₦airaland Forum

LUAN1:
i don't have any free material

You can try this tutor, I'll prescribe him if you are starting out and want something quality and free in the Devops|Cloud space. Go through his videos especially the Zero-to-Hero Series that interest you ==>
https://www.youtube.com/watch?v=Ou9j73aWgyE

LUAN1:
i want to learn cloud engineering

@LUAN1 I'd advise you start with the free materials available to you first before you go for any paid courses or classes

In Part 1, we transformed your Windows machine by installing WSL2, setting up Ubuntu, and enabling systemd. Your PC now has a heart that beats like a Linux server. Incase you haven't read that post here is the link : https://www.nairaland.com/8606292/how-set-up-windows-pc

Now, we need the right tools to interact with that heart. In this guide, we will set up Visual Studio Code (VS Code) and install Docker directly inside WSL2.

1. The Gateway: Visual Studio Code (VS Code)
When working in DevOps/Cloud, you’ll constantly switch between editing scripts and running terminal commands. Opening multiple windows for PowerShell and Ubuntu can become messy.

VS Code is an Integrated Development Environment (IDE) that simplifies this. With the right extensions, VS Code "tunnels" into your Ubuntu system, allowing you to edit Linux files and run Linux commands without ever leaving the editor.


Installation & Setup:
1. Download: Get the Windows installer from the official VS Code site.

2. The Magic Step: During installation, ensure you check the box "Add to PATH." This allows you to type code . in your terminal to open projects instantly.

3. The Essential Extension: Open VS Code.

4, Click the Extensions icon (square icon on the left) or press Ctrl+Shift+X.

5. Search for and install the WSL extension by Microsoft.

Pro Tip: Once installed, click the green "><" icon in the bottom-left corner of VS Code and select "Connect to WSL." You are now coding directly inside your Linux environment!



2. The Engine: Why Docker-in-WSL2?
Docker is the industry standard for containerization. On Windows, different options available to anyone who wants to use Docker, and they are:

1. Docker Desktop: A heavy GUI application.

2. Virtual Machines: High resource usage.

3. Docker-in-WSL2 (Our Choice): I recommend the Docker-in-WSL2 method for DevOps learners. It is lightweight, uses fewer system resources, and offers a production-accurate experience. Since you enabled systemd in Part 1, Docker will behave exactly as it does on a real AWS or Azure server. Plus, it’s completely free for all users.


Step-by-Step: Installing Docker-in-WSL2

1. Open your Ubuntu terminal and run the following commands:

2. Update and Install Prerequisites
$ sudo apt update && sudo apt upgrade -y
$ sudo apt install -y ca-certificates curl gnupg lsb-release apt-transport-https

3. Add Docker’s Official GPG Key & Repository. This ensures you are downloading the authentic, latest version of Docker.
$ sudo mkdir -p /etc/apt/keyrings
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

$ echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null


4. Install Docker Engine
$ sudo apt update
$ sudo apt install -y docker-ce docker-ce-cli containerd.io docker-compose-plugin docker-buildx-plugin

5. Start and Verify
Since we enabled systemd in Part 1, we can manage Docker as a service. Enable Docker to start automatically
$ sudo systemctl enable --now docker

6. Check if Docker is running
$ sudo systemctl status docker --no-pager

7. Run a test container
$ sudo docker run hello-world
If you see a "Hello from Docker!" message, congratulations—you've successfully containerized your first application!


Conclusion
You have now reached a major milestone:

1. VS Code is connected to your Linux environment.

2. Docker is running natively inside WSL2 via systemd.

Your workflow is now streamlined and professional.

You are no longer just a Windows user; you are a DevOps/Cloud engineer in training.

What’s next? In Part 3, we will explore Git version control and set up our first Cloud CLI to start interacting with the world of AWS/Azure.

If you’re starting your journey into DevOps or Cloud Computing, one thing you’ll quickly notice is that almost everything happens on Linux. Most servers in the cloud, CI/CD pipelines, containers, and Kubernetes clusters run on Linux.

