Severalnines Blog
The automation and management blog for open source databases

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Watch the Webinar Replay: MySQL & MariaDB Performance Tuning for Dummies

Tuning a database and the underlying OS is one of the key tasks when managing a database. The goal is to avoid overutilization or underutilization of the available resources.

In this webinar replay, we give you a crash course in performance tuning for MySQL & MariaDB databases.

Schema Management Tips for MySQL & MariaDB

Schema changes are not popular among database ops folks. They can be quite cumbersome in MySQL and MariaDB, and there are risks to the data as well as the availability of the database.

This blog describes the different types of schema change operations you can perform on MySQL and MariaDB, and presents some best practices to minimize disruptions to your operations.

ChatOps - Managing MySQL, MongoDB & PostgreSQL from Slack

CCBot helps you monitor and manage your database Infrastructure from Slack. ChatOps is about bringing your DevOps work to your chats and conversations within a team, e.g. Slack. You can deploy database clusters, get status information, trigger backups, add nodes to your cluster or replication setup by talking to a chatbot, which understands ClusterControl commands.

How to Benchmark Performance of MySQL & MariaDB using SysBench

How can you quickly evaluate performance of a database under intensive load? Welcome to sysbench. This blog gives you a good background of sysbench, and how you can use it to benchmark MySQL and MariaDB.

How to Recover Galera Cluster or MySQL Replication from Split Brain Syndrome

Split brain syndrome is a state where a cluster of nodes is partitioned into smaller clusters of equal numbers of nodes, and each cluster believes it is the active cluster. This is a harmful state, as data is changed on a partition, without being replicated to the other. This blog post describes how to prevent a split brain from happening, and what can be done if it does happen.

Cloud Disaster Recovery for MariaDB and MySQL

This blog is a handy survival guide for MySQL & MariaDB (cloud) disaster recovery and how to survive datacenter failures.

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.

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.