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/articles/netflix-global-cache/en/smallimage/updated-building-a-global-caching-system-netflix-small-logo-100x100-1728553337254.jpg)
Building a Global Caching System at Netflix: a Deep Dive to Global Replication
Netflix's EVCache system handles 400M ops/second across 22,000 servers, managing 14.3 PB of data. This infrastructure ensures global availability and resilience through intelligent data routing and flexible replication strategies. By implementing batch compression and switching to DNS-based discovery, Netflix optimizes efficiency, reduces bandwidth usage and significantly lowers operational costs.
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/articles/webassembly-containers-dotnet-aspire/en/smallimage/WebAssembly-Containers-logo-small-1725518087283.jpg)
WebAssembly and Containers: Orchestrating Distributed Architectures with .NET Aspire
Running, composing, and debugging distributed applications on the local developer machine can be difficult, error-prone, and time-intensive. Those daily tasks could be dramatically simplified thanks to .NET Aspire. In this article, we will quickly dive into .NET Aspire and illustrate how you can orchestrate next-generation distributed applications.
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/articles/java-virtual-threads-a-case-study/en/smallimage/java-virtual-threads-small-logo-1720447061699.jpg)
Java Virtual Threads: a Case Study
This article explores JDK 21's virtual threads, comparing their performance with Open Liberty's thread pool. It covers key findings like throughput, ramp-up times, and memory footprint. Despite advantages, virtual threads showed unexpected performance issues, especially in CPU-intensive workloads. This analysis guides Java developers on when and how to use virtual threads in their applications.
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/articles/ai-revolution-not-monopolized/en/smallimage/TheAIRevolutionwillnotbeMonopolized-small-1719580808343.jpg)
The AI Revolution Will Not Be Monopolized
Large language models have significantly transformed the field of artificial intelligence. The fundamental innovation behind this change is surprisingly straightforward: make the models a lot bigger. With each new iteration, the capabilities of these models expand, prompting a critical question: are we moving toward a black box era where AI is controlled by a few tech monopolies?
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/articles/netflix-highly-reliable-stateful-systems/en/smallimage/GettyImages-1208363215-small-1715333971540.jpg)
How Netflix Ensures Highly-Reliable Online Stateful Systems
Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix.
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/articles/jakartaee-testing-deep-dive/en/smallimage/Modernizing-Testing-Practices-for-jakarta-EE-Projects-small-1712236207796.jpg)
Modernizing Testing Practices for Jakarta EE Projects
This article focuses on the increasing adoption of data-driven testing in Java enterprise applications and sheds light on the Data and NoSQL Jakarta specifications. It highlights the significance of modern testing libraries such as JUnit Jupiter and AssertJ and emphasizes the importance of container-based frameworks like Testcontainers in enhancing testing practices.
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/articles/managing-memberships-netflix/en/smallimage/Managing238M-1710832361735.jpg)
Managing 238M Memberships at Netflix
In this article Surabhi Diwan shared how the Netflix membership team does distributed systems: the architecture bets, technology choices, and operational semantics that serve the needs of Netflix’s ever-growing member base.
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/articles/persist-with-jakartaee-data/en/smallimage/simplifying-persistence-integration-with-jakarta-EE-data-small-1696249233891.jpg)
Simplifying Persistence Integration with Jakarta EE Data
Jakarta Data streamlines Java enterprise data integration. Supporting various databases, it boosts productivity, is open-source, and community-driven. GitHub offers hands-on experience for modernizing enterprise architectures.
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/articles/kafkaflow-dotnet-framework/en/smallimage/building-kafka-event-driven-applications-with-KafkaFlow-small-1693903734363.jpg)
Building Kafka Event-Driven Applications with KafkaFlow
KafkaFlow, a .NET open-source project, simplifies Kafka-based event-driven app development with features like middleware for message processing, enhancing maintainability, customization potential, and allowing developers to prioritize business logic.
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/articles/federated-GraphQL-platform-Netflix/en/smallimage/Evolving-the-Federated-GraphQL-Platform-at-Netflix-small-1691653833320.jpg)
Evolving the Federated GraphQL Platform at Netflix
This article describes the journey of the migration towards a Federated GraphQL architecture. Specifically, it shows the GraphQL platform Netflix has built consisting of the Domain Graph Services framework for implementing GraphQL services in Java using Spring Boot and graphql-java, and tools for schema development. It also describes how the ecosystem has evolved at various stages of adoption.
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/articles/critical-journeys-azure/en/smallimage/monitor-application-critical-user-journeys-with-Azure-small-1685436183622.jpg)
Monitoring Critical User Journeys in Azure
Flowe explains how they combine metrics from many sources together in Azure to monitor Critical User Journeys and prevent downtime for a critical application.
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/articles/dotnet-unit-tests-time-timezone/en/smallimage/TimeProvider-and-ITimer-Unit-Tests-small-1688031693864.jpg)
TimeProvider and ITimer: Writing Unit Tests with Time in .NET 8 Preview 4
The article discusses the challenges of writing unit tests and handling date and time in .NET. TimeProvider and ITimer are new universal time abstractions available in NET 8 Preview 4 for dependency injections and unit testing, offering extensive functionality for managing time-related operations.