Remove product eureka
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Netflix OSS and Spring Boot?—?Coming Full Circle

Netflix Tech

Ribbon for load balancing, Eureka for service discovery, and Hystrix for fault tolerance. Fast forward to 2018, the Spring product has evolved and expanded to meet all of these requirements, some through the usage and adaptation of Netflix’s very own software! Lacking suitable alternatives, we created solutions in-house.

Java 110
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Zero Configuration Service Mesh with On-Demand Cluster Discovery

Netflix Tech

During these early years in the cloud, we built Eureka for Service Discovery and Ribbon (internally known as NIWS) for IPC. Eureka solved the problem of how services discover what instances to talk to, and Ribbon provided the client-side logic for load-balancing, as well as many other resiliency features.

Cloud 88
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API-First Approach to Kafka Topic Creation

DoorDash Engineering

Note: The volume of new Topic-created PRs could exceed 20 per hour during product launches. Our “eureka” moment was when we realized that this was a perfect use-case for super-user accounts. Upon each Topic creation, an Iguazu user’s ACL file was updated with an ACL entry for that topic.

Kafka 91
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Pioneering Data Observability:Data, Code, Infrastructure, & AI

Towards Data Science

Frustrated customers scratching their heads because our product was fed inaccurate data. This evolution is owing to a few exciting trends: the rise of data products and, as a result, the ongoing migration of data teams closer to or directly into the Engineering org. In fact, we’ve gone beyond simply treating data like a product.

Coding 76
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Pioneering Data Observability: Data, Code, Infrastructure, & AI 

Monte Carlo

Frustrated customers scratching their heads because our product was fed inaccurate data. This evolution is owing to a few exciting trends: the rise of data products and, as a result, the ongoing migration of data teams closer to or directly into the Engineering org. In fact, we’ve gone beyond simply treating data like a product.

Coding 52
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Top Data Catalog Tools

Monte Carlo

The use of popularity-driven relevancy brings the most useful information forward and the product creates in-workflow governance to maintain data policies. Ataccama has created a product to help organizations readily collaborate between data engineers, data stewards, and business users, by sharing information, questions and discussions.

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How Netflix microservices tackle dataset pub-sub

Netflix Tech

It communicates with the Gutenberg service via gRPC, using Eureka for service discovery. At present, Gutenberg stores low tens-of-thousands of topics in production, about a quarter of which have published at least once in the last six months. Publishing Publishers generally use high-level APIs to publish strings, files, or byte arrays.