 Using MySQL for Distributed Database ArchitecturesBuilt-in Failover © 2018 Percona. 37 Advanced MySQL Replication Topologies © 2018 Percona. 38 PMM Dashboard for Replication © 2018 Percona. 39 MySQL Group Replication © 2018 Percona. 40 MySQL 7 Performance Improvements http://bit.ly/2qGCr0T and http://bit.ly/2pzvAIW © 2018 Percona. 46 PMM Dashboard for PXC © 2018 Percona. 47 MySQL Cluster Mostly In Memory Storage Synchronous Replication PXC node 1 PXC node 2 PXC node 3 5 7 ProxySQL ProxySQL ProxySQL © 2018 Percona. 58 ProxySQL at PMM © 2018 Percona. 59 Cloud Only Options •Amazon RDS •Amazon Aurora •Google Cloud SQL •Azure Database0 码力 | 67 页 | 4.10 MB | 1 年前3 Using MySQL for Distributed Database ArchitecturesBuilt-in Failover © 2018 Percona. 37 Advanced MySQL Replication Topologies © 2018 Percona. 38 PMM Dashboard for Replication © 2018 Percona. 39 MySQL Group Replication © 2018 Percona. 40 MySQL 7 Performance Improvements http://bit.ly/2qGCr0T and http://bit.ly/2pzvAIW © 2018 Percona. 46 PMM Dashboard for PXC © 2018 Percona. 47 MySQL Cluster Mostly In Memory Storage Synchronous Replication PXC node 1 PXC node 2 PXC node 3 5 7 ProxySQL ProxySQL ProxySQL © 2018 Percona. 58 ProxySQL at PMM © 2018 Percona. 59 Cloud Only Options •Amazon RDS •Amazon Aurora •Google Cloud SQL •Azure Database0 码力 | 67 页 | 4.10 MB | 1 年前3
 Code Analysis++About me – ● Anastasia Kazakova, @anastasiak2512 ● C++ Dev: Embedded, Networking ● C++ Tools PMM and .NET Tools Marketing Lead, JetBrains ● St. Petersburg C++ UG: https://www.meetup.com/St-Petersburg-CPP-User-0 码力 | 61 页 | 2.70 MB | 6 月前3 Code Analysis++About me – ● Anastasia Kazakova, @anastasiak2512 ● C++ Dev: Embedded, Networking ● C++ Tools PMM and .NET Tools Marketing Lead, JetBrains ● St. Petersburg C++ UG: https://www.meetup.com/St-Petersburg-CPP-User-0 码力 | 61 页 | 2.70 MB | 6 月前3
 The Vitess 8.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 331 页 | 1.35 MB | 1 年前3 The Vitess 8.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 331 页 | 1.35 MB | 1 年前3
 The Vitess 9.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 417 页 | 2.96 MB | 1 年前3 The Vitess 9.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 417 页 | 2.96 MB | 1 年前3
 The Vitess 11.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 481 页 | 3.14 MB | 1 年前3 The Vitess 11.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 481 页 | 3.14 MB | 1 年前3
 The Vitess 10.0 Documentation
To obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 455 页 | 3.07 MB | 1 年前3 The Vitess 10.0 Documentation
To obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 455 页 | 3.07 MB | 1 年前3
 The Vitess 12.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 534 页 | 3.32 MB | 1 年前3 The Vitess 12.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 534 页 | 3.32 MB | 1 年前3
 OpenShift Container Platform 4.13 网络openshift-ingress NAME READY STATUS RESTARTS AGE router-default-7b5df44ff-l9pmm 2/2 Running 0 17h router-default-7b5df44ff-s5sl5 2/2 Running 0 3d22h0 码力 | 697 页 | 7.55 MB | 1 年前3 OpenShift Container Platform 4.13 网络openshift-ingress NAME READY STATUS RESTARTS AGE router-default-7b5df44ff-l9pmm 2/2 Running 0 17h router-default-7b5df44ff-s5sl5 2/2 Running 0 3d22h0 码力 | 697 页 | 7.55 MB | 1 年前3
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