.go:146 (started: 2020-10-15
22:39:55.810110164 +0000 UTC m=+886.539985514) (total time: 16.692708687s):
Trace[1959950141]: [16.692655552s] [16.692655552s] Objects listed
INFO Waiting up to 10m0s for the openshift-console route to be created...
INFO Install complete!
INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/ec2-user/openshift_windows_cluster/auth/kubeconfig'
INFO Access the OpenShift web-console here: https://console-openshift-console.apps.win-test-cluster.example.com
INFO Login to the console with user: "kubeadmin", and password: "XXXXX-XXXXX-XXXXX-XXXXX"
INFO Time elapsed: 30m48s
Now you can run the export command and start using oc commands.
$ export KUBECONFIG=/home/ec2-user/openshift_windows_cluster/auth/kubeconfig
$ oc get nodes
NAME STATUS ROLES AGE VERSION
ip-10-0-128-115.us-east-2.compute.internal Ready master 1h v1.18.3+970c1b3
ip-10-0-150-141.us-east-2.compute.internal Ready worker 1h v1.18.3+970c1b3
ip-10-0-161-110.us-east-2.compute.internal Ready worker 1h v1.18.3+970c1b3
ip-10-0-186-69.us-east-2.compute.internal Ready master 1h v1.18.3+970c1b3
ip-10-0-201-57.us-east-2.compute.internal Ready master 1h v1.18.3+970c1b3
ip-10-0-220-129.us-east-2.compute.internal Ready worker 1h v1.18.3+970c1b3
$ oc version
Client Version: 4.5.14
Server Version: 4.5.14
Kubernetes Version: v1.18.3+5302882
To verify you have the proper network running you can run this command:
$ oc get network.operator cluster -o yaml
Look at the spec section of the yaml output. It should look like this.
spec:
clusterNetwork:
- cidr: 10.128.0.0/14
hostPrefix: 23
defaultNetwork:
ovnKubernetesConfig:
hybridOverlayConfig:
hybridClusterNetwork:
- cidr: 10.132.0.0/14
hostPrefix: 23
type: OVNKubernetes
serviceNetwork:
- 172.30.0.0/16
Bootstrapping the Windows Worker Nodes
If you already have an SSH keypair in AWS you can use that, if not you can generate a new one with the steps below. Note that you cannot use a key with a passphrase for Windows machines.
$ ssh-keygen -t rsa -b 4096 -N "" -C "example-key" -f ~/.ssh/example-key
$ aws --region us-east-2 ec2 import-key-pair --key-name "example-key" --public-key-material file://$HOME/.ssh/example-key.pub
Now we need to download the Windows node bootstrapper and create our Windows nodes. This will take about 5 minutes to run.
See this page for the latest releases: https://github.com/openshift/windows-machine-config-bootstrapper/releases
See this page for more info on wni: https://github.com/openshift/windows-machine-config-bootstrapper/tree/master/tools/windows-node-installer
Note: Due to a bug in the Intel 82599 network adapter used in most Intel based instances that causes issues with overlay networks, we suggest using AMD based instances like m5a.large
$ wget https://github.com/openshift/windows-machine-config-bootstrapper/releases/download/v4.5.2-alpha/wni -O ~/bin/wni
$ chmod +x ~/bin/wni && mkdir windowsnodeinstaller
$ wni aws create --kubeconfig $KUBECONFIG --credentials ~/.aws/credentials --credential-account default --instance-type m5a.large --ssh-key example-key --private-key ~/.ssh/example-key --dir ./windowsnodeinstaller/
2020/10/16 20:05:13 kubeconfig source: /home/ec2-user/openshift_windows_cluster/auth/kubeconfig
2020/10/16 20:05:14 Added rule with port 5986 to the security groups of your local IP
2020/10/16 20:05:14 Added rule with port 22 to the security groups of your local IP
2020/10/16 20:05:14 Added rule with port 3389 to the security groups of your local IP
2020/10/16 20:05:14 Using existing Security Group: sg-0123456789012345
2020/10/16 20:09:41 External IP: 4.138.182.84
2020/10/16 20:09:41 Internal IP: 10.0.42.50
After creating the node we can get the login info and run Ansible to finish node setup.
See this page for more information: https://github.com/openshift/windows-machine-config-bootstrapper/tree/master/tools/ansible
Get the Windows node Instance ID from the json file and get the Windows Administrator password. This password can also be used for RDP.
$ cat windowsnodeinstaller/windows-node-installer.json
{"InstanceIDs":["i-0123456789012345"],"SecurityGroupIDs":["sg-0123456789012345"]}
$ aws ec2 get-password-data --instance-id i-0123456789012345 --priv-launch-key ~/.ssh/example-key
Ansible Windows Node Finalization
Now we need to create an Ansible inventory file.
$ vi inventory.ini
Your file should look like this, with your Windows node password and node address. Be sure to put the password in single quotes and set the cluster address to match the name of your cluster and private IP to match your node as well.
