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This article introduces the latest progress of Higress in switching the runtime of Wasm plug-in from V8 to WAMR.
This article describes Knative's traffic management, traffic access, traffic-based elasticity, and monitoring.
This article introduces how TensorRT-LLM improves the efficiency of large language model inference by using quantization, in-flight batching, attention, and graph rewriting.
This article describes how to use SLS SPL (Structured Programming Language) to configure the SLS Connector to structure data.
The article discusses the limitations of the existing iLogtail architecture and collection configuration and introduces the new features in iLogtail 2.
This article discusses the significant role of Fluid with JindoCache in the large-scale model training within Alibaba Group.
This article introduces how to use the aggregator_context plug-in to maintain the context of logs and how to query the context in the console.
This article investigates the application scenarios and architectures of Kubernetes operators in various log collectors.
This article focuses on the shared memory usage of containerized game servers and provide best practices.
This article demonstrates how Higress seamlessly interfaces with OKG Gaming Services, and the outstanding features it brings to the table.
The article describes the evolution of Nacos and introduces Nacos Controller project as a bridge between Nacos and Kubernetes.
This article explains how to leverage TensorRT to speed up image generation in Stable Diffusion using the Alibaba Cloud ACK cloud-native AI suite.
This article introduces the engineering challenges of generative AI model services in cloud-native scenarios and the optimization of Fluid in cloud-native generative AI model inference contexts.
This article explores the distinctions between mainstream batch computing systems and Kubernetes clusters for distributed Argo Workflows.
This article discusses the concept and practice of end-to-end canary releases, particularly in the context of microservices.
This article outlines the process for upgrading a Spring Boot application to Spring Cloud, capitalizing on the microservice ecosystem of Spring Cloud.
This article focuses on the construction of system observability, specifically the metric monitoring system.
This article introduces the features of random indexes in RocketMQ, including the separation of hot and cold data, specific details, and comparisons with other systems.
This article reviews how Spring Cloud Gateway fulfills the scenarios of HTTP request or response transformation requirements.
This article aims to analyze and evaluate the selection of technical architectures in a data-intensive application model.
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