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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. This approach has a handful of benefits.

Traffic 339
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed). RUM, however, has some limitations, including the following: RUM requires traffic to be useful.

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The Magic of PITR, pg_upgrade, and Logical Replication When Used Together for PostgreSQL Version Upgrades

Percona

Inspired by David’s insights, I embarked on a journey to explore logical replication from a different perspective – within the realm of on-premises server databases. The scenario Service considerations In this exercise, we wanted to perform a major version upgrade from PostgreSQL v12.16 done server stopped 16.

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MySQL Capacity Planning

Percona

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. Unfortunately, this topic is more of an art than a science, given that there is really no foolproof algorithm or approach that can tell you exactly where you might hit a bottleneck with server performance.

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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This can result in significant cost savings for high traffic applications. No problem.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Functional Testing Functional testing was the most straightforward of them all: a set of tests alongside each path exercised it against the old and new endpoints. 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.

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Open Sourcing Mantis: A Platform For Building Cost-Effective, Realtime, Operations-Focused…

The Netflix TechBlog

A few noteworthy examples include: Realtime monitoring of Netflix streaming health which examines all of Netflix’s streaming video traffic in realtime and accurately identifies negative impact on the viewing experience with fine-grained granularity.