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What is infrastructure as code? Discover the basics, benefits, and best practices

Dynatrace

“As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. .” What is infrastructure as code? What challenges does IAC solve?

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Dynatrace extends AI-powered observability for SAP together with PowerConnect

Dynatrace

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP HANA server infrastructure monitored with OneAgent.

Java 178
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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Java, Go, and Node.js Kubernetes infrastructure models differ between cloud and on-premises.

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Dynatrace strengthens container security across popular cloud-based registries

Dynatrace

Cloud-native CI/CD pipelines and build processes often expose Kubernetes to attack vectors via internet-sourced container images. This is particularly vital for securing observability solutions like Dynatrace® Kubernetes infrastructure observability, application observability, and Application Security.

Cloud 201
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.

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The top eight DevSecOps trends in 2022

Dynatrace

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 175