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

Dynatrace

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Healthcare. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” ” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. What is OpenShift? Ease of use.

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Log4Shell highlights need for secure digital transformation with observability, vulnerability management

Dynatrace

In the ensuing hours and days, Log4Shell became a showstopper for many organizations, requiring them to take devices and applications offline to prevent malicious attackers from gaining access to networks and sensitive data. Avisi presides over a complex and highly changeable cloud environment for itself and its customers.

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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data. At-scale computing and visual analysis.

AWS 90
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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

You may already be using it daily and find it makes running applications in the cloud much more manageable. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. It has become the industry standard for cloud-native container orchestration.

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Applying real-world AIOps use cases to your operations

Dynatrace

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective. AIOps use cases. How AI helps human operators.

DevOps 189
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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.