[win]
4.138.182.84 ansible_password='YOURWINDOWSNODEPASSWORDHERE' private_ip=10.0.42.50
[win:vars]
ansible_user=Administrator
cluster_address=win-test-cluster.example.com
ansible_connection=winrm
ansible_ssh_port=5986
ansible_winrm_server_cert_validation=ignore
Verify Ansible connectivity with this command and look for SUCCESS in the output:
$ ansible win -i inventory.ini -m win_ping
4.138.182.84 | SUCCESS => {
"changed": false,
"ping": "pong"
}
Clone the Windows Machine Config Bootstrapper repo and run the ansible playbook against the node:
$ git clone https://github.com/openshift/windows-machine-config-bootstrapper.git
$ ansible-playbook -v -i inventory.ini windows-machine-config-bootstrapper/tools/ansible/tasks/wsu/main.yaml
This will produce a lot of output and take 10 minutes or so. In the end you should see the Play Recap. As long as 'failed=0' then everything should be good.
To check the node is good and working in the cluster run this command:
$ oc get nodes -o wide -l kubernetes.io/os=windows
NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME
ip-10-0-42-50.us-east-2.compute.internal Ready worker 29m v1.18.3 10.0.42.50 3.138.182.84 Windows Server 2019 Datacenter 10.0.17763.1518 docker://19.3.12
At this point you should use RDP to connect to the Windows worker node using the Administrator user and the password you pulled earlier. Just add the Windows Worker Node to a security group allowing RDP and then open a connection. After logging in start a powershell session with admin rights and run 'docker ps'.
Deploy a Windows sample application:
$ oc create -f https://raw.githubusercontent.com/keyvatech/blog_files/master/kubernetes_windows_web_server.yaml -n default
You can check it is running in OpenShift with this command:
$oc rollout status deployment win-webserver -n default
deployment "win-webserver" successfully rolled out
On Windows docker output should look like this:
PS C:\Users\Administrator> docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
09c8bbd2a7e8 mcr.microsoft.com/windows/servercore "powershell.exe -com…" 13 minutes ago Up 13 minutes k8s_windowswebserver_win-webserver-85b49f8677-cgqkq_default_01fe28db-5ae7-4ead-8e84-5d9d5cd2cb01_0
52d42f33de9d mcr.microsoft.com/k8s/core/pause:1.2.0 "cmd /S /C 'cmd /c p…" 16 minutes ago Up 16 minutes k8s_POD_win-webserver-85b49f8677-cgqkq_default_01fe28db-5ae7-4ead-8e84-5d9d5cd2cb01_0
If you have any issues try waiting 15 minutes and then redeploying with one of the following commands:
$ oc rollout restart deployment/win-webserver
$ oc rollout retry deployment/win-webserver
To look at logs for the container, do this:
$ oc get pods
NAME READY STATUS RESTARTS AGE
win-webserver-564d75c5f7-l4kk2 1/1 Running 0 96s
$ oc logs win-webserver-564d75c5f7-l4kk2
Listening at http://*:80/
After the application is up and running DNS will take up to 5 minutes to populate. So if this doesn't work try again. Check the service is up and running by getting the external IP for the service and curling it.
$ oc get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 172.30.0.1 <none> 443/TCP 23h
openshift ExternalName <none> kubernetes.default.svc.cluster.local <none> 23h
win-webserver LoadBalancer 172.30.88.146 a038a9aa4571f4a7cafaf15ebf7ae270-23672059.us-east-2.elb.amazonaws.com 80:32601/TCP 35m
$ curl a038a9aa4571f4a7cafaf15ebf7ae270-23672059.us-east-2.elb.amazonaws.com
<html><body><H1>Windows Container Web Server</H1></body></html>
Deleting the Cluster
If you're all done and want to tear down here are the commands:
$ wni aws destroy --kubeconfig $KUBECONFIG --credentials ~/.aws/credentials --credential-account default --dir ./windowsnodeinstaller/
$ openshift-install destroy cluster
If you have any questions about the steps documented here, or have any feedback or requests, please let us know at [email protected].
By Brad Johnson, Lead DevOps Engineer
This guide covers how to set up an OpenShift cluster in AWS with Windows worker nodes. Because this requires the OVN Kubernetes container network interface you can not simply add Windows nodes to existing clusters. Please also understand that this functionality is still considered to be preview or beta from Red Hat is not supported in production environments at this time. This functionality also requires using OpenShift 4.4 or later, we tested this using OpenShift 4.5, which was the latest when this was published.
Requirements:
- Ansible 2.9+
- Python 3
- Python winrm module
- AWS CLI
- OpenShift 4.4+
- OC CLI 4.4+
- GIT
- AWS IAM User with programmatic access key and AdministratorAccess policy attached
Environment Setup:
If you don't have an environment that meets the above specs then create an EC2 instance with Amazon Linux 2.
I used a t2.micro instance and a security group allowing SSH on port 22. This environment already has the AWS CLI set up. During my run I only needed 4GB total disk space so the default disk size is fine.
