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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Similar to the tutorial extension, we created an extension that performs queries against databases.

Database 263
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Versatile observability for relational databases

Dynatrace

Running Databases efficiently is crucial for business success Monitoring databases is essential in large IT environments to prevent potential issues from becoming major problems that result in data loss or downtime. However, horizontal scaling of these databases can take time and effort.

Database 194
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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 237
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Monitor SQL Server Always On Availability groups using extended events

SQL Shack

In this 33rd article of SQL Server Always On Availability Group series, we will use extended events to monitor the availability group. Introduction Database professionals’ primary role is to do proactive monitoring for ensuring system availability. You can use […].

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Exploring MySQL Binlog Server – Ripple

Scalegrid

MySQL does not limit the number of slaves that you can connect to the master server in a replication topology. A classic solution for this problem is to deploy a binlog server – an intermediate proxy server that sits between the master and its slaves. Ripple is an open source binlog server developed by Pavel Ivanov.

Servers 262
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Managing High Availability in PostgreSQL – Part III: Patroni

Scalegrid

In the final post of this series, we will review the last solution, Patroni by Zalando, and compare all three at the end so you can determine which high availability framework is best for your PostgreSQL hosting deployment. Managing High Availability in PostgreSQL – Part I: PostgreSQL Automatic Failover. Patroni for PostgreSQL.

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Important Health Checks for your MySQL Master-Slave Servers

Scalegrid

In a MySQL master-slave high availability (HA) setup, it is important to continuously monitor the health of the master and slave servers so you can detect potential issues and take corrective actions. MySQL Master Server Health Checks. Important Health Checks for your MySQL Master-Slave Servers Click To Tweet.

Servers 273