Severalnines Blog
The automation and management blog for open source databases

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327 blog posts in 13 categories

Updated: Become a ClusterControl DBA: Safeguarding your Data

So now that you have your databases up and running and highly available, how do you ensure that you have backups of your data? You can use backups for multiple things: disaster recovery, to provide production data to test against development or even to provision a slave node. This last case is already covered by ClusterControl. When you add a new (replica) node to your replication setup, ClusterControl will make a backup/snapshot of the master node and use it to build the replica. 

My MySQL Database is Corrupted... What Do I Do Now?

Performing regular database backups is imperative for any production system. Usually when MySQL data gets corrupted, the recommendation is to restore it from the last backup, switch to DR server or take down the affected node down, if you have a cluster, to serve data immediately from other nodes. In some cases you can't - if the backup is not there, the cluster was never set up, your replication is down for a very long time, or the DR procedure was never tested.

Deploying Cloud Databases with ClusterControl 1.6

ClusterControl 1.6 comes with tighter integration with AWS, Azure and Google Cloud, so it is now possible to launch new instances and deploy MySQL, MariaDB, MongoDB and PostgreSQL directly from the ClusterControl user interface. This blog post shows you how.

How to Overcome Accidental Data Deletion in MySQL & MariaDB

Someone accidently deleted part of the database, or forgot to include a WHERE clause in a DELETE query, or dropped the wrong table. Things like that may and will happen, it is inevitable and human. But the impact can be disastrous. What can you do to guard yourself against such situations, and how can you recover your data?

Cloud Database Features Comparison - Amazon RDS vs Google Cloud SQL

As more companies run their workloads in the cloud, cloud database services are increasingly being used manage data. Database services from the leading vendors share many similarities, but they have their own characteristics that may make them well-, or ill-suited to your workload. In this article, we are going to compare the database services from two of the leading cloud vendors - Google Cloud SQL and Amazon RDS for MySQL.

Watch the Webinar Replay: How to Measure Database Availability

Watch Part 2 of our database high availability webinar special. In this session we focus on how to measure database availability. It is notoriously hard to measure and report on, although it is an important KPI in any SLA between you and your customers. We discuss the different factors that affect database availability and see how one can measure database availability in a realistic way.

How to do Point-in-Time Recovery of MySQL & MariaDB Data using ClusterControl

Point-in-Time recovery of MySQL & MariaDB involves restoring the database from backups prior to the target time, then uses incremental backups and the binlog to roll the database forward to the target time. This blog provides an overview of this new ClusterControl feature.

Announcing ClusterControl 1.6 - automation and management of open source databases in the cloud

You can now deploy MySQL, MariaDB, MongoDB and PostgreSQL clusters in the cloud. ClusterControl now supports deployments of your databases on AWS, Azure and Google Cloud. This blog provides an overview of the new features in the ClusterControl 1.6 release.

How to Make Your MySQL or MariaDB Database Highly Available on AWS and Google Cloud

Cloud environments are popular these days, and they come with a variety of tools to increase availability. In this blog post, we will show you how leverage these to build a highly available MySQL or MariaDB database. This blog post makes use of Amazon Web Services and Google Cloud Platform.

Capacity Planning for MySQL and MariaDB - Dimensioning Storage Size

How much storage should we allocate to the database depends on how fast the database is expected to grow. It sounds like a simple question to answer, but there are a number of factors to consider before we can come up with an accurate answer. This blog post gives you some tips on how to plan and dimension storage size for your MySQL and MariaDB servers in production.