I have created a Google Compute Engine instance with CentOS and added some stuff there, such as Apache, Webmin, ActiveCollab, Gitolite etc.. etc.
The problem is that the VM is always running out of memory because the RAM is too low.
How do I change the assigned RAM in Google Compute Engine?
Should I have to copy the VM to another with bigger RAM? If so will it copy all the contents from my CentOS installation?
Can anyone give me some advises on how to get more RAM without having to reinstall everything.
Thanks
The recommended approach for manually managed instances is to boot from a Persistent root Disk. When your instance has been booted from Persistent Disk, you can delete the instance and immediately create a new instance from the same disk with a larger machine type. This is similar to shutting down a physical machine, installing faster processors and more RAM, and starting it back up again. This doesn't work with scratch disks because they come and go with the instance.
Using Persistent Disks also enables snapshots, which allow you to take a point-in-time snapshot of the exact state of the disk and create new disks from it. You can use them as backups. Snapshots are also global resources, so you can use them to create Persistent Disks in any zone. This makes it easy to migrate your instance between zones (to prepare for a maintenance window in your current zone, for example).
Never store state on scratch disks. If the instance stops for any reason, you've lost that data. For manually configured instances, boot them from a Persistent Disk. For application data, store it on Persistent Disk, or consider using a managed service for state, like Google Cloud SQL or Google Cloud Datastore.
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I'm running an web application in google compute engine and have scheduled a snapshot for the VM [Ubuntu 16.04].
I tried restoring the VM from the last available snapshot. I'm able to bring up the web application from the restored VM. But the problem is there are no any data in the database [mongodb]. All the collections created by application and default data [data seeded during deployment] are present in the mongodb in restored VM, but other than that, there is no data.
Is this how Google snapshots work? Isn't the new restored VM supposed to have all the data till the time of snapshot creation?
Creating snapshot while all the apps are running may not prove 100% accurate because some data are in buffers / caches etc.
Your missing data might have been not yet written to the disk when the snapshot was being created.
Google documentation about creating snapshots is quite clear about it:
You can create a snapshot of a persistent disk even while your apps
write data to the disk. However, you can improve snapshot consistency
if you flush the disk buffers and sync your file system before you
create a snapshot.
Pause apps or operating system processes that write data to that
persistent disk. Then flush the disk buffers before you create the
snapshot.
Try following instructions and test the results.
If for some reason you can't completely stop the database try to just flush the buffer to the disk, freeze the file system (if possible) and then create a snapshot.
You can freeze file system by logging into the instance and typing sudo fsfreeze -f [example-disk_location] and unfreeze sudo fsfreeze -u [example-disk_location].
The perfect way (with guaranteed data integrity) is to either stop the VM or unmount the disk.
The hard drive on my VM filled up (it was under a SSH login attack I believe) and now the VM won't boot.
How can I access the boot hard drive so I can clear out space and get it booting again?
You'll need to delete the instance without deleting the boot disk, attach the disk on a temporary instance and then mount it there. The instructions to do this can found here: https://cloud.google.com/compute/docs/troubleshooting#ssherrors (Mount your disk on a temporary instance)
You'll then be able to access the disk through the /mnt/myinstance directory, and delete the files. Once the disk is no longer full, you can detach the disk from the temporary instance, and then use it to recreate your original instance.
I launched an Amazon EC2 with Amazon Linux and Amazon-EBS as root volume. I also started tomcat7 and mysql 5.5 on this EBS volume.
Later I decided to change from Amazon Linux to Ubuntu. To do that I need to launch another Amazon EC2 instance with a new EBS root volume. Now I want to copy tomcat7 and mysql from older EBS volume to new one. I have tables and data in mysql which I don't want to loose and an application running on tomcat. How to go about it?
A couple of thoughts and suggestions.
First, if you are going to be having any kind of significant load on your database, running it on EBS-backed volume is probably not a great idea as EBS-backed storage is incredibly slow relative to the machine's local/ephemeral storage (/mnt). Now obviously you don't want DB data on ephemeral storage, so there is really nothing you can do about it if you want to run MySQL on EC2. So my suggestion would be to utilize an RDS instance for your DB if your infrastructure requirements allow for it.
Second, if this is a production application, you are undoubtedly going to have some down time as you make this transition. The question is whether you need to absolutely minimize the amount of downtime. If so, then you need to have an idea as to the size of your database. Is it going to take a long time to dump/load? If not, you could probably just get your new instance up and running, and tested on an older copy of your database and then just dump and load the current database at the time of cutover.
