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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

How can we achieve a similar functionality when designing our gRPC APIs? By default, gRPC uses protobuf as its IDL (interface definition language) and data serialization protocol. Our protobuf message definition (.proto The solution we use within the Netflix Studio Engineering is protobuf FieldMask.

Design 246
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Batch vs. Real-Time Processing: Understanding the Differences

DZone

The decision between batch and real-time processing is a critical one, shaping the design, architecture, and success of our data pipelines. Key definitions can be summarized as follows: While both methods aim to extract valuable insights from data, they differ significantly in their execution, capabilities, and use cases.

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7 Best Performance Testing Tools to Look Out for in 2021

DZone

For example, the gaming app has to present definite actions to bring the right experience. It is almost a part of the wider performance engineering portrait, concentrating on performance glitches in the architecture and design of any software. Confirming scalability, dependability, stability, and speed of the app is crucial.

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Kumologica Container Inside AWS ECS Fargate

DZone

Photo by Chris Linnett Architecture Based on the design defined in the diagram (Figure 1), we will be building Kumologica applications as a Docker container. In this article, we will be taking through the build and deployment of a simple hello world service Docker container inside AWS Elastic Container Service (ECS) Fargate.

AWS 247
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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Dynatrace webhook server validates Dynakube definitions for correctness.

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Open Sourcing the Netflix Domain Graph Service Framework: GraphQL for Spring Boot

The Netflix TechBlog

Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. Instead, the schema gets generated at runtime based on definitions in code.

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The history of Grail: Why you need a data lakehouse

Dynatrace

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?