- 
Afrikaans
 - 
af
Albanian
 - 
sq
Amharic
 - 
am
Arabic
 - 
ar
Armenian
 - 
hy
Azerbaijani
 - 
az
Basque
 - 
eu
Belarusian
 - 
be
Bengali
 - 
bn
Bosnian
 - 
bs
Bulgarian
 - 
bg
Catalan
 - 
ca
Cebuano
 - 
ceb
Chichewa
 - 
ny
Chinese (Simplified)
 - 
zh-CN
Chinese (Traditional)
 - 
zh-TW
Corsican
 - 
co
Croatian
 - 
hr
Czech
 - 
cs
Danish
 - 
da
Dutch
 - 
nl
English
 - 
en
Esperanto
 - 
eo
Estonian
 - 
et
Filipino
 - 
tl
Finnish
 - 
fi
French
 - 
fr
Frisian
 - 
fy
Galician
 - 
gl
Georgian
 - 
ka
German
 - 
de
Greek
 - 
el
Gujarati
 - 
gu
Haitian Creole
 - 
ht
Hausa
 - 
ha
Hawaiian
 - 
haw
Hebrew
 - 
iw
Hindi
 - 
hi
Hmong
 - 
hmn
Hungarian
 - 
hu
Icelandic
 - 
is
Igbo
 - 
ig
Indonesian
 - 
id
Irish
 - 
ga
Italian
 - 
it
Japanese
 - 
ja
Javanese
 - 
jw
Kannada
 - 
kn
Kazakh
 - 
kk
Khmer
 - 
km
Korean
 - 
ko
Kurdish (Kurmanji)
 - 
ku
Kyrgyz
 - 
ky
Lao
 - 
lo
Latin
 - 
la
Latvian
 - 
lv
Lithuanian
 - 
lt
Luxembourgish
 - 
lb
Macedonian
 - 
mk
Malagasy
 - 
mg
Malay
 - 
ms
Malayalam
 - 
ml
Maltese
 - 
mt
Maori
 - 
mi
Marathi
 - 
mr
Mongolian
 - 
mn
Myanmar (Burmese)
 - 
my
Nepali
 - 
ne
Norwegian
 - 
no
Pashto
 - 
ps
Persian
 - 
fa
Polish
 - 
pl
Portuguese
 - 
pt
Punjabi
 - 
pa
Romanian
 - 
ro
Russian
 - 
ru
Samoan
 - 
sm
Scots Gaelic
 - 
gd
Serbian
 - 
sr
Sesotho
 - 
st
Shona
 - 
sn
Sindhi
 - 
sd
Sinhala
 - 
si
Slovak
 - 
sk
Slovenian
 - 
sl
Somali
 - 
so
Spanish
 - 
es
Sundanese
 - 
su
Swahili
 - 
sw
Swedish
 - 
sv
Tajik
 - 
tg
Tamil
 - 
ta
Telugu
 - 
te
Thai
 - 
th
Turkish
 - 
tr
Ukrainian
 - 
uk
Urdu
 - 
ur
Uzbek
 - 
uz
Vietnamese
 - 
vi
Welsh
 - 
cy
Xhosa
 - 
xh
Yiddish
 - 
yi
Yoruba
 - 
yo
Zulu
 - 
zu

Explained K8’s Cronjob in 15 Minutes with Hands-On Python Script!

Experience the ease of our online cron job manager today.



This video provides an explanation of the scheduling mechanism known as Cronjob and the format used for Cron Expression within a Kubernetes environment, specifically using a local setup. The demonstration includes the creation of a basic Python script, which is scheduled to execute within the cluster environment at regular intervals. The job is designed to activate every five minutes, running the specified Python application. This application has been packaged as a Docker image, which is subsequently retrieved by the scheduling mechanism into the Kubernetes cluster.

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