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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 211
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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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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 219
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AI-driven analysis of Spring Micrometer metrics in context, with topology 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 130
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AI-driven analysis of Spring Micrometer metrics in context, with topology 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 130
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Noisy Neighbor Detection with eBPF

The Netflix TechBlog

Traditional performance analysis tools such as perf can introduce significant overhead, risking further performance degradation. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 245