squarespace outage

Sometimes the computer is like a sense of its own, a plug in the power to start their own, often scary jump. Computer host a plug in the power will be automatically turned on, because the motherboard BIOS set up the caller's own boot. Different bios, set the method is not the same, the following list several: Enter the Power Management Setup (source management settings) →power Again (re-caller status), which determines the power supply when power is restored, after an accidental po

, except the monitoring Center, the registration center through the presence of long-connection-aware service providers, service providers down, the registry will immediately push events to notify consumers. The Registry and Monitoring Center are all down, without impacting the already running providers and consumers, who cache the provider list locally. Registries and monitoring centers are optional and service consumers can connect directly to service providers (2) Jian-like sex: Monitoring Ce

Linux distributions do not use the barrier=1 option and do not disable write caching, so many Linux distributions are vulnerable to this problem. Note that this is an operating system and hardware problem, SQLite is powerless, other database engine also has this problem.If a crash or power outage occurs, a hot log is generated, but the hot log is deleted. The next process opens the database without knowing that the database needs to be rolled back an

first Data _id:10 is a unique key, and then insert the same data can not be inserted, Two IDs cannot be the same). No error message was returned to the client because {writeconcern:{w:0}} caused an exception to occur.2) when W:1 is acknowledgedTesting (data loss scenarios occur)When W:1, it solves the problem that w:0 appears, from can see the first data insert succeeds, the remaining 9 data will insert to fail and return error message to the client.However, when W:1, MongoDB will return the in

read services, and increasing the secondary node can provide the read service capability of the replica set while increasing the availability of the replica set. In addition, MONGODB supports flexible configuration of the secondary nodes of the replica set to accommodate the needs of a variety of scenarios. Arbiter The Arbiter node only participates in voting, cannot be selected as primary, and does not synchronize data from primary. For example, if you deploy a 2-node replica set, 1 primary,1

block of all rows affected by the sql statement is read into DB buffer and the redo information is written to redo log buffer (only the log buffers, not the log files), The user can send a commit command,commit trigger the LGWR process, but does not force an immediate DBWR to release all the corresponding DB buffer blocks (that is, no-force-at-commit, commits are not forced to write), which means that there is Although it may have been a commit, dbwr is still writing the block of data involved

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

-tengine, two software are open source; the rear end is ECS. In general, a business deployment in two or more than two ECS-VM above, we recommend that you choose SLB to do load balancing. Whether it is lvs-four layer or tengine seven layer, we load balance is cluster, there will be redundancy, a downtime for the user has no impact. SLB in Hangzhou region also has a lot of idc-data centers, the same VIP can be in IDC1 and IDC2, once the IDC1 down to switch to IDC2, that is, to achieve the redunda

sampled data database outage, the registry can still provide a list of services through the cache query, but can not register the new service registry peer cluster, any one outage, will automatically switch to another registry after all the outage, Service providers and service consumers will still be able to use the local cache communication service provider st