Remove Definition Remove Processing Remove Systems Remove Tuning
article thumbnail

Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

article thumbnail

Data Mesh?β€”?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Tech Transforms podcast: SBOMs and the mission for federal government cybersecurity – down to the software supply chain

Dynatrace

β€œIt’s kind of wild that we expect more transparency from a nonbiodegradable snack than we do from the software that runs our organizations, our critical infrastructure, and our national security systems.” After pushing for a faster timeline, the White House told the government it had 60 days to issue a minimum definition of SBOMs.

article thumbnail

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.

Java 202
article thumbnail

Migrating Critical Traffic At Scale with No Downtime?β€”?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtimeβ€Šβ€”β€ŠPart 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279
article thumbnail

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. In this way, no human intervention is required in the remediation process. Multi-objective optimizations.

Tuning 210
article thumbnail

Uplevel production resiliency with automated problem remediation

Dynatrace

Process restarts (for example, JVM memory leaks) β€”Trigger a service restart or related actions for applications with underlying bug fixes that have been deprioritized or delayed. Deployment and rollback β€”Trigger predefined rollback or roll-forward actions when a faulty deployment violates SLOs or decreases your error budget above the target.

DevOps 233