Design A Highly Available MySQL Clusters With Orchestrator And ProxySQL In GCP — Part 1

Recently we have migrated one of our customer's infra to GCP and post the migration we published some adventures on ProxySQL which we implemented for them.

1. Reduce MySQL Memory Utilization With ProxySQL Multiplexing
2. How max_prepared_stmt_count can bring down production

Now, we are going to implement an HA solution with customer filter for failover. We have done a PoC and the blog is about this PoC configurations. And again the whole setup has been implemented in GCP. You can follow the same steps for AWS …

I've updated the bug tide graph I made in 2016 with today's data. The source code and details are here.

In this Checklist for Success series, we will discuss reducing unknowns when hosting in the cloud using and migrating to Amazon Aurora. These tips might also apply to other database as a service (DBaaS) offerings.

In our previous article, we discussed the importance of continuous query performance analysis, especially in Amazon Aurora where there is less diagnostic visibility compared to running on EC2 or on-premise. Aside from uptime though, we need a lot more from our data, and we definitely cannot isolate it in Aurora.

Next on our checklist is that at one point or another, we will need to use asynchronous replication. Amazon Aurora has an excellent reputation for absorbing intense amounts of …

Has you may already know, in MySQL it is possible to set an expiration period for passwords.

It’s not always obvious to see when the password will expire. And most of the time if you don’t pay much attention you will get something like this:

ERROR 1820 (HY000): You must reset your password using
ALTER USER statement before executing this statement.

Let me share you a small query that check for how long your password is still valid in case it was created with an expiration delay or if the global default_password_lifetime is set on …

Let’s talk about MySQL high availability (HA) and synchronous replication once more.

It’s part of a longer series on some high availability reference architecture solutions over geographically distributed areas.

Part 1: Reference Architecture(s) for High Availability Solutions in Geographic Distributed Scenarios: Why Should I Care?

Part 2: MySQL High Availability On-Premises: A Geographically Distributed Scenario

The Problem

A question I often get from customers is: How do I achieve high availability in case if I need to spread my data in different, distant locations? …

MySQL High Availability. Shutterstock.com

In this article, we’ll look at an example of an on-premises, geographically distributed MySQL high availability solution. It’s part of a longer series on some high availability reference architecture solutions over geographically distributed areas.

Part 1: Reference Architecture(s) for High Availability Solutions in Geographic Distributed Scenarios: Why Should I Care?

Percona consulting’s main aim is to identify simple solutions to complex problems. We try to focus on identifying the right tool, a more efficient solution, and what can be done to make …

High Availability Solutions. Shutterstock.com

In this series of blog posts, I’m going to look at some high availability reference architecture solutions over geographically distributed areas.

The Problem

Nowadays, when businesses plan a new service or application, it is very common for them to worry about ensuring a very high level of availability. 

It doesn’t matter if we are talking about an online shop, online banking or the internal services of a large organization. We know users are going to expect access to services 24x7x365. They also expect to access data consistently and instantaneously. If we fail to meet their expectations, then they move to another provider and we lose money. Simple as that.

The other important aspect of providing online …

Thanks to everyone who participated in this week’s webinar on ‘Backup Management with ClusterControl’. The replay is now available to watch online as well as the slide deck.

If you feel frustrated by traditional, labour-intensive backup and archive practices for your MySQL, MariaDB, MongoDB and PostgreSQL databases … then this session is for you!

What if you could have one backup management solution for all your business data? What if you could ensure integrity of all your backups? And what if you could leverage the competitive pricing and almost limitless capacity of cloud-based backup while meeting cost, manageability, and compliance requirements …

MySQL Shell 8.0.13 (GA) introduced a new feature to allow you to easily import JSON documents to MySQL. The basics of this new feature were described in a previous blog post. In this blog we we will provide more details about this feature, focusing on a practical use case of interest for to many: How to import JSON data from MongoDB to MySQL.…

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If you have an application that need to use multiple connections to the MySQL database for short periods of times, it can be a good to use a connection pool to avoid creating a new connection and going through the whole authentication process every time a connection is needed. For the Python Database API (PEP249), MySQL Connector/Python has had support for connection pools for a long time. With the release of MySQL 8.0.13, the new X DevAPI also has support for connection pools.

This blog will first cover the background of the X DevAPI connection pool feature in MySQL Connector/Python. Then …