Remove 2024 Remove Best Practices Remove Infrastructure Remove Scalability
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Driving your FinOps strategy with observability best practices

Dynatrace

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. A key theme at Dynatrace Perform 2024 is the need for AI observability and AI data analysis to minimize the potential for skyrocketing AI costs.

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Enterprise Cloud Security Strategy For 2024

Scalegrid

With the prevalence of cyber threats and regulatory pressures, safeguarding your enterprise’s cloud infrastructure is more critical than ever. Governance and compliance are also crucial factors in ensuring enterprise cloud security as they enforce regulatory requirements and best practices within organizations.

Strategy 130
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

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Cloud Native Predictions for 2024

Percona

As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Predictions Multi-cloud is a requirement While this wave has been building for years, in 2024, we expect it to peak. We expect that number to rise higher in 2024.

Cloud 77
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Why growing AI adoption requires an AI observability strategy

Dynatrace

Because AI observability monitors resource utilization during all phases of AI operations—from model training and inference to tracking model performance—it enables organizations to best balance between accuracy and resource efficiency and to optimize operational costs. Use containerization. Continuously monitor AI models’ performance.

Strategy 227
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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

Note : Google plans to replace this metric with another one called Interaction to Next Paint (INP) beginning in 2024. We realized that we needed to consider a more global and scalable solution to better serve our global audience. It also reports on mobile usability, security, and best practices such as HTTPS.