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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. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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What is AWS Lambda?

Dynatrace

This is where Lambda comes in: Developers can deploy programs with no concern for the underlying hardware, connecting to services in the broader ecosystem, creating APIs, preparing data, or sending push notifications directly in the cloud, to list just a few examples. AWS continues to improve how it handles latency issues.

Lambda 180
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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management. Figure 2: Latency characteristics of memory technologies (source: Maruf et al.,

Latency 52
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Microservices fundamentally change a lot of assumptions current cloud systems are designed with, and present both opportunities and challenges when optimizing for quality of service (QoS) and utilization.

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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. We formulate the problem as a Mixed Integer Program (MIP).

Cache 251
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. The call for participation ends on March 2nd 23:59 SGT! Ford, et al., “TCP

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Narrowing the gap between serverless and its state with storage functions

The Morning Paper

Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " From an operator perspective it makes it harder to follow the classic cloud-native design in which a global storage layer is separate to compute. High performance. Introducing Shredder.