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Displaying posts with tag: MySQL on Cloud (reset)
AWS MySQL Security on RDS: Database Level

In the previous blog, we have gone through about network-level security in RDS. In this blog, we will see about the Database level security in RDS.

After network-level restriction to host, we can’t allow a user to connect to the database from anywhere over the internet. We need to restrict user access at the Database level as well. Need to create a user with a restricted host along with a strong password to avoid cracking of password. In RDS we have a special feature named Identity and Access Management (IAM).

We need to monitor the user activity as well in the Database. Because the user may wrongly execute the query in the server which leads to data loss or production outage. The user activity has to be monitored as per the compliances. We can achieve this by enabling the audit log in the RDS.

By …

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Readable MultiAZ Cluster with AWS RDS MySQL under the hood.

Amazon Web Services (AWS) very recently(March 02, 2022) announced the GA of its new RDS feature “Readable standby with Multi-AZ deployments” for MySQL. Yes !! you heard it right you can now use the standby instances created with Multi-AZ deployments for failover as well as for Read-scaling starting with version 8.0.26 and later for MySQL in RDS

Launching a MultiAZ Cluster

Now let us see how to launch this readable-Multi AZ cluster?

Region Availability: As this is a new feature now it is currently limited to the regions US-EAST-1 (N.Virginia), US-WEST-1 (Oregon), and EU-WEST-1 (Ireland), this list would be extended progressively

VPC requirement:

Before launching the instance, you should have SUBNET created for 3 AZ(Availability Zone) within the VPC since the cluster instances would be spawn across 3AZ by default

Hereunder the “Engine Option” …

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Introduction to AWS MySQL Security on RDS : Network

Nowadays everything is getting digitalized and migration toward the cloud is at its peak. There is a high chance of data leaks if we don’t tighten the security of the Database servers. It is mandatory to secure the database by restricting access to Database. Although we have restricted the access. We need to monitor the activity of the user to prevent the unwanted usage of data.

Security will be split into three layers

  1. Network-level security.
  2. OS level security.
  3. Database level security.

OS level security will be handled by the AWS team. Since It is managed by the AWS Team. So all the security patching, minor version upgrades of OS, and kernel tuning will be governed by the AWS infra team.

Network-level security and database-level security are owned by the end user.

Security
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Introduction to MySQL Parallel query in AWS Aurora

Aurora has a salient feature “Parallel query“, Which will be more beneficial for analytical workload environments.

Before going to deep dive on this particular feature, let us understand the basis of Aurora.

Aurora Archiecture

Key feature

  • The key feature of Aurora is simple data synchronisation among the nodes. The sync latency will be too low when compared to RDS because the synchronisation is happening on storage volumes among the nodes. Also all the server will available in different zone, even when a zone goes down we can able to maintain will other server present in other zone with auto failure.
  • Auto healing volume, Each …
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6 Step MySQL Point-In-Time recovery on AWS RDS

Recently one of our customers ran into an issue, wherein a bad actor(code) from the application had made the wrong update to 16 M records of a critical table in the database, causing the entire production process to go down. The application Team was able to find the bad actor and block it, our Remote DBA was involved in the Data Recovery/Rollback.

Here I would like to discuss possible recovery methods for the above said scenario

Delayed Slave:

A simple and effective way to recover is by using a delayed slave, RDS started supporting this feature from version 5.6.40 and 5.7.22 i.e., you can induce a SQL thread delay-interval for applying the writes to a slave, detailed implementation is covered in our blog here. It’s …

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Will IO Size Affect your RDS Performance?​

During our recent consulting with one of our client, We came across an interesting issue on RDS. The baseline is that “Low IO size on your RDS instance can affect your DB performance”.  Yes, It’s IO size, Not IOPS.

We had our production systems running on RDS MySQL with a single master, 3 replicas. All instances are of same type db.m4.4xlarge with same parameter group configuration and the disk size is 1.5 TB. According to the AWS user guide, each of these instances can support up to 4500 (sustained IOPS) guaranteed IOPS.

Find below the Write IOPS graph for all the instances.

It’s understood that Write IOPS / pattern on Master can vary when compared with Slave, due to a lot of factors like binlog row format, log writing etc. But it has to be almost similar for all the slaves given that it …

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ProxySQL Series:​ Amazon Aurora (RDS) Read-Write Split.

In this blog we are going to see how to implement Proxysql for Amazon Aurora RDS, this would be next in series of ProxySQL blogs. Below is the list of our previous blogs on ProxySQL which provides deeper insights based on different use cases and different architecture.

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Migrate MySQL data to RDS/Aurora Using Xtrabackup

In this blog, I will provide a step by step procedure to migrate from on-premise MySQL to Amazon RDS/Aurora using Percona-xtrabackup

Both RDS and Aurora is a DBAAS provided by Amazon. To know more on DBAAS you can view our presentation here.

When you are having a database in size of few GB, it would be very convenient to take a logical backup using a logical backup tool such as Mysqldump or Mydumper and restore it Amazon RDS/Aurora easily. But this is not the case when you are having a data size of a few hundred GB or TB, Where the logical backup and restore is very painful and time-consuming. To overcome this we can use …

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MySQL to Amazon Redshift Replication.

In our work, We used to get a lot of requirements for replicating data from one data source to another. Our team provided solutions to replicate data from MySQL to Vertica, Amazon Redshift, Hadoop. Out of which Amazon Redshift replication is a bit complicated as Amazon Redshift is a Database as a service (DBaaS) and the process is not straightforward.

So, I take this opportunity to guide on how to replicate the specific set of tables from MySQL to AWS Redshift using Tungsten replicator.

1.0. Tungsten Replicator:

Tungsten Replicator is an open source replication engine supports data extract from MySQL, MySQL Variants such as RDS, Percona Server, MariaDB and Oracle and allows the data extracted to be applied on other data sources such as Vertica, Cassandra, …

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Reading Amazon RDS MySQL/Aurora log file from terminal.

Introduction:

At Mydbops we support a good number of clients on AWS cloud (Aurora and RDS).

Amazon Relational Database Service (RDS) is providing the cloud based database service. It is the cost-efficient, resize able & ease to manage. As in any other DBaaS, If you need to analyse the log files (Error log / Slow log), you need to login the console and manually download the files.

Logging into the console seems simple, But this is a bit complex operation when it comes to incorporate that in a day to day operation and automation. In this blog i would like to share my experience in making this into a straightforward process for downloading the log files directly from command line without console GUI.

Prerequisites:

Following tools are to be installed for this operation.

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