Remove Availability Remove Latency Remove Presentation Remove Tuning
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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.

Metrics 130
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Mastering MongoDB® Timeout Settings

Scalegrid

For example, if there’s some trouble connecting due to networking problems or excessive load requests from customers present on the server’s side, that might result in a resolution-related delay causing a subsequent timeout problem. Fine-tuning these settings would lead to improved performance and provide an enhanced user experience. <p>The

Java 130
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What Adrian Did Next: 2022 Conference Appearances

Adrian Cockcroft

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52
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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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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. Surveying the existing landscape of available developer tools and runtimes, we felt that there is a gap. Stay tuned for more in 2022!

Cache 135
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A case for managed and model-less inference serving

The Morning Paper

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50. HotOS’19.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279