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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

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.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

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. In production, containers are easy to replicate. What is Docker?

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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. These include Source IP, destination IP, transport protocol, source port, and destination port. What is VPC Flow Logs. The Dynatrace problem-detection-and-analysis advantage.

AWS 229
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Stuff The Internet Says On Scalability For March 8th, 2019

High Scalability

All of the heavy-lifting infrastructure was already in place for it. There was already a transportation network called the US Postal Service, and Royal Mail, and Deutsche Post, all over the world, that could deliver our packages. We didn't have to build any of that heavy infrastructure. An even more stark example is Facebook.

Internet 146
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Towards a Reliable Device Management Platform

The Netflix TechBlog

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).

Latency 224
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 223
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Blocking write traffic by locking tables. Writing events to any output.

Database 209