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27 Mar 2017

Asambodo Splunk - Ajụjụ Ajụjụ na Azịza

Usoro ọzụzụ nkuzi Splunk ga-enye gị ihe atụ a na-atụ anya ịkọwa igwe-kere data iji Splunk arụ ọrụ. Splunk Analytics ga-enye gị ohere ịkọ nnukwu ọnụọgụ nke data. Nke a Splunk na-agụnye ọzụzụ na ịjụ ajụjụ dị mkpa, ịkekọrịta na ịkwụsị nsonaazụ, emepụta aha na ụdị ihe omume, ịmepụta akụkọ, na ihe e kere eke. Ọ ga - enyere gị aka ịmepụta engineering, Splunk syslog, ihe nkesa syslog, nyochaa nyocha, mkpuchi, ịjụ ajụjụ, na ọkpụkpọ ma mee ka ị bụrụ Onye Mmepụta Splunk dị irè.

Ime Splunk ga-agbanwe ahịa gị ma buru ya na ọkwa na-esonụ. Mee nke a, ajụjụ bụ: Ị na-eme ka aptitudes na ike gụọ Splunker? Na ohere na ee, dozie onwe gị maka onye kacha atụ ụjọ na onye ọrụ ga-ahụ maka eziokwu ahụ bụ na mmegide dị iche iche. Ị nwere ike ịmalite site na ịnweta nkwurịta okwu Splunk kasị mara amara nke a na-ekwu na nke a blog.

10 Ajụjụ Interview na Azịza maka Asambodo Splunk

Kedu ihe bụ Splunk? Gini kpatara Splunk ji jiri igwe kpoo ihe omuma?

Splunk bụ Google maka data igwe gị. Ọ bụ ngwanrọ / ngwongwo a na-eji iji hụ, na-achọ, na-ezisa ozi ọma, na ị na-ahụ data gị. Splunk na-ewepụta data igwe bara uru ma gbanwee ya n'ime ihe ọmụma dị ike site n'inye ezigbo oge nghọta maka data gị site na chaatị, ịdọ aka ná ntị, akụkọ na ihe ndị ọzọ.

A na-eji Splunk eme ihe maka ịmepụta igwe data ebe ọ nwere ike inye ahụmahụ na nchịkwa ngwa, ọrụ IT, nchedo, nchịkọta, njirimara njirimara, ihe ize ndụ perceivability na ihe ndị ọzọ.

Kedu akụkụ nke splunk / splunk engineering?

  • Lee isi - nyere GUI ịchọ
  • Indexer - data igwe data na data.
  • Onye na - aga - Chee ihu na Ndepụta
  • Ihe nkesa na - Na-ejikwa ngalaba splunk na-ekesa ọnọdụ.

Kedu ihe iji ejizi License Master na Splunk?

License ace na Splunk na-ahụ maka ikwe n'aka na a ga-edeba ezigbo ihe data. Akwụkwọ ikikere Splunk na-adabere n'olu data dị na windo 24hr ma tinyere usoro ndị a, na-ekwenye na ụwa na-anọgide na njedebe nke olu a nwetara.

Kedu ihe Splunk DB jikọtara?

Ọ bụ n'ozuzu SQL database modul na-enye gị ohere itinye mgbalị na data nchekwa data na Splunk gbara ajụjụ na akụkọ. Ọ na-enye nkwado nke a na-adabere adaba, nke nwere ike ime mgbanwe ma na-ewe oge n'etiti Splunk Enterprise na databases database.

Kọwaa 'mmebi iwu' site na Splunk.

Ọ bụrụ na ị kọwaa njedebe data, mgbe ahụ, a ga-egosi gị mmejọ 'mmebi iwu'. Akwụkwọ ikike ịdọ aka ná ntị na-atụgharị, ga-adịrị maka ụbọchị 14. Na azụmahịa ma ọ bụ ikike azụmahịa ị nwere ike ịnweta ozi 5 n'ime windo mbugharị nke 30 tupu ihe ndepụta nke Indexer na akụkọ kwụsịrị ịkwụsị. N'elu ụdị n'efu, ọ ga-egosi na 3 dị elu nke ịkpachara anya.

Kedu ihe edere aha na splunk?

Ndepụta nchịkọta bụ faịlụ mmepụta ndabara (faịlụ nke plunk Enterprise na-eji na-eme ka ị ghara igosi onye ọzọ). Na ohere na ị họọrọ ịme ọtụtụ ụdị ndepụta ndepụta nke mkpirikpi ndepụta ị nwere ike mkpa iji mepụta faịlụ ndị ọzọ.

Kedu ihe dị iche n'etiti stats na usoro ihe omume?

Nkọwapụta na-eme ka ị ghọta ihe ọ bụla na mpaghara ọ bụla dị na ntinye akwụkwọ gị ma chebe ha dịka àgwà dị iche iche. Ihe ngbadoro dị ka ọkwa, ma e wezụga nchịkọta nnakọta ahụ na-agbakwụnye na ndepụta ọ bụla na ọ bụrụ na nchịkọta ahụ metụtara ihe omume ahụ. Ihe nchịkọta na-edeba aha a rịọrọ maka nha dị ka stats, ọ bụ ezie na ha na-etinye ha na data mbụ.

Kedu ihe ejiji Splunk? Kọwaa ihe nwere ike ime ndụ.

A na-akpọ katalọgụ nke nwere data ederede dị ka akpa Splunk. Ọ na-agụnyekwa ihe omume nke oge. Ndụ ndụ ndụ Pail na-agụnye ịmalite mgbe ị gachara:

  • Hot - It contains as of late listed data and is open for composing. For each list, there are at least one hot basins accessible
  • Warm – In warm stage data moved from hot
  • Cold – Cold stage data moved from warm
  • Frozen – Data moved from frosty. The indexer erases solidified data as a matter of course however clients can likewise file it.
  • Thawed – Information reestablished from a file record. On the off chance that you document solidified data , you can later return it to the record by (defrosting) it.

Kọwaa ikike nke Alert Manager?

Ready supervisor shows the rundown of most as of late let go cautions, for instance, ready occurrences. It gives a connection to see the indexed lists from that activated caution. It likewise shows the ready’s name, application, sort (booked, real-time, or moving window), seriousness and mode.

Kọwaa ọdịiche dị n'etiti isi mmiri nyocha ma chọpụta isi bunching?

Seek head pooling is a gathering of connected servers that are utilized to share load, Configuration and customer data while look head grouping is a piece of splunk enterprise seek goes to fill in as a focal asset for seeking. Since the inquiry head group bolsters part compatibility, similar dashboards and pursuits can be run and saw from any individual from the bunch.

Nkume a-aza

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