CF

Understanding Deployment: Core Concepts

17h 3m 1s
English
Paid
Added to CourseFlix

Understanding Deployment: Core Concepts is a 70-lesson 17 hours 3 minutes self-paced course by Udemy. The Application Deployment Course will help you understand not only individual instructions like "how to deploy a Java application in AWS," but also the fundamental principles of deployment, cloud infrastructure, networks, Linux, and…

Course facts

Lessons
70
Duration
17 hours 3 minutes
Language
English
Added to CourseFlix
November 2026
Instructor
Udemy
Price
Premium

The Application Deployment Course will help you understand not only individual instructions like "how to deploy a Java application in AWS," but also the fundamental principles of deployment, cloud infrastructure, networks, Linux, and system administration. You will learn to run applications and services in AWS, Google Cloud, Microsoft Azure, Cloudflare, on-premise infrastructure, and other environments without being tied to a single provider.

About This Course

The main goal of the course is to teach you to consciously deploy production applications, understand what happens under the hood, and make engineering decisions suitable for real projects, users, and business tasks.

You will work with applications on Node.js, Java, Rust, Swift, Go, Next.js, and other technologies, study infrastructure design principles, learn to use cloud services, and be able to combine different platforms without vendor lock-in.

The course does not require prior knowledge of all listed tools. You will understand them as needed, relying on practical tasks and real deployment scenarios.

Practical Course Task

During the training, you will face a realistic engineering challenge: handle 50 million real HTTP requests per month on a budget of only $15 per month.

This is not an isolated lab exercise nor a set of simple demonstrations. You will work with infrastructure and applications where there are:

  • approximately 50 environment variables;
  • 175 HTTP routes;
  • 5 PostgreSQL databases;
  • logging, compression, and encryption;
  • Redis, Docker, Nginx, and Cloudflare;
  • media file processing;
  • multiple programming languages and execution environments.

This format helps you learn to tackle real infrastructure challenges instead of engineering for engineering’s sake.

Technologies You Will Learn

The course covers a wide range of tools used in modern backend, cloud, and DevOps development:

  • Cloud Platforms: AWS, Google Cloud, Microsoft Azure, Cloudflare.
  • Infrastructure and Automation: Terraform, Docker, Bash, Linux, SSH.
  • Backend and Programming Languages: Node.js, Java, Rust, Go, Swift, C, and C++.
  • Databases and Caching: PostgreSQL, Redis.
  • Web and Reverse Proxy: Nginx, Next.js, HTTP servers, and routing.
  • Networks and Protocols: TCP, UDP, WebSockets, HTTP, HTTPS, TLS, IPv4, and IPv6.

Special Focus on Linux and Terminal

Special attention is given to Linux, the command line, SSH, and the basic principles of system administration. You will gradually gain confidence in working with servers, terminals, processes, network settings, and infrastructure tools.

After the course, Linux will no longer seem complex and unintelligible: you will understand how to use it for deployment, diagnosis, and maintenance of production applications.

What You Will Gain After Completing the Course

  • Learn to deploy production applications on Node.js, Java, Rust, Swift, Go, Next.js, and other technologies.
  • Master application deployment in AWS, Google Cloud, Azure, and your own on-premise infrastructure.
  • Understand how to design infrastructure without being dependent on a single cloud provider.
  • Get to grips with Linux, the terminal, SSH, and the basic principles of system administration.
  • Learn to reduce costs on cloud infrastructure through well-architected solutions.
  • Gain practical experience with Docker, Terraform, PostgreSQL, Redis, Nginx, Cloudflare, and other tools.
  • Understand networks and key internet protocols: TCP, UDP, HTTP, HTTPS, TLS, WebSockets, IPv4, and IPv6.
  • Build a foundational base that will help you independently master new cloud and infrastructure technologies.
  • Prepare for further development in DevOps, Cloud Engineering, Systems Engineering, and System Administration.

