The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Scalegrid

MARCH 22, 2024

Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions? Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. Watch webinar now!

Open Source 297

Open Source Traffic DevOps Cloud 297

The Netflix TechBlog

OCTOBER 15, 2019

Data Pipeline using Delta In the following sections, we are going to describe the Delta-Connector that connects to a datastore and publishes CDC events to the Transport Layer, which is a real-time data transportation infrastructure routing CDC events to Kafka topics. Please stay tuned.

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The Netflix TechBlog

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Together, they form the Device Management Platform, which is the infrastructural foundation for Netflix Test Studio (NTS). This effectively ensures exactly-once processing on a per-event basis.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

JULY 26, 2021

In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. With this batch style approach, several issues have surfaced like data movement is tightly coupled with database tables, database schema is not an exact mapping of business data model, and data being stale given it is not real time etc.

Big Data 253

Big Data Government Analytics Processing 253