Hosting your database with a cloud provider, such as Microsoft Azure, still requires you to prepare and define your disaster recovery policy. In this blog, we will cover all of the backup and restore methods Azure offers for MySQL.

SQL databases are the most vulnerable to external injection attacks, but they are also possible in NoSQL DBMs such as MongoDB. In most cases, external injections happen as a result of an unsafe concatenation of strings when creating queries. In this blog we’ll show you how to stay safe.

This is the second part of a two-part series. Here we look into designing a geo-distributed MySQL Galera Cluster and explain how it can be easily deployed using ClusterControl

What is the best way to create a geo-distributed cluster? Can Galera Cluster be used for such scenario? What are the cons of Galera compared to regular MySQL replication? This blog attempts to answer those questions.

Backups are a basic start to a disaster recovery plan. In this blog, we will take a look at one of the most famous cloud providers, Google Cloud Platform (GCP) and how to use it to store your PostgreSQL backups in the cloud.

This blog shows you how to upload MongoDB backup with compression and encryption to AWS, Azure, GCP using different methods. It also covers a discussion on the hybrid backup approach to retain your backup files longer with the known cloud providers.

This blog shows you how to setup PostgreSQL streaming replication using included open source tools which come included with your Debian or Ubuntu setup.

MySQL Galera Cluster 4.0 is the new kid on the database block with very interesting new features. Currently it is available only as a part of MariaDB 10.4 but in the future it will work as well with MySQL 5.6, 5.7 and 8.0. In this blog post we would like to go over some of the new features that came along with Galera Cluster 4.0.

ClusterControl as a proactive monitoring tool also comes with a troubleshooting toolset to help users troubleshoot and fix the database issues as they happen. This blog post looks into each of the troubleshooting tools in greater details.

Cloud Providers provide great options when it comes to failover, but they may not be right for every application. In this blog post we will spend a bit of time analysing the pros and cons of using the DBaaS solutions compared with designing an environment manually or by using a database management platform, like ClusterControl.

Designing a large system that is fault-tolerant, highly-available, with no Single-Point-Of-Failure (SPOF) requires proper testing to determine how it would react when things go wrong. In this blog we will explore the failover and failback operations of Amazon RDS using Aurora.

In this blog post, we will analyze different failure scenarios in MongoDB production database systems, ranging from single-server issues to datacenter failover plans. We will walk you through recovery and failover procedures for the respective scenario.

After experiencing some major issues with a MongoDB project our Guest Writer shares ten tips that a DBA or Developer should know before they start building a production-ready MongoDB setup.