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Bending pause times to your will with Generational ZGC

The Netflix TechBlog

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. Each of these errors is a canceled request resulting in a retry so this reduction further reduces overall service traffic by this rate: Errors rates per second. There is no best garbage collector.

Latency 237
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. In this step, a pipeline picks our candidate change, deploys the service, makes it publicly discoverable, and redirects a small percentage of production traffic to this new service.

Latency 241
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Achieving observability in async workflows

The Netflix TechBlog

It enables a Production Office Coordinator to keep a Production’s cast, crew, and vendors organized and up to date with the latest information throughout the course of a title’s filming. Prodicle Distribution Our service is required to be elastic and handle bursty traffic. Things got hairy.

Traffic 166
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

The other sections on that page (such as Disk analysis) provide further information and charts on topics such as available disk space, latency, dropped network packets, refused connections, and more. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 243
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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. For write-only traffic, the QPS counters match the performance of standard RDS instances for lower thread counts, though, for higher counters, there is a drastic improvement.

AWS 117
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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. And, of course, the result needs to be seamless and delightful — dare we say, even fun — to develop and maintain. Ilya Grigorik.

Cache 139
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Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. There is a system that monitors traffic and counts unique visitors for different criteria (visited site, geography, etc.) A group of several such sketches can be used to process range query. Case Study. Case Study.

Analytics 191