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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. In production, containers are easy to replicate. What is Docker? Watch webinar now!

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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

There are several open source CDC projects, often using the same underlying libraries, database APIs, and protocols. No locks on tables are ever acquired, which prevent impacting write traffic on the source database. Hence, downstream consumers receive change events as they occur on a source.

Database 197
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

There are several open source CDC projects, often using the same underlying libraries, database APIs, and protocols. No locks on tables are ever acquired, which prevent impacting write traffic on the source database. Hence, downstream consumers have confidence to receive change events as they occur on a source.

Database 212
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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

Operational Reporting Pipeline Example Iceberg Sink Apache Iceberg is an open source table format for huge analytics datasets. However, it is paramount that we validate the complete set of identifiers such as a list of movie ids across producers and consumers for higher overall confidence in the data transport layer of choice.

Big Data 253
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HTTP/3: Practical Deployment Options (Part 3)

Smashing Magazine

As such, a micro-optimization is, again, how you probably need to fine-tune things on a low level to really benefit from it. Luckily, multiple companies have been working on open-source QUIC and HTTP/3 implementations for over five years now, so we have several mature and stable options to choose from. What Does It All Mean?

Network 104
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HTTP/3: Performance Improvements (Part 2)

Smashing Magazine

An often used metaphor is that of a pipe used to transport water. One aspect of performance is about how efficiently a transport protocol can use a network’s full (physical) bandwidth (i.e. As such, tuning congestion logic is usually only done by a select few developers, and evolution is slow. Congestion Control.