aws high availability patterns multi region architecture

Fault Tolerance and high availability application architecture based on AWS cloud services AWS provides reliable, fault-tolerant, and highly available system infrastructure and services built on the cloud. Special attention from developers is required. These features have b

, AMI replication Block Storage Replication tool (Common tools: Rsync, Xcopy, robcopy) Route53, autoscaling Cross-region RDS and MySQL replicas Establish a cross-region master-master database (database comes with tools: MySQL multi-master, MS SQL always on Cluster, Oraclemulti-master) 3.7 AWS Stora

appropriate architecture design: · Amazon EC2 · Amazon EBS · Amazon RDS · Amazon VPC For EC2 instances, the availability of a single instance is not particularly high. If an instance fails, the availability of applications and data supported by the instance will be affected, therefore, the

application on 3 (that is, 3 generates Binlog), for 3 (at this time as a MySQL server 2 Slave) data that is replicated in 2 (as the master of MySQL server 3) cannot be copied to server 4.Iii.Circular Copy Local generation of data repeat write problemIs the above three unresolved problems, Jeremy in "High performance MySQL" in the entire chapter content almost into imagination.I believe that today's MySQL 5The design must have absorbed the idea of Jer

Without the idea of design, you cannot become an architect. The architect is a good piece of code, drawing a beautiful uml/prototype, wrote a technical document, more to solve the project key technology of the comprehensive talent. Architect = Front-end engineer + back-end Programmer + System Analyst + Key Technology Solutions + various technology collocation + design mode + deployment tuning + other, visible architects are generalists, and play a key role in connection management and project me

: Distributed File System Fastdfs detailed) 3. Distributed File System Moosefs 4. glusterfs File System and configure load balancing, and also solve the problem of single point of failure, for the database server made a certain architectural adjustment for the dual-master multi-Slave architecture, for the database of a variety of high-

complete the update when a read request, read the empty cache, you can first send the cache after the updated request to the queue after the queue, the backlog of queues, and then synchronize to wait for the cache update to complete,"Cache Avalanche Solution"Redis cluster burst, cache service a large number of requests for redis waiting, occupy resources, and then the cache service a large number of requests into the source service to query the DB, so that the db pressure is too large until the

Master A problem, how does the application automatically turn the request to Master B? In fact, we just need to set up a VIP through the corresponding hardware devices such as F5 or cluster management software such as Heartbeat, which normally points to master A, and once the exception crash in master A is automatically switched to Maste R B, the application of the front end has access to Master through this VIP. This solves the IP switching problem of the application and ensures that the appli

session server cluster, the master backup synchronization, so that it achieves a better effect, the implementation can be used redies,memcached and other cache middleware.System Architecture Diagram:conclusion : Load balancing has a minimum of 2 advantages1. Multi-point deployment, solve single point of failure problem, improve the usability of the website2. Ability to improve system performance by leverag

. If necessary, you may even need to switch all Slave instances to Master B before changing Master B.Of course, even so, due to the VIP switching between Master A and Master B, we still have the situation that applications cannot perform write operations in A short period of time. Therefore, this solution can only solve the problem of MySQL online DDL to a certain extent. In addition, when the number of clusters is large and each cluster has a large number of nodes, the entire operation process

Large site Architecture Features: 1. High concurrency? (large number of user visits)Solution: Split system, service, message middleware, caching, concurrencyHigh Concurrency Design principlesSystem design not only need to consider the realization of business functions, but also to ensure that the system high concurrency, high