AgentConnect is an open-source, self-hosted multi-agent platform that integrates AI agents into existing team collaboration tools like Slack, Feishu, and GitHub, featuring a control-plane/data-plane architecture, three-level trust model, and memory isolation for teams needing data sovereignty.
Using an Amazon‑warehouse analogy, the article explains Kubernetes’s core philosophy of declarative desired state and maps each control‑plane and node component—apiserver, etcd, controller‑manager, scheduler, kubelet, kube‑proxy—to intuitive warehouse roles, while detailing service discovery, EndpointSlices, and external traffic flow.
The article dissects Claude Code’s Coordinator pattern, explaining how separating the control plane from the data plane eliminates serial bottlenecks, context overflow, and fault‑propagation in single‑Agent setups, and details the dual back‑end design, message protocol, engineering insights, technical debt, and practical adoption guidelines.
OpenAI’s March 17 release of GPT‑5.4 mini and nano marks a shift from single‑large‑model AI to a layered architecture with a control plane for complex reasoning and a data plane for high‑frequency tasks, delivering near‑flagship performance at a fraction of the cost and paving the way for hybrid agent systems and micro‑service‑style AI infrastructure.
This article introduces the P4 language and explains how a P4‑programmable switch is built, detailing its parser, ingress/egress pipelines, deparser, and the P4Runtime control interface, while highlighting the protocol‑independent, target‑independent, and high‑performance advantages for modern networks.
This article provides a detailed, English-language overview of Service Mesh, explaining its role in cloud‑native microservice architectures, the need for it, its core principles—including data and control planes—and key Istio components, while also offering promotional links to related resources.
This document details the motivation, technology selection, overall architecture, data‑plane and control‑plane design, key implementation challenges such as HTTPS interception, precise URL monitoring, and plugin extensibility, and outlines future directions for scaling service mesh within the organization.
The 2022 DPU Development Analysis Report outlines the evolution of Data Processing Units from CPU/NP and FPGA‑CPU architectures to ASIC‑CPU designs, discusses RDMA high‑speed networking, data‑plane forwarding techniques, network programmability, and the emerging open DPU software ecosystem, highlighting their performance, power, and cost implications for modern data centers.
This article examines how eBPF can enhance service‑mesh data planes, compares four deployment models—including sidecar, node‑shared, service‑account‑shared, and micro‑proxy architectures—and evaluates each model’s memory, isolation, security, and upgrade trade‑offs while emphasizing Envoy’s continued L7 responsibilities.
This article reviews the evolution of programmable switching ASICs, outlines three major challenges—chip‑specific language diversity, distributed data‑plane programming, and resource optimization—and presents Alibaba Cloud’s self‑developed compiler as a high‑level solution that boosts development efficiency by up to 78% while cutting chip resource usage by up to 84%.
The article explains Linkerd's architecture, detailing its control plane services, data‑plane sidecar proxies written in Rust, the proxy injector admission controller, and the init container that configures iptables for transparent TCP traffic within Kubernetes pods.
Baidu Testing Middleware is an Envoy‑based sidecar proxy that combines a data‑plane and control‑plane to intercept, inspect, modify, and route traffic, providing recording, replay, fault injection and rate‑limiting capabilities that support functional, system, integration, sandbox and chaos testing at massive scale.
This article recounts Momo's journey from its early micro‑service framework MOA to the adoption of a self‑developed Service Mesh, detailing architectural evolution, identified governance challenges, evaluation phases, and the design of data‑plane and control‑plane components for a cloud‑native environment.
This article explains Istio’s architecture, detailing how its control‑plane components (Pilot, Mixer, Citadel, Galley) manage traffic, policies, and security while the Envoy sidecar forms the data plane, and it walks through static and dynamic configuration methods with concrete examples.
The article reviews Google’s Andromeda network system presented at NSDI 2018, detailing its large‑scale design goals, a hybrid control‑plane model, high‑performance software data‑plane optimizations, hot‑cold flow separation, and rapid weekly updates that enable pure‑software SDN at cloud scale.
This article uses a vivid village allegory to illustrate how Software Defined Networking (SDN) separates control and forwarding, centralizes management, and improves efficiency, while also explaining SDN's core concepts, benefits, and its emerging role in future network architectures.