So as a Windows user, the big question becomes:

How do I get a real Linux environment on my Windows PC so I can practice properly?

That’s where WSL2 comes in.


A very brief background: Why Linux matters

Linux is an open-source operating system created in 1991 by Linus Torvalds. Over the years, it has become the backbone of modern technology. Today, Linux powers:
Most cloud servers (AWS, Azure, GCP)
Android phones
Supercomputers
DevOps tools like Docker and Kubernetes
Web servers and enterprise systems

Because of this, Linux is not optional in DevOps or Cloud — it is core.


Popular Linux distributions

Linux comes in different “flavors” called distributions (distros). Some popular ones are:
Ubuntu
Debian
CentOS / Rocky Linux / AlmaLinux
Fedora
Arch Linux
Kali Linux

For beginners and DevOps learners, Ubuntu is the most recommended because it is:

Easy to use
Very popular in cloud environments
Well documented
Supported by almost every DevOps tool
That’s why we’ll focus on Ubuntu in this setup.


What is WSL2?

WSL (Windows Subsystem for Linux) allows you to run a real Linux environment directly on Windows without installing a full virtual machine.

WSL2 is the newer version and it uses a real Linux kernel, which makes it:
Faster
More compatible
Much better for Docker, Kubernetes, and DevOps tools
With WSL2, your Windows PC can behave like a Linux machine.


Before we start: What is a terminal?

A terminal is a program that lets you interact with your computer by typing commands instead of clicking buttons.

On Windows, we’ll mainly use:
PowerShell → for Windows/WSL commands
Ubuntu terminal → for Linux commands


How to open PowerShell

1. Press Windows key

2. Type PowerShell

3. Click Windows PowerShell (or “Run as Administrator” when needed)


In this guide, when you see $ command, do not type $. It only shows that the command should be run in a terminal.

Also note: during this installation, you will be switching between PowerShell and the Ubuntu terminal.


Step-by-Step Installation

Step 1: Install Ubuntu

1. Open Microsoft Store

2. Search for Ubuntu

3. Choose any version (preferably the latest, e.g., Ubuntu 22.04 LTS)

4. Click Install

After installation:

5. Click Open

Ubuntu will finish setting up and ask you to:

6. Create a username

7. Create a password

Use a password you can easily remember. If you forget it, you may need to uninstall and reinstall Ubuntu.

Once done, you now have a Linux terminal on your Windows machine .


Step 2: Install WSL

1. Install WSL from Microsoft’s official store page:
https://aka.ms/wslstorepage

2. After installing WSL:

3. Close all terminals

4. Restart your computer

This ensures WSL2 is properly set up.


Step 3: Confirm WSL is installed

1.Open PowerShell and run:
$ wsl --version

Expected output:

You should see something showing:
WSL version
Kernel version
WSLg version

This confirms WSL is installed correctly.


Step 4: Enable systemd

Open your Ubuntu terminal and run:
1. $ sudo vi /etc/wsl.conf

What this command does:
sudo → run as administrator
vi → open a text editor
/etc/wsl.conf → WSL’s main configuration file

This command opens a file where we can control how WSL behaves.

2. Inside the file, paste:
$
[wsl2]
systemd=true


Then save and exit.


Why do we need this?

systemd is the main service manager in most Linux systems. It is responsible for starting and managing background services like:

Docker
SSH
Cron jobs
Kubernetes components
Web servers (Nginx, Apache, etc.)

On real Linux servers, systemd runs automatically. Enabling it in WSL makes your environment behave much more like a real cloud server — which is perfect for DevOps practice.


Step 5: Restart WSL

1. Go back to PowerShell and run:
$
wsl --shutdown
wsl

This restarts WSL and applies the new configuration.


Step 6: Confirm systemd is running

1. In your Ubuntu terminal, run:
$ ps -p 1 -o comm=

Expected output:
systemd

2. Then run:
$ systemctl list-units --type=service

Expected output:

You should see a list of running services instead of an error.

