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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

The Hong Kong Monetary Authority (HKMA)’s Operational Resilience Framework provides guidance for Authorized Institutions (AIs) to ensure the continuity of critical operations during disruptions: governance, risk management, business continuity planning, and oversight of third-party dependencies.

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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

This integration simplifies the process of embedding Dynatrace full-stack observability directly into custom Amazon Machine Images (AMIs). This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations.

AWS
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Which IT security solution is right for your organization? CSPM vs. KSPM vs. CNAPP

Dynatrace

CSPM solutions continuously monitor and improve the security posture of Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) environments. However, if you only use minimal cloud services, your cloud environment is static, or you rely on on-premises infrastructure, CSPM may not be worth buying yet.

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Dynatrace on Microsoft Azure achieves PROTECTED status in Australian government IRAP assessment

Dynatrace

The new assessment demonstrates that Australian government agencies and highly regulated enterprises, such as utilities, healthcare, and financial services providers, can deploy Dynatrace on Microsoft Azure. Government agencies are under added pressure, and as they continue to digitally transform, the complexity of their systems increases.

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Extend the Dynatrace platform with CSPM and VSPM

Dynatrace

Audit readiness becomes a proactive, not reactive, process. Heres a quick overview of the setup process: 1. Connect the virtual appliance to your cloud accounts (AWS, Azure, GCP) and VMware infrastructure. Findings are mapped to specific controls, and affected resources can be easily identified.

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Efficiently manage sensitive data and privacy requirements at scale on the Dynatrace platform

Dynatrace

Why sensitive data management is important Whether a bank, government, or airline, observability is no longer optional for any organizations IT systems that must provide high-quality and secure services to its customers and end-users. Sensitive data isnt required for the majority of observability use cases.

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AI’s Future: Not Always Bigger

O'Reilly

I wouldn’t be surprised to find out that DeepSeeks low inference cost was subsidized by the Chinese government. Nothing is more discouraging than the idea that it will take tens of millions of dollars to train a model and billions of dollars to build the infrastructure necessary to operate it. What about computing infrastructure?