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Performance alerts configuration with dbWatch

Posted by Chad Pabalan on Mar 18, 2020 2:02:16 AM
In an enterprise with multiple systems across various departments, database administrators find not only multiple database platforms such as Oracle and SQL Server, MySQL, PostgreSQL but also different versions of each platform. DBA's usually manage tens to hundreds up to thousands of database instances of different platforms and versions within the company.

 

Each database platform and sometimes each version come with their own set of tools, it is a waste of time switching through multiple applications just to monitor and manage hundreds of database instances.

 

dbWatch is the perfect solution to monitor and track all your instances for you. The dbWatch alert module is powerful and flexible, so you can configure precisely how you receive alerts, what alerts you receive, who receives them and at what time of the day or week. In this way you can create alert rules to match work schedules with different alert schemes for office hours, nighttime and weekends.

See the example below.

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Topics: database monitoring, sqlmonitor, sqlperformance, sqlserver, sqlmonitoring

Analyzing SQL Server Indexes with dbWatch

Posted by Chad Pabalan on Jan 16, 2020 3:50:26 AM
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Topics: database monitoring, sqlmonitor, sqlperformance, sqlmonitoring, indexmaintenance

Does managing database server farms differ from database instances?

Posted by Andreas Hope on Nov 11, 2019 2:30:00 PM

We all experience how the number of database instances keep growing (especially SQL Servers) in the last few years.

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Topics: database monitoring, sqlmonitoring, databaseoperations

dbWatch Powertools: Database Monitoring

Posted by Rebecca Harrisson (Guest) on Sep 11, 2019 1:39:37 PM

The secret to monitoring data is about finding the perfect balance. Too much data and you’re drowning, not enough and an ailing instance may slip under your radar. The perfect mix will track your instance’s vital signs, putting your finger on the databases’ pulse. With these vital signs, you can quickly find out if the database is healthy, while being able to track and understand any irregularities.

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Topics: database monitoring, sqlmonitoring, productivity