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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. Again Yugabyte latency is quite high. The latency table for test D is as below.

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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130
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SLOG: serializable, low-latency, geo-replicated transactions

The Morning Paper

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., SLOG is another research system motivated by the needs of the application developer (aka, user!). That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in. VLDB’19. in the paper for details on how migrations are made safe).

Latency 70
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Time to First Byte: What It Is and Why It Matters

CSS Wizardry

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). A lot of people surmise that TTFB is merely time spent on the server, but that is only a small fraction of the true extent of things. The reason is because mobile networks are, as a rule, high latency connections.

Latency 269
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Implementing service-level objectives to improve software quality

Dynatrace

When organizations implement SLOs, they can improve software development processes and application performance. Develop error budgets to help teams measure success and make data-driven decisions. In this example, “Reverse proxy” and “Front-end server” are clearly in the critical path. SLOs improve software quality. Reliability.

Software 259
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How to maximize serverless benefits and overcome its challenges

Dynatrace

Despite the name, serverless computing still uses servers. This means companies can access the exact resources they need whenever they need them, rather than paying for server space and computing power they only need occasionally. If servers reach maximum load and capacity in-house, something has to give before adding new services.