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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. Extensions can monitor virtually any type of technology in your environment. and focusing on a much-improved version 2.0 Extensions 2.0

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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

In my last blog I covered how our Engineering Productivity (EP) and Infrastructure & Services (IAS) Teams are ensuring that our DevOps tool chain is running as expected, even while workloads have shifted as our global engineering teams are now working from home. But let’s start from the beginning: Step #1 – Switching to Java 11.

Java 253
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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Therefore, we’re happy to announce support for OpenTracing data that’s emitted by auto- and custom-instrumentation of Java source code with Dynatrace PurePath 4, our distributed tracing and code-level analysis technology. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

Java 230
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production. Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. However, Python models are trickier.

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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. With that, Software engineers, SREs, and DevOps can define a broad automation and remediation mapping. Are you a managed customer?

DevOps 282
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. Now our environment where we’ll be deploying our application under test is now automatically monitored by Dynatrace! This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

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Dynatrace strengthens container security across popular cloud-based registries

Dynatrace

The Dynatrace Operator is responsible for the secure lifecycle of components necessary for Kubernetes cluster monitoring. Signed and immutable container images are available for the entire Dynatrace observability stack. Note the inclusion of a pull secret, required for protected private registries.

Cloud 208