If you see services listed — congratulations systemd is working.


Conclusion

At this point, you have:

Installed Ubuntu on Windows

Set up WSL2

Enabled systemd

Prepared a real Linux environment for DevOps and Cloud tools

Your PC is now ready for things like:

Docker

Kubernetes

Git & CI/CD pipelines

Cloud CLIs (AWS, Azure, GCP)

Automation and scripting

In Part 2 of this series, we’ll start installing essential DevOps tools and configuring our environment properly.

@codemarshal08 thanks for the add-on! I’d suggest using KIND as it gives a more hands-on Kubernetes experience and is lighter on your machine compared to Minikube.

I can't shake this feeling that a lot of tech bootcamps today are more focused on profit than on genuinely transforming learners' lives. They promise to take an absolute beginner from novice to 'pro' in just three months for disciplines as complex as DevOps and Cloud Computing. How is that even possible? This isn't just about one or two Tech Programs, it's a pattern I'm seeing across the board, both in-person and online.

I'm opening this thread because it's time to get real about this issue. I'll be sharing my perspective from an IT trainer's viewpoint and i'll also look at it from the view point of the learner. We might be "shaking a lot of tables," but this conversation is long overdue and needs to be had with complete honesty."

Hire A DevOps & Cloud Computing Trainer For Your Career Advancement (Mentorship, Projects, Certifications)

Ever felt that jolt after university? One minute, you're in class, everything neat and "by the book." Programming lessons are clean, theories are sharp, and building software feels like a straight line from your laptop to the real world. You graduate, degree in hand, brain buzzing, totally ready to conquer the tech market.

Then, bam! Reality hits. That moment where everything just feels... different.

Suddenly, you're not just writing perfect code. You're staring at ancient systems, error messages that look like hieroglyphics, a ton of new tools you've never even heard of, and a whole team of people with conflicting ideas on how to fix one problem. All those clear-cut rules from school just seem to disappear.

This feeling really resonates with me as a DevOps Engineer. My mind's always bubbling with big ideas – building robust software, creating complex automated systems, even dreaming up new apps. But then, that little voice whispers, "You're just a DevOps Engineer, not a software developer." It's easy to feel small, to wonder if you truly have all the right skills for those big dreams.



"Progress Compounds, Time Compounds": A Simple Truth
I recently heard something from a major investor, Bill Ackman, that just clicked: "Progress Compounds just as Time Compounds."

Think about it. Every small step you take, every new idea you grasp, every tiny line of code you write – it's not isolated. It adds up. It builds on itself, creating a solid foundation for bigger leaps later on. Just like how every minute that passes contributes to a larger picture, your learning and effort in tech accumulate over time. It's a powerful idea, isn't it?

AI's Big Leap: Learning Just Got Easier!
Now, here's the truly exciting part, especially in our world today: Artificial Intelligence has completely transformed how we learn.

Remember those days of struggling through thick textbooks or wrestling with complex concepts alone? You can pretty much forget them. AI has made learning:


So, What Does This Mean For Your Journey?
That "huh?" moment after university isn't a sign that you're inadequate. It's an invitation to grow, a sign you've stepped into the exciting, fast-paced real world of tech. And with the power of compounding progress and AI as your learning partner, you have an incredible opportunity:

Embrace Small Steps: Don't get overwhelmed. Focus on consistent, small progress. Every skill builds on the last.
Leverage AI: It's your personal tutor. Stuck? Ask AI. Need to learn a new framework? AI gives tailored explanations.
Break Down Barriers: Your background is a starting point, not a cage. AI empowers you to explore new fields and pick up new skills.
Be a Lifelong Learner: The tech world constantly changes. Your ability to learn quickly and effectively is your most valuable asset.

So, when reality throws another "huh?" moment, remember: it's not a wall, it's an open door to growth. With consistent effort and AI as your learning buddy, you truly can achieve whatever you set your mind to and conquer any challenge in this exciting world of technology.

