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Causal AI use cases for modern observability that can transform any business

Dynatrace

Healthcare. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes. Financial companies can also discover causal risk factors for loan defaults and simulate the effects of interventions.

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Citrix monitoring with Dynatrace: Easily observe your entire Citrix ecosystem

Dynatrace

Citrix is critical infrastructure For businesses operating in industries with strict regulations, such as healthcare, banking, or government, Citrix virtual apps and virtual desktops are essential for simplified infrastructure management, secure application delivery, and compliance requirements.

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Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. It’s one of our biggest modernization efforts, and it’s saving us money while providing better, quicker, and faster healthcare to our veterans.”

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New analytics capabilities for messaging system-related anomalies

Dynatrace

With other products, we had to make guesses about the impacted services based solely on metrics”. – DevOps Engineer, large healthcare company. All producer and consumer services report metrics for their response time, failure rate, request count, and CPU time per request. This is great! How to get started.

Analytics 187
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5 Reasons You Shouldn’t Attempt To Build Your Own Flow Metrics Tool

Tasktop

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 52
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Kubernetes in the wild report 2023

Dynatrace

In general, metrics collectors and providers are most common, followed by log and tracing projects. These customers are among the world’s largest 15,000 organizations from all major industries, including financial services, retail and e-commerce, technology, transportation, manufacturing, healthcare, and public-sector organizations.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

IT teams can’t see into the internal state of Kubernetes containers , so they often collect a wide variety of telemetry data — such as logs, metrics, and distributed traces — to compensate for this lack of visibility. Its inherent complexity makes observability difficult — especially when used across highly distributed systems.