After the instance is launched, SSH to the new VM as 'ec2-user' using your keyfile.
Run the following commands to set up python pre-reqs:
$ sudo yum install python3 python3-pip git
$ pip3 install --user pywinrm ansible
Navigate to https://cloud.redhat.com/openshift/install/aws/installer-provisioned and log in with your Red Hat account. This page provides links to the latest installer and CLI. You will also need to download your pull secret from here. These are correct as of Oct 2020, however if you have an issue, please use the links on the latest page from Red Hat.
Download OpenShift CLI and Installer and place the binaries in the $PATH. Note: /home/ec2-user/bin is in the default of $PATH on AMZ Linux 2 and openshift-client also contains a kubectl binary.
$ cd ~
$ wget https://mirror.openshift.com/pub/openshift-v4/clients/ocp/latest/openshift-client-linux.tar.gz
$ mkdir bin && tar -xvf openshift-client-linux.tar.gz --directory bin && mv bin/README.md ~/openshift-client-README.md
$ wget https://mirror.openshift.com/pub/openshift-v4/clients/ocp/latest/openshift-install-linux.tar.gz
$ tar -xvf openshift-install-linux.tar.gz --directory bin && mv bin/README.md ~/openshift-install-README.md
Check the versions of the pre-reqs. Here is the output from when I tested this example as well.
$ ansible --version
ansible 2.10.2
config file = None
configured module search path = ['/home/ec2-user/.ansible/plugins/modules', '/usr/share/ansible/plugins/modules']
ansible python module location = /home/ec2-user/.local/lib/python3.7/site-packages/ansible
executable location = /home/ec2-user/.local/bin/ansible
python version = 3.7.9 (default, Aug 27 2020, 21:59:41) [GCC 7.3.1 20180712 (Red Hat 7.3.1-9)]
$ aws --version
aws-cli/1.18.107 Python/2.7.18 Linux/4.14.193-149.317.amzn2.x86_64 botocore/1.17.31
$ oc version
Client Version: 4.5.14
$ openshift-install version
openshift-install 4.5.14
built from commit 9893a482f310ee72089872f1a4caea3dbec34f28
release image quay.io/openshift-release-dev/ocp-release@sha256:95cfe9273aecb9a0070176210477491c347f8e69e41759063642edf8bb8aceb6
$ kubectl version
Client Version: version.Info{Major:"1", Minor:"18", GitVersion:"v1.18.2-0-g52c56ce", GitCommit:"d7f3ccf9a5bdc96ba92e31526cf014b3de4c46aa", GitTreeState:"clean", BuildDate:"2020-09-16T15:25:59Z", GoVersion:"go1.13.4", Compiler:"gc", Platform:"linux/amd64"}
$ pip3 freeze
ansible==2.10.1
ansible-base==2.10.2
certifi==2020.6.20
cffi==1.14.3
chardet==3.0.4
cryptography==3.1.1
idna==2.10
Jinja2==2.11.2
MarkupSafe==1.1.1
ntlm-auth==1.5.0
packaging==20.4
pycparser==2.20
pyparsing==2.4.7
pywinrm==0.4.1
PyYAML==5.3.1
requests==2.24.0
requests-ntlm==1.1.0
six==1.15.0
urllib3==1.25.10
xmltodict==0.12.0
$ pip3 show pywinrm
Name: pywinrm
Version: 0.4.1
Summary: Python library for Windows Remote Management
Home-page: http://github.com/diyan/pywinrm/
Author: Alexey Diyan
Author-email: [email protected]
License: MIT license
Location: /home/ec2-user/.local/lib/python3.7/site-packages
Requires: xmltodict, requests, requests-ntlm, six
Configure the AWS and the AWS CLI
You will need an AWS IAM user with a programmatic access key and the AdministratorAccess policy attached. You will also need to set up Route53 for a public cluster, but this is not reqiured, if you wish to create a private cluster see our steps below.
See this page for information on setting up your AWS account. https://docs.openshift.com/container-platform/4.5/installing/installing_aws/installing-aws-account.html
If you need information on names for availability zones you can run one of the following commands.
Be sure you are using a region supported by RedHat for Openshift on the AWS.
$ aws ec2 describe-regions
$ aws ec2 describe-availability-zones --region us-east-2
$ aws ec2 describe-availability-zones --all-availability-zones
Run these commands to set up the AWS CLI
$ aws configure
AWS Access Key ID [None]: YOURACCESSKEYID
AWS Secret Access Key [None]: YOURSECRETACCESSKEY
Default region name [None]: us-east-2
Default output format [None]: json
We are now ready to set up the OpenShift Cluster. Please go to 'Creating an OpenShift Cluster in AWS with Windows Worker Nodes (Part II)'.
https://cloud.redhat.com/openshift/install/
If you are interested in deploying Windows worker nodes with Rancher, please see our post here.
If you have any questions about the steps documented here, or have any feedback or requests, please let us know at [email protected].
