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ELK mida evaraina work chesara


vendettaa

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2 minutes ago, vendettaa said:

Real time undi 

errors log chesi log4j lo ,logstash through elastic search connect ayyi kibana lo display cheyadam 

Elasticsearch em chesthundi 

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2 minutes ago, vendettaa said:

Real time undi 

errors log chesi log4j lo ,logstash through elastic search connect ayyi kibana lo display cheyadam 

Cool real time vunte

inka neede ground

so em help expect chestunnav @vendettaa

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6 minutes ago, vendettaa said:

Real time undi 

errors log chesi log4j lo ,logstash through elastic search connect ayyi kibana lo display cheyadam 

E

L

K

scenario based cheppu 

nuvvem chesav

em challenges face ayyayi 

project ela help ayyindi

tamari role enta % env setup lo @vendettaa Bangaram... change your id to @Bangarametta

 

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7 minutes ago, afacc123 said:

E

L

K

scenario based cheppu 

nuvvem chesav

em challenges face ayyayi 

project ela help ayyindi

tamari role enta % env setup lo @vendettaa Bangaram... change your id to @Bangarametta

 

E kibana pedda exp ledu hive toh connect ayyi index create chesi kibana dashboard toh play chesa

basically nadanta Spark scala development inka shell scripting oozie avi chesta

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1 hour ago, ekunadam_enkanna said:

You can expect more on elasticsearch (es)

indices, shards, segments, immutability of docs,  etc

es indices vs lucene indices (es shards), esp how es distinguishes meta fields from other fields, whereas lucene index doesn't

what happens to docs, when docs are updated/deleted, as they are immutable

different kind of analyzers

term query vs match query, how to construct complex queries equivalent to some SQL queries using bool, etc.

term query vs terms query

update vs update_by_query

painless scripting, etc

REST clients: high level vs low level

es is schema less, like any other nosql dbs are. however, you can enforce schema in multiple ways. This is where logstash does its magic.

es index life cycle management: how to grow indices, as number of shards are fixed. Rolled over indices, hot vs cold architecture, etc.

 Kibana is just a web front end of es, just like splunk web interface.

logstash pushes the data to es, just as kinesis/kafka does.

Ok prep avta

painless scripting chesina 5 months back to get the required visualization on kibana

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3 minutes ago, vendettaa said:

Ingest chestundi data ni so that aa data ni kibana lo visualize chesettu

elasticsearch mida emaina videos unnaya/or docs link?

if yes please post here

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vanty intha chinna vayasulo inni technologies meeda intha pattu ela vachindi..

enni days nightout chesavu.....guruji chepinattu nuvvu raathri vudayinche suryudivi sorry suryuraalivi...

datascientist ane samudram lo kafka ane padava meeda python ane theddu vesukoni data kosam vethukuthunna amoga jeevivi....

 

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44 minutes ago, vendettaa said:

Telidu ipdu cooking 

adayyaka chesta

Nannu adugu 

duniya bhar material and free videos 

let’s PM 

already too much cheppanu

its exclusively for you @vendettaa

am not talking of YouTube crap 

this is professional dear 

i wonder if you’ll night out today 

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