qradar vs splunk

yourself using timed tasks to delete data from a table that is valid for only one hour, day, or weeks, you are not looking for the right way to do things. Using Redis,statsd/graphite, Riak, they are all more appropriate tools for doing this kind of thing. This recommendation also applies to data collected for those short life periods.Of course, it's also possible to plant potatoes in the back garden with an excavator, but it's much slower than taking a shovel out of a storage room, booking an e

--redis and Rabbit mq--as well as off-the-shelf memory databases. Case The following illustration gives you a general idea of Spring XD. The Spring XD Team believes that there are four main use cases created for creating large data solutions: data absorption, real-time analysis, workflow scheduling, and export. Data absorption provides the ability to receive data from a variety of input sources and transfer it to large data repositories, such as HDFs (Hadoop file system),

challenges such as storage, security, and monitoring. In the field of monitoring, the container quasi-data analysis platform from vendors such as Splunk and sumo logic is particularly appealing. They can bring better visibility into containerized infrastructure. From an ecological point of view, another notable consideration is the discussion of the Docker branch. Red Hat's new Ocid project has made some people think that the Docker branch has appear

driver:overlay2 back ing filesystem:extfs Supports d_type:true Native Overlay diff:truelogging driver:json-filecgroup Driver:cgroupfsplugi Ns:Volume:local Network:bridge host Ipvlan macvlan null overlay log:awslogs fluentd gcplogs gelf Journald json-file Lo Gentries splunk syslogSwarm:inactiveRuntimes:runcDefault runtime:runcinit binary:docker-initcontainerd version: 89623f28b87a6004d4b785663257362d1658a729runc Version:b2567b37d7b75eb4cf325b77297b140

the work each day, I would like to make progress with you. Hehe every day progress a little. follow up the other modules, what is the problem please do not mean to point out, together to improve. Welcome everyone and the technical enthusiasts join our QQ Group 262407268, build our "Chinanetcloud Smart city"At present, has completed three relatively small modules: common, service, application in fact, to achieve high performance inside there is a lot of content to learn to accumulate, follow-up

at hand.Log fileStoring the log data in the database seems to look good on the surface, and "Maybe I need to make complex queries about this data in the future", which is popular. This is not a particularly bad practice, but it is very bad if you keep log data and your product data in a database.Perhaps your log records are very conservative, and each Web request produces only one log. For each event of the entire Web site, this still generates a lot of database insertions, competing for the da

loss is not an effective solution. If the application is abnormal result in CPU, memory, IO too high, please locate the abnormal application and repair in time, if the resources are not enough, monitoring should be able to find and rapidly expand For a large number of systems receiving or transmitting UDP packets, you can reduce the probability of packet loss by adjusting the socket buffer size of the system and program. When processing UDP packets, the application should be asynchronou