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Tencent TDS Service
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Tencent TDS Service

TDS Service offers client and web front‑end developers and operators an intelligent low‑code platform, cross‑platform development framework, universal release platform, runtime container engine, monitoring and analysis platform, and a security‑privacy compliance suite.

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Recent Articles

Latest from Tencent TDS Service

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Tencent TDS Service
Tencent TDS Service
Dec 5, 2019 · Game Development

How Tencent’s WeTest Elevates Game Quality with Cloud‑Based Testing and AI Insights

Tencent’s WeTest platform, now rebranded and expanded internationally, offers developers a comprehensive suite of cloud‑based testing, performance monitoring, AI‑driven analysis, and industry‑standard tools that bridge technical and design quality, helping game and app creators deliver higher‑quality products worldwide.

AI AnalyticsDevOpscloud testing
0 likes · 17 min read
How Tencent’s WeTest Elevates Game Quality with Cloud‑Based Testing and AI Insights
Tencent TDS Service
Tencent TDS Service
Apr 4, 2019 · Databases

Understanding Redis Persistence: RDB vs AOF Explained

This article provides a detailed analysis of Redis's two persistence mechanisms—RDB snapshots and AOF logging—covering their core concepts, implementation details, trigger conditions, data safety, performance impact, and recovery speed to help engineers choose the appropriate method for their workloads.

AOFPersistenceRDB
0 likes · 11 min read
Understanding Redis Persistence: RDB vs AOF Explained
Tencent TDS Service
Tencent TDS Service
Mar 28, 2019 · Mobile Development

How to Harden Android Apps: Anti‑Debugging Techniques for Java & NDK

This article explains practical anti‑debugging methods for Android applications—covering Java tools like Proguard and debugger checks, as well as NDK strategies such as ptrace, file‑node monitoring, Inotify, SO hash verification, and timing analysis—to raise reverse‑engineering difficulty.

AndroidAnti-debuggingNDK
0 likes · 7 min read
How to Harden Android Apps: Anti‑Debugging Techniques for Java & NDK
Tencent TDS Service
Tencent TDS Service
Mar 7, 2019 · Fundamentals

Master OpenGL Basics: Contexts, Buffers, Textures, and Shaders Explained

This comprehensive guide walks developers through OpenGL fundamentals—including contexts, framebuffers, attachments, textures, vertex and index buffers, shader programs, per‑fragment operations, and buffer swapping—providing clear explanations and visual diagrams to help beginners grasp modern graphics programming.

BuffersGraphicsOpenGL
0 likes · 17 min read
Master OpenGL Basics: Contexts, Buffers, Textures, and Shaders Explained
Tencent TDS Service
Tencent TDS Service
Dec 6, 2018 · Mobile Development

Why IMP Calls Crash on ARM64 iOS: Uncovering Variadic ABI Pitfalls

This article investigates a crash caused by calling IMP pointers on ARM64 iOS devices, explains how variadic function argument passing differs from the standard ABI, demonstrates the issue with test code and assembly analysis, and provides a solution by explicitly casting IMP to the correct function type.

ABIARM64IMP
0 likes · 16 min read
Why IMP Calls Crash on ARM64 iOS: Uncovering Variadic ABI Pitfalls
Tencent TDS Service
Tencent TDS Service
Jul 12, 2018 · Artificial Intelligence

How to Engineer MobileNet for Efficient Image Classification on Mobile Devices

This article details the engineering of MobileNet V1 for image classification on mobile terminals, covering its depthwise separable convolution architecture, data collection and preprocessing, model training with transfer learning, TensorFlow Lite conversion, deployment on iOS/Android, and GPU acceleration techniques for faster inference.

Deep LearningGPU accelerationMobileNet
0 likes · 19 min read
How to Engineer MobileNet for Efficient Image Classification on Mobile Devices
Tencent TDS Service
Tencent TDS Service
Jun 7, 2018 · Artificial Intelligence

Upgrading HED Edge Detection to TensorFlow 1.7: Refactored Code and New Layer Techniques

This tutorial walks through rewriting the HED edge‑detection network for TensorFlow 1.7, covering deprecated API fixes, migration from TF‑Slim to tf.layers, matrix initialization, batch normalization nuances, and a comprehensive review of convolution variants such as 1×1, depthwise, separable, and dilated convolutions, plus guidance on transposed convolutions and modern architectures like ResNet and Inception.

CNNConvolutionDeep Learning
0 likes · 24 min read
Upgrading HED Edge Detection to TensorFlow 1.7: Refactored Code and New Layer Techniques