Who This Course Is For

  • Developers who want to deploy their applications, services, and products independently.
  • Those looking to become a Cloud Engineer, DevOps Engineer, or Systems Engineer.
  • Backend developers who need to understand cloud infrastructure, networks, and Linux in depth.
  • Professionals who want to reduce expenses on AWS, Google Cloud, Azure, or other infrastructure.
  • Those preparing for AWS, GCP, or Azure certifications and want a stronger practical foundation.
  • Engineers who already have cloud certifications but still face challenges with unconventional infrastructure tasks.

Requirements for Participants

  • A few months of experience in backend development using a C-family language: Go, JavaScript, Rust, Java, C#, and others.
  • Basic familiarity with SQL, the command line, and SSH.
  • A laptop or computer with internet access.
  • A bank card to create an account with a cloud provider.

Why This Course Stands Out

The course includes over 50,000 lines of code based on years of practical experience. This is not a "click here, then here" type of training, but a systematic breakdown of how applications, servers, clouds, networks, and infrastructure work.

You will learn not just to follow instructions but to analyze situations, choose appropriate tools, evaluate the cost of solutions, and independently find working architectural options for real projects.

Final Outcome

After completing the course, you will be able to work more confidently with different cloud platforms, combine their strengths, avoid vendor lock-in, and make more mature infrastructure decisions.

The knowledge gained will provide a solid foundation for development in DevOps, cloud engineering, backend infrastructure, system administration, and preparation for AWS, Google Cloud, and Microsoft Azure certifications.

Who teaches Understanding Deployment: Core Concepts? Udemy

Udemy thumbnail

Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

What lessons are included in Understanding Deployment: Core Concepts?

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#1: 1. Welcome
All Course Lessons (70)
#Lesson TitleDurationAccess
1
1. Welcome Demo
04:36
2
2. Setup
08:57
3
3. My Physical Setup
11:34
4
4. Registering a Domain
04:09
5
5. Moving to Cloudflare
04:15
6
11. Understanding Hexadecimal and Binary Data
13:39
7
13. Introduction
04:54
8
14. Launching the Machines
21:19
9
15. Time to Deploy
28:32
10
16. Introduction
10:53
11
17. Understanding Unix Processes
10:13
12
18. What Actually Happens When You Run a Command
19:32
13
19. Compiled vs. VM vs. Interpreted
14:04
14
20. CPU Utilization & Threads
08:06
15
22. Introduction
12:44
16
23. Taking Full Control of Our Network Card
17:59
17
24. Communicating With Our Network Card
19:17
18
25. Network (Internet Protocol) Layer
21:43
19
26. Transport Layer
30:14
20
27. Application Layer
11:26
21
28. Introduction to Autocannon
09:07
22
29. Introduction
07:49
23
31. Introduction to Weer
11:07
24
32. Deploying Weer With Docker
12:43
25
33. SSH Seamlessly
08:33
26
35. Cleaning Up Docker Files
12:23
27
36. Deploying Weer Natively – Installation Step
12:13
28
37. Deploying Weer Natively – Running Everything
12:50
29
38. Backup & Break
14:09
30
39. Handling Our Secrets
16:52
31
40. UC Child Processes & Environment Variables
19:05
32
41. Setting Up the Rest of Our Secrets
06:35
33
42. Introduction to Pagser
11:29
34
43. Deploying Pagser
13:43
35
44. NC Understanding DNS
08:44
36
45. Pointing Our Domain Name to Our Server
17:26
37
46. Sending Professional Emails
23:58
38
47. Handling Media Processing
23:49
39
48. Handling Media Storage
05:48
40
49. Whoops! Let's Avoid a $10,000 Bill by Moving Away from S3
21:18
41
50. AWS Lambda, SNS, EventBridge & CloudTrail
11:09
42
52. Deploying Harbourfront (Our Java App)
22:23
43
53. Deploying Citymarket (Our Next.js App)
09:53
44
54. Introduction to Rustle (Our Rust Swift App)
06:45
45
55. Deploying Rustle & a Note on Memory Usage
15:03
46
56. An Update on the Media Processing High-Memory Issue
27:24
47
58. Handling Our Databases' Durability PART 1
11:34
48
59. Terraform in 20 Minutes
18:02
49
60. Handling Our Databases' Durability PART 2 — Bucket Versioning, Lifecycles & Lock
28:33
50
61. More on SSH Tunnels
13:52
51
62. What Is an HTTP Proxy
06:46
52
63. Setting Up NGINX & Cloudflare Proxies
22:13
53
64. Learning systemctl
18:55
54
66. Setting Up Full HTTPS
09:05
55
67. Handling NGINX the Easy Way
16:40
56
68. Changing SSH Port & Removing Allow All
15:23
57
69. Static IP Addresses For Increased Availability
08:35
58
70. Switching to IPv6 to Cut Costs
28:34
59
71. Storage Over Network & Tailscale
16:41
60
72. Understanding Disk and IOPS
29:35
61
73. Disk and Database Optimization
14:58
62
74. Testing Our iOS Application
10:56
63
75. Save Even More Money!
10:27
64
78. Benchmarking Weer — Docker vs. Bare Metal
31:31
65
79. What Difference Does an In-Memory Message Broker Make
07:24
66
80. Benchmarking Pagser
17:35
67
81. Server-Side Rendering
08:40
68
82. Authentication
11:12
69
83. Harbourfront Java, Vert.x, Page Loads & Contact Submissions
13:58
70
84. Rustle Pushed to the Limit & The Power of Rust
11:28
Watch the other 69 lessons

