Remove Analytics Remove Latency Remove Traffic Remove Video
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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. This is only one of many microservices that make up the Prime Video application. Finally, what were they building?

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Implementing service-level objectives to improve software quality

Dynatrace

First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics.

Software 259
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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Existing data got updated to be backward compatible without impacting the existing running production traffic. Error Handling Errors are part of software development.

Media 237
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Turbocharge Your Content Delivery With CDN Multiple Origins Load Balancer!

IO River

‍Just as a well-coordinated airport directs flights to multiple runways based on traffic and weather conditions, a CDN with Multiple Origins Load Balancing ensures that web traffic is distributed across various data centers, optimizing performance and reliability. ‍But how does it decide where to send this traffic?

Traffic 52
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Investigating a video streaming failure consists of inspecting all aspects of a member account. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. For example, in Reloaded the video quality calculation was implemented inside the video encoder module.

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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.