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A time series database (TSDB) is a software system that is optimized for storing and serving time series through associated pairs of time(s) and value(s).[1] In some fields, time series may be called profiles, curves, traces or trends.[2] Several early time series databases are associated with industrial applications which could efficiently store measured values from sensory equipment (also referred to as data historians), but now are used in support of a much wider range of applications. – wiki
graph TB
B((Source code storage)) -- pull/checkout/clone --> C(Pipeline)
C(Pipeline) -- Test & build --> D[Application]
D[Application] -- store --> E((Distribution))
A((Infrastructure)) -- provisioning --> G(Instance)
E((Distribution)) -- load --> F(Deployment)
F(Deployment) -- deploy --> G(Instance)
txtgrn=$(tput setaf 2) # Green
txtylw=$(tput setaf 3) # Yellow
txtblu=$(tput setaf 4) # Blue
txtpur=$(tput setaf 5) # Purple
txtcyn=$(tput setaf 6) # Cyan
txtwht=$(tput setaf 7) # White
txtrst=$(tput sgr0) # Text reset.
When you manage your project’s repositories in Bitbucket or GitHub, or use Fisheye to browse and search your repositories, you can process your Jira Software issues using special commands, called Smart Commits, in your commit messages.1