Severalnines Blog
The automation and management blog for open source databases

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Hybrid OLTP/Analytics Database Workloads: Replicating MySQL Data to ClickHouse

Columnar data stores provide much better performance for analytics queries than regular relational databases like MySQL. ClickHouse is an example of such datastore, queries that take minutes to execute in MySQL would take less than a second instead. In this blog post we show how to tackle the challenge of replicating the data from MySQL to ClickHouse.

How to Cluster Odoo 12 with PostgreSQL Streaming Replication for High Availability

Automating all your business processes with Odoo puts stringent requirements on the availability of the platform. What do you do if a server fails? In this blog post, we’ll show you how to cluster Odoo to achieve better availability and scalability on multiple servers. The softwares used are Odoo 12, HAProxy 1.8.8, Keepalived 1.3.9, PostgreSQL 11 and OCFS2 (Oracle Cluster File System).

Monitoring Your Databases with MySQL Enterprise Monitor

Keeping track of the state of your production databases is crucial for performance and availability. There are a number of database monitoring tools on the market, and MySQL Enterprise Monitor is probably one of the older ones. Let’s take a look at what MySQL Enterprise Monitor can do for us.

Real Time Data Streaming with MongoDB Change Streams

MongoDB Change streams allow applications to access real-time data changes without the complexity and risk of tailing the oplog. Applications can use change streams to subscribe to all data changes on a single collection, a database, or an entire deployment, and immediately react to them. This blog provides an overview of this feature.

MySQL Performance Benchmarking: MySQL 5.7 vs MySQL 8.0

MySQL 8.0 features a lot of great improvements, comprehensive support for technologies, and most importantly, its enhanced performance under high read/write workloads. In this blog, we’ll have a look at how MySQL 8.0 performs as compared to its predecessor MySQL 5.7.

Operational Factors to Consider During MongoDB Data Modeling

This blog describes the major factors to consider when performing MongoDB data modeling including scalability, atomicity, performance / data usage, sharding, indexing, storage optimization, document structure, growth, and the data lifecycle.

PostgreSQL High Availability with Master-Slave & Master-Master Architectures

Database servers can work together to allow a second server to take over quickly if the primary server fails (high availability), or to allow several computers to serve the same data (load balancing).

For HA PostgreSQL configurations we can have several architectures, but the basic ones would be master-slave and master-master architectures.

How to Optimize Performance of ClusterControl and Its Components

This blog post explains a number of ways to improve performance of ClusterControl and its components.

Announcing ClusterControl 1.7.1: Support for PostgreSQL 11 and MongoDB 4.0, Enhanced Monitoring

This blog provides an overview of the next iteration of the agent-based monitoring features for MySQL, Galera Cluster, PostgreSQL and ProxySQL in ClusterControl with its 1.7.1 release, support for PostgreSQL 11 and MongoDB 4.0, as well as a whole range of new monitoring and backup management features for PostgreSQL … and more.

MySQL Performance Cheat Sheet

You would be surprised by the number of MySQL installations running default configurations, regardless of the workload. However, what works well for a read-intensive workload might not work as well for a write-intensive one. Configuration parameters also need to take into account the underlying hardware. This cheat sheet provides some quick tips on how to tune some of the key MySQL variables in order to improve performance.