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Migrating to Amazon Aurora: Design for Flexibility

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.

Previous blogs in the migrating to Amazon Aurora series:

The whole premise of a database as a service offering is that you do not need to worry about the operating the …

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Design A Highly Available MySQL Clusters With Orchestrator And ProxySQL In GCP — Part 2

Design A Highly Available MySQL Clusters With Orchestrator And ProxySQL In GCP — Part 2

In part1, we explained how we are going to approach the HA setup. Here we can see how to install and configure Orchestrator and ProxySQL, then do the failover testing.

Install and configure MySQL Replication:

We need a MySQL with 4 Read replica and the 4'th replica will have a replica for it. And we must have to use GTID replication. Because once the master failover done, the remaining replicas will start replicating from the new master. Without GTID its not possible, but as an alternate Orchestrator provides Pseudo-GTID.

VM Details: …

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

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 …

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Visualizing the MySQL Bug Tide (2018 edition)

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

Migrating to Amazon Aurora: Optimize for Binary Log Replication

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 …

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MySQL: when will the password of my users expire ?

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 …

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How Not to do MySQL High Availability: Geographic Node Distribution with Galera-Based Replication Misuse

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? …

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MySQL High Availability On-Premises: A Geographically Distributed Scenario

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 …

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

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 …

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Webinar Replay: Backup Management for MySQL, MariaDB, PostgreSQL & MongoDB with ClusterControl

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 …

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