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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. JMX monitoring extensions are currently being migrated. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions 2.0 Extensions 2.0

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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 209
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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 242
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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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Fully automatic code level monitoring and extended version support for AIX

Dynatrace

In our continuous effort to enhance Dynatrace on all fronts, here are a couple of important improvements to AIX monitoring that we’re introducing with OneAgent version 1.175. Fully automatic deep code monitoring module injection. is still present in many of the environments monitored by Dynatrace.

Code 129
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy. As the collected data seamlessly integrates with your Dynatrace environment, you can analyze LLM metrics, spans, and logs in the context of all traces and code-level information.

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Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Dynatrace

Dynatrace OneAgent ® discovers, observes, and protects access to OpenAI automatically, with no manual configuration, revealing the full context of used technologies, service interaction topology, security-vulnerability analysis, and the observability of all metrics, traces, logs, and business events in real time.