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Introducing The New PMM 2! Michael Coburn Percona Michael Coburn Product Manager for PMM (and Percona Toolkit) At Percona for six years across multiple MySQL roles Principal Architect, Managing Consultant, Technical Account


  1. Introducing The New PMM 2! Michael Coburn Percona

  2. Michael Coburn ● Product Manager for PMM (and Percona Toolkit) ● At Percona for six years across multiple MySQL roles ○ Principal Architect, Managing Consultant, Technical Account Manager 2

  3. PMM 1 Where it all began

  4. What is PMM? ● A free, Open Source database troubleshooting and performance optimization platform for MySQL, MongoDB, and PostgreSQL ● Additional technologies supported include ProxySQL, Amazon RDS MySQL and PostgreSQL, and Aurora MySQL and PostgreSQL ● Runs in your secure environment (this is not a SaaS product!) and on your equipment ● Actively developed for 3+ years

  5. PMM Distribution Methods 1. docker ○ docker pull percona/pmm-server:1 2. Virtual Appliance ○ Supports VMware, RedHat Virtualization, Microsoft Systems Center ○ … and VirtualBox! 3. AWS Marketplace ○ Production-ready AMI running in EC2 5

  6. AWS Marketplace ● Deploy directly to EC2 ● Running CentOS 7 Search for "pmm" or "Percona Monitoring and Management" https://aws.amazon.com/marketplace/pp/B077J7FYGX 6

  7. PMM Architecture ● pmm-client (eg. MySQL host) ○ mysqld_exporter - MySQL metrics ○ node_exporter - Linux/OS metrics ○ qan-agent - Query Analytics ● PMM Server ○ Query Analytics ■ QAN API and QAN Application ○ Metrics Monitor ■ Prometheus ■ Grafana 7

  8. Metrics Monitor

  9. Query Analytics 9

  10. MySQL Slow Log - *Percona Server Only 10

  11. EXPLAIN 11

  12. CREATE TABLE, TABLE STATUS, and INDEXES 12

  13. PMM 2 Where we are today

  14. What's New and Exciting? ● Query Analytics ○ Support for large environments ○ Filtering using query metadata and labels ○ Sorting and additional columns ○ Support for PostgreSQL ● pmm-agent ● Standard and Custom labels ● Inventory Overview ● Multiple scraping intervals

  15. Support for Large Environments ● MySQL out - ClickHouse in ● Columnar datastore, wicked fast ● Tested up to 1,000 nodes against one PMM Server

  16. Standard and Custom Labels ● Labels, when set, will appear in Query Analytics and can be used to filter ● Standard label examples ○ environment ○ replication_set ○ cluster ○ region ○ node_model (auto-detected) ● Custom labels are any arbitrary key-value pair pmm-admin add … --environment=production --cluster=MyCluster7 \ --custom-labels="dataCentre=downtown,rack=T3B"

  17. Filtering ● Standard and Custom labels can be used as filter conditions ● Additional filters include: ○ Client Host ○ Schema ○ Client Username ○ Database Server

  18. Sorting ● Sort by any column

  19. Add Additional Columns ● Add more columns based on query metadata ● Examples: ○ Rows Examined ○ Temporary Tables ○ Filesort

  20. pmm-agent ● Master daemon on your clients ● Runs as root by default ● Launches exporters and Query Analytics agents

  21. Inventory Overview ● View lists of Services, Agents, and Nodes configured

  22. Multiple Collection Intervals ● Collecting metrics aggressively provides the highest level of visibility of events, but at highest storage space cost + disk I/O ● Challenge is to collect highly variable data frequently, or expensive to collect less frequently ● 1s, 5s, 60s are default collection intervals (High, Medium, Low) ● Examples: ○ High - Threads_running ○ Medium - MySQL Information Schema Thread States ○ Low - MySQL Version

  23. Thank You to Our Sponsors

  24. Rate My Session 24

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