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Displaying posts with tag: monitoring (reset)
See You on the Road at 2018's Shows and Events!

Calling all developers, DBAs, engineers, SREs, and database aficionados: we’re hitting the road and hope to see you along the way. It's always a highlight of our year when we get to meet up with our users and friends face-to-face, and we'll be attending events across the country (and abroad!) for the rest of 2018. If you see our booth, come say hello. 


Image Credit

Below is a list of the places you'll be able to find us over the next nine months, plus descriptions of how we'll be involved at each event (and, in some cases, special ticket discount codes).

Event Start End Location
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Amazon Aurora MySQL Monitoring with Percona Monitoring and Management (PMM)

In this blog post, we’ll review additional Amazon Aurora MySQL monitoring capabilities we’ve added in Percona Monitoring and Management (PMM) 1.7.0. You can see them in action in the MySQL Amazon Aurora Metrics dashboard.

Amazon Aurora MySQL Transaction Commits

This graph looks at the number of commits the Amazon Aurora engine performed, as well as the average commit latency. As you can see from this graph, latency does not always correlate with the number of commits performed and can be quite high in certain situations.

Amazon Aurora MySQL …

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Announcing Experimental Percona Monitoring and Management (PMM) Functionality via Percona Labs

In this blog post, we’ll introduce how you can look at some experimental Percona Monitoring and Management (PMM) features using Percona Labs builds on GitHub.

Note: PerconaLabs and Percona-QA are open source GitHub repositories for unofficial scripts and tools created by Percona staff. While not covered by Percona support or services agreements, these handy utilities can help you save time and effort.

Percona software builds located in the PerconaLabs and Percona-QA repositories are not officially released software, and also aren’t covered by Percona support or services agreements. 

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and …

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Percona Monitoring Plugins 1.1.8 Release Is Now Available

Percona announces the release of Percona Monitoring Plugins 1.1.8.

Changelog

  • Add MySQL 5.7 support
  • Changed a canary check to use timestamp.now() and return a timedelta.seconds
  • Remove an additional condition for the Dictionary memory allocated
  • Fixed a false-positive problem when the calculated delay was less than 0 and the -m was not set.
  • Fixed the problem where slaves would alert due to deadlocks on the master.
  • If using pt-heartbeat, get_slave_status was only called when the -s option is set to …
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More P_S Instrumentation for Group Replication

In order to improve observability and manageability of MySQL Group Replication (GR), we enhanced its instrumentation in MySQL 8.0.4. With these goals in mind, we have extended the usage of Performance Schema (P_S) from this plugin to the included Group Communication System (GCS) module as well as its submodule eXtended Communications (XCom) which are responsible for all communication involved in the dissemination of transactions to other MySQL instances.…

Webinar Wednesday, January 24, 2018: Differences between MariaDB and MySQL

Join Percona’s Chief Evangelist, Colin Charles as he presents Differences Between MariaDB and MySQL on Wednesday, January 24, 2018, at 7:00 am PST (UTC -8) / 10:00 am EST (UTC -5).

Register Now

Tags: MariaDB, MySQL, Percona Server for MySQL, DBA, SysAdmin, DevOps
Experience Level: Novice

MariaDB and MySQL. Are they syntactically similar? Where do these two query languages differ? Why would I use one over the other?

MariaDB is on the path of gradually diverging from MySQL. One obvious example is the internal data …

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Webinar January 18, 2018: MySQL Troubleshooting and Performance Optimization with Percona Monitoring and Management (PMM) Part 2

Join Percona’s Product Manager Michael Coburn as he presents MySQL Troubleshooting and Performance Optimization with Percona Monitoring and Management (PMM) Part 2 on Thursday, January 18, 2018, at 11:00 am PST / 2:00 pm EST (UTC-8).

Register Now

Tags: Percona Monitoring and Management, PMM, Monitoring, MySQL, Performance, Optimization, DBA, SysAdmin, DevOps
Experience Level: Expert

Optimizing MySQL performance and troubleshooting MySQL problems are two of the most critical and challenging tasks for …

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Measuring the potential overhead of PMM Client on MySQL workloads

Having good historial metrics monitoring in place is critical for properly operating, maintaining and troubleshooting database systems, and Percona Monitoring and Management is one of the options we recommend to our clients for this.

One common concern among potential users is how using this may impact their database’s performance. As I could not find any conclusive information about this, I set out to do some basic tests and this post shows my results.

To begin, let me describe my setup. I used the following Google Cloud instances:

  • One 4 vCPU instance for the MySQL server
  • One 2 vCPU instance for the sysbench client
  • One 1 vCPU instance for the PMM server

I used Percona Server 5.7 and PMM 1.5.3 installed via Docker. Slow query log was enabled with long_query_time set to 0 …

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Top 10 things to know about Alibaba Cloud RDS

Cloud-based Relational Database Services (RDS) offer businesses a variety of traditional Relational Database Management Systems (RDBMS) with several management and configuration options. In the Top 10 Things to Know about Amazon RDS blog, we covered Amazon RDS. In today’s article, we’ll be presenting Alibaba Cloud RDS. If you’ve been considering moving some or all of your database infrastructure to Alibaba Cloud RDS, or any Cloud RDS for that matter, there are many things to consider. Here are the top 10 things you need to know before taking the plunge.

About Alibaba Cloud RDS

Alibaba Cloud RDS, whose full name is Alibaba Cloud ApsaraDB for RDS, is an on-demand database service that handles some of the administrative tasks associated with managing a database, thus leaving you with more time to focus on your core business. …

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Monitoring MySQL Backups With Datadog and TwinDB Backup Tool

Monitoring MySQL backups is a vital part of any reliable backup solution. By monitoring the most common disaster recovery metrics, the Recovery Time Objective and the Recovery Point Objective, you can find out if a backup job was successful and produced a usable backup copy. The TwinDB Backup Tool along with Datadog allows monitoring both […]

The post Monitoring MySQL Backups With Datadog and TwinDB Backup Tool appeared first on TwinDB.

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