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What is cloud application security?

Dynatrace

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 172
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From syslog to AWS Firehose: Dynatrace log management innovations that enhance observability

Dynatrace

Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Cloud 181
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Kubernetes in the wild report 2023

Dynatrace

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

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Expanded cloud-region coverage for Dynatrace Synthetic Monitoring

Dynatrace

Synthetic Monitoring data is also utilized by Dynatrace AI-driven alerting and root cause analysis, which connects the dots between front-end and back-end monitoring and synthetic monitoring results. Dynatrace Synthetic leverages locations from the largest cloud providers. New Google Cloud Platform locations.

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. So we built one: The Dynatrace Cloud Automation control plane. Cloud Automation use cases.

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Maximized cloud-region coverage with Dynatrace Synthetic Monitoring

Dynatrace

Synthetic Monitoring data is also utilized by Dynatrace AI-driven alerting and root cause analysis, which connects the dots between front-end and back-end monitoring and synthetic monitoring results. Dynatrace Synthetic leverages locations from the largest cloud providers. New Google Cloud Platform locations.