I'm trying to set up a Staging VM for a site that's in production that I have just inherited. The site is running Wordpress/Woocommerce and has not been updated in a while. The VM it's hosted on is running an old version of PHP. Obviously, this all needs to be fixed up but I'm unfamiliar with GCP Compute Engine. Also any attempt to run backup/clone plugins crashes the site and requires a restore from the daily snapshot which is very annoying.
Is it possible to clone the VM/disk to a new instance, point that at a temporary domain, and test/update the site? I have been trying to do this for a while now without much luck any suggestions would be much appreciated. Thanks.
Creating a clone of an existing VM is possible and quite easy.
Create a snapshot of the VM. If possible stop the VM before doing this to ensure 100% accuracy - this way you will have exact snapshot of the drive without any errors. You can do it while the VM is running too if stopping it is out of the question.
Create a VM from the shapshot - select as a boot disk a snapshot that you've just created. Remember to assign a static public IP to this VM (unless you want it changed after VM restart and since you're going to do some configuration this would likely happen). You can change the VM's specs at this time too - nothing stops you from adding/removing CPU's, RAM etc. It may well be that your VM is underutilised and you can use something smaller to save costs. Or the opposite.
Start the machine. Now you can modify your WP configuration to point to a new domain. Depending on the SSL certificate - you can either use external one or the one provided by GCP (most convinient solution).
If you already own a domain you want to use for staging you can host it in Cloud DNS or at some other provider - just point it to the external IP you just reserved.
If you will be hosting your domain in the Cloud DNS then you will find necessary infomration in the documentation about managed zones (domains).
You can also consider creating a new VM and setting it as a template for creating a group of VM's (managed autoscaled group) and creating an external HTTPS load balancer in front of it. But this adds a little to the complexity so it's just my idea if you needed to handle a lot more traffic.
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My project is currently hosted by an independent cloud provider.
I am using 2 Virtual Machines, with Linux:
one hosts a Go application
one hosts a MySql database
I would now like to move to the Google Cloud Platform.
Do you think does it make sense to move to Google Cointainer Engine (GKE), rather than to the Google Compute Engine (which would have the same virtual machine model (IaaS) I am using with the current provider)?
I have never used Kubernetes and Docker. How easy would it be to make the migration? Am I going to complicate my life uselessly?
How difficult is the configuration for my simple model?
I have never used Kubernetes and Docker.
Moving to a platform that you have no experience with doesn't sound like a great idea. Instead, why not start by doing some tutorials about Docker and then Kubernetes?
After that, you might try Minikube (https://kubernetes.io/docs/getting-started-guides/minikube/) locally to start writing some manifests for the components (which sound like maybe a DaemonSet or single Pod with PersistentVolume for MySQL and a Deployment for the Go application).
Once you have the pieces working locally, then it would probably make more sense to think about migrating. You would have a much better understanding of what you are getting into and if it is something you would want to undertake.
I have a compute engine instance on google cloud which is running fine. user base is increasing and I wish to upgrade to a bigger compute engine in terms of cpu and memory.
What is the most easy way to do such migration?
What is the snapshot, image, persistent disk features in google compute engine? Are they anyway useful to my task?
I figured it out. Lennert answer is good. I will add few more things to complete it. You can always stop a VM, edit the CPU/memory and restart the VM. But this action may change the external IP address and cause lot of issues. You can handle it but it may cause further downtime. You may have to update the new IP address at DNS and inside the code. One way to avoid this hassle is that you should Reserve a static IP adreess [in console, go to NETWORKING > EXTERNAL IP ADDRESS > RESERVE A STATIC IP ADDRESS]. If you do this, your ip address will not change once you restart the VM.
Image is aka Operating System. While creating a VM, you are asked to choose a boot disk, disk which is used to boot your VM from. You can select from pre-defined images.
Snapshot is the copy of the disk. If it is a boot disk, it contains the operating system image too. We can create a snapshot of an existing disk and use it as the boot disk while creating new VM.
Persistent Disk is the disk that can persists even if you delete the VM [provided you have deselect the option of deleting it while deleting the VM]. We can delete VM and use a persistent disk to create new ones. We can simply pay for persistent disk only, without having any VM.
The easiest way is to stop the machine, change the machine type from the console and start the machine again. No need to create backups (snapshots), new VM's, etc.
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'm new to GCE and want to migrate my web site there. I created a VM instance group hoping. I installed all the packages and set it up a couple days ago. But today I noticed my VM instance group has a different name (postfix, to be exact), and the disk is flushed empty. Is it possible to restore its status, or at least make sure it won't get wiped out again? I'm so surprised that GCE wiped out everything and I wonder if I'm missing something during setup.
A few details in case they are related:
I'm using a trusty image for the VM.
The cloud storage is chosen to be a regular persistent disk.
It was working with emphemeral IP, and yesterday I started to use Cloud DNS to host my domain. I should have used a static IP, but that mistake shouldn't cause the VM instance group to be flushed...
I'm using cloud sql as the database service.
