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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. Standby Server Tests.

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Managing PostgreSQL® High Availability – Part I: PostgreSQL Automatic Failover

Scalegrid

Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. Effective management of failover and switchover operations is crucial for high availability.

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Dynatrace extends Synthetic Monitoring capabilities with Network Availability Monitors to validate the availability of infrastructure and services

Dynatrace

As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. into NAM test definitions. Our script, available on GitHub , provides details.

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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
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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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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Use Cases and Requirements At Netflix, our counting use cases include tracking millions of user interactions, monitoring how often specific features or experiences are shown to users, and counting multiple facets of data during A/B test experiments , among others. With this approach, the counts continually converge to their latest value.

Latency 247
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PyMongo Tutorial: Testing MongoDB Failover in Your Python App

Scalegrid

When deploying in production, it’s highly recommended to setup in a MongoDB replica set configuration so your data is geographically distributed for high availability. We often undertake testing of failover characteristics of various MongoDB drivers to qualify them for production use cases, or when our customers ask us for advice.

Testing 55