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DataFunSummit
DataFunSummit
May 18, 2026 · Cloud Native

How AI Is Redefining Cloud‑Native Databases: The Serverless Elasticity and Evolution of TDSQL‑C

The article outlines how Tencent Cloud's TDSQL‑C tackles the four core pain points of traditional databases—elasticity, tuning difficulty, cost waste, and operational complexity—by adopting a storage‑compute‑separated, Serverless architecture, AI‑driven predictive scaling, a self‑learning optimizer, and the AI Navigator management system, delivering up to 30% performance gains and 20% cost reduction in real‑world use cases.

AI optimizerHermes AgentServerless
0 likes · 13 min read
How AI Is Redefining Cloud‑Native Databases: The Serverless Elasticity and Evolution of TDSQL‑C
Tencent Database Technology
Tencent Database Technology
Aug 10, 2023 · Databases

Optimizing Buffer Pool Memory Management in TDSQL-C Serverless

This article explains the architecture of TDSQL-C Serverless buffer pool, details how InnoDB buffer pool resize works, analyzes performance bottlenecks such as IO and mutex contention, and presents optimization techniques like chunk pre‑allocation, delayed release, and hash‑resize improvements that make serverless scaling more stable.

Memory ManagementServerlessTDSQL-C
0 likes · 11 min read
Optimizing Buffer Pool Memory Management in TDSQL-C Serverless
Tencent Database Technology
Tencent Database Technology
Jan 31, 2023 · Databases

Common MySQL OOM Scenarios and TDSQL‑C Memory Optimization Strategies

This article examines typical MySQL out‑of‑memory (OOM) situations in production, explains how to diagnose memory usage with Performance Schema and other tools, and presents a series of TDSQL‑C‑specific optimization techniques—including server‑parameter tuning, process‑list monitoring, cold‑page detection, buffer‑pool limits, and dynamic resizing—to mitigate OOM risks.

Database PerformanceMemory OptimizationOOM
0 likes · 12 min read
Common MySQL OOM Scenarios and TDSQL‑C Memory Optimization Strategies
ITPUB
ITPUB
Dec 29, 2022 · Databases

How TDSQL‑C Accelerates Parallel Queries in Cloud‑Native Databases

This transcript details the design, implementation, and performance evaluation of TDSQL‑C's parallel query feature, covering product background, workload challenges, execution plans, Amdahl's law analysis, task scheduling, data partitioning, and future enhancements for cloud‑native database systems.

Amdahl's LawData PartitioningParallel Query
0 likes · 17 min read
How TDSQL‑C Accelerates Parallel Queries in Cloud‑Native Databases
Tencent Database Technology
Tencent Database Technology
Dec 31, 2021 · Databases

Practices and Exploration of Disaster Recovery in Cloud‑Native Database TDSQL‑C (formerly CynosDB)

This article examines the architecture differences between traditional MySQL and the cloud‑native TDSQL‑C database, outlines MySQL disaster‑recovery deployment models, and details TDSQL‑C’s multi‑dimensional disaster‑recovery system, including its agent‑scheduler design, cross‑AZ switching challenges, and mitigation strategies.

TDSQL-Ccloud-native databasedisaster recovery
0 likes · 10 min read
Practices and Exploration of Disaster Recovery in Cloud‑Native Database TDSQL‑C (formerly CynosDB)
Tencent Architect
Tencent Architect
Dec 30, 2021 · Databases

Practices and Exploration of Disaster Recovery in Tencent Cloud‑Native Database TDSQL‑C (formerly CynosDB)

This article examines the architecture differences between cloud‑native TDSQL‑C and traditional MySQL, outlines TDSQL‑C’s elastic, serverless, low‑latency features, compares MySQL disaster‑recovery models, and details the multi‑dimensional disaster‑recovery system and its cross‑AZ/Region challenges and solutions.

TDSQL-Ccloud-native databasedisaster recovery
0 likes · 9 min read
Practices and Exploration of Disaster Recovery in Tencent Cloud‑Native Database TDSQL‑C (formerly CynosDB)
Tencent Architect
Tencent Architect
Jun 17, 2021 · Fundamentals

The Importance, Challenges, and Best Practices of Code Review in TDSQL‑C

This article explains why code review is critical, outlines its benefits and common difficulties, describes the TDSQL‑C distributed database architecture, and presents a detailed code‑review workflow, author and reviewer responsibilities, commit conventions, and cultural practices to improve software quality and reliability.

Code reviewSoftware EngineeringTDSQL-C
0 likes · 11 min read
The Importance, Challenges, and Best Practices of Code Review in TDSQL‑C
Tencent Architect
Tencent Architect
May 28, 2021 · Cloud Native

Exploring Tencent Cloud Native Database TDSQL-C Architecture and Practices

The presentation at SACC2021 detailed the background, architecture, performance, reliability, and future development directions of Tencent's cloud‑native distributed database TDSQL‑C, highlighting its compute‑storage separation, serverless elasticity, high QPS capability, and advanced fault‑tolerance mechanisms.

ScalabilityTDSQL-Ccloud-native
0 likes · 6 min read
Exploring Tencent Cloud Native Database TDSQL-C Architecture and Practices
Tencent Cloud Developer
Tencent Cloud Developer
May 14, 2021 · Cloud Native

Exploration and Practice of Tencent Cloud Native Database TDSQL-C Architecture

Tencent’s cloud‑native database TDSQL‑C separates compute and storage, offering petabyte‑scale network‑attached storage, automatic scaling, million‑level QPS, MySQL/PostgreSQL compatibility, serverless per‑use billing, two‑level caching, instant snapshot‑based backup and restore, and a roadmap toward ultra‑minimal operations, multi‑region DR and column‑store analytics.

Database ArchitectureTDSQL-Ccloud database
0 likes · 16 min read
Exploration and Practice of Tencent Cloud Native Database TDSQL-C Architecture