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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.

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Dynatrace OTel Collector distribution amplifies OpenTelemetry integration for scalable, production-ready observability

Dynatrace

But rigorous requirements for security, production readiness, scalability, and reliability can make adopting OpenTelemetry challenging for teams to maintain at enterprise scale. With deep analytics of traces from Dynatrace, developers have data in full context, which helps them easily debug instrumentation issues.

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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. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

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Dynatrace delivers flexible and scalable Kubernetes native synthetic private locations

Dynatrace

Some organizations need to weigh cost considerations due to technology and business scalability limitations whereas others need to adhere to company policies. The configuration process is straightforward. These numbers serve as limits for scalability, utilizing the power of the Kubernetes platform.

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What Is Platform Engineering?

DZone

Platform engineering is the creation and management of foundational infrastructure and automated processes, incorporating principles like abstraction, automation, and self-service, to empower development teams, optimize resource utilization, ensure security, and foster collaboration for efficient and scalable software development.

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Transparency and scalability. Infrastructure-as-code.