Uni Vs. Reality In Tech: That "Huh?" Moment (and What To Do)
Ever felt like your university tech courses painted a picture-perfect world, only for reality to hit you with a big, fat "Huh?" moment the moment you stepped into the industry? You're definitely not alone. That leap from neat, theoretical code to building robust systems that serve millions in a bustling market like Lagos is a common rite of passage.

Let's dive into the fascinating story of Moniepoint (once TeamApt) – it's a perfect example of how real-world demands can challenge, and ultimately shape, your tech journey.


The Spark: When Textbooks Met Nigerian Banking
Back in 2015, here in Lagos, two sharp minds, Tosin Eniolorunda and Felix Ike, looked at Nigeria's banking sector and just saw... inefficiency. Not a theoretical concept, but a daily friction for real people. Their big idea for TeamApt wasn't just to tweak things, but to build something genuinely scalable and reliable for a digital economy taking off. Right away, that's a different beast from a clean-room university project, isn't it?

Tosin, with his background in early digital payments, understood the hurdles. He knew that the biggest limitation wasn't just about cool features, but about reaching everyone. How do you design systems that don't just work, but truly extend services to underserved populations, handling unpredictable traffic and diverse needs? That's where the real-world challenge begins.


The Big Shift: From Banks to Billions of People
TeamApt started by crafting solutions for banks, focusing on robust backend infrastructure. But then came that "Huh?" moment: they realized the deepest need, and the biggest impact, lay elsewhere – directly serving the everyday small businesses and individuals who desperately needed better banking access.

This wasn't just a business pivot; it was a massive technical re-evaluation. How do you shift from supporting a few large institutions to empowering millions of individual users and micro-businesses? This is precisely where modern tech disciplines like DevOps and cloud computing stop being industry buzzwords and become absolute necessities.

By 2019, Moniepoint had secured a vital switching license from the Central Bank of Nigeria. This was huge! It meant direct customer reach and, critically, the need for an infrastructure that could scale almost infinitely to meet unpredictable demand. Nigeria's push for a cashless society only intensified this – creating a ripe environment for fintech innovation, but only for those whose systems could truly handle the pressure cooker.


The Ultimate Test: Thriving Under Pressure
Fast forward to Nigeria's 2023 cash scarcity. This was perhaps the ultimate "Huh?" moment for the entire nation's financial system. While many struggled, Moniepoint's infrastructure, meticulously designed for scalability and reliability, didn't just survive; it thrived. Their cloud-based systems absorbed the immense surge in transaction volumes, becoming a genuine lifeline for businesses and individuals relying on digital payments. That's not luck; that's robust engineering in action.

By 2024, Moniepoint was processing over $12 billion in monthly transactions, serving more than 1.6 million businesses. Numbers like these aren't achieved by theoretical perfection; they're the fruit of a deep, practical commitment to building resilient, cloud-based systems that can handle growing demand head-on. Their recent partnership with AfriGO to distribute five million contactless payment cards further illustrates their relentless drive, always shaped by real-world needs.


Bridging the Gap: From "Huh?" to "How?"
The Moniepoint story powerfully illustrates that "Uni vs. Reality" moment. It's about bridging the gap between academic ideals and the gritty, exciting reality of building solutions that truly work on the ground. It’s where you realize the immense importance of not just what you build, but how you build it, ensuring it can withstand the unpredictable demands of the real world.

If you've had your own "Huh?" moment in tech, realizing the practical demands of building systems that truly work at scale, you're on the right path. This is precisely where understanding the power of DevOps and Cloud Computing becomes a game-changer. These aren't just concepts; they are the fundamental building blocks of modern, resilient tech solutions that drive real-world impact. They teach you the "how."

What was your biggest "Huh?" moment transitioning from university to the tech world? Share your thoughts!

cj1080:
Hi there.

Thanks for the write up, would really like to know the current trends in Devops.

