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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Microservices are an increasingly popular way to build software because of their speed and flexibility compared with traditional monolithic approaches. Queued messages are typically small and specific.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Microservices are an increasingly popular way to build software because of their speed and flexibility compared with traditional monolithic approaches. Queued messages are typically small and specific.

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Java Or Scala Performance – Which One Is Better?

Alex Podelko

For years, the debate has raged on regarding which programming language is better, Java or Scala. While some argue that just because Java is older it is better, others believe Scala is better for a variety of reasons. In essence, Java is classified as an object oriented programming language. The Size and Quality of the Code.

Java 100
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

With that, we could make use of the full set of OpenTelemetry’s features to instrument and monitor our applications in the Dynatrace back end, including traces with spans and metrics. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace. And that’s where Dynatrace OneAgent comes in.

Metrics 175
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Dynatrace Application Security boosts BizDevSecOps for Kubernetes

Dynatrace

Organizations are shifting towards cloud-native stacks where existing application security approaches can’t keep up with the speed and variability of modern development processes. Dynatrace entered the Application Security market with automatic and continuous protection for Java workloads. Vulnerabilities in Node.js Next steps.

Java 247
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How a data lakehouse brings data insights to life

Dynatrace

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Further, these resources support countless Kubernetes clusters and Java-based architectures.

Analytics 226
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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?

Code 244