I have the latest version of OpenShift installed on-prem. I am trying to find a way to dynamically provision PVCs, what is the best solution available for on-prem version of OpenShift? I have been looking into minIO and longhorn but I could not integrate with my OnPrem solution yet.
Can anyone provide some insight here?
Thanks,
Tintu
If you have an NFS server somewhere, it is very easy to setup a nfs dynamic provisionner: Check NFS client provisionner project here
Another approach is to install and use the CSI driver corresponding to your storage devices
Kubernetes CSI drivers are here (There is also a beta version of the NFS CSI driver...)
ANd BTW, Minio provides "object stirage" with an AWS S3 compatible interface, there is no such thing as "dynamic object storage" allocation in OCP/K8S...
Related
I am looking for a way to install AppDynamics in a OpenShift Cluster.
Unable to find proper documentation on how to install and what tools need to be installed.
Should My Application Docker file also include any images related to AppDynamics
If anyone familiar with this please share some steps or provide reference to documents.
Old docs: https://docs.appdynamics.com/22.2/en/infrastructure-visibility/monitor-containers-with-docker-visibility/use-docker-visibility-with-red-hat-openshift
New Docs: https://docs.appdynamics.com/22.2/en/infrastructure-visibility/monitor-kubernetes-with-the-cluster-agent
Note that there is not a prescribed way to instrument as such, you need to make some decisions.
i.e. (from the second doc link):
The first decision is to use the officially released pre-built
Appdynamics Operator images published on DockerHub and Redhat
Registry or If you want to build a custom Appdynamics Operator image.
See Build the Custom Cluster Agent Image.
The second decision is whether to use the officially released
pre-built Cluster Agent images published on DockerHub and Redhat
Registry or If you want to build a custom Cluster Agent image. See
Cluster Agent Container Image.
The third decision is whether to install the Cluster Agent using the
Kubernetes CLI or the Cluster Agent Helm Chart. See Install the
Cluster Agent with the Kubernetes CLI and Install the Cluster Agent
with Helm Charts.
Who has installed Openshift4 on Virtualbox VMs? How to bypass BMC limitations (BMC is required in install-config.yaml)?
https://docs.openshift.com/container-platform/4.6/installing/installing_bare_metal_ipi/ipi-install-installation-workflow.html#configuring-the-install-config-file_ipi-install-configuration-files
The prerequisites for an OCP 4.6 IPI (Installer Provisioned Infrastructure) install requires BMC access to each node.
With this setup a UPI (User Provisioned Infrastucture) deployment would be a better fit. You would need to set up the VMs and DNS entries before starting the deployment, as described in https://docs.openshift.com/container-platform/4.6/installing/installing_bare_metal/installing-bare-metal.html#installation-requirements-user-infra_installing-bare-metal.
I used to test installed mongodb-shard on kubernetes by helm,but I found that those helm charts are not really a qualified mongodb shard.These helm charts can correctly create Pods with names like mongos-1 mongod-server-1 mongod-shard-1,this seems to be a correct shard cluster configuration, but the appropriate mongos, mongod server instance is not created on the corresponding Pod.They just create a normal mongod instance on the corresponding pod, and there is no connection between them.Do I need to add scripts to execute commands similar to rs.addShard(config)?Encountered the same problem when installing mysql cluster using helm.
What I want to know is, is it not appropriate to install mysql/mongodb cluster on kubernetes in general scenarios?Is the database installed independently or deployed on Kubernetes?
Yes, you can deploy MongoDB instances on Kubernetes clusters.
Use standalone instance if you want to test and develop and replica set for production like deployments.
Also to make things easier you can use MongoDB Enterprise Kubernetes Operator:
The Operator enables easy deploys of MongoDB into Kubernetes clusters,
using our management, monitoring and backup platforms, Ops Manager and
Cloud Manager. By installing this integration, you will be able to
deploy MongoDB instances with a single simple command.
This guide has references to the official MongoDB documentation with more necessary details regarding:
Install Kubernetes Operator
Deploy Standalone
Deploy Replica Set
Deploy Sharded Cluster
Edit Deployment
Kubernetes Resource Specification
Troubleshooting Kubernetes Operator
Known Issues for Kubernetes Operator
So basically all you need to know in this topic.
Please let me know if that helped.
From what I gather, the only way to use a MySQL database with Azure websites is to use Cleardb but can I install MySQL on VMs provided in Azure Cloud Services. And if so how?
This question might get closed and moved to ServerFault (where it really belongs). That said: ClearDB provides MySQL-as-a-Service in Azure. It has nothing to do with what you can install in your own Virtual Machines. You can absolutely do a VM-based MySQL install (or any other database engine that you can install on Linux or Windows). In fact, the Azure portal even has a tutorial for a MySQL installation on OpenSUSE.
