3.1 Post-process versus in-line deduplicationįor example, a typical email system might contain 100 instances of the same 1 MB ( megabyte) file attachment.Whereas compression algorithms identify redundant data inside individual files and encodes this redundant data more efficiently, the intent of deduplication is to inspect large volumes of data and identify large sections – such as entire files or large sections of files – that are identical, and replace them with a shared copy. While possible to combine this with other forms of data compression and deduplication, it is distinct from newer approaches to data deduplication (which can operate at the segment or sub-block level).ĭeduplication is different from data compression algorithms, such as LZ77 and LZ78. Ī related technique is single-instance (data) storage, which replaces multiple copies of content at the whole-file level with a single shared copy. Given that the same byte pattern may occur dozens, hundreds, or even thousands of times (the match frequency is dependent on the chunk size), the amount of data that must be stored or transferred can be greatly reduced. Whenever a match occurs, the redundant chunk is replaced with a small reference that points to the stored chunk. These chunks are identified and stored during a process of analysis, and compared to other chunks within existing data. The deduplication process requires comparison of data 'chunks' (also known as 'byte patterns') which are unique, contiguous blocks of data. It can also be applied to network data transfers to reduce the number of bytes that must be sent. Successful implementation of the technique can improve storage utilization, which may in turn lower capital expenditure by reducing the overall amount of storage media required to meet storage capacity needs. In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page.Data processing technique to eliminate duplicate copies of repeating data The Linux Foundation has registered trademarks and uses trademarks. © Prometheus Authors 2014-2022 | Documentation Distributed under CC-BY-4.0 Please help improve it by filing issues or pull requests. It's important not to load balance traffic between Prometheus and its Alertmanagers, but instead, point Prometheus to a list of all Alertmanagers. This can be configured using the -cluster-* flags. High AvailabilityĪlertmanager supports configuration to create a cluster for high availability. Those are only relevant for advanced use cases where Prometheus The Alertmanager has special requirements for behavior of itsĬlient. Silences are configured in the web interface of the Alertmanager. If they do, no notifications will be sent out for that alert. IncomingĪlerts are checked whether they match all the equality or regular expression Silences are a straightforward way to simply mute alerts for a given time.Ī silence is configured based on matchers, just like the routing tree. Inhibitions are configured through the Alertmanager's configuration file. This prevents notifications for hundreds or thousands of firing alerts that This cluster if that particular alert is firing. Alertmanager can be configured to mute all other alerts concerning Inhibition is a concept of suppressing notifications for certain alerts ifĮxample: An alert is firing that informs that an entire cluster is not Of those notifications are configured by a routing tree in the configuration Grouping of alerts, timing for the grouped notifications, and the receivers Thus one can configureĪlertmanager to group alerts by their cluster and alertname so it sends a As a result hundreds ofĪs a user, one only wants to get a single page while still being able to seeĮxactly which service instances were affected. Instance if it cannot communicate with the database. Half of your service instancesĪlerting rules in Prometheus were configured to send an alert for each service Hundreds to thousands of alerts may be firing simultaneously.Įxample: Dozens or hundreds of instances of a service are running in yourĬluster when a network partition occurs. Is especially useful during larger outages when many systems fail at once and Grouping categorizes alerts of similar nature into a single notification.
#Deduplicator mac how to#
The configuration documentation to learn how to use them The following describes the core concepts the Alertmanager implements. It also takes care of silencing and inhibition of alerts. Them to the correct receiver integration such as email, PagerDuty, or OpsGenie. It takes care of deduplicating, grouping, and routing Sent by client applications such as the Prometheus server.
0 kommentar(er)
