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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

Using these tools, organizations can scale faster with real-time insights into their Google Cloud infrastructure, enhanced by AI-powered context from Davis. The post Google Cloud Next 2024: AI innovation for Google Cloud appeared first on Dynatrace news. Learn more.

Google 254
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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

are automatically distributed to a group of ActiveGates, balancing the load automatically and switching workloads in case of infrastructure failure, to assure continued monitoring execution. Comprehensive metrics support Extensions 2.0 It provides metrics for various components such as brokers, topics, producers, and consumers.

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Driving your FinOps strategy with observability best practices

Dynatrace

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending.

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Beyond uptime: Unveiling the improved Dynatrace SLA

Dynatrace

Notification subscription options Reliability In our commitment to reliability, we chose an external vendor to ensure that status reporting and incident update notifications are still available even if our entire infrastructure were to be affected by an incident.

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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, AI enables intelligent resource allocation for the optimal scaling of platform infrastructure without the need for any human intervention.

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Mitigating risk with AI observability: Dynatrace empowers organizations to embrace AI for all use cases

Dynatrace

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). For all Perform coverage, check out the Dynatrace Perform 2024 guide.

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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

During a breakout session at Dynatrace Perform 2024 , Alois Mayr, principal product manager at Dynatrace, and Stefano Doni, CTO at Akamas, broke down how Dynatrace and Akamas can help organizations enhance Kubernetes cluster management. “Additionally, we are full-stack and goal-oriented. ” For Doni, it’s all about balance.