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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

that offers security, scalability, and simplicity of use. 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.

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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

Through automated self-monitoring, we observe whether the update succeeded within a certain time window and whether the cluster runs within our defined Service Level Objectives (SLOs). Dynatrace progressive delivery includes automated self-monitoring of every Dynatrace cluster with Dynatrace. What does that mean?

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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Java Memory Management, with its built-in garbage collection, is one of the language’s finest achievements. However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Optimize your code by finding and fixing the root cause of garbage collection problems.

Speed 165
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

Open source code, for example, has generated new threat vectors for attackers to exploit. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon. Security teams need their vulnerability management approach to be seamless.

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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. The documentation mentions that the supported languages to profile are Go, Java (any JVM-based language), Python, Ruby, and NodeJS. In this blog post, we’ll review how to run Linux profilers such as perf and produce flame graphs on Kubernetes environments.

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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting. kubectl apply -f example.yml After applying the Dynakube definition, you must label the namespaces you wish to monitor with the selector we defined.

Google 218
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Dynatrace Application Security boosts BizDevSecOps for Kubernetes

Dynatrace

Dynatrace is redefining Application Security, applying the automation, AI, scalability, and enterprise-grade robustness of its platform to change the way security gets done. In cloud-native application stacks, everything is code. and Java are the most popular languages within Kubernetes environments. Vulnerabilities in Node.js

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