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workflow orchestration

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HelloTech
HelloTech
Feb 21, 2025 · Fundamentals

Componentization and Workflow Orchestration: Design Principles and Practices

Componentization reduces software complexity by breaking logic into single‑responsibility, decoupled units that can be statically orchestrated with a Java DSL or dynamically configured via JSON, while clear interfaces, appropriate granularity, and extension points ensure reusable, maintainable, and adaptable workflows.

DSLDecouplingcomponentization
0 likes · 22 min read
Componentization and Workflow Orchestration: Design Principles and Practices
Beijing SF i-TECH City Technology Team
Beijing SF i-TECH City Technology Team
Feb 7, 2025 · Backend Development

Applying Netflix Conductor for Scalable Workflow Orchestration in a Logistics System

This article details how a logistics company's platform adopted Netflix Conductor to unify and scale algorithmic task scheduling, addressing challenges such as fragmented workflows, resource imbalance, and long-running jobs by implementing dynamic DAGs, fork‑join patterns, and robust retry mechanisms, resulting in significant performance gains.

ConductorLogisticsbackend development
0 likes · 21 min read
Applying Netflix Conductor for Scalable Workflow Orchestration in a Logistics System
macrozheng
macrozheng
Dec 20, 2024 · Big Data

Master Data Pipelines with Kestra: Open‑Source Workflow Engine Explained

This article introduces the open‑source Kestra workflow engine, outlines its key features for building scalable data pipelines, provides step‑by‑step Docker installation and YAML workflow examples, and showcases its visual UI for monitoring and managing complex ETL and automation tasks.

DockerKestradata pipelines
0 likes · 6 min read
Master Data Pipelines with Kestra: Open‑Source Workflow Engine Explained
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Nov 7, 2024 · Cloud Native

Deep Dive into the New Features of Argo Workflows 3.6

This article provides a comprehensive analysis of Argo Workflows 3.6, covering its enhanced scheduling, UI improvements, controller stability and security upgrades, OSS artifact garbage collection, dynamic template references, expanded expression library, and CLI usability, along with practical YAML examples for each feature.

Argo WorkflowsCI/CDKubernetes
0 likes · 12 min read
Deep Dive into the New Features of Argo Workflows 3.6
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Oct 18, 2024 · Cloud Native

Comparative Study of Batch Compute and Serverless Argo Workflows for Containerized Data Processing

This article compares a cloud‑provider’s closed‑source Batch compute service with the open‑source, serverless Argo Workflows platform, demonstrating how each can orchestrate multi‑stage containerized data‑processing pipelines, detailing configuration, job definitions, dependency handling, and operational trade‑offs.

Argo WorkflowsBatch ComputeContainerization
0 likes · 12 min read
Comparative Study of Batch Compute and Serverless Argo Workflows for Containerized Data Processing
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Jan 20, 2024 · Backend Development

Tango Flow: A Low‑Code Workflow Orchestration Platform for Cloud Music Backend

Tango Flow is a low‑code workflow orchestration platform that unifies Cloud Music’s backend services—RPC, HTTP, FaaS and tool‑domain APIs—into visual, versioned workflows, offering drag‑and‑drop design, debugging, mock testing, multi‑tenant clustering, monitoring and continuous release to replace BFFs and accelerate full‑chain development.

BFFbackend developmentcloud native
0 likes · 18 min read
Tango Flow: A Low‑Code Workflow Orchestration Platform for Cloud Music Backend
DataFunTalk
DataFunTalk
Jul 4, 2023 · Big Data

Integrating Apache Airflow with ByteHouse: A Step‑by‑Step Guide

This guide explains how to integrate Apache Airflow with ByteHouse, highlighting scalability, automated workflow management, and simple deployment, and provides a step‑by‑step tutorial—including prerequisites, installation, configuration, DAG creation, and execution commands—to build a robust data pipeline for analytics and machine learning.

Apache AirflowByteHouseETL
0 likes · 10 min read
Integrating Apache Airflow with ByteHouse: A Step‑by‑Step Guide
DevOps Cloud Academy
DevOps Cloud Academy
Feb 28, 2023 · Operations

Understanding Apache Airflow Celery Executor: Architecture, Setup, and Task Execution

This article explains how Apache Airflow's Celery Executor works, covering its key features, installation steps, configuration details, architectural components, and the complete task execution process that enables scalable, distributed workflow orchestration for data pipelines.

Apache AirflowCelery Executordata pipelines
0 likes · 15 min read
Understanding Apache Airflow Celery Executor: Architecture, Setup, and Task Execution
DevOps Cloud Academy
DevOps Cloud Academy
Nov 22, 2022 · Big Data

Components and Key Terminology in Apache Airflow

Apache Airflow’s architecture consists of schedulers, executors, workers, a web server, and a metadata database, enabling scalable workflow orchestration, while essential terminology such as DAGs, operators, and sensors defines how tasks are organized, executed, and monitored within data pipelines.

Apache AirflowBig DataDAG
0 likes · 8 min read
Components and Key Terminology in Apache Airflow
Baidu Geek Talk
Baidu Geek Talk
Aug 31, 2022 · Artificial Intelligence

Baidu Intelligent Cloud Launches Cloud-native AI 2.0 to Accelerate AI Engineering

Baidu Intelligent Cloud’s new Cloud‑native AI 2.0 platform tackles AI engineering bottlenecks by offering hybrid‑parallel large‑model training, flexible GPU virtualization, and an AI Accelerate Kit that boosts training efficiency over 50 % and cuts inference latency up to 63 %, raising GPU utilization from ~13 % to about 50 %.

AIAI accelerationGPU virtualization
0 likes · 15 min read
Baidu Intelligent Cloud Launches Cloud-native AI 2.0 to Accelerate AI Engineering
Big Data Technology Architecture
Big Data Technology Architecture
May 31, 2022 · Big Data

Comprehensive Guide to Installing and Using Apache Airflow with Docker on Windows

This article provides a detailed tutorial on Apache Airflow fundamentals, Docker-based installation on Windows, Dockerfile creation, container deployment via Docker run and Docker Compose, Airflow configuration, and practical usage of DAGs, tasks, connections, and UI features for data pipeline orchestration.

Apache AirflowDockerDocker Compose
0 likes · 14 min read
Comprehensive Guide to Installing and Using Apache Airflow with Docker on Windows
Youzan Coder
Youzan Coder
Jun 25, 2021 · Operations

Building an Event-Driven Automated Operations Platform (Whale)

Whale is an event‑driven automated operations platform that lets developers package atomic tasks, users compose workflows, and a rule‑matching engine trigger them in real time via an event center, employing a StackStorm‑based execution engine for fault‑tolerant, cross‑datacenter orchestration and future AI‑enhanced self‑healing.

AIOpsDevOpsStackStorm
0 likes · 7 min read
Building an Event-Driven Automated Operations Platform (Whale)
Youzan Coder
Youzan Coder
Jan 11, 2019 · Backend Development

Business Reconciliation Platform Architecture Design for Distributed Systems

The article describes YouZan's business reconciliation platform for distributed systems, which detects and quantifies data inconsistencies by offering easy plug‑in integration, a four‑step orchestrated workflow, high‑throughput offline processing with Spark, second‑level real‑time event handling, a three‑layer architecture, and health monitoring for transaction chains.

CAP theoremReal-time Processingdata consistency
0 likes · 9 min read
Business Reconciliation Platform Architecture Design for Distributed Systems