If you're referring to installing in web/worker roles: This simply isn't a good fit for database engines, due to:
the need to completely script/automate the install with zero interaction (which might take a long time). This includes all necessary software being downloaded/installed to the vm images every time a new instance is spun up.
the likely inability for a database cluster to cope with arbitrary scale-out (the typical use case for web/worker roles). Database clusters may or may not work well when a scale-out occurs (adding an additional vm). Same thing when scaling in (removing a vm).
less-optimal attached-storage configuration
inability to use Linux VMs
So, assuming you're still ok with Virtual Machines (vs stateless Cloud Service vm's): You'll need to carefully plan your deployment, with decisions such as:
Distro (Ubuntu, CentOS, etc). Azure-supported Linux distro list here
Selecting proper VM size (the DS series provide SSD attached disk support; the G series scale to 448GB RAM)
Azure Storage attached disks being non-Premium or Premium (premium disks are SSD-backed, durable disks scaling to 1TB/5000 IOPS per disk, up to 32 disks per VM depending on VM size)
Virtual network configuration (for multi-node cluster)
Accessibility of database cluster (whether your app is in the vnet or accesses it through a public endpoint; and if the latter, setting up ACL's)
Backup / HA / DR planning
Someone else mentioned using a pre-built VM image from VM Depot. Just realize that, if you go that route, you're relying on someone else to configure the database engine install for you. This may or may not be optimal for what you're trying to achieve. And the images may or may not be up-to-date with the latest versions, patches, etc.
Of course, what I wrote applies to any database engine you install in your own virtual machines, where a service provider (such as ClearDB) tends to take care of most of these things for you.
If you are talking about standard VMs then you can use a pre-built images on VMDepot for that.
If you are talking about web or worker roles (PaaS) I wouldn't recommend it, but if you really want to you could. You would need to fully script the install of the solution on the host. The only downside (and it's a big one) you would have would be the that the host will be moved to a new host at some point which would mean your MySQL data files would be lost - if you backed up frequently and were happy to lose some data then this option may work for you.
I think, that the main question is "what You want to achieve?". As I see, You want to use PaaS solution with Web Apps or Cloud Service and You need a MySQL database. If Yes, You have two options (both technically as David Makogon said). First one is to deploy Your own (one) server with MySQL and connect to it from the outside (internet side). Second solution is to create one MySQL server or cluster and connect Your application internally in Azure virtual network. WIth Cloud Service it is simple but with Web App it is not. You must create VPN gateway in Azure VM and connect Your Web App to this gateway. In this way You will have internal connection wfrom Your application to Your own MySQL cluster.
I have a publicly accessed database on RDS that works like a charm from Netbeans. I would like to deploy my Java application on AWS. What is the simplest way to do this? I will only use the application for some very basic tasks, getting used to cloud computing working on a small scale. Is EC2 my best bet and is it possible to upload apps as easily as with the Google App Engine plugin. Can I use the same jdbc driver as I use locally, and can I use JPA against the database? I would rather not use Eclipse for now as I am in a bit of a hurry and need to get this working as soon as possible.
This is a lot of questions for one question, but I'll see if I can help you out.
1. Simplest Way to deploy to AWS
If this application is as simple as you say it is, the most cost effective solution while you're getting used to AWS will be to deploy to a micro instance and take advantage of the free tier. From Amazon:
AWS Free Tier includes 750 hours of Linux and Windows Micro Instances each month for one year. To stay within the Free Tier, use only EC2 Micro instances.
The simplest way to deploy directly from Netbeans is to use the integrated Elastic Beanstalk support. This saves you from having to configure things yourself.
Another option is to launch a Ubuntu AMI and install Tomcat. Create a WAR file from your application and place it where Tomcat can find it. I suggest using the first method.
2. Is EC2 my best bet?
This is a little open ended. For a nice learning experience as you get accustomed to AWS, the free tier for EC2 is a nice platform to learn with. If your application needs to eventually scale, using EBS is a pretty simple way to manage an application. My answer is an opinion because "best bet" depends solely on the requirements of your application, but I say yes.
3. Is it possible to upload apps as easily as with the Google App Engine plugin?
For simple applications I think so. I think it's even easier if you switch to Eclipse and use the toolkit for AWS. Whether Google App Engine or AWS is easier for you will once again depend on personal preference, the application, and your requirements.
4. Can I use the same JDBC driver as I use locally?
If you're using MySQL Connector/J then yes. Read this to understand how it works with RDS.
5. Can I use JPA against the database?
Yes. You'll change the endpoint from localhost to the endpoint of your RDS instance.
6. I would rather not use Eclipse for now...
Another personal preference, but the AWS toolkit for Eclipse is very easy to use and can speed the process up a bit.