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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

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Scalable Annotation Service?—?Marken

The Netflix TechBlog

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. All data should be also available for offline analytics in Hive/Iceberg. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources.

Cache 201
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251
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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

Five Nines availability or 99.999%, also referred to as "the gold standard" significantly reduces downtime (5.26 The Four Pillars of CDN Design‍CDN architecture can be broken down into several building blocks, known as the Four Pillars of CDN Design. Reliability‍Reliability is the foundation of maintaining a consistent user experience.

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Towards a Reliable Device Management Platform

The Netflix TechBlog

For example, when running tests, the state of the device will change from “available for testing” to “in test.” Build a Spring @Configuration class that autowires the KafkaProperties bean injected by the Netflix Spring runtime and, using the Kafka settings available from that bean, construct an Alpakka-Kafka ConsumerSettings bean.

Latency 213
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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g., even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers. Figure 2: Latency characteristics of memory technologies (source: Maruf et al.,

Latency 52