By Brad Johnson, Lead DevOps Engineer
When considering infrastructure automation Terraform and Ansible are usually brought up. Both do some things really well, but also have limitations. Terraform is an infrastructure as code tool, whereas Ansible is a configuration management tool that can also do infrastructure as code. I've had people ask about how the tools compare and which one to use and when, so let's explore these tools and talk about the benefits of each.
First, why would you use Terraform? The single most important reason is that Terraform, like Ansible, is platform agnostic. This means that if you have a hybrid or multi cloud application or service, you can use terraform to manage the infrastructure in a single repository. Cloud vendor specific solutions like AWS CloudFormation templates work well, but they are limited to using within the platform they are available in. With Terraform's ability to support multiple providers, you can do things like managing the infrastructure code definition of on-premise and AWS/GCP/Azure Cloud VMs, load balancers, DNS, or network configuration in the same set of files. Using a single common configuration language means greater flexibility in transitioning to new environments and reducing vendor lock-in. Another reason you should consider using Terraform is that, unlike Ansible, it works on the principle of understanding the current vs desired state. This means that if you do something like deploy a VM via Terraform, then later delete that block of configuration, Terraform will delete the VM. So your Terraform code is declarative of your infrastructure. With Ansible you would need to write additional code to perform an operation similar to this, as Ansible is not aware of the state from previous runs. Another benefit of Terraform is that you can see what it will do before you run it by using the 'terraform plan' command.
However, if you already have a significant amount of infrastructure deployed, it can be time consuming to import your current environment to manage under Terraform. You can use it for new deployments without importing existing environment configurations, however it won't be able to manage those existing resources. Terraform also stores the state of what was provisioned in a state file. This means that if there are multiple people working on the code then they must run it out of a single common location with the same state file. Cloud providers can use cloud storage buckets to store the state file. The ideal solution might be using a CI or Orchestration system to run the 'terraform apply' to deploy infrastructure changes, and gating the process via approvals in ITSM. It is critical to ensure actual changes are applied from a single source of truth, like a master git branch. Also, while Terraform is extensible with custom providers ,you will need to write them in Go, which is not yet as widely used as Python.
Now let's look at why Ansible. The best thing about Ansible is that it can handle a wide variety of configuration and deployment tasks using standard modules and it's easily extensible with Python. You can deploy a VM, use templates in case of custom configuration files, communicate with REST APIs, interact with git repos, and easily configure Linux or custom software all using already available standard modules. Building your own custom Ansible modules, which typically isn't needed given the exhaustive Ansible library, requires minimal programming effort. An example 'hello world' module only requires 4 lines of Python code. Drop the code in a 'library' directory next to your playbook and you're ready to use it. Ansible also comes with 'ansible-vault' which provides a way to store sensitive variables in encrypted yaml files in your playbook repo, which can be decrypted at runtime using a vault password. Because of these features, you can easily implement a wide variety of use cases using Ansible to achieve configuration as code. Some example cases we've used Ansible for include deployment of Linux OS hardening changes to meet security standard compliance, configuring Apache Tomcat and Oracle Weblogic as part of application server deployment, integrating with ITSM (IT Service Management) and CMDB (Configuration Management Database) platforms, and interacting with silent installers and CLIs using Keyva built custom modules like one for Python Pexpect.
Now, given that Ansible does not store state of the resources, you will need to write playbooks to handle removal of resources. Meaning, even if you deployed something and Ansible made sure it was 'present', to remove it you would usually need to run the same function with the named resource as 'absent'. For simple things like removing a file, this is easy and you just need to remove the code after it is run once everywhere. For more complex use cases, you can get around this limitation by writing playbooks in a way that queries existing resources into variable lists, compares to what is in Ansible, then removes the items that do not match. However, this would take additional time, is more complex, and does not account for any changes that were made on target resources manually. From a configuration, compliance and remediation standpoint, this may actually be desirable for some organizations.
What's great about both tools is that they can work with each other. There's no reason to believe that one tool needs to own the whole process. Given their differences in scope, while they can do similar things, they are in no way replacements for the full functionality of the other. Terraform can be set up to run Ansible on a host after provisioning to do the configuration of that host. Likewise, Ansible can use the Terraform module to plan or apply a Terraform project as a step within a playbook. The Ansible module for Terraform also returns the outputs from Terraform as variables that Ansible can consume and use for further action. When designing and implementing infrastructure-as-code in your environment, it is important to consider which tool is best suited for each part of the task. It is also imperative to consider combining Terraform with Ansible when deploying infrastructure. If you need help getting started or advice on best practices around implementing infrastructure-as-code, please reach out to [email protected].
