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Percona Server for MongoDB 7 Is Now Available

Percona

This is not a general rule, but as databases are responsible for a core layer of any IT system – data storage and processing — they require reliability. Why choose Percona Server for MongoDB? Why release Percona Server for MongoDB 7 now? which was released as Percona Server for MongoDB RC 7.0.2-1.

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

Dynatrace

Syslog is a protocol with clear specifications that require a dedicated syslog server. Compliance, retention, archiving, or data governance regulations often require multicasting logs from the original source to multiple destinations, like an observability platform with long-term log storage.

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New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). documentation. Prometheus Data Source documentation.

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How to Assess MySQL Performance

HammerDB

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. There are several ways to find out this information with the easiest way being by referring to the documentation. For storage, FIO is generally used.

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What Is PostgreSQL Used For?

Percona

PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. How-to documentation is readily available. It has evolved steadily, however, during 25 years as an open source project.

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Privacy spotlight: Control compliance in Dynatrace with multiple layers of sensitive data masking

Dynatrace

Masking at storage: Data is persistently masked upon ingestion into Dynatrace. Leverage three masking layers Masking at capture and masking at storage operations exclude targeted sensitive data points. Read more about these options in Log Monitoring documentation. See the process-group settings example in the screengrab below.

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Why MySQL Could Be Slow With Large Tables

Percona

You can refer to the documentation for further details. It can help us to save costs on storage and backup times. While MySQL can handle large data sets, it is always recommended to keep only the used data in the databases, as this will make data access more efficient, and also will help to save costs on storage and backups.