HUAWEI CLOUD Microservice Tool Improves Development Efficiency Department: Application Platform Service Author: Wang Qijun Date: 2019-09-20 Security Level: Contents 1. Tool for Splitting Monolithic application-level formal verification Tool for Splitting Monolithic Applications into Microservices Improves Development Efficiency Supported processes Methodology • ThoughtWorks 5 Steps and 1 Phase

configuration file. • Multi-link aggregation, covering NIC ports, NICs, and nodes, significantly improves host access performance. • Notably, eNFS is the industry's first protocol to offer active-active HPCRunner, an HPC deployment tuning assistant that significantly reduces deployment costs and improves optimization efficiency. Project Introduction HPCRunner is composed of two parts: HPC dependency to fully utilize components such as the CPUs, cache, memory, and I/O peripherals. This feature improves system hardware utilization and memory bandwidth, while reducing memory, cache, and peripheral

load balancing algorithm decreases the overheads caused by load balancing between processes and improves application performance. Optimized huge page vmalloc performance: When calling vmalloc() to allocate virtual address, avoiding the need for replicating resources between hosts and devices. SVA improves service communication performance across hosts and devices. openEuler 21.09 Technical White Paper dual-view counting: This mechanism reduces metadata synchronization overheads and effectively improves the read and write performance of a file system. • Dependency tracing: Directory entry operations

buffers and bringing about a substantial improvement in TCP performance. 9. MultiPath TCP: It improves performance and reliability in mobile and data scenarios. MultiPath TCP supports concurrent time-consuming operations such as fsync and delivers a better performance. 11. dm-writecache: It improves the sequential write performance of large solid-state drive (SSD) blocks and the performance subsystem enhancement: StratoVirt provides the multi-channel concurrent I/O capability. I/O-QoS improves the flexibility and stability of I/O traffic management on VMs. • System call filtering: With

6 std::make_unique() … … improves exception safety; … fulfills the Single-Responsibility Principle (SRP); … is a factory function.7 std::make_unique() … … improves exception safety; … fulfills C++1715 std::make_unique() … … improves exception safety; … fulfills the Single-Responsibility Principle (SRP); … is a factory function.16 std::make_unique() … … improves exception safety; … fulfills std26 std::make_unique() … … improves exception safety; … fulfills the Single-Responsibility Principle (SRP); … is a factory function.27 std::make_unique() … … improves exception safety; … fulfills

time by caching more �→ execution plans in memory, decreasing overall SQL execution time. It �→ improves OLTP performance and throughput while providing better �→ control over memory usage and enhancing determines the concurrency of �→ scanning tasks based on node scale and hardware specifications. This �→ improves statistics collection efficiency by fully utilizing system �→ resources, reduces manual tuning, statements and client statement cache. This reduces the cost of TiDB SQL parsing and compilation, improves SQL execution efficiency, and increases the likelihood of hitting the execution plan cache, thereby

time by caching more �→ execution plans in memory, decreasing overall SQL execution time. It �→ improves OLTP performance and throughput while providing better �→ control over memory usage and enhancing determines the concurrency of �→ scanning tasks based on node scale and hardware specifications. This �→ improves statistics collection efficiency by fully utilizing system �→ resources, reduces manual tuning, statements and client statement cache. This reduces the cost of TiDB SQL parsing and compilation, improves SQL execution efficiency, and increases the likelihood of hitting the execution plan cache, thereby

between nodes. This optimization helps to reduce the �→ execution time for certain SQL queries and improves the overall �→ database performance. Reliability and Availability 0 码力 | 6606 页 | 109.48 MB | 9 月前

3

snapshot restores for clusters. In clusters �→ with many TiKV nodes, this algorithm significantly improves cluster �→ resource efficiency by more evenly distributing load across nodes and �→ better utilizing Follower", �→ which allows PD followers to provide Region information query �→ services. This feature improves the capability of the PD cluster to �→ handle GetRegion and ScanRegions pressure on the PD leader. For more information, see documentation. 2.2.1.2 Performance • BR improves snapshot restore speed by up to 10 times (experimental) #33937 #49886 @3pointer As a TiDB cluster

the optimal TiDB node to execute database operations. This optimizes �→ overall resource usage, improves cluster performance, and increases �→ throughput. DB Operations and Observability 0 码力 | 6549 页 | 108.77 MB | 9 月前

3