[post_title] => Ansible vs. Terraform: Understanding the Differences [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => ansible-vs-terraform-understanding-the-differences [to_ping] => [pinged] => [post_modified] => 2020-10-01 15:03:01 [post_modified_gmt] => 2020-10-01 15:03:01 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=2921 [menu_order] => 10 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [3] => WP_Post Object ( [ID] => 2911 [post_author] => 7 [post_date] => 2020-09-25 13:36:20 [post_date_gmt] => 2020-09-25 13:36:20 [post_content] =>By Anuj Tuli, CTO
Many organizations that use PowerBI for business insights and analytics have a need to run their reports against various data sources, including workloads that they may have residing in Amazon AWS. There can be a number of various data sources configured for AWS; this blog walks through how to set up connectivity between PowerBI and AWS Aurora MySQL Database.
Assumptions:
First, let's look at various configurations that we need to set up on the AWS side -
Next, we will configure the PowerBI components -
One of the most common ODBC errors we've seen is when the ODBC connector is unable to connect to the database. This usually happens either because the public subnet for the VPC is not associated with the Windows EC2 instance, or the public accessibility flag for the database is not set.
If you have any questions or comments on the tutorial content above, or run in to specific errors not covered here, please feel free to reach out to [email protected]
[post_title] => How to set up PowerBI for reporting from AWS Aurora MySQL Database [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => how-to-set-up-powerbi-for-reporting-from-aws-aurora-mysql-database [to_ping] => [pinged] => [post_modified] => 2020-09-25 13:36:20 [post_modified_gmt] => 2020-09-25 13:36:20 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=2911 [menu_order] => 7 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [4] => WP_Post Object ( [ID] => 2908 [post_author] => 7 [post_date] => 2020-09-24 18:41:45 [post_date_gmt] => 2020-09-24 18:41:45 [post_content] =>By Anuj Tuli, CTO
Organizations that have embarked on the journey to collecting and analyzing data are tasked with three distinct workstreams to achieve their goal – 1) Identifying the right data to capture, 2) Bringing data from various sources into the data warehouse, 3) Performing guided analysis on the captured data so as to derive meaning from it.
A modern data warehouse platform helps bring these activities together, so that you can easily identify, capture and retrieve data from various sources, and provide visibility and reporting capabilities for chosen interpretation. Snowflake is built for data scientists and data engineers, and it supports modern data and applications that use as much unstructured data as structured data.
Snowflake offers SaaS data warehousing services, and have also made available a number of connectors for data retrieval on their github here - https://github.com/snowflakedb. There is also a community page that provides hands-on exposure to the Snowflake platform, and other educational videos. More info here - https://community.snowflake.com/s/education-services
Keyva provides services and offerings around Snowflake data warehousing platform. You can always reach our team at: [email protected] to request additional information.
[post_title] => Big Data and Snowflake [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => big-data-and-snowflake [to_ping] => [pinged] => [post_modified] => 2020-09-24 18:41:45 [post_modified_gmt] => 2020-09-24 18:41:45 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=2908 [menu_order] => 7 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [5] => WP_Post Object ( [ID] => 2903 [post_author] => 7 [post_date] => 2020-09-21 12:49:38 [post_date_gmt] => 2020-09-21 12:49:38 [post_content] =>
By Anuj Tuli, CTO
Kong recently announced the availability of its certified container-based Kong Enterprise on Red Hat Marketplace. You can find the press release announcement here.
Kong Enterprise provides the ability to configure RBAC, includes enterprise wide support, and many other features, in addition to the agility and speed offered by the community version. Red Hat Openshift is one of the most widely used enterprise container platforms. With Kong's addition to Red Hat Marketplace, organizations that use Openshift can now leverage API abstraction capability natively as part of deploying their microservices based workloads, while managing the full lifecycle of deployed API layer (abstraction, monetization, reporting, throttling) via the Kong interface.
Keyva has strategic partnerships with both Red Hat and Kong – and provides project managed deliverable based consulting services around Red Hat Openshift and Ansible offerings, as well as Kong Enterprise offerings. Keyva's IP offerings include certified ServiceNow integrations - for Openshift, as well as for Kong.
[post_title] => Kong Enterprise on Red Hat Marketplace [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => kong-enterprise-on-red-hat-marketplace [to_ping] => [pinged] => [post_modified] => 2020-09-24 14:57:08 [post_modified_gmt] => 2020-09-24 14:57:08 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=2903 [menu_order] => 7 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [6] => WP_Post Object ( [ID] => 2900 [post_author] => 7 [post_date] => 2020-09-17 13:02:05 [post_date_gmt] => 2020-09-17 13:02:05 [post_content] =>By Anuj Tuli, CTO
ServiceNow recently announced the general availability of their latest Paris release. Highlights in this release include Process Automation Designer to manage your automation workflows through a single console, Predictive Intelligence Workbench which provides platform recommendations based on machine learning, and Playbooks for Customer Service Management to provide enhanced customer service processes.
You can look up release notes for Paris release here - https://docs.servicenow.com/bundle/paris-release-notes/page/release-notes/family-release-notes.html
Keyva is a Premier Partner of ServiceNow and has multiple "NOW" Certified integrations available on the ServiceNow store. You can find more about these integrations here. Our ServiceNow App for Red Hat Ansible Tower and ServiceNow App for Red Hat Openshift offerings are already certified against the latest Paris release.
