deployment automation

Didi Tech

Mar 6, 2025 · Cloud Native

Evolution of the Application Center Platform with OAM and KubeVela

Over two years, our Application Center Platform evolved through four stages—initial KubeVela‑based delivery, added bottom‑up synchronization for legacy services, a standardized OAM‑aligned application model, and multi‑active governance with delivery rules—boosting hybrid‑cloud delivery efficiency by over 60% and enabling automated clustering, resource detection, and compliance.

Cloud NativeKubeVelaMulti-Cluster

0 likes · 17 min read

Evolution of the Application Center Platform with OAM and KubeVela

Didi Tech

Sep 19, 2024 · Cloud Native

Configuration‑as‑Code Platform for Multi‑Region Deployment: Design, Implementation and Practices

To overcome Didi’s costly, months‑long, manual multi‑region rollouts, the team built a Configuration‑as‑Code platform that isolates environment settings in a dedicated repository, enforces a versioned template with validation rules, and integrates automated placeholder substitution into CI/CD, cutting manual effort by roughly 80 % and removing coordination bottlenecks.

Configuration ManagementDevOpsMicroservices

0 likes · 26 min read

Configuration‑as‑Code Platform for Multi‑Region Deployment: Design, Implementation and Practices

DataFunTalk

Jul 30, 2024 · Cloud Native

Baidu Jarvis2.0: Building One of the Industry’s Most Complex Microservice Systems with Cloud‑Native Multi‑Runtime Architecture

The article details how Baidu’s Jarvis2.0 platform evolved from a few modules to over a thousand microservices, introducing a cloud‑native multi‑runtime architecture, automated deployment pipelines, and an xDS‑based control plane that dramatically improve deployment speed, governance efficiency, and system stability across dozens of product lines.

Cloud NativeKubernetesMicroservices

0 likes · 14 min read

Baidu Jarvis2.0: Building One of the Industry’s Most Complex Microservice Systems with Cloud‑Native Multi‑Runtime Architecture

TAL Education Technology

Sep 10, 2020 · Cloud Native

Accelerating Project Deployment with a Container Platform and Domain Convergence

This article describes how the infrastructure team reduced new project deployment time to under an hour by combining a container platform with domain convergence, detailing the processes, automation pipelines, Kubernetes-based deployment, autoscaling, logging, and security considerations for efficient, cloud‑native operations.

Cloud NativeKubernetesOperations

0 likes · 17 min read

Accelerating Project Deployment with a Container Platform and Domain Convergence

Architects Research Society

Apr 4, 2020 · Cloud Computing

Immutable Infrastructure: Concepts, Benefits, and Implementation Details

This article explains the difference between mutable and immutable infrastructure, outlines the advantages of immutable architectures such as consistency, reliability, and simplified deployments, and provides practical guidance on implementing immutable infrastructure using cloud environments, automation pipelines, and supporting components.

DevOpsReliabilitycloud computing

0 likes · 13 min read

Immutable Infrastructure: Concepts, Benefits, and Implementation Details

转转QA

Apr 25, 2018 · Operations

Design and Implementation of an Environment Management Platform for Testing Environments

This article analyzes common problems with testing environments in fast‑iterating internet companies, compares several deployment strategies, and presents a comprehensive environment management platform that automates resource allocation, service configuration, and host mapping to improve efficiency, stability, and resource utilization.

RPCTesting InfrastructureTomcat

0 likes · 9 min read

Design and Implementation of an Environment Management Platform for Testing Environments

Architecture Digest

Mar 2, 2016 · Operations

Scaling Service Architecture and Operations: Lessons from ChuYe's Engineering Practices

The article recounts ChuYe's evolution from a monolithic setup to a clustered micro‑service architecture, detailing the challenges of debugging, deployment, and monitoring, and describing the solutions implemented—including service clustering, automated deployment platforms, Docker usage, and comprehensive logging and audit systems—to improve agility and operational efficiency.

LoggingMicroservicesMonitoring

0 likes · 9 min read

Scaling Service Architecture and Operations: Lessons from ChuYe's Engineering Practices