Remove Event Remove Latency Remove Systems Remove Traffic
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience.

Traffic 339
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems. ETL workflows), as well as downstream (e.g.

Systems 226
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Towards a Reliable Device Management Platform

The Netflix TechBlog

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. The RAE is configured to be effectively a router that devices under test (DUTs) are connected to.

Latency 213
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Observability is essential to ensure the reliability, security and quality of any software system. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions.

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Implementing service-level objectives to improve software quality

Dynatrace

First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Latency is the time that it takes a request to be served. So how can teams start implementing SLOs? This telemetry data serves as the basis for establishing meaningful SLOs.

Software 256
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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. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251
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Cluster Diagnostics: Troubleshoot Cluster Issues Using Only SQL Queries

DZone

For external reasons, application traffic may surge and increase the pressure on the cluster. Through a chain reaction of events, the CPU load maxes out, out of memory errors occur, network latency increases, and disk writes and reads slow down. However, reality is often unsatisfactory.