uments/4/4/0/a/440a12114cae79eb25c0324a789ed254/p13_1.jpg) Read Compact 问题： CeresDB 监控写 OSS 耗时高， OSS 监控看耗时低。 ## 生产实践 - Mixed workload ![Image](/uploads/documents/4/4/0/a/440a12114cae79eb25c0324a789ed254/p14_1

|---| |2 CVEs assigned| |Formalisation of VTAdmins threat model| |3 fuzzers added to Vitess's OSS-Fuzz integration| ## Notable findings The most notable findings from the audit are “ADA-VIT-SA23-5 audit in 2020 which added coverage to complex text processing routines. Vitess is integrated into OSS-Fuzz which allows the fuzzers to run continuously and notify maintainers in case the fuzzers find bugs the source code for the Vitess fuzzers are the two key software packages that OSS-Fuzz uses to fuzz Vitess. The current OSS-Fuzz set up builds the fuzzers by cloning the upstream Vitess Github repository

projects to ensure continued security analysis, which is done by way of the open source fuzzing project OSS-Fuzz $ ^{1} $ . CNCF continues work in this space and will further increase investment to improve first integrating Dapr into OSS-Fuzz and add fuzzers for important API's of the Dapr eco system. At the end of the audit, all fuzzers are running continuously by way of OSS-Fuzz which will report if summarised39 fuzzers developedAll fuzzers added to Daprs OSS-Fuzz integrationFuzzing covers the Dapr Runtime, Kit and Components-Contrib

supports a diverse range of devices, and covers various application scenarios, and interfaces with other OSs such as OpenHarmony, achieving ecosystem interoperability through shared capabilities. With a unified architecture supporting all mainstream computing architectures, openEuler is one of the best open source OSs for diverse computing powers. It introduces the concept of the versatile-scenario OS, which achieves management of OSs is affected. • With applications being containerized, new challenges arise for OSs. Traditional OSs are too heavy and no longer fully applicable. • Containers and OSs are maintained

bbc22f/p3_1.jpg) S3 like API OSS kubernetes CSI / Storage Class CSI / Storage Class CurveFS HDFS API HDFS APPs POSIX API FUSE S3 like API Public cloud OSS ## Use Cases • Container • Database underlying storage in the cloud (AWS EBS, AWS S3, AWS Glacier, aliyun EBS, aliyun OSS) or on-prem (baremetal, HDFS, OSS) and turns it into container-native storage container service container service ta/ai) - CurveFS can manage different storages (HDFS, OSS, EBS) below • Apps access data by POSIX interface - Infrequent data is moved to OSS, and frequent data is moved to high speed storage transparently

jpg) ## 协调节点（Master Node） • 接收请求，制定分布式执行计划 计算组（Compute Groups） - 全并行分析计算 • 数据双副本存储 - 定期自动备份 OSS • 数据并行加载 ## AnalyticDB for PostgreSQL 公共云产品规格和实例选型： |【高性能】计算组|CPU/核|内存|用户数据空间| |---|---|---|---| 数据集成按天/小时 批量同步交易库数据ADBPG MySQL/PG/SQLServer/Oracle ->DataX/OSS ->ADBPG ## 3 ：大数据计算场景 同步MaxCompute/Hadoop数据，ADBPG做在线分析 大数据平台->DataX/OSS/Blink/->ADBPG ## 4 ：数据湖分析场景 数据按冷热分析，支持在线查询DSS分布式云存储上的格式化数据 3. AnalyticDB for PostgreSQL典型场景 4. AnalyticDB for PostgreSQL 未来演进 ## 冷热数据统一管理，基于OSS云存储构筑数据湖分析（规划中） ## 同一张分区表，按行/列/OSS分别 存储不同温度数据 ![Image](/uploads/documents/c/8/d/a/c8da7490ed438c168c9dd30fc6b7f850/p19_2

rowspan="3">数据存储HDFS 文件系统MaxCompute 存储(仅开放表数据存储)对象存储OSS 对象存储EMR HDFS批处理Hadoop MapReduceMaxCompute 副本冗余，数据存储对外仅开放表的操作接口，不提供文件系统访问接口自研数据存储结构，表数据列式存储，默认高度压缩，后| |||续将提供兼容 ORC 的 Ali-ORC 存储格式 支持外表，将存储在 OSS 对象存储、OTS 表格存储的数据映射为二维表 支持 Partition、Bucket 的分区、分桶存储 更底层不是 HDFS，是阿里自研的盘古文件系统，但可借助 HDFS 理解对应的表之下文件的体系结构、任务并发机制 开源系统的使用体验：Spark-submit 提交方式（暂不支持 spark-shell/spark-sql 的交互式），提供原生的 Spark WebUI 供用户查看； * 通过访问 OSS、OTS、database 等外部数据源，实现更复杂的 ETL 处理，支持对 OSS 非结构化进行处理； * 使用 Spark 面向 MaxCompute 内外部数据开展机器学习，扩展应用场景；| |---|---|---| |机器学习|PAI|MaxCompute

container solution reduces the memory overhead and boot time by 40%. - Dual-plane deployment tool eggo: OSs can be installed with one click for ARM and x86 hybrid clusters, while deployment of a 100-node cluster infrastructure. Major OS vendors have launched their OSs for cloud native scenarios, including Red Hat Enterprise Linux CoreOS (RHCOS) and AWS Bottlerocket. These OSs are deployed and managed in containers, and adapt to this trend, openEuler has launched KubeOS, an OS that centrally manages cloud-native cluster OSs in containers. KubeOS has the following features: • OS containerization and Kubernetes interconnection

If you must use OSS - Go for OSS that has fuzz testing integrated • Ensure they have good code Maintenance ☐ Check if security bugs are addressed in a timely manner • Host your own OSS internal repo to list of security vetted parsers (JSON, XML, etc) • Call to Action: Owners of OSS should onboard to a fuzzing service (OSS-Fuzz) ## I solation • Untrusted Process – Parsing Out-of-Process • Sandboxing What the Fuzz) • Structure Aware Fuzzing (libprototbuf-mutator) Fuzzing as a Service (OneFuzz, OSS-Fuzz) ## Libfuzzer and ASan ## The bar is not high, write simple function: FUZZ_EXPORT int __cdecl