Studied it back then in 2022, with a school that focused on java bases things, so learnt linux, git, a bit of maven, sonarqube, nexus, aws(s3,ec2,load balancing, vcps), jenkins, terraform and docker.

I never really went indept with these as the school covered only the basic, but i am look to go further a bit now. (still got my notes and videos of each of my classes).

But been learning Frontend and backend for a bit since january, still would really like to know what trends are blowing up now a days in devops.

Also

i see you use gemini, would suggest checking out google ai studio, give you access to the higher models of gemini and it writes better code.

Personally I would advise you focus on CI/CD with Security in mind, Monitoring & Observability, Migration Projects, Data Pipeline setups , Event-Driven Workflows using RabbitMQ and the likes and lastly practices extensively on System Design .....will this you should be ready for any JOB interview whether locally or internationally

Henryfly:
I can relate but not in this depth,

I am currently running an unpaid DevOps internship currently.

Can we connect?

I'd be happy to assist you. Feel free to reach out via WhatsApp at the number below.

When you talk about learning DevOps Engineering or even becoming a Cloud Engineer, one tool that you will inevitably encounter is Kubernetes. Its prevalence extends across the entire landscape of software engineering and development.

Kubernetes is undeniably an important tool, and a solid understanding of it is crucial if you plan to work in the software space, directly or indirectly. It's no wonder that most job descriptions nowadays highlight a required understanding of Kubernetes, as evidenced by its widespread adoption in the industry.

This powerful technology can, however, be overwhelming to initially grasp and utilize—akin to taming a wild horse. Things can quickly go awry, leading to confusion and the perception that learning Kubernetes is inherently difficult and daunting.

If you have ever experienced this, then this article is for you. It's also for those aspiring to work in the software space, particularly in development.

In my opinion, this is how one should approach delving into the world of Kubernetes:

1. Understand Deployment Options: First and foremost, recognize that there are several ways to deploy an application, and Kubernetes is just one of many options available. This perspective helps in understanding its place within the broader ecosystem of application deployment.

2. Grasp Kubernetes Objects: You need to understand what "Objects" are in the context of Kubernetes. Objects are the fundamental "things" running in your Kubernetes cluster—such as Pods, Deployments, and Services. They represent your applications and define how they should operate. How do you create these Objects in Kubernetes? As a DevOps or Cloud Engineer, you typically write a file in a specific structure (YAML) to define and create these objects.

3. Deep Dive into Kubernetes Objects: In my view, once you are able to understand Kubernetes Objects, you have completed approximately 50% of the work required at an introductory level. It's crucial to know that Kubernetes Objects can be broadly categorized into two parts:

3A. Kubernetes Objects for Handling Container Workloads: These objects are designed to manage your applications and their containers. Think of "workload" as a specific task (like "run my website" combined with a "container" as the isolated box holding that task. Kubernetes handles these workloads by ensuring your tasks run smoothly and persistently. Examples of these workload-oriented objects include ReplicaSet, Deployment, StatefulSet, DaemonSet, Job, and CronJob.

3B. Kubernetes Objects for Handling Infrastructure: These objects are used to manage the underlying infrastructure, encompassing aspects like configuration, networking, and security. This category includes:
Networking Objects: Service, Ingress
Storage Objects: PersistentVolumes, PersistentVolumeClaims
Configuration Objects: ConfigMap, Secrets
Autoscaling Objects: Horizontal Pod Autoscaler, Cluster Autoscaler, Vertical Pod Autoscaler


Understanding these three steps will make the practical implementation, when you start configuring these elements on your local machine much more sensible and less like magic. From this foundation, you can then delve deeper without getting lost or confused. Even if you do, you will have a clear path to retrace your steps.

I will be leaving this thread open as I continue to share my thoughts on simplifying Kubernetes. I encourage you to share your insights or leave a comment below. If you have tried or are currently trying this approach, I would appreciate hearing your thoughts and whether you find this helpful.