You can always reach our team at: [email protected] to request additional information.
[post_title] => ServiceNow Paris Release [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => servicenow-paris-release [to_ping] => [pinged] => [post_modified] => 2024-05-28 17:34:01 [post_modified_gmt] => 2024-05-28 17:34:01 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=2900 [menu_order] => 7 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [7] => WP_Post Object ( [ID] => 2896 [post_author] => 7 [post_date] => 2020-09-16 12:20:52 [post_date_gmt] => 2020-09-16 12:20:52 [post_content] =>By Anuj Tuli, CTO
The Docker container engine is generally accepted as the de facto standard for container run times. Docker Enterprise is the supported enterprise option that provides container orchestration layer leveraging Kubernetes (or Swarm) and also supports highly-available and highly-scalable cluster architecture.
Launchpad 2020 is an inaugural virtual event that covers technical sessions and other major announcements around the Docker Enterprise platform. The event will be help on 16th September 2020 – and is scheduled to reveal a new offering called Docker Enterprise Container Cloud. The technical tracks are categorized for Docker Enterprise, Operations and IT, and Developer focused talks.
You can find the detailed agenda for this event here - https://mirantis.events.cube365.net/mirantis/launchpad-2020/agenda
Keyva provides services and offerings around open-source Docker and Docker Enterprise platforms. You can always reach our team at: [email protected] to request additional information.
[post_title] => Docker Enterprise - Launchpad 2020 [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => docker-enterprise-launchpad-2020 [to_ping] => [pinged] => [post_modified] => 2020-09-16 12:20:52 [post_modified_gmt] => 2020-09-16 12:20:52 [post_content_filtered] => [post_parent] => 0 [guid] => https://keyvatech.com/?p=2896 [menu_order] => 7 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 8 [current_post] => -1 [before_loop] => 1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 2952 [post_author] => 7 [post_date] => 2020-10-21 16:24:17 [post_date_gmt] => 2020-10-21 16:24:17 [post_content] =>
By Brad Johnson, Lead DevOps Engineer
Continuing from 'Creating an OpenShift Cluster in AWS with Windows Worker Nodes (Part I)', we are going to install OpenShift Cluster in this section. We are going to use a public Route53 domain name for our install.
If you wish to create a private cluster then you will need to do a bit more setup. See the following pages for more information on creating a private cluster that does not require DNS. The first page has the RedHat solution on the install-config program not supporting private clusters and contains an install config yaml file to use instead of the install-config command.
https://access.redhat.com/solutions/5158831
https://access.redhat.com/sites/default/files/attachments/aws-internal-install-config.yml
This page has more info on the install process and limitations of private clusters:
https://docs.openshift.com/container-platform/4.5/installing/installing_aws/installing-aws-private.html
First create the install-config yaml file and back it up as it is consumed by manifest creation.
Note: from here out all commands are run from the openshift_windows_cluster directory unless otherwise stated.
$ mkdir ~/openshift_windows_cluster && cd ~/openshift_windows_cluster
$ openshift-install create install-config
? Platform aws
INFO Credentials loaded from the "default" profile in file "/home/ec2-user/.aws/credentials"
? Region us-east-2
? Base Domain example.com
? Cluster Name win-test-cluster
? Pull Secret [? for help] (Paste your Pull Secret from the Red Hat web site or text file you downloaded)
$ sed -i 's/OpenShiftSDN/OVNKubernetes/g' install-config.yaml
$ cp -p install-config.yaml install-config.yaml.backup
Now we can create the manifest files and set up the OVN CNI settings:
$ openshift-install create manifests
INFO Credentials loaded from the "default" profile in file "/home/ec2-user/.aws/credentials"
INFO Consuming Install Config from target directory
$ cp -p manifests/cluster-network-02-config.yml manifests/cluster-network-03-config.yml
$ vi manifests/cluster-network-03-config.yml
The important things to change in this file are the apiVersion and defaultNetwork settings. It is important that the hybrid cluster network CIDR does not overlap with the cluster network CIDR. If you are following this guide exactly you can use this our network config file.
Here are the contents of our manifests/cluster-network-03-config.yml file:
apiVersion: operator.openshift.io/v1
kind: Network
metadata:
creationTimestamp: null
name: cluster
spec:
clusterNetwork:
- cidr: 10.128.0.0/14
hostPrefix: 23
externalIP:
policy: {}
networkType: OVNKubernetes
serviceNetwork:
- 172.30.0.0/16
defaultNetwork:
type: OVNKubernetes
ovnKubernetesConfig:
hybridOverlayConfig:
hybridClusterNetwork:
- cidr: 10.132.0.0/14
hostPrefix: 23
status: {}
Creation of the Cluster
With those files in place we can now create the cluster. Take a coffee break, this will take around 30 minutes to complete.
