I have created and I have been managing a Postgresql RDS instance using Terraform.
Assuming I perform a terraform destroy, will this also delete the associated RDS snapshots that have been taken via the RDS schedule?
Terraform added the option to keep the automated backups for an RDS with the delete_automated_backups flag. Just set this to false.
When destroying an RDS database you have the option to either create a long lived final snapshot or retain the automated backups which will be deleted as per the schedule they were set for:
Instead of creating a snapshot, you can choose to enable Retain automated backups when you delete a DB instance. These backups are still subject to the retention period of the DB instance and age out the same way systems snapshots do.
Terraform supports keeping a final snapshot by setting the final_snapshot_identifier and making sure that skip_final_snapshot is not set to true.
Unfortunately, Terraform doesn't currently support retaining the automated backups taken from scheduled snapshots but there is an open feature request with a couple of half finished pull requests linked to it.
Related
I am having an AWS RDS Aurora PostgreSQL cluster with four instances with a Multi-AZ deployment serving in Production. Encryption-at-rest hasn't been enabled on this cluster. Now I have to enable the encryption on this existing cluster. AWS docs suggest me to create a snapshot of that cluster and then restore the cluster again with the encryption enabled this time. Ref: Here
Since my cluster is serving in production and no downtime or I/O suspension is acceptable to me. Here are some questions that I would like to get answered before I plan about encrypting the existing cluster:
Is there any downtime during the creation of the snapshot assuming there is a lot of data and a snapshot will take time.
What about the new data that is being written on to the database during the snapshot creation? Is the snapshot creation real-time or I will lose my new data during the time till the snapshot is being taken?
Is this the only way for me to enable encryption on the production cluster knowing that it will result in some database outage?
There is a way to encrypt your AWS RDS Amazon Aurora with PostgreSQL compatibility Cluster with no or minimum downtime, but it will take a bit of effort.
You need to take the following steps:
For the source DB, you have to take snapshot.
Then copy that snapshot, and check Enable Encryption and select Default Encryption Key or select your Custom AWS KMS CMK, now you have an encrypted copy of your DB snapshot.
Restore this encrypted snapshot to the new DB instance, and you can enable Multi-AZ and add Read Replicas now or modify them after migration.
Now you have two DB instances Encrypted and Unencrypted, but the data mismatched as it is a production database.
We will use AWS DMS to make synchronous replication of data, or ou can use PostgreSQL logical replication with Aurora instead of AWS DMS, it will be better, both will works.
Go to AWS DMS console, create an AWS DMS task.
For migration type, choose Migrate existing data and replicate ongoing changes.
For target table preparation mode, choose Truncate.
Under Advanced Task Settings, enable the awsdms_status table if you want to verify replication status.
Run the migration task and wait until all the records are updated. AWS DMS will then determine the size of the data to migrate.
Then, you need to verify the data in the Encrypted DB instance after migration is the same as the Unencrypted DB instance.
Check replication status in AWS DMS, by checking the migration task and awsdms_status.
You can now route traffic to the new endpoint.
For a smooth cutover, use Amazon Route 53 to route traffic by changing the DNS TTL to a short value, and eventually replacing the endpoint names in Route 53.
Now replying to your questions,
Is there any downtime during the creation of the snapshot assuming there is a lot of data and a snapshot will take time.
According to you cluster setup, you are running a Multi-AZ deployment, automated backups and DB Snapshots are simply taken from the standby to avoid I/O suspension on the primary. Please note that you may experience increased I/O latency (typically lasting a few minutes) during backups for both Single-AZ and Multi-AZ deployments.
What about the new data that is being written on to the database during the snapshot creation? Is the snapshot creation real-time or I
will lose my new data during the time till the snapshot is being
taken?
You will lose your data written after the snapshot has been taken, so you will use AWS DMS to replicate synchronous data to your encrypted DB instances.
Is this the only way for me to enable encryption on the production cluster knowing that it will result in some database outage?
Yes this is the only way, but it will result in no or little downtime.
well I have couple of questions. I have a aurora cluster with a single MySQL RDS instance which has 450GB of data. we use this cluster only when we are doing some specific testing.so I want to delete this cluster but keep its data available to me so I can make a new cluster whenever we need any testing to be done.
there are couple of ways this can be done as far as I know
take a snapshot of the cluster and restore the cluster from the
snapshot whenever required.
backup the cluster to s3 and restore the
cluster from s3 when required
which way is more faster and which one is more cost efficient?
can an entire cluster be restored from s3 if so what are the steps involved ? , I found the aws documentation bit too messy.
If we stop a aurora cluster, it again automatically restarts within 7 days , is there a way to prevent this automatic restart and keep it stopped when it is not required and start when required ?
