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Automation and Management of Open Source Databases in the Cloud – Announcing ClusterControl 1.6
Today we are excited to announce the 1.6 release of ClusterControl – the all-inclusive database management system that lets you easily deploy, monitor, manage and scale highly available open source databases – and load balancers – in any environment: on-premise or in the cloud.
ClusterControl 1.6 introduces a new set of cloud features in BETA status that allow users to deploy and manage their open source database clusters on public clouds such AWS, Google Cloud and Azure. The release also provides a Point In Time Recovery functionality for MySQL/MariaDB systems, as well as new topology views for PostgreSQL Replication clusters, MongoDB ReplicaSets and Sharded clusters.
Release Highlights
Deploy and manage clusters on public Clouds (BETA)
- Supported cloud providers: Amazon Web Services (VPC), Google Cloud, and Azure
- Supported databases: MySQL/MariaDB Galera, Percona XtraDB Cluster, PostgreSQL, MongoDB ReplicaSet
Point In Time Recovery – PITR (MySQL)
- Position and time-based recovery for MySQL based clusters
Enhanced Topology View
- Support added for PostgreSQL Replication clusters; MongoDB ReplicaSets and Sharded clusters
Additional Highlights
- Deploy multiple clusters in parallel and increase deployment speed
- Enhanced Database User Management for MySQL/MariaDB based systems
- Support for MongoDB 3.6
View Release Details and Resources
Release Details
Deploy and manage open source database clusters on public Clouds (BETA)
With this latest release, we continue to add deeper cloud functionality to ClusterControl. Users can now launch cloud instances and deploy database clusters on AWS, Google Cloud and Azure right from their ClusterControl console; and they can now also upload/download backups to Azure cloud storage. Supported cloud providers currently include Amazon Web Services (VPC), Google Cloud, and Azure as well as the following databases: MySQL/MariaDB Galera, PostgreSQL, MongoDB ReplicaSet.
Point In Time Recovery – PITR (MySQL)
Point-in-Time recovery of MySQL & MariaDB involves restoring the database from backups prior to the target time, then uses incremental backups and binary logs to roll the database forward to the target time. Typically, database administrators use backups to recover from different types of cases such as a database upgrade that fails and corrupts the data or storage media failure/corruption. But what happens when an incident occurs at a time in between two backups? This is where binary logs come in: as they store all of the changes, users can also use them to replay traffic. ClusterControl automates that process for you and helps you minimize data loss after an outage.
New Topology View
The ClusterControl Topology View provides a visual representation of your database nodes and load balancers in real time, in a simple and friendly interface without the need to install any additional tools. Distributed databases or clusters typically consist of multiple nodes and node types, and it can be a challenge to understand how these work together. If you also have load balancers in the mix, hosts with multiple IP addresses and more, then the setup can quickly become too complex to visualise. That’s where the new ClusterControl Topology View comes in: it shows all the different nodes that form part of your database cluster (whether database nodes, load balancers or arbitrators), as well as the connections between them in an easy to view visual. With this release, we have added support for PostgreSQL Replication clusters as well as MongoDB ReplicaSets and Sharded clusters.
Enhanced Database User Management for MySQL Based Clusters
One important aspect of being a database administrator is to protect access to the company’s data. We have redesigned our DB User Management for MySQL based clusters with a more modern user interface, which makes it easier to view and manage the database accounts and privileges directly from ClusterControl.
Additional New Functionalities
- Improved cluster deployment speed by utilizing parallel jobs. Deploy multiple clusters in parallel.
- Support to deploy and manage MongoDB cluster on v3.6
Download ClusterControl today!
Happy Clustering!