$ openshift-install create cluster
INFO Consuming Openshift Manifests from target directory
INFO Consuming Worker Machines from target directory
INFO Consuming Master Machines from target directory
INFO Consuming OpenShift Install (Manifests) from target directory
INFO Consuming Common Manifests from target directory
INFO Credentials loaded from the "default" profile in file "/home/ec2-user/.aws/credentials"
INFO Creating infrastructure resources...
INFO Waiting up to 20m0s for the Kubernetes API at https://api.win-test-cluster.example.com:6443...
INFO API v1.18.3+5302882 up
INFO Waiting up to 40m0s for bootstrapping to complete...
INFO Destroying the bootstrap resources...
INFO Waiting up to 30m0s for the cluster at https://api.win-test-cluster.example.com:6443 to initialize...
I1015 22:40:12.502855 1042 trace.go:116] Trace[1959950141]: "Reflector ListAndWatch" name:k8s.io/client-go/tools/watch/informerwatcher.go:146 (started: 2020-10-15
22:39:55.810110164 +0000 UTC m=+886.539985514) (total time: 16.692708687s):
Trace[1959950141]: [16.692655552s] [16.692655552s] Objects listed
INFO Waiting up to 10m0s for the openshift-console route to be created...
INFO Install complete!
INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/ec2-user/openshift_windows_cluster/auth/kubeconfig'
INFO Access the OpenShift web-console here: https://console-openshift-console.apps.win-test-cluster.example.com
INFO Login to the console with user: "kubeadmin", and password: "XXXXX-XXXXX-XXXXX-XXXXX"
INFO Time elapsed: 30m48s
Now you can run the export command and start using oc commands.
$ export KUBECONFIG=/home/ec2-user/openshift_windows_cluster/auth/kubeconfig
$ oc get nodes
NAME STATUS ROLES AGE VERSION
ip-10-0-128-115.us-east-2.compute.internal Ready master 1h v1.18.3+970c1b3
ip-10-0-150-141.us-east-2.compute.internal Ready worker 1h v1.18.3+970c1b3
ip-10-0-161-110.us-east-2.compute.internal Ready worker 1h v1.18.3+970c1b3
ip-10-0-186-69.us-east-2.compute.internal Ready master 1h v1.18.3+970c1b3
ip-10-0-201-57.us-east-2.compute.internal Ready master 1h v1.18.3+970c1b3
ip-10-0-220-129.us-east-2.compute.internal Ready worker 1h v1.18.3+970c1b3
$ oc version
Client Version: 4.5.14
Server Version: 4.5.14
Kubernetes Version: v1.18.3+5302882
To verify you have the proper network running you can run this command:
$ oc get network.operator cluster -o yaml
Look at the spec section of the yaml output. It should look like this.
spec:
clusterNetwork:
- cidr: 10.128.0.0/14
hostPrefix: 23
defaultNetwork:
ovnKubernetesConfig:
hybridOverlayConfig:
hybridClusterNetwork:
- cidr: 10.132.0.0/14
hostPrefix: 23
type: OVNKubernetes
serviceNetwork:
- 172.30.0.0/16
Bootstrapping the Windows Worker Nodes
If you already have an SSH keypair in AWS you can use that, if not you can generate a new one with the steps below. Note that you cannot use a key with a passphrase for Windows machines.
$ ssh-keygen -t rsa -b 4096 -N "" -C "example-key" -f ~/.ssh/example-key
$ aws --region us-east-2 ec2 import-key-pair --key-name "example-key" --public-key-material file://$HOME/.ssh/example-key.pub
Now we need to download the Windows node bootstrapper and create our Windows nodes. This will take about 5 minutes to run.
See this page for the latest releases: https://github.com/openshift/windows-machine-config-bootstrapper/releases
See this page for more info on wni: https://github.com/openshift/windows-machine-config-bootstrapper/tree/master/tools/windows-node-installer
Note: Due to a bug in the Intel 82599 network adapter used in most Intel based instances that causes issues with overlay networks, we suggest using AMD based instances like m5a.large
$ wget https://github.com/openshift/windows-machine-config-bootstrapper/releases/download/v4.5.2-alpha/wni -O ~/bin/wni
$ chmod +x ~/bin/wni && mkdir windowsnodeinstaller
$ wni aws create --kubeconfig $KUBECONFIG --credentials ~/.aws/credentials --credential-account default --instance-type m5a.large --ssh-key example-key --private-key ~/.ssh/example-key --dir ./windowsnodeinstaller/
2020/10/16 20:05:13 kubeconfig source: /home/ec2-user/openshift_windows_cluster/auth/kubeconfig
2020/10/16 20:05:14 Added rule with port 5986 to the security groups of your local IP
2020/10/16 20:05:14 Added rule with port 22 to the security groups of your local IP
2020/10/16 20:05:14 Added rule with port 3389 to the security groups of your local IP
2020/10/16 20:05:14 Using existing Security Group: sg-0123456789012345
2020/10/16 20:09:41 External IP: 4.138.182.84
2020/10/16 20:09:41 Internal IP: 10.0.42.50
After creating the node we can get the login info and run Ansible to finish node setup.