I'm familiar with the differences between "Automated Backups" and Snapshots. I'm trying to backup using both of them, but from the Modify-section of DB I find only Backup and Backtrack, and to my understanding, the backups from the Backup-section ( https://i.imgur.com/LwdMy8T.png ) should be going under "Automated Backups", right? But they're going under Automated Snapshots.
How do I create Automated Backup instead of snapshot?
E. I'm Using Amazon Aurora, I suppose that makes it a little different than other RDS!
Automated backups are always enabled on Amazon Aurora DB Instances.
Firstly to understand the difference between a snapshot & an automated backup:
Amazon RDS creates and saves automated backups of your DB instance. Amazon RDS creates a storage volume snapshot of your DB instance, backing up the entire DB instance and not just individual databases.
Both of which are automatically active when you create an RDS unless you specify otherwise while creating the RDS instance:
Secondly regarding your amazon aurora question, it does the same thing as a normal RDS creating automated backups & snapshots:
Automated backups are always enabled on Amazon Aurora DB Instances. Backups do not impact database performance.
References: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_WorkingWithAutomatedBackups.html
https://aws.amazon.com/rds/aurora/faqs/#Backup_and_Restore
I am working on a project that requires the automated backing up of two RDS instances. What would be the best way to accomplish this?
I was thinking to create a lambda function that backs up all RDS's with a tag 'Backup', similar to what I have going for EC2.
I appreciate any suggestions on how to accomplish this.
Here is a good example of an RDS maintenance Lambda for managing automated RDS backups from Lambda: https://github.com/cevoaustralia/aws-backup-lambda
As stated in the comments, RDS has a daily automated backup built into the service, but if you need a different or more frequent schedule, then you can use Lambda to automate the backups.
That project states:
A utility AWS lambda function to manage EBS and RDS snapshot backups.
The Lambda function takes new backups when executed, and manages the
deletion of the old ones when the upper limit is reached.
Beyond the RDS auto backups, a different/dedicated Lambda to copy snapshots is handy if you want to automate copying those snapshots to a different region for disaster recovery.
Using the above Lambda to schedule your snapshots, this Lambda will periodically copy the most current snapshot to another region, and prune old snapshots in the 'foreign' region. See https://github.com/pbudzon/aws-maintenance.
Also please see this answer on pros/cons of relying on RDS snapshots vs native backup: Should I stick only to AWS RDS Automated Backup or DB Snapshots?
RDS has automated snapshots, but you can copy those snapshots.
This tutorial shows how to automate the copy across regions, but could be easily modified to copy it to the same region.
It includes all the code needed as well as step by step instructions and a video walk through!
https://geektopia.tech/post.php?blogpost=Automating_The_Cross_Region_Copy_Of_RDS_Snapshots
RDS has automated backup out-of-the-box but this expire in 35 days so you can copy theses automated backups and its become manually without expire date. I wrote a article talking about this and I publish a project on github too
https://medium.com/#krisnamourt.filho/aws-rds-backup-strategy-f0cd1e0ac10f
https://github.com/krismorte/lambda-rds-snapshot
this is the example to copy rds snapshots
var cluster = await rdsFunc.describeClusters();
cluster.forEach(async (cluster)=>{
var snaps = await rdsFunc.describeClustersAutomatedSnapshot(cluster.DBClusterIdentifier)
if(snaps){
snaps.forEach(async (snap)=>{
var copyDate = dateFunc.minusDaysFromToday(daysBefore);
var snapshotDate = dateFunc.removeTimeFromDate(snap.SnapshotCreateTime);
if (copyDate == snapshotDate) {
var copy = await rdsFunc.copyClusterSnapshot(snap.DBClusterSnapshotIdentifier)
console.log(copy+" Rds cluster snapshot cloned")
}
})
}
})
I have an RDS automated backup from several hours ago. In there is some data, which I have accidentally removed from the current database. Is it possible to extract data from an old automated backup?
Yes, assuming the data was present at your recovery time.
If you used the automated backup feature, you will be able to restore a DB instance to a specified time -- this process will create a new DB instance that uses the data from your backup. Here's a detailed explaination of what would be happening:
The automated backup feature of Amazon RDS enables point-in-time recovery of your DB Instance. When automated backups are turned on for your DB Instance, Amazon RDS automatically performs a full daily snapshot of your data (during your preferred backup window) and captures transaction logs (as updates to your DB Instance are made). When you initiate a point-in-time recovery, transaction logs are applied to the most appropriate daily backup in order to restore your DB Instance to the specific time you requested.
You haven't told us what type of database engine you're using... but very generally, once the new DB instance is in the available state, you will be able to connect to it and extract any data just as you would on the source DB instance.
You can perform this action from the:
AWS console
CLI (rds-restore-db-instance-to-point-in-time)
API (RestoreDBInstanceToPointInTime).
Note that the security group will be set to the "Default" group by default, so you may need to modify the DB instance after it becomes available if you use any custom security groups to connect.