Hey everyone! So, I've been getting this question a lot lately: "Is DevOps Engineering still profitable in 2025?" Let me tell you what I think, and I'd love to hear your thoughts too!

Think about it for a second. We're living in a world that's practically powered by software, right? Whether it's that cool app you use to order food, the platform that helps your business manage things, or even the systems behind the scenes at big companies – it's all software. And guess what? Just like your car needs regular maintenance, all that software needs someone to keep it running smoothly, make sure it doesn't crash when you need it most, and generally be the unsung hero behind the scenes. That's where DevOps Engineers come in.

Now, just to be clear, a DevOps Engineer isn't the same as a Software Engineer who writes the code. We're more like the folks who build and manage the highways and bridges that the software travels on. We make sure everything is efficient and reliable.

Look at how things are going globally. Countries like the US, Europe, Canada, and Australia have already embraced DevOps big time. Now, Nigeria might be a little behind the curve on this, but if you know anything about how things usually go here, it's only a matter of time before DevOps becomes the standard. That growing demand right here at home is a huge reason why I think it's a solid career choice.

What's also cool about DevOps is that it's not a one-size-fits-all kind of thing. Remember when you're in university studying medicine? You start broad, then you can specialize. It's similar with DevOps. You could become a Site Reliability Engineer (SRE), basically the person who makes sure the systems are always up and running. Or maybe an Automation Engineer, who's all about making those repetitive, time-consuming tasks disappear through clever automation. Then there are CI/CD Specialists who focus on making software updates seamless, or even specialists in specific tools like Terraform or Kubernetes, pipeline experts, or even those working with AI workloads. The options are wide open!

So, yeah, in my honest opinion, DevOps Engineering is still a really promising and profitable path to take. It might seem a bit overwhelming at first, but trust me, it's totally something you can grasp. And with the right guidance from people who know their stuff – like the training you can get at IYAC Technologies for DevOps and Cloud Computing – landing that dream job isn't some far-off fantasy.

What do you guys think? Am I missing anything? Let's chat!

Let's be clear, this isn't about our product. But are you truly aware of the tech landscape....or even the DevOps Engineering landscape? The internet is swimming with free tech knowledge, especially on YouTube. Some of that free stuff? Honestly, it's top-tier, sometimes even better than what you'd shell out serious cash for in a paid course. That's just the raw truth of it.

Now, the question that probably just popped into your head is: if all this amazing free learning is out there, why aren't more people just gobbling it up? Why are folks still dropping their hard-earned naira on paid programs?

You see, I always think of it like going to the gym. You've got two types of people hitting the weights. First, you've got the self-starters, the ones with the iron will. They know what they need to do, they create their own routines, and they push themselves. Then you've got the other crew – the ones who thrive with a coach. They need that extra push, the personalized tips on form, and someone to hold them accountable. Both groups have the same endgame: to get fit and healthy.

It's the same vibe in the tech world. There's this massive ocean of free content. I'm even prepping for a specific certification right now using this incredible YouTube channel – the knowledge is gold! But here's the kicker... the full playlist is like 70+ hours long! Some people are built to dive into that solo, grind it out, and come out the other side with the certification. They're the self-motivated gym rats of tech learning.

But let's be real, a lot of us need that coach. We need the structured curriculum, the deadlines, the live Q&A, the feeling of being part of a community. We need someone to break down those massive 70-hour videos into digestible chunks and give us that nudge when our motivation starts to dip.

So yeah, the free knowledge is out there. It's like having all the workout equipment in your house. But sometimes, what you really need is the structure, the guidance, and the accountability that a good paid program (or a good gym coach) provides. It's not about the quality of the free stuff; it's about how we, as humans, learn and stay motivated. Some of us are solo marathon runners, others need a pace car and a cheering squad. And that's perfectly okay!

Remember the classic IT guy, the System Administrator? They were the server whisperers, the OS gurus, keeping the digital lights on. Think meticulous caretakers of the tech engine room.

