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[AWS]/GITLAB

41장. 요약 및 결론

by SAMSUNG CLOUD-OKY 2022. 2. 21.
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Congratulation, this is the last lecture in dissection and yeah, I think we have done a good job because

now we have gone over the most important features that get lab and get Lipsey offer us.

I think one of the key takeaways in this one is especially related to environments and how we have to

use them and that we have now the possibility of doing my request, deploying to dynamic environments,

deploying to a preproduction server and deploying to production, controlling the entire process and

all the time keeping track of what we have.

Now we can easily review the changes that are supposed to go live and GitHub offers us the possibility

of tracking which exact version is on the production server or on the staging server or on the special

review environment that has been created.

In this section, we have learned how to use the predefined environment variables that Gottleib has

to offer us, and they are quite powerful because the list of predefined environmental variables is

quite extensive and it can solve a lot of problems for us.

Additionally, by the end of this section, you should have noticed an improvement on the way your pipeline

runs and by using caches or better Dukkha images or doing other small tweaks, you should have now a

pretty fast pipeline.

If you haven't done that already, I highly recommend that you go over the assignments and that you

try them or your own and try to get as much practice as possible.

I've tried keeping the assignments so that they don't directly replicate what I have already showed

you, but leave you some room to try and figure out things on your own, to see how stuff actually works,

to make mistakes and to try to find a solution.

So hopefully you have found that useful.

And this has been the section on catalepsy fundamentals.

 

 

 

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