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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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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

The importance of critical infrastructure and services While digital government is necessary, protecting critical infrastructure and services is equally important. Critical infrastructure and services refer to the systems, facilities, and assets vital for the functioning of society and the economy.

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Globalizing Productions with Netflix’s Media Production Suite

The Netflix TechBlog

With these challenges in mind, Netflix has developed a suite of tools by filmmakers for filmmakers: the Media Production Suite(MPS). This vast gap presents a unique challenge: developing global technology that caters to both established and emerging markets, each with distinct languages and workflows. What are we solvingfor?

Media 203
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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

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

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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

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What is container as a service? How CaaS compares to PaaS, IaaS, and FaaS

Dynatrace

Container environments enable enterprises to quickly deploy and develop cloud-native applications that can run anywhere. The emergence of Docker and other container services enabled companies to transport code quickly and easily. CaaS automates the processes of hosting, deploying, and managing container technologies. CaaS vs. PaaS.

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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.