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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it.

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Bring syslog into Dynatrace using OpenTelemetry to get open source value with enterprise support

Dynatrace

Getting insights into the health and disruptions of your networking or infrastructure is fundamental to enterprise observability. Syslog is a protocol with clear specifications that require a dedicated syslog server. Refer to F5 BIG-IP documentation for detailed and up-to-date instructions regarding remote Syslog configuration.

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Get the insights you need for your F5 BIG-IP LTM

Dynatrace

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Business-critical applications typically rely on F5 for availability and success. It serves as a crucial component between applications and users.

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Reporting at scale leveraging cross-environment dashboards (General Availability)

Dynatrace

We’re happy to announce the General Availability of cross-environment dashboarding capabilities (having released this functionality in an Early Adopter release with Dynatrace version 1.172 back in June 2019). Keep the token secret available for the second and final configuration step. Dynatrace news. What you get with this update.

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Setting Up and Deploying PostgreSQL for High Availability

Percona

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Where a high availability design once worked well, it can no longer keep up with more complex requirements.

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Mastering MongoDB® Timeout Settings

Scalegrid

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. Typical applications are interacting with different database servers based on the business logic. Primarily there are three kinds: Server selection timeout, Connection Timeout, and Socket Timeout.

Java 130
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MongoDB Rollback: How to Minimize Data Loss

Scalegrid

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. This failure in replication could happen due to crashes, network partitions, or other situations where failover occurs.

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