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Dynatrace SaaS on Azure now Generally Available

Dynatrace

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels. Dynatrace news.

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Flexible, scalable, self-service Kubernetes native observability now in General Availability

Dynatrace

The application consists of several microservices that are available as pod-backed services. Information about each of these topics will be available in upcoming announcements. Migration instructions are available in Dynatrace Documentation. The following example drives the point home. Monitoring such an application is easy.

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Dynatrace SaaS on Google now generally available

Dynatrace

In October 2021, Dynatrace announced the availability of the Dynatrace Software Intelligence Platform on Google Cloud as a software as a service (SaaS) solution. Today, we are excited to announce this SaaS delivery model is now generally available (GA) to the public through Dynatrace sales channels. Dynatrace news.

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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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Best Practices To Create High Available (HA) Applications in Mule 4

DZone

In this blog, I would like to share a few best practices for creating High Available (HA) Applications in Mule 4 from an infrastructure perspective ONLY ( CloudHub in this article refers to CloudHub 1.0 Most of the configuration details (only relevant to HA) shared here are taken from MuleSoft Documentation/Articles/Blogs.

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Don’t just react: How executives can predict and prevent outages to maximize availability

Dynatrace

The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability. Want to learn more about all nine use cases? See the overview on the homepage.

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: What’s available now and what’s coming later We’ve already started to migrate Dynatrace-developed Extensions 1.0 available, and more are in the pipeline. Extensions 2.0 to the Extension Framework 2.0.