akamai outage

Tags: impact no structure. com database remote failover domestic avoidance1. Overview When we consider the highly available architecture of the MySQL database, we mainly consider the following aspects: If the database is down or an unexpected outage, and so on, can restore the availability of the database as soon as possible to reduce downtime, to ensure that the business will not be interrupted due to database failure. Data for non-prim

Chapter 1th IntroductionWith the widespread popularization of Internet application, the storage and access of massive data has become the bottleneck problem of system design. For a large-scale Internet application, billions of of PV per day is undoubtedly a very high load on the database. The stability and scalability of the system caused great problems. With data slicing to improve site performance, scaling out the data layer has become the preferred way for architects to develop. Hori

Chapter 1th IntroductionWith the widespread popularization of Internet application, the storage and access of massive data has become the bottleneck problem of system design. For a large-scale Internet application, billions of of PV per day is undoubtedly a very high load on the database. The stability and scalability of the system caused great problems. With data slicing to improve site performance, scaling out the data layer has become the preferred way for architects to develop. Hori

Tags: fault tolerance includes manual free way log monitoring is established orChapter 1th IntroductionWith the widespread popularization of Internet application, the storage and access of massive data has become the bottleneck problem of system design. For a large-scale Internet application, billions of of PV per day is undoubtedly a very high load on the database. The stability and scalability of the system caused great problems. With data slicing to improve site performance, scaling out the d

and the outage occurs;To be able to recover data, the current transactional database generally takes the write ahead log policy (when a transaction commits, writes the redo log first, and then refreshes the dirty page to disk); When the outage occurs, the data can be recovered to a point in time by redo log; Since the size of the buffer pool is limited, the log file cannot be enlarged infinitely; So t

library server Master principle MySQL master-slave replication principle650) this.width=650; "src="/e/u261/themes/default/images/spacer.gif "style=" Background:url ("/e/u261/lang/zh-cn/ Images/localimage.png ") no-repeat center;border:1px solid #ddd;" alt= "Spacer.gif"/>650) this.width=650; "Src=" http://images2015.cnblogs.com/blog/820365/201608/820365-20160821160615776-1749314661. PNG "style=" border:0px; "/>Generate two threads from the library, one I/O thread, and one SQL thread;T

, once per second Fsync , or Fsync each time a write command is executed. The default policy for AOF is Fsync once per second, in which Redis can still maintain good performance and, even if there is a failure, it will lose at most one second of data (Fsync will execute in a background thread, so the main thread can continue to work on the command request). The AOF file is an append-only log file (append only), so the write to the AOF file does not require seek, even if the log contains incomple

, and the weekly downtime allowed.650) this.width=650; "title=" clipboard "style=" Border-top:0px;border-right:0px;background-image:none; border-bottom:0px;padding-top:0px;padding-left:0px;border-left:0px;padding-right:0px, "border=" 0 "alt=" clipboard "Src=" Http://img1.51cto.com/attachment/201407/6/639838_1404611946XiqH.png "height=" 399 "/>==============================================================Extended knowledgeRPO (Recovery point Object)Refers to a past point in time when a disaster o

power outage or restart, downtime and other special problems, the quorum server is the primary server after the outage, automatically select a slave server as the primary server. I don't know what I'm saying.The above is a few problem description, the following to start the deployment step please everyone and I set the same folder.1, because my program is placed under E:\TOOLS\MONGDB, so first open cmd and

log data will go first to the Linux OS Cache data to disk) has a certain impact on redis, to ensure the integrity of the data, redis through the rewrite mechanism to ensure that the AoF file is not too large, based on memory data and to achieve appropriate command reconstructionII: Redis ClusterReplicationOne master many from the schema, the master node is responsible for writing, and the data is synchronized to other Salve nodes (asynchronous execution) from the node is responsible for reading

, core switch broken, switch loop (see log)2 , Large area on the netRouter, ISP, core switch, ARP virus spoofing gateway, gateway address occupied, Ldns problemThe core switch is broken, the switch loop2, customers reflect the opening of the site slow, how to wrong?1 , Ping your website to see if the line is unblockedCan ping through, do not lose packets. HTTP Service issues (service outage, service overloaded)Can ping pass, drop packet. The room band

understanding of interruptions is the handling of some special things.A concept that is closely linked to interrupts is the interrupt handler. When interrupts occur, the system needs to process interrupts, and the processing of these interrupts is performed by a specific function in the operating system kernel, which is what we call an interrupt handler for this particular function.Another concept that is closely linked to interrupts is the priority of interrupts. The priority of the interrupt

Kafka does not provide a high availablity mechanism in previous versions of 0.8, and when one or more broker outages, all partition on the outage cannot continue to provide services. If the broker can never be restored, or if a disk fails, the data on it will be lost. And Kafka's design goal is to provide data persistence, at the same time for the distributed system, especially when the cluster size rise to a certain extent, one or more machines down