Back in the early 2000s, imagine, a typical SysAdmin at a bank. Our world was the physical server room, wrestling with Windows NT, manually patching systems late into the night, and meticulously swapping backup tapes. If a server went down, it was us, physically in the server room, checking cables and hitting the reset button. Automation was a whisper, and collaboration with developers? Mostly just "it's broken on the server."

But the game changed. Software needed to flow faster, the cloud boomed, and the old "developer throws code, operations catches" routine became a bottleneck. Enter the DevOps Engineer. Think of them as the automation architects and team connectors.


The Old Guard (SysAdmin):

Server Focused: Hands-on management of physical machines.
OS Experts: Keep knowledge, manual patching.
Infrastructure Security: Basic firewall and server hardening.
Manual Backups: Tape drives and physical handling.
Reactive Troubleshooting: Fixing issues as they arose.


The New Breed (DevOps Engineer):

Automation Obsessed: Automating everything with code.
Team Bridge: Connecting developers and operations seamlessly.
Toolchain Master: Fluent in cloud tools and automation scripts.
Cloud Native Thinker: Building and running apps efficiently in the cloud.
Proactive Monitoring: Tracking the entire application flow.
Process Improver: Making software delivery faster and smoother.


Think of it like running that bank:

(SysAdmin '04) : The dedicated security guard patrolling the physical vault, ensuring no one breaks in.
A Modern DevOps Team: Designing and implementing automated systems for secure online transactions, instant account access, and seamless updates to the banking app.


The Blurry Lines:

Truth is, the lines are fading. Many SysAdmins have evolved, embracing automation. And many DevOps folks have that crucial infrastructure background. It's about a shift towards automation and teamwork, driven by the need for speed and efficiency.


My personal Opinion:

It's less "us vs. them" and more about tech growing up. The core goal remains: reliable technology. DevOps is the upgrade, automating the old manual processes and fostering collaboration. Whether you started as a SysAdmin or jumped straight into DevOps, it's about adapting and making technology flow seamlessly in this faster-paced world.

If you're trying to get ahead in the world of Cloud Computing and DevOps, just knowing the basic ideas and tools like Terraform, Ansible, or even just how big platforms like AWS work might not be enough anymore. To really stand out, you need to show you can actually do things!

Think of it like this: knowing the rules of a game is one thing, but actually playing and winning is another. Companies hiring in these tech fields want to see that you can handle real-world problems. That's why job interviews often involve asking you what you'd do in specific situations.

So, what kind of hands-on experience should you focus on? Well, one really important area is moving and upgrading systems in the cloud. Lots of companies are shifting their technology around, making their systems newer and better, or even switching to entirely different platforms. If you can show you've worked on these kinds of "migration" projects, it'll really impress people!

Here are some examples of these valuable migration projects:

Moving from regular computer servers (like EC2) to a more modern system called Kubernetes (EKS). This shows you understand how to organize and manage software in a smart way.
Dealing with the sometimes-complicated process of changing website addresses or managing different online names (domain migration). Showing you can handle this in the cloud is a big plus.
Taking existing software systems (like Kubernetes) and making them even more flexible and cost-effective using newer technologies (Serverless). This shows you're thinking about efficiency.
Helping a platform like Heroku (which makes it easy to run apps) move to a bigger and more powerful system like AWS, possibly even using Kubernetes there. This combines a lot of important skills!

Now, here's some good news! IYAC Technologies wants to help people like you get this practical experience. They offer paid training that includes 10 real-world projects designed to give you hands-on practice with the kinds of challenges companies face every day.

Even better, they're also giving FREE access to their training materials for anyone who has a basic understanding of Cloud and DevOps. So, even if you can't do the projects right now, you can still learn a ton from the information they provide, completely for free!