If it is a large database then perhaps you can turn on MySQL binary logging. Then make a dump of the database at a known binary log position. Then install this dump on your new instance. Then when ready to cutover, you can replay the binary logs on the new instance to bring it current. Similarly, you could just set up the DB on the new instance as a replica until the cutover, at which point you make it the master.
You may even consider just using rsync to sync the physical database files if you don't want to mess with binary logging, though this can be a problematic approach if you are not that familiar with dealing with the actual physical database files.
As far as your application goes, that should be much simpler to migrate assuming it is just a collection of files. I would not copy the Tomcat7 installation itself, but rather just install Tomcat on Ubuntu and then adjust the configuration to match current.
As far as the cutover itself goes, this should be pretty straightforward and would vary in approach depending on whether you are using an elastic IP for your server or whether it is behind a load balancer,
I've been playing with AWS EC2 and really like it. There is one drawback though, the instance could disappear due to hardware failure or whatever reason. This happened to me in my first week of operation. I was wondering whether there are good solutions to backup a MySQL database so that I don't lose my customer credentials?
You can transfer mysql database directly from EC2 machine to S3bucket but you will consume more cost for bandwidth and storage. You go for a third party application (which is safe) to backup your mysql or any plugins. Because they compress your data & encrypt and then save in S3 storage. Also, you can enable snap shot and take snap shots for volumes (hard drives)
I suggest you to use 'StoreGrid' backup software to backup your mysql database in EC2 machine. check this following link to know more about Online Backup Service on Amazon EC2/S3 http://storegrid.vembu.com/online-backup/amazon-ec2-s3-cloud-online-backup.php
Check this following link to configure MySQL database BACKUP http://storegrid.vembu.com/online-backup/mysql-backup.php?ct=1
Note: You have mentioned Hardware failure occurs often ! --- you can backup entire hard drives too using the above software.
I hope, now your MySQL data base is backed up from EC2 instance and stored in S3 storage safely.
Cheers !
Amazon now offers Relational Database Storage, that is, pre-configured EC2 instances, without any OS access to host MySQL (or Oracle, or T-SQL for real) for you, but aim to solve much of the availability, reliability and durability issues one faces when trying to host transactional data store yourself on a bare EC2 instance.
http://aws.amazon.com/rds/
"automated backups, DB snapshots, automatic host replacement, and Multi-AZ deployments"
I'm trying to understand how to architect an Amazon Web Services application.
I have an instance running off of EBS. As far as I understand, I need to mount the EBS drive so that I can store my MySQL database on it.
When I later want to scale up, how do I do so? I understand that I can add more server instances, but how will they be accessing the database? Since from what I understand, the EBS volume can only be attached to one server instance.
I can't speak to this particular setup as I do not have experience using EBS with a MySQL instance but how this type of scaling is typically accomplished is by dedicating a particular instance as the master database server. Any time you spin up additional web servers those are still using the master DB IP to connect. At the time in which your database is the bottleneck you then spin up a slave DB instance on one of the boxes (or its own dedicated box). You can then configure replication in either a master to slave direction or a circular replication so that you can write to the slave instance as well.
If you choose the classic master to slave replication then you will have to make sure your writes are only performed on the master DB instance.
You can setup something like Zeus or any other connection load balancer so that you only ever have to connect to a single Database IP which will then round-robin route your read connections to your pool of servers. Otherwise you'd have to manage the connections yourself which is definitely not trivial. Good luck.
Growing Amazon EBS Volume sizes
You can give a try to MySQL clustering on your EBS backed instances. I have similar query, with more requirements, posted here.
EBS Volumes capacity can be scaled up using Snapshot->launch new volume technique, alternatively storage capacity can be scaled out using EBS Striping (RAID 0).
In AWS you cannot mount same EBS Volume to 2 EC2 instances simultaneously, so when you are scaling your application you need to scale out / up your MySQL DB either thru Replication or clustering. AWS RDS is a very good option for MySQL , if your application is read intensive then you can scale out using RDS Read replica's as well. If you need write scaling then functional partition or MySQL Shards can be explored.
AWS has an entire product dedicated to this: RDS.
In all but the rarest and most specialized of circumstances you're going to be better off using RDS than trying to create and tune your own EBS/EC2/MySQL infrastructure.
RDS also directly answers your question - they directly enable the creation of readonly databases to use as query slaves. RDS also performs backups, upgrades, and all sorts of fail-over infrastructure for you.
With EBS there's no way to attach a disk to multiple EC2 instances, so you're not going to be able to build out a failure cluster using that approach. Instead you're going to need replication or backup tools of some type.