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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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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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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Dynatrace news. This is great!

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

Dynatrace

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. Healthcare. Software development.

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Dynatrace can provide a 274% return on investment over three years

Dynatrace

.” – Director of IT Operations, Healthcare Technology. There are times [when] Dynatrace catches issues before other systems do. It just makes sense that Dynatrace monitors your security for you since it already has all the information. More efficient operations of modern-cloud workloads and infrastructure.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

Container orchestration allows an organization to digitally transform at a rapid clip without getting bogged down by slow, siloed development, difficult scaling, and high costs associated with optimizing application infrastructure. Its inherent complexity makes observability difficult — especially when used across highly distributed systems.

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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

BCLC is a government ministry corporation that provides lottery, casino, and sports betting services to benefit the province’s healthcare, education, and community programs. “We relied on customers (our players) to call us and let us know if something was broken and had scattered monitoring tools,” Mehdiabadi says.