Vitess security auditPRESENTS Vitess security audit In collaboration with the Vitess maintainers, Open Source Technology Improvement Fund and The Linux Foundation Authors Adam KorczynskiDavid Korczynski com> Date: June 5, 2023 This report is licensed under Creative Commons 4.0 (CC BY 4.0) Vitess Security Audit, 2023 Table of contents Table of contents 1 Executive summary 2 Notable findings 3 Project found 16 SLSA review 38 Conclusions 40 1 Vitess Security Audit, 2023 Executive summary In March and April 2023, Ada Logics carried out a security audit of Vitess. The primary focus of the audit was 0 码力 | 41 页 | 1.10 MB | 1 年前3
firebird metadata security ruзапроса на соединение процесс сервера удостоверяет пользователя по базе данных безопасности (security database). После успешного удостоверения сервер разрешает приложению (пользователю) произвести доступ безопасности, то даже хорошее шифрование становится немного больше, чем “безопасностью по неясности” (security by obscurity). 4.2.2. Ограничение распространения данных Некоторые просят шифровать данные базы “безопасности по неясности” Предлагаются и различные другие формы “безопасности по неясности” (security by obscurity). Например, специальные события, возникающие в моменты входа/подключения и отключения0 码力 | 21 页 | 156.51 KB | 1 年前3
Firebird File and Metadata SecurityFirebird File and Metadata Security Geoff Worboys Version 0.6, 30 June 2020 Table of Contents 1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 7. Acceptable Low Security . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . don’t know about Firebird, see this link: www.firebirdsql.org This article discusses the security of Firebird database files and in particular access to the metadata stored in those files. It has been written0 码力 | 19 页 | 115.27 KB | 1 年前3
firebird metadata security de0 码力 | 20 页 | 127.60 KB | 1 年前3
Using MySQL for Distributed Database Architectures© 2018 Percona. 1 Peter Zaitsev Using MySQL for Distributed Database Architectures CEO, Percona PingCAP Infra Meetup, Shanghai, China, May 26, 2018 © 2018 Percona. 2 About Percona Solutions of Thousands of Updates/Sec Traverse Tens of Millions of Rows/Sec Comfortably Handle Several TB Database size © 2018 Percona. 7 Lets Do Some Math 100.000 QPS 10 Queries per User Interaction 10 Paired with Replicated Data © 2018 Percona. 24 Where Replication Happens Storage Level Database Level Application Level © 2018 Percona. 25 Storage Level Replication Replication in SAN/NAS0 码力 | 67 页 | 4.10 MB | 1 年前3
Materialize MySQL Database engine in ClickHouseMaterializeMySQL Database engine in ClickHouse WinterZhang(张健) About me • Active ClickHouse Contributor • MaterializeMySQL Database Engine • Custom HTTP Handler • MySQL Database Engine • BloomFilter query MySQL Database Engine • Mapping to MySQL database • Fetch table list from MySQL • Fetch table struct from MySQL • Fetch data from MySQL when execute query MaterializeMySQL Database Engine • to MySQL database • Consume MySQL BINLOG and store to MergeTree • Experimental feature (20.8, recommend latest stable version) MaterializeMySQL Database Engine MaterializeMySQL Database Engine0 码力 | 35 页 | 226.98 KB | 1 年前3
Firebird Internals: Inside a Firebird DatabaseFirebird Internals Inside a Firebird Database Norman Dunbar Version 1.2, 13 August 2021 Table of Contents 1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2. Database Structure. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3. Standard Database Page Header. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 4. Database Header Page — Type 0x010 码力 | 63 页 | 261.00 KB | 1 年前3
TIDB The Large Scale Relational Database SolutionTIDB THE LARGE SCALE RELATIONAL DATABASE SOLUTION PRODUCT REVIEW 2022 Piloting tomorrow’s creativity https://www.iconic.inc Iconic Data Japan (IDJ) is a multi-national data services company that ICONIC DATA, DATATECH ICONIC DATA © ALL RIGHTS RESERVED. 1 AS A SOLUTION TIDB 2 TiDB is a new database solution that is targeted primarily to clients that need to handle very large databases, with very very large frequency of queries. If those two problems describe your business then this database solution is very attractive, as it also features a number of other features that make it stand out from0 码力 | 12 页 | 5.61 MB | 6 月前3
TiDB Database Auditing User Guide (new)Introduction 1 Differences between database auditing and the audit plugin 1 Obtain the database auditing feature 2 The range of database auditing 2 The events of database auditing 3 Recorded information 20 RESTRICTED_AUDIT_ADMIN 20 Migration from audit plugin to database auditing 20 TiDB Database Auditing User Guide Introduction Database auditing is an important feature in TiDB Enterprise Edition, analysis, thus ensuring the data security and compliance for enterprises. The database auditing feature can help managers in enterprises track the source and impact of database operations to ensure that data0 码力 | 23 页 | 328.42 KB | 1 年前3
PieCloudDB Database 产品白皮书iclrudpB 罗 罗 罗_ < B Database 本EMPP 基灿异并行计算) 的云原生虚拟数仓 产品白皮书 ENRANSGenpPie.com 20230penPieAIIRight Reserved, Openpie | PiecloudDB 基于eMPP (弹性大规模并行计算) 的云原生虚拟数仓 产品白皮书 行业背景 数据量的爆发式增长 数据库的未来在云上 传统数仓的痛点 ,2018 加 htps//wwwgartnercom/en/newsroom/press-releases/2019-07-01-gartner-says-the-future-of-the-database- marketis-the 160 码力 | 17 页 | 2.68 MB | 1 年前3
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