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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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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

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

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279
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Towards a Reliable Device Management Platform

The Netflix TechBlog

Canary Test Workloads In addition to serving the regular message traffic between users and DUTs, the control plane itself is stress-tested at roughly 3-hour intervals, where nearly 3000 ephemeral MQTT clients are created to connect to and generate flash traffic on the MQTT brokers. million elements.

Latency 213
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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance. When an edge server goes down, end users in the affected region may experience an increase in latency for that specific location.

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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance.

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The Best Way to Host MongoDB on DigitalOcean

Scalegrid

Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. While adequate for low-traffic applications, small databases, and dev/test environments, we recommend against leveraging shared clusters for your MongoDB production deployments.

Azure 187