Maybe I should just use VM instance, given I don't have much traffic now?
Any help will be greatly appreciated~
We have a Java EE application (EAR file deployed on JBoss, MySQL, MongoDB) which we would like to deploy on an Amazon EC2 instance. I have several questions regarding deployment best practices.
What is the most commonly used Linux AMI which we can rely on for a robust deployment (There are so many Linux variants, and I am not sure which AMI is commonly used, is it Fedora, CentOS, Red Hat, SUSE ...)
How do we handle production upgrades (EAR file modifications or schema upgrades). Are there any tools which are available to handle this installation or rollback of these changes.
What kind of data backup capability is available for the database?
Should I rely on Amazon RDS for MySQL support?
How should I handle support for MongoDB?
This is the first time, I am hosting an web-app and would appreciate some inputs on how to manage the production instance.
I agree with Mark Robinson's answer: Use whichever Unix variant you're most comfortable with. It may pay to pick one with decent cloud support. For my site I use Ubuntu.
I have a common image which is the base of every version deploy I do. I have www.mysite.com pointing to an Elastic IP so I can decide which instance it goes to. The common image has all the software I need installed (Postgres/Postgis/Tomcat/etc) but the database and web server data folders and symlinked to Elastic Block Store (EBS) instances.
When it comes time to do a deploy I start a new instance up, freeze and snapshot the EBS volumes on production and make new volumes. I point my new instance at the new volumes and then install whatever I need to onto that. Once I've smoke tested everything successfully I can switch the Elastic IP to point to the new instance and everything keeps on going.
I'll note that I currently have the advantage where only I can modify the database; no users can. This will become a problem shortly.
If you use the XFS filesystem on top of the EBS volume then you can tell XFS to freeze the file system (so no updates happen) then call the EC2 api to snapshot the volume then unfreeze the file system. The result is that the snapshot is taken quickly and sent to S3. I have a nightly script which does this.
If RDS looks like it will suit your needs then use it. Amazon is building lots of solid tools quickly and this will ease your scalability issues if you have any.
I'm sorry, I have no idea.
Good question!
1) I would recommend going with whatever Linux variant you are most comfortable with. If you have someone who is really keen on CentOS, go with that. Once you have selected your AMI, take it and customize it by configuring how you want it. Then save that AMI as you base-layout. It will make rolling out new machines much easier and save your bacon if EC2 goes down.
2) Upgrades with EC2 can be tres cool. Instead of upgrading a live system, take your pre-configured AMI, update that and save that AMI as myAMI-1.1 (or whatever). That way, you can flip over to the new system almost instantly AND roll back to a previous version in case something breaks. You can also back-up DB instances to S3. It's cheap at about $0.10/GB/Month.
3) It depends where you are storing your DB. If you are storing it on your EC2 instance you are in trouble. The EC2 instances have no persistence storage. So if your machine crashes, you lose everything. I'm not familiar with Amazon DB system but you should also look into Elastic Block Store. It's basically an actual hard-drive you can write to. When you want to upgrade your schema, do a full DB dump to S3 and then do an upgrade of your actual schema. If something goes wrong, you can pull the previous version out of S3.
4) & 5) I have never used those so I can't help you.
What is the most commonly used Linux AMI which we can rely on for a robust deployment (There are so many Linux variants, and I am not sure which AMI is commonly used, is it Fedora, CentOS, Red Hat, SUSE ...)
How do we handle production upgrades (EAR file modifications or schema upgrades). Are there any tools which are available to handle this installation or rollback of these changes.
What kind of data backup capability is available for the database?
Should I rely on Amazon RDS for MySQL support?
How should I handle support for MongoDB?
Any Linux AMI will do the job, what you need is a JRE only. (assuming development work not required). If you need to monitor the JVM behavior then get JConsole installed.
Easiest and painless way is to SSH into the local home directory, transfer the updated class file/EAR file (depends the number of changes applied) and copy and replace into the Tomcat deployment directory, restart apache. (make sure you tested locally before upload to production).
Depends on which database you are using, if you are using MySQL then just do scheduled backup that writes to your home directory so that from time to time you could SSH in and download a copy for backup purpose.
I would not consider reply on Amazon RDS for MySQL support due to 2 reasons: MySQL is small enough and manageable, and also I would want to have total complete control of the database and why pay for more when you can do it yourself FOC?
The usage of MongoDB should be align with the purpose of your application and benefits you gain from that. I would recommend you use MongoDB for static data retrieval like state, country, area etc... where MySQL to be use for transaction data only.
If you can live with deploying your Java EE application on TomEE instead of JBoss, Boxfuse does what you want.
For you Java EE application you literally only have to execute (TomEE uses war files instead of ear files):
boxfuse run my-tomee-app-1.0.war -env=prod
This will
Create AMI containing TomEE and your application ready to boot
Create an Elastic IP or ELB
Create a security group with the correct ports defined
Create an auto-scaling group
Launch your instance(s)
Any subsequent update will be done as a zero downtime blue/green deployment.
More info: https://boxfuse.com/blog/javaee-aws