One payment unlocks this course and every other premium course. No auto-renew.

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Frequently asked questions

Do I need to know every language and cloud platform before I start?
No—you don't need prior knowledge of every tool or language used in the course. You'll encounter them through deployment tasks rather than having to master the whole stack beforehand. The course also spends time on foundations such as Unix processes, networking, and how programs run. That gives you context for the practical work, though it isn't a promise that you'll learn each application language from scratch.
What will I actually be deploying?
You'll work with several applications rather than deploy a single minimal example. They use different technologies, including Java, Next.js, and a Rust/Swift application. The central challenge is to handle 50 million HTTP requests per month within a $15 monthly infrastructure budget. The setup involves multiple PostgreSQL databases, many routes and environment variables, plus concerns such as logging and encryption. Treat that budget as the engineering target for the exercise, not a guaranteed bill for your own project.
How is this different from following a quick deployment tutorial?
You'll spend time understanding why a deployment works, not just which commands to paste. That means looking below the application at processes, CPU use, network layers, and storage behavior. You'll also work through operational decisions involving secrets, database durability, proxies, and HTTPS. If you only want the shortest route to putting one app online, expect more groundwork here; the emphasis is on making deployment decisions you can explain and adapt.
Will I be stuck using AWS, or can I apply this elsewhere?
The course isn't built around committing to one cloud provider. It addresses deployment across AWS, Google Cloud, Microsoft Azure, Cloudflare, and on-premise environments, with the aim of helping you combine platforms when appropriate. You'll also work with tools such as Docker, NGINX, and SSH. Don't assume every provider gets equal attention, though: the focus is understanding infrastructure well enough to make choices beyond a single provider's deployment workflow.
Is this mainly about writing application code or operating it?
It's mainly about getting applications running and handling the infrastructure around them. You'll work with existing application stacks, but the emphasis is on deployment, networking, Linux, and system administration—not learning to build application features in every language involved. Practical work includes managing secrets, connecting domains, configuring HTTPS, and protecting database data. If your main goal is learning Java or Next.js development, this serves a different purpose: understanding what happens when an application needs to run for users.
How much time should I set aside?
There's 17 hours and 3 minutes of video across 70 lessons. That's the viewing time, not a stated estimate for completing the practical work. You'll also need time to configure infrastructure, deploy applications, and work through the exercises, so don't plan around finishing everything in 17 hours. Your familiarity with Linux, networking, and cloud services will affect how much extra time you need; no fixed completion schedule is provided.
What could I take from this into deploying my own projects?
The transferable part is learning to reason about the pieces around your application: how it runs as a process, how traffic reaches it, where secrets belong, and how data survives failures. You'll also examine resource use and infrastructure costs, which matter when choosing where and how to host a project. The aim is to help you make those choices across different stacks and environments, rather than depend on one memorized deployment recipe.