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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

Dynatrace provides tooling and documentation to help you migrate your Extensions 1.0 Extensions can monitor virtually any type of technology in your environment. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. to the Extension Framework 2.0,

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Discover the power of the Dynatrace platform on Azure with Azure Native Dynatrace Service

Dynatrace

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. The following shows a simple DQL summarizing all Azure Virtual Machine cores in the connected Azure subscriptions.

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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. How does high availability work?

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Everything as Code

Dynatrace

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. And, applying the “Everything as Code” principles can greatly help achieve that. Benefits of Everything as Code.

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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. there cannot be high availability.

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Dynatrace Runtime Vulnerability Analysis now covers the entire application stack

Dynatrace

DevOps teams, SREs (site reliability engineers), platform teams, and SecOps teams aren’t always working from a common source of truth: SAST tools (static application security testing) provide scanning code for vulnerabilities. Runtimes like Java Virtual Machine (JVM) and.NET CLR, or Node.js How to get started.

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Improving JavaScript Bundle Performance With Code-Splitting

Smashing Magazine

Improving JavaScript Bundle Performance With Code-Splitting. Improving JavaScript Bundle Performance With Code-Splitting. It’s a common misconception that the code which is produced by the framework build tools (Webpack, for example) is fully optimized and cannot be improved upon any further. The answer lies in code-splitting.

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