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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

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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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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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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. This goal requires converging observability and security , along with automating runtime vulnerability analytics.

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Unlocking collaborative partner innovation: 2024 Dynatrace Partner Pro Club winners

Dynatrace

Elevating user experience and design with collaborative partner innovation The top submissions stood out by solving complex business challenges and focusing on creating an exceptional user experience. The User Flow Analytics app was created to address real-life business challenges. Below are the winners.

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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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Dynatrace Amplify Partner Sales Kickoff 2023: Observability Unleashed

Dynatrace

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Silos are converging within different roles, for example, and different audiences need different views of data for monitoring and securing cloud-native environments.