Didi Tech
Author

Didi Tech

Official Didi technology account

302
Articles
0
Likes
1.6k
Views
0
Comments
Recent Articles

Latest from Didi Tech

100 recent articles max
Didi Tech
Didi Tech
Jul 11, 2023 · Operations

DevOps Practices and Challenges at Didi Ride‑Hailing: From Development to Operations

Didi’s ride‑hailing R&D team addresses efficiency and stability challenges of a large micro‑service ecosystem by unifying a Go stack, common framework, and data models, using eBPF traffic recording for automated regression testing, and applying AIOps alert filtering, knowledge‑graph root‑cause analysis, and a localization robot for rapid fault recovery, while targeting full CI/CD automation with static analysis, service‑mesh observability, and chaos engineering.

AIOpsCloudNativemicroservices
0 likes · 22 min read
DevOps Practices and Challenges at Didi Ride‑Hailing: From Development to Operations
Didi Tech
Didi Tech
Jul 5, 2023 · Databases

Performance Optimization of ClickHouse: Identifying and Fixing High CPU Usage in BgMoveProcPool Threads

By adding a guard that skips the costly part‑scan in MergeTreePartsMover::selectPartsForMove when disk usage is below the threshold and no MoveTTL is set, Didi reduced BgMoveProcPool thread CPU consumption from about 30 % to under 4 %, halving overall node CPU load and improving ClickHouse’s PB‑scale performance.

BgMoveProcPoolCPUClickHouse
0 likes · 10 min read
Performance Optimization of ClickHouse: Identifying and Fixing High CPU Usage in BgMoveProcPool Threads
Didi Tech
Didi Tech
Jul 4, 2023 · Cloud Native

eBPF Technology and Its Application in Didi's Cloud-Native Observability: HuaTuo Platform Practice

eBPF, a safe, high‑performance Linux kernel extension evolving from the 1993 Berkeley Packet Filter to modern dynamic tracing, underpins Didi’s HuaTuo platform, which consolidates bytecode management, fast data processing, stability self‑healing, and container insight to solve traffic replay, topology, security, and root‑cause analysis challenges across cloud‑native services, with plans to broaden business use and community collaboration.

HuatuoRoot Cause Analysiscloud-native
0 likes · 12 min read
eBPF Technology and Its Application in Didi's Cloud-Native Observability: HuaTuo Platform Practice
Didi Tech
Didi Tech
Jun 27, 2023 · Artificial Intelligence

Highlights of the First Didi Industry-Academia Collaboration Forum and Gaia Lighthouse Project Awards (June 2023)

At a June 2023 forum in Beijing, Didi partnered with leading Chinese universities to showcase award‑winning projects that applied deep‑learning positioning, long‑term pricing models, high‑precision two‑wheel navigation, in‑vehicle voice separation, and data‑driven autonomous‑driving, illustrating how academia‑industry collaboration turns cutting‑edge research into commercial value.

Artificial IntelligenceAutonomous DrivingDidi
0 likes · 9 min read
Highlights of the First Didi Industry-Academia Collaboration Forum and Gaia Lighthouse Project Awards (June 2023)
Didi Tech
Didi Tech
Jun 14, 2023 · Big Data

Real-Time Data Development Practices and Component Selection at Didi

Didi’s unified real‑time data stack outlines best‑practice component choices for four key scenarios—metric monitoring, BI analysis, online services, and feature/tag systems—detailing pipelines from source to sink, resource‑usage guidelines, and a one‑stop development platform to build stable, high‑performance streaming solutions.

ClickHouseDruidFlink
0 likes · 17 min read
Real-Time Data Development Practices and Component Selection at Didi
Didi Tech
Didi Tech
Jun 13, 2023 · Operations

Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform

Didi balances ride‑hailing supply and demand by forecasting regional needs with time‑series and deep‑learning models, then optimally repositioning drivers through integer programming and refining policies via imitation and offline reinforcement learning, ultimately enhancing passenger experience and platform efficiency.

DidiImitation LearningRide Hailing
0 likes · 16 min read
Supply-Demand Dynamics and Regulation Techniques in Didi’s Ride-Hailing Platform
Didi Tech
Didi Tech
Jun 12, 2023 · Artificial Intelligence

Laser: Latent Surrogate Representation Learning for Long-Term Effect Estimation in Ride-Hailing Markets

Laser (Latent Surrogate Representation learning) estimates long‑term ride‑hailing market effects by inferring hidden surrogate variables from short‑term outcomes using an iVAE and inverse‑probability weighting, thereby reducing experiment cost and latency while achieving more accurate causal effect predictions than existing baselines.

IPWRide HailingUplift Modeling
0 likes · 9 min read
Laser: Latent Surrogate Representation Learning for Long-Term Effect Estimation in Ride-Hailing Markets
Didi Tech
Didi Tech
Jun 6, 2023 · Frontend Development

Mpx Framework Update and Development Progress

After five years of open-source development, Didi’s Mpx framework now powers all internal mini-programs and, thanks to recent upgrades such as composition-API standards, asynchronous sub-package builds, and built-in unit testing, offers a unified, high-performance solution for cross-platform mini-program and web development.

0 likes · 18 min read
Mpx Framework Update and Development Progress
Didi Tech
Didi Tech
May 26, 2023 · Big Data

Design and Optimization of Didi's Spatial‑Temporal Supply‑Demand System

Didi’s redesigned Spatial‑Temporal Supply‑Demand System replaces a single‑Redis bottleneck with a multi‑cluster routing layer, semantic sharding, multi‑level caching and delayed queues, achieving higher horizontal scalability, fault isolation, ~30 % latency reduction, increased cache hit rates, fewer query nodes, and faster, code‑free feature configuration.

Distributed Systemsconfiguration managementgolang
0 likes · 19 min read
Design and Optimization of Didi's Spatial‑Temporal Supply‑Demand System