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Monitoring Databases: A Product Comparison

 | March 16, 2017 |  Posted In: Database Monitoring, MariaDB, MySQL, Percona Monitoring and Management, Percona Monitoring Plugins

Monitoring Databases PMM small

In this blog post, I will discuss the solutions for monitoring databases (which includes alerting) I have worked with and recommended in the past to my clients. This survey will mostly focus on MySQL solutions.  One of the most common issues I come across when working with clients is monitoring and alerting. Many times, companies […]

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Percona Live Featured Session with Evan Elias: Automatic MySQL Schema Management with Skeema

 | March 15, 2017 |  Posted In: MySQL

Percona Live

Welcome to another post in the series of Percona Live featured session blogs! In these blogs, we’ll highlight some of the session speakers that will be at this year’s Percona Live conference. We’ll also discuss how these sessions can help you improve your database environment. Make sure to read to the end to get a special Percona Live […]

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Upgrading to Percona Server for MongoDB 3.4 from Previous Versions

 | March 15, 2017 |  Posted In: Insight for DBAs, Insight for Developers, MongoDB


This post is another in the series on the Percona Server for MongoDB 3.4 bundle release. In this blog post, we will walk through upgrading to Percona Server for MongoDB 3.4 from a previous MongoDB version. We will highlight the important details to guarantee the successful completion of this task in your environment. MongoDB 3.4 was just released, and […]

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How to Restore a Single InnoDB Table from a Full Backup After Accidentally Dropping It

 | March 15, 2017 |  Posted In: InnoDB, Insight for DBAs, Percona XtraBackup, Quality Assurance


In this blog post, we’ll look at how to restore a single InnoDB table from a full backup after dropping the table. You can also see an earlier blog post about restoring a single table from a full backup here: How to recover a single InnoDB table from a full backup. The idea behind the actions […]

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Webinar Thursday, March 16, 2017: Moving to Amazon Web Services (AWS)

 | March 13, 2017 |  Posted In: Cloud and MySQL, Cloud and NoSQL, Solutions Engineering, Technical Webinars

Amazon Web Services

Join Percona’s Solutions Engineer Dimitri Vanoverbeke on Thursday, March 16, 2017 at 7:00 a.m. PDT / 10:00 a.m. EDT (UTC-7) for a webinar on Moving to Amazon Web Services (AWS). Register Now This webinar covers the many challenges faced when migrating applications from on-premises into Amazon Web Services (AWS). It will specifically look at moving MySQL to […]

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Percona XtraDB Cluster 5.6.35-26.20 is now available

 | March 13, 2017 |  Posted In: Events and Announcements, High-availability, MySQL, Percona Software, Percona XtraDB Cluster, ProxySQL, XtraDB Cluster

Percona XtraDB Cluster 5.7

Percona announces the release of Percona XtraDB Cluster 5.6.35-26.20 on March 10, 2017. Binaries are available from the downloads section or our software repositories. Percona XtraDB Cluster 5.6.35-26.20 is now the current release, based on the following: Percona Server 5.6.35-80.0 Galera Replication library 3.20 wsrep API version 26 All Percona software is open-source and free. Details […]

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Percona Monitoring and Management (PMM) Graphs Explained: Custom MongoDB Graphs and Metrics

 | March 10, 2017 |  Posted In: MongoDB, Percona Monitoring and Management

Percona Monitoring and Management

This blog post is another in the series on the Percona Server for MongoDB 3.4 bundle release. In this blog post, we will cover how to add custom MongoDB graphs to Percona Monitoring and Management (PMM) and (for the daring Golang developers out there) how to add custom metrics to PMM’s percona/mongodb_exporter metric exporter. To get […]

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Services Monitoring with Probabilistic Fault Detection

 | March 9, 2017 |  Posted In: Database Monitoring, JSON, MongoDB, MySQL

Services Monitoring

In this blog post, we’ll discuss services monitoring using probabilistic fault detection. Let’s admit it, the task of monitoring services is one of the most difficult. It is time-consuming, error-prone and difficult to automate. The usual monitoring approach has been pretty straightforward in the last few years: setup a service like Nagios, or pay money to […]

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