See this page for more information: https://github.com/openshift/windows-machine-config-bootstrapper/tree/master/tools/ansible
Get the Windows node Instance ID from the json file and get the Windows Administrator password. This password can also be used for RDP.
$ cat windowsnodeinstaller/windows-node-installer.json
{"InstanceIDs":["i-0123456789012345"],"SecurityGroupIDs":["sg-0123456789012345"]}
$ aws ec2 get-password-data --instance-id i-0123456789012345 --priv-launch-key ~/.ssh/example-key
Ansible Windows Node Finalization
Now we need to create an Ansible inventory file.
$ vi inventory.ini
Your file should look like this, with your Windows node password and node address. Be sure to put the password in single quotes and set the cluster address to match the name of your cluster and private IP to match your node as well.
[win]
4.138.182.84 ansible_password='YOURWINDOWSNODEPASSWORDHERE' private_ip=10.0.42.50
[win:vars]
ansible_user=Administrator
cluster_address=win-test-cluster.example.com
ansible_connection=winrm
ansible_ssh_port=5986
ansible_winrm_server_cert_validation=ignore
Verify Ansible connectivity with this command and look for SUCCESS in the output:
$ ansible win -i inventory.ini -m win_ping
4.138.182.84 | SUCCESS => {
"changed": false,
"ping": "pong"
}
Clone the Windows Machine Config Bootstrapper repo and run the ansible playbook against the node:
$ git clone https://github.com/openshift/windows-machine-config-bootstrapper.git
$ ansible-playbook -v -i inventory.ini windows-machine-config-bootstrapper/tools/ansible/tasks/wsu/main.yaml
This will produce a lot of output and take 10 minutes or so. In the end you should see the Play Recap. As long as 'failed=0' then everything should be good.
To check the node is good and working in the cluster run this command:
$ oc get nodes -o wide -l kubernetes.io/os=windows
NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME
ip-10-0-42-50.us-east-2.compute.internal Ready worker 29m v1.18.3 10.0.42.50 3.138.182.84 Windows Server 2019 Datacenter 10.0.17763.1518 docker://19.3.12
At this point you should use RDP to connect to the Windows worker node using the Administrator user and the password you pulled earlier. Just add the Windows Worker Node to a security group allowing RDP and then open a connection. After logging in start a powershell session with admin rights and run 'docker ps'.
Deploy a Windows sample application:
$ oc create -f https://raw.githubusercontent.com/keyvatech/blog_files/master/kubernetes_windows_web_server.yaml -n default
You can check it is running in OpenShift with this command:
$oc rollout status deployment win-webserver -n default
deployment "win-webserver" successfully rolled out
On Windows docker output should look like this:
PS C:\Users\Administrator> docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
09c8bbd2a7e8 mcr.microsoft.com/windows/servercore "powershell.exe -com…" 13 minutes ago Up 13 minutes k8s_windowswebserver_win-webserver-85b49f8677-cgqkq_default_01fe28db-5ae7-4ead-8e84-5d9d5cd2cb01_0
52d42f33de9d mcr.microsoft.com/k8s/core/pause:1.2.0 "cmd /S /C 'cmd /c p…" 16 minutes ago Up 16 minutes k8s_POD_win-webserver-85b49f8677-cgqkq_default_01fe28db-5ae7-4ead-8e84-5d9d5cd2cb01_0
If you have any issues try waiting 15 minutes and then redeploying with one of the following commands:
$ oc rollout restart deployment/win-webserver
$ oc rollout retry deployment/win-webserver
To look at logs for the container, do this:
$ oc get pods
NAME READY STATUS RESTARTS AGE
win-webserver-564d75c5f7-l4kk2 1/1 Running 0 96s
$ oc logs win-webserver-564d75c5f7-l4kk2
Listening at http://*:80/
After the application is up and running DNS will take up to 5 minutes to populate. So if this doesn't work try again. Check the service is up and running by getting the external IP for the service and curling it.
$ oc get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 172.30.0.1 <none> 443/TCP 23h
openshift ExternalName <none> kubernetes.default.svc.cluster.local <none> 23h
win-webserver LoadBalancer 172.30.88.146 a038a9aa4571f4a7cafaf15ebf7ae270-23672059.us-east-2.elb.amazonaws.com 80:32601/TCP 35m
$ curl a038a9aa4571f4a7cafaf15ebf7ae270-23672059.us-east-2.elb.amazonaws.com
<html><body><H1>Windows Container Web Server</H1></body></html>
Deleting the Cluster
If you're all done and want to tear down here are the commands:
$ wni aws destroy --kubeconfig $KUBECONFIG --credentials ~/.aws/credentials --credential-account default --dir ./windowsnodeinstaller/
$ openshift-install destroy cluster
If you have any questions about the steps documented here, or have any feedback or requests, please let us know at [email protected].