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Why growing AI adoption requires an AI observability strategy

Dynatrace

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. They can do so by establishing a solid FinOps strategy. Optimizing AI models can help save computational resources, storage space, bandwidth, and energy. What is AI observability? Use containerization.

Strategy 288
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Reducing Your Database Hosting Costs: DigitalOcean vs. AWS vs. Azure

Scalegrid

Replication Strategy. Does it affect latency? Yes, you can see an increase in latency. So, if you’re hosting your application in AWS or Azure and move your database to DigitalOcean, you will see an increase in latency. Here are the configurations for this comparison: Plan. Dedicated Hosting. MongoDB® Database.

Azure 344
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Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption

The Morning Paper

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., What is the end-to-end throughput and latency, and where are the bottlenecks? energy consumption). Throughput and latency. SIGCOMM’20. The 5G network is operating at 3.5GHz).

Energy 130
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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

This proximity reduces latency and enables real-time decision-making. Lower latency and greater reliability: Edge computing’s localized processing enables immediate responses, reducing latency and improving system reliability. Assess factors like network latency, cloud dependency, and data sensitivity.

IoT 52
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 305
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

But energy consumption isn’t limited to training models—their usage contributes significantly more. For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count.

Cache 276
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Performance Hero: Annie Sullivan

Speed Curve

So in addition to all the optimization work we did for Google Docs, I got to spend a lot of time and energy working on the measurement problem: how can we get end-to-end latency numbers? There were two case studies highlighting third party wins published on web.dev ( 1 , 2 ), and Google Publisher Tag launched a new yielding strategy.