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Best Practices in Cloud Security Monitoring

Scalegrid

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. The automatic nature also allows for quick response times in addressing any identified security concerns making it an ideal solution for effective cloud security monitoring.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. JMX monitoring extensions are currently being migrated. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions 2.0 Dynatrace Extensions 1.0

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. There are several ways to provide explainability to models but one way is to train an explainer model based on each trained model.

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What the NIS2 Directive means for application security

Dynatrace

The following are the general requirements for reporting for the NIS2 directive: Risk management: Organizations are obligated to execute a comprehensive set of critical measures designed to effectively mitigate cyber risks. At the same time, monitoring the software bill of materials provided by the vendor can be both tedious and unreliable.

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

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments.

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Dynatrace Amplify Partner Sales Kickoff 2023: Observability Unleashed

Dynatrace

Silos are converging within different roles, for example, and different audiences need different views of data for monitoring and securing cloud-native environments. The Services Endorsement Program includes training and certification for partners that span unified observability and security, AIOps, and advanced DevSecOps and CloudOps.