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Displaying posts with tag: metrics (reset)
Percona Monitoring and Management 1.4.1 Is Now Available

Percona announces the release of Percona Monitoring and Management 1.4.1 on Thursday, November 2nd, 2017. This release contains fixes to bugs found after Percona Monitoring and Management 1.4.0 was released. It also introduces two important improvements. We replaced the btrfs file system with XFS in AMI and OVF images, and the Prometheus dashboard has been enhanced to offer more information.

For install and upgrade instructions, see Deploying Percona Monitoring and Management.

Improvements

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MySQL Dashboard Improvements in Percona Monitoring and Management 1.4.0

In this blog post, I’ll walk through some of the improvements to the Percona Monitoring and Management (PMM) MySQL dashboard in release 1.4.0.

As the part of Percona Monitoring and Management development, we’re constantly looking for better ways to visualize information and help you to spot and resolve problems faster. We’ve made some updates to the MySQL dashboard in the 1.4.0 release. You can see those improvements in action in our Percona Monitoring and Management Demo Site: check out the MySQL Overview and …

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Percona Monitoring and Management 1.4.0 Is Now Available

Percona announces the release of Percona Monitoring and Management 1.4.0.

This release introduces the support of external Prometheus exporters so that you can create dashboards in the Metrics monitor even for the monitoring services other than those provided with PMM client packages. To attach an existing external Prometheus exporter, run pmm-admin add external:metrics NAME_OF_EXPORTER URL:PORT.

The list of attached monitoring services is now available not only in the tabular format but also as a JSON file to enable automatic verification of your configuration. To view the list of monitoring services in the JSON format run pmm-admin list --json.

In this release, Prometheus and Grafana have been upgraded. Prometheus

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Percona Monitoring and Management 1.3.2 Is Now Available

Percona announces the release of Percona Monitoring and Management 1.3.2. This release only contains bug fixes related to usability.

For install and upgrade instructions, see Deploying Percona Monitoring and Management.

Bug fixes

  • PMM-1529: When the user selected “Today”, “This week”, “This month” or “This year” range in Metrics Monitor and clicked the Query Analytics button, the QAN page opened reporting no data for the selected range even if the data were available.
  • PMM-1528: In some cases, the …
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Webinar Wednesday, October 11, 2017: Percona Monitoring and Management (PMM) Demonstration

Join Percona’s Product Manager Michael Coburn as he presents a Percona Monitoring and Management (PMM) Demonstration on Wednesday, October 11, 2017, at 10:00 am PDT / 1:00 pm EDT (UTC-7).

Register Now

How can you optimize database performance if you can’t see what’s happening? Percona Monitoring and Management (PMM) is a free, open source database troubleshooting and performance optimization platform for MySQL and MongoDB. PMM uses Metrics Monitor (Grafana + Prometheus) for visualization of data points. It also has Query Analytics (QAN), to help …

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Graph Descriptions for Metrics Monitor in Percona Monitoring and Management 1.3.0

The Metrics Monitor of Percona Monitoring and Management 1.3.0 (PMM) provides graph descriptions to display more information about the monitored data without cluttering the interface.

Percona Monitoring and Management 1.3.0 is a free and open-source platform for managing and monitoring MySQL®, MariaDB® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL, MariaDB® and MongoDB servers to ensure that your data works as efficiently as possible.

Each dashboard graph in PMM contains a lot of information. Sometimes, it is not easy to understand what the plotted line represents. The metric labels and the plotted data are limited and have to account for the space they can use in dashboards. It is …

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MyRocks Metrics Now in PMM 1.3.0

One of the most exciting features shipped in the Percona Monitoring and Management 1.3.0 (PMM) release is support for MyRocks metrics via a new Metrics Monitor dashboard titled MySQL MyRocks Metrics. The support in PMM follows the recent Percona Server for MySQL release 5.7.19 from September 6, where Percona delivered an EXPERIMENTAL version of MyRocks for non-Production usage.

The MyRocks storage engine from Facebook is based on RocksDB, a persistent key-value store for fast storage environments. MyRocks is optimized for fast storage and combines outstanding space and write efficiency with acceptable read performance. As a result, …

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Big Dataset: All Reddit Comments – Analyzing with ClickHouse

In this blog, I’ll use ClickHouse and Tabix to look at a new very large dataset for research.

It is hard to come across interesting datasets, especially a big one (and by big I mean one billion rows or more). Before, I’ve used on-time airline performance available from BUREAU OF TRANSPORTATION STATISTICS. Another recent example is NYC Taxi and Uber Trips data, with over one billion records.

However, today I wanted to mention an interesting dataset I found recently that has been available since 2015. This is Reddit’s comments and submissions dataset, made possible thanks to Reddit’s generous API. The …

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Percona Monitoring and Management 1.3.1 Is Now Available

Percona announces the release of Percona Monitoring and Management 1.3.1. This release only contains bug fixes related to usability.

For install and upgrade instructions, see Deploying Percona Monitoring and Management.

Bug fixes

  • PMM-1271: In QAN, when the user selected a database host with no queries, the query monitor could still show metrics.
  • PMM-1512: When clicking …
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sysbench Histograms: A Helpful Feature Often Overlooked

In this blog post, I will demonstrate how to run and use sysbench histograms.

One of the features of sysbench that I often I see overlooked (and rarely used) is its ability to produce detailed query response time histograms in addition to computing percentile numbers. Looking at histograms together with throughput or latency over time provides many additional insights into query performance.

Here is how you get detailed sysbench histograms and performance over time:

sysbench --rand-type=uniform --report-interval=1 --percentile=99 --time=300 --histogram --mysql-password=sbtest oltp_point_select --table_size=400000000 run

There are a few command line options to consider:

  • report-interval=1 – prints out the current performance measurements every second, which helps see if …
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