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Effective Coding With Java Observability

DZone

However, the most critical and fundamental of these organizational stumbles is the irresistible infatuation with technology and toolings themselves. Ask yourself: how often do you find yourself taking your eyes off the code in the IDE to find out what you can learn from its execution data? It should not come as a surprise.

Code 237
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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Deep-code execution details. Dynatrace news. Always-on profiling in transaction context.

Java 264
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Find vulnerabilities in your code—don’t wait for someone to exploit them

Dynatrace

All-new Dynatrace code-level vulnerability detection All-new Dynatrace code-level vulnerability detection evaluates all requests passing through your applications to identify vulnerabilities. The deep insights into application code provided by OneAgent® help track potentially vulnerable data flow within an application.

Code 264
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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

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment. Extensions 2.0

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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.

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Fighting Fragility With Property-Based Testing

DZone

Property-based testing (PBT) is such an established technology and it deserves more attention. Java has the Jqwik library, Scala has ScalaCheck and Python has Hypothesis. Check the links at the end for some good tutorials.

Testing 346
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Fully automatic code level monitoring and extended version support for AIX

Dynatrace

Fully automatic deep code monitoring module injection. One of the unique strengths of Dynatrace OneAgent is the fully automated injection of the deep code monitoring module on Windows and Linux. Fully automated deep code monitoring module injection is available for all customers as of OneAgent version 1.175.

Code 174