The Docker for DevOps course: From development to production (Udemy.com)

Actually, this course shifted from writing docker files to how to deploy at staging & production. Also Nick had a pre compiled deploy script with which he does all the staging & production magic. I expected that at the end of the course I would be able to write a Dockerfile from scratch but I am not able to write one from scratch instead i spent my most of the time in setting up the system for being in sync with nick tutorials. Dont recommend to those who are just wishing to learn docker. I recommend them to rather use docker docs which i found out later as the best resource. But yeah if someone wants to get to the very core of deployment & production then this is the best resource ever which walks you through the entire steps with broad details. This is my honest review & i am not here to impress someone. Thank You! Best of Luck!

I knew absolutely nothing about docker and now I think I can roll out a server with docker containers. I really liked the approach to run a web app with many services (Postgres and redis), allowing us to play with a multi service environment. The focus on how to prepare a staging and production environment is a win. As a bonus, you learn how to really automate deploy using git hooks. I'd recommend this course to everyone interested in learning docker.

In general Nick seems to be very confident and it's quite pleasant to watch his tutorials. I'm having a lot of issues using newer software and although there is an updated section at the end of the course it's unpleasant to follow the course this way sometimes. So if you do NOT follow along the course exactly - for whatever reasons - expect issues! But as a programmer you're supposed to get along with that and so do I. (and there are a lot of bugfixes and hints in the Q&A and within the videos as well) Besides that this course already helped me a lot to become more confident in using Docker and I'm pretty positive that it will for the rest of the course as well! So if you don't mind fixing stuff while watching tutorials I really recommend this course as I din't find something similar yet!

One of the best Docker courses on Udemy right now (I actually went through a few). It contains a good balance of theory and practical materials. While this is a course about Docker, it touches a lot on other useful concepts used by DevOps, such as lightweight automatic provisioning of servers, git hooks, etc. which I found really useful. The instructor also responds to queries really quickly. A possible downside is that it lacks the coverage of more advanced/modern Docker features, but those could well be made into another course altogether. Overall a 5-star course that any new DevOps should take!

Excellent course so far. At first I was hesitant to set up a VM just for this class but I've found that process to be educational as well. The course moves at a brisk pace. I've done a few other classes that explained each step and concept thoroughly, which was great, but I'm finding this pace to be appropriate to my experience level. It dives right in and hits the ground running. Conclusion: Fantastic course! I learned so much. This has all the nitty gritty details about using Docker in fully functional dev, staging, and production environments. Thanks Nick!

Learning requires effort. So will this course. No course is perfect. As neither is this. However, I really enjoyed it. You will learn the fundamentals of Docker and, at the same time, you will get an environment comprising various tools that will let you deploy to staging and production servers. This environment really works, allowing you to customize it further as you may wish, and letting you do real worker when you're ready. This is really great. As various tools are used (ssh, systemd, git, docker, postgresql, redis, flask, nginx), you should expect spending some time if you aren't acquainted to some of these technologies, as I wasn't, although the author does describe some of them as much as required to make all work. I would recommend getting some good cheat sheets on git, docker, ..., and following the course closely to get things working first. Later you may gradually change what you want or need, as I found troubleshooting things difficult in docker containers . You may find that "docker logs " will be your friend. That git commit --allow-empty -m "To force push" may be helpful if you need to push things again (new server, or when images are deleted). And, don't forget to "seed" postgresql database when is first used ..., or you may spend some hours trying to debug what is not wrong. Regarding support, I had a few issues - mainly because I made some changes that caused errors - used Q & A, and was amazed when author replied in a few minutes. Many thanks to the author.

Certain concepts are not very well explained - particularly docker-specific concepts. Taking a little more time to explain the structure of a docker project's files would be hugely beneficial for a course about Docker. The approach seems to be "download the code I already wrote and let me go over what each line does," which makes the instruction feel hurried and difficult to keep up with. It would be easier to follow and comprehend as a student if the files were written from the group up on screen in a step-by step manner, and the thought process explained. I understand that this is not a course on shell scripting, Ruby on Rails, Flask, or Linux, so this approach is fine for non-docker code. However, for at least files like Dockerfile, docker-compose.yml, and .dockerignore, it would be more beneficial to write them on-screen and take the time to explain each step and the rationale behind it. Especially since there isn't really all that much content in these files, it would not make the videos substantially longer. They would be much easier to comprehend though. Finally, the classification of this course being an "all-levels" course is incredibly misleading. As a professional software developer, I and finding the course more difficult to follow than other all-levels or beginner-level courses, because it assumes the user has a working knowledge of Linux, shell scripting, Python/Flask, Ruby/Rails, virtual machines, web servers, ssh, and many other technologies that a novice would have no knowledge of. I am not saying this course should be made more accessible to novices - DevOps its self is an advanced topic that many comp-sci graduates hardly know anything about. However, in my opinion, this course should be listed as "intermediate" level at least, as a beginner would be completely lost almost right away, and likely request a refund.

This course touches upon several key concepts to make use of docker in a dev ops envorinment. The information is quite good. The cons about this course is most of the time we are watching a pre-made resource (code/scritp/config file) that is explained while jumping between several resources and terminals. I personally do not think this is the best way to learn. It is way better to explain it while making it.

This course was really well put together and covers a wide range of topics around both DevOps and Docker. I chose it primarily for the Docker side, but learnt a lot about Ruby and Python too. The instructor's experience comes across, and he provides a very informative review of different products associated with docker. I am very pleased with this course, and have to say it was quite challenging in parts, but the instructor provided fast helpful responses to get me back on track. I highly recommend it.

This was my first course on udemy.com. I am relatively new to web dev and had some difficulties understanding the Docker / Docker compose work-flow by following their documentation and tutorials. In my opinion Nick did great job by demonstrating the entire process of using Docker / Docker compose on development, staging and production servers. I like his manner of presenting the material, splitting it into sections and lectures. The overall quality of course exceeded my expectations. I would recommend this course to everyone who wants to understand Docker and put it in use asap.