The common wisdom with database performance management is that a “cold” database server has poor performance. Then, as it “warms up”, performance improves until finally you reach a completely warmed up state with peak database performance. In other words, that to get peak performance from MySQL you need to wait for database warm up.

This thinking comes from the point of view of database cache warmup. Indeed from the cache standpoint, you start with an empty cache and over time the cache is filled with data. Moreover the longer the database runs, the more statistics about data access patterns it has, and the better it can manage database cache contents.

Over recent years with the rise of SSDs, cache warmup has become less of an issue. High Performance NVMe Storage can do more than 1GB/sec read, meaning you can warm up a 100GB database cache in less than 2 minutes. Also, SSD IO latency tends to be quite good so you’re not …

PMM (Percona Monitoring and Management) is a free and open-source platform for managing and monitoring MySQL and MongoDB performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL and MongoDB servers to ensure that your data works as efficiently as possible.

In release 1.12, we invested our efforts in the following areas:

• Visual Explain in Query Analytics – Gain insight into MySQL’s query optimizer for your queries
• New Dashboard – InnoDB Compression Metrics – Evaluate effectiveness of InnoDB Compression
• New Dashboard – MySQL Command/Handler Compare – Contrast MySQL instances side by side
• Updated …

Kubernetes, and its most popular distribution OpenShift, receives a lot of interest as a container orchestration platform. However, databases remain a foreign entity, primarily because of their stateful nature, since container orchestration systems prefer stateless applications. That said, there has been good progress in support for StatefulSet applications and persistent storage, to the extent that it might be already comfortable to have a production database instance running in Kubernetes. With this in mind, we’ve been looking at running Percona XtraDB Cluster in Kubernetes/OpenShift.

While there are already many examples on the Internet of how to start a single MySQL instance in Kubernetes, for serious usage we need to provide:

• High Availability: how can we guarantee availability …

Including setting up Percona XtraDB Cluster with ProxySQL and PMM

Please join Percona’s Architect, Tibi Köröcz as he presents Percona XtraDB Cluster 5.7 Tutorial Part 2 on Wednesday, June 20th, 2018, at 7:00 am PDT (UTC-7) / 10:00 am EDT (UTC-4).

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Never used Percona XtraDB Cluster before? This is the webinar for you! In this 45-minute webinar, we will introduce you to a fully functional Percona XtraDB Cluster.

This webinar will show you how to install Percona XtraDB Cluster with ProxySQL, and …

It’s very easy to install Percona Monitoring and Management (PMM) on DigitalOcean. If you’ve never used DigitalOcean before, you will find that it is user-friendly and not very expensive. For $5/month you can easily host your PMM on it, letting you monitor your simple infrastructure or try out PMM before implementing it to monitor your production environments.

Let’s prepare the DigitalOcean instance

Log in to DigitalOcean (DO) control panel and click “Create Droplet.”

Thanks to DO you can skip the boring OS setup and save time by using the Docker “One click app” in DO and the Docker image from PMM.

Note: After clicking on “Docker…” choose an instance size that accommodates your budget – PMM can run on as little as the 1GB 1vCPU instance!

Note: Scroll again!

Next step – select a nearby region …

In this blog post, I will show you how easy it is to set up a Percona Monitoring and Management server on Google Compute Engine from the command line.

First off you will need to have a Google account and install the Cloud SDK tool. You need to create a GCP (Google Cloud Platform) project and enable billing to proceed. This blog assumes you are able to authenticate and SSH into instances from the command line.

Here are the steps to install PMM server in Google Cloud Platform.

1) Create the Compute engine instance with the following command. The example creates an Ubuntu Xenial 16.04 LTS compute instance in the us-west1-b zone with a 100GB persistent disk. For production systems it would be best to use a 500GB disk instead (size=500GB). This should be …

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.

In PMM Release 1.11.0, we deliver the following changes:

• Configurable MySQL Slow Log Rotation – enable or disable rotation, and specify how many files to keep on disk
• Predictable Graphs – we’ve updated our formulas to use aggregation functions over time for more reliable graphs
• MySQL Exporter Parsing of my.cnf – we’ve improved how we read my.cnf
• Annotation improvements – passing …

In this blog post, I will show you how to use Percona Monitoring and Management (PMM) to capture per-process metrics in five minutes or less.

While Percona Monitoring and Management (PMM) captures a lot of host metrics, it currently falls short providing per-process information, such as which particular process uses a lot of CPU resources, causes Disk IO or consumes a lot of memory.

In our database performance optimization and troubleshooting practice, this information has proven quite useful in many cases: batch jobs taking much more resources than developers would estimate and misconfigured Percona XtraBackup or Percona Toolkit are among the most common offenders.

Per-process metrics information can also be very helpful when troubleshooting database software memory leaks or memory fragmentation.

You …

In this blog, I will show you how to install PMM on Linode as a low-cost database monitoring solution.

Many of my friends use Linode to run their personal sites, as well as small projects. While Linode is no match for Big Cloud providers in features, it is really wonderful when it comes to cost and simplicity: a Linode “nanode” instance offers 1GB of memory, 1 core, 20GB of storage and 1TB of traffic for just $5 a month.

A single Linode instance is powerful enough to use with Percona Monitoring and Management (PMM) to monitor several systems, so I use Linode a lot when I want to demonstrate PMM deployment through Docker, rather than …

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.

We focused mainly on two features in 1.10.0, but there are also several notable improvements worth highlighting:

• Annotations – Record and display Application Events as Annotations using pmm-admin annotate
• Grafana 5.0 – Improved visualization effects
• Switching between Dashboards – Restored functionality to preserve host when switching dashboards
• New Percona XtraDB Cluster Overview graphs …