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Performance and Scalability Analysis of Redis and Memcached

DZone

This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision. However, the question arises of choosing the best one.

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Automated Change Impact Analysis with Site Reliability Guardian

Dynatrace

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. The post Automated Change Impact Analysis with Site Reliability Guardian appeared first on Dynatrace news.

DevOps 230
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Investigation of a Workbench UI Latency Issue

The Netflix TechBlog

To investigate this issue, we needed a quantitative analysis of the slowness. har file recording all communications from the browser and loaded it into a Notebook for analysis. Using this approach, we observed latencies ranging from 1 to 10 seconds, averaging 7.4 j”) for 15 seconds while running the user’s notebook.

Latency 217
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AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. This enables deep explorative analysis.

Metrics 220
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 349
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

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. The latency table shows that 99th percentile latency for Yugabyte is quite high compared to others (lower is better). Again Yugabyte latency is quite high. Conclusion.

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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”

Hardware 363