By getting involved in these kinds of projects and taking advantage of resources like the free training materials from IYAC Technologies, you can go beyond just knowing the basics. You'll develop the real-world skills that will help you shine in job interviews and build a successful career in the exciting fields of Cloud and DevOps. It's all about getting practical and showing what you can do!


https://docs.google.com/document/d/18bP6TD1Ia-RN21_JKAaC4S_qbRmb5iVx9848blrLkug/edit?usp=sharing

***note Keep in mind: This resource is constantly updated to reflect the latest trends. Prepare for your future in DevOps and Cloud.

Greydebz:
I just started learning WordPress, and I’m excited to dive in! If you’ve been using it for a while, I’d love to hear your tips. What are the best way to learn it? Any common mistakes to avoid?

Drop your advice in the comments—I’m ready to learn!

What do you aim to achieve? Once you have that answer then begin to walk your way backwards

DevOpsnCloud:
Ever feel like what you learned in school is... kinda different from what people [i]actually [/i]do in tech? You're not alone! This isn't just a Nigeria thing, either. I've personally heard the same from IT master's students in Australia, Germany, and the UK.

It's a worldwide "huh?" moment, where the awesome why behind tech in University feels miles away from the nitty-gritty how of real jobs. Things change so fast in tech that keeping up in a structured curriculum is tough. Plus, jobs get super specific and your broad degree is just the starting point.

My straight-up advice? Don't bet everything on your degree alone.

Seriously, think about joining a bootcamp while you're studying, or even after. It's not too late! Bootcamps are like turbo-charged, hands-on training for the skills companies actually need right now.

And if you're wondering what to focus on? DevOps and Cloud Computing are gold. These skills aren't tied to one specific thing. If you're anywhere near software, directly or indirectly, knowing how to automate stuff and work with the cloud is a massive win. Trust me, it's not wasted effort.

So, learn the theories, sure. But also get your hands dirty. Bridge that gap. Your future in tech will thank you for it.

Evaluating Real-World Relevance: A Review of the Food Inventory App Project

University projects aim to connect theory with practice. Assessing their "real-world" value requires a balanced view. I recently reviewed a Master's level project – a web application for managing household food inventory – and it offers a good case study.


Project Overview

The project focuses on building a system to track food:

Creating categories.
Managing food item details.
Implementing search and listing.
Handling item removal and shopping lists.
Comparing ideal vs. actual quantities.
Designing a user-friendly interface.
Considering Raspberry Pi deployment with local storage.

Crucially, it also emphasizes:
Agile Project Management: Students use agile methods.
CI/CD: There's a CI/CD role with Docker and GitLab pipelines.
Testing: Students define and automate unit tests.
Version Control: Git and GitLab are mandatory for collaboration.


Limitations vs. Strengths

While valuable, it has limitations in fully simulating production:
Scalability: Doesn't cover large-scale performance.
Distributed Systems: Focuses on local storage, not microservices.
Cloud: Lacks cloud platform integration.
Security Depth: May simplify security concerns.
Legacy Systems: Starts from scratch, not integration.

However, the project's strengths are significant:

Agile methodologies.
CI/CD pipelines.
Structured testing.
Git collaboration.

These add real-world relevance, giving students practical DevOps experience often missing in academic work.


Conclusion

The food inventory project, with its DevOps and collaboration focus, is a stronger real-world simulation than it might initially seem. However, it's still simplified. To better prepare graduates, educators should consider incorporating cloud, distributed systems, and complex security where possible.

For those seeking production-grade experience, programs like IYAC Technologies' DevOps and Cloud Computing program, with its focus on building 10 production-grade projects, can be highly beneficial. Reach out if you have questions.

VeeVeeMyLuv:
Nooo
Boss leave them, allow them to continue to wallow in their ignorance

Shebi dem say Artificial intelligence is taking over

@VeeVeeMyLuv It's true that AI is rapidly evolving and taking on more tasks, but it still needs us to guide it and keep it in check. We need to know how to ask it the right questions, and it's super important to double-check what it gives us to make sure it's accurate and makes sense. This combination of human skill and AI power is what really makes things work......you will still need to code(scripting to be precise) , if you are considering a career in DevOps