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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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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Before a new version of the application is deployed, the software is subject to a series of load tests that evaluate capacity and performance under a series of simulated traffic and application demands. These metrics are latency, traffic, errors, and saturation, all of which must be key considerations when curating user experience.

Speed 211
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FIFO vs. LIFO: Which Queueing Strategy Is Better for Availability and Latency?

DZone

But what happens when traffic bursts overwhelm your system? In this post, we'll explore both strategies through a simple simulation in Colab, allowing you to see the impact of changing parameters on system performance. Queueing requests is a common solution, but what's the best approach: FIFO or LIFO?

Strategy 141
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. At the lowest level, SLIs provide a view of service availability, latency, performance, and capacity across systems. Make SLOs realistic.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130
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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 268