NewStats: 3,263,699 , 8,181,066 topics. Date: Saturday, 07 June 2025 at 11:36 AM 1gh2r

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, vs), 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, encoming 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. 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 able. 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 ability 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!

the classic IT guy, the System ? 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 Sys 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 (Sys):

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:

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


The Blurry Lines:

Truth is, the lines are fading. Many Syss 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 Sys 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, , 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 ing 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.
Deg a -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.

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, , 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 ing 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.

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

So, I was working on a project recently, and it really got me thinking about how AI is changing things. There's no doubt about it, AI is here to stay! The question we need to be asking ourselves now is, how will it bring real benefits and improvements to everyone's lives?

As a DevOps Engineer, I've been using tools like Google's Gemini and OpenAI's ChatGPT. To be honest, none of them are perfect; they each have their strengths and weaknesses. For example, Gemini can handle large amounts of data, which is a lifesaver when you're troubleshooting those long error logs. But personally, I feel like ChatGPT is better at handling programming challenges.

For those considering a career in DevOps or Cloud Computing, don't be intimidated by the coding! We're in the age of AI! AI tools can even code entire applications on their own.

Think of AI as a powerful assistant that helps you get the job done faster. It can significantly boost your productivity. Why travel from Lagos to Abuja on foot, when you can fly or drive? That's what AI is doing for DevOps.

If you have any questions, feel free to ask!

Okay, so I've been sharing my thoughts on the tech world, specifically diving into the realms of DevOps and cloud computing. And you know what I've noticed? When I get all technical, talking about the nuts and bolts, the interest seems to… well, let's just say it doesn't exactly set the internet on fire. But when I chat about something a little less code-heavy, like career journeys or general industry musings, suddenly there's a lot more nodding heads and "me too!" comments.

It's a funny thing, isn't it? We're all drawn to the big ideas, the cool concepts. DevOps promises streamlined workflows and happy developers. Cloud computing whispers of infinite scalability and on-demand resources. It sounds almost magical.

But here's where I will be straight with you, especially if you're thinking about making a leap into this world: you can't really tiptoe around the technical stuff. It's like wanting to be a chef but never wanting to actually chop an onion or learn how to clean a fish.

Seriously, think about it. How are you going to automate things if you don't understand what you're automating? How can you troubleshoot why your application is throwing errors in the cloud if you're not comfortable digging through logs and understanding server configurations? It's like trying to build a house without knowing how to swing a hammer or read a blueprint.

DevOps and cloud aren't just about fancy tools and trendy methodologies. They're deeply rooted in technology. You'll be spending time wrestling with code (even if you're not a "developer" in the traditional sense), understanding infrastructure as code (which, spoiler alert, is still code!), and constantly learning about new services and how they all fit together.

Look, I get it. Maybe the idea of spending hours staring at a terminal window or deciphering cryptic error messages doesn't exactly make your heart sing. And that's totally okay! The tech world is HUGE. There are so many fascinating and impactful roles out there that might be a much better fit for what genuinely excites you.

Maybe you're a natural communicator who could excel in developer relations or technical marketing. Perhaps you have a knack for organizing and could thrive as a project manager in a tech team. Or maybe you're ionate about the business side of things and could find your niche in product management or sales engineering.

The point I'm trying to make is this: don't just chase the buzz. Don't get swept away by the hype around DevOps and cloud if the thought of getting your hands dirty with the technical details feels like a chore.

Because at the end of the day, this stuff is technical. It requires a genuine curiosity to understand how things work, a willingness to troubleshoot when things inevitably break (and they will!), and a commitment to continuous learning in a field that's constantly evolving.

So, if you find yourself more drawn to the "why" and the "what" of DevOps and cloud, but the "how" feels like a drag, take a moment to really think about what you enjoy doing. There's a perfect spot for you in the tech ecosystem, even if it's not elbow-deep in YAML files.

Let's be real. The technical side of DevOps and cloud might not be the most popular topic at a casual online gathering. But it's the engine that drives everything. If that engine doesn't excite you, don't force it. Find the part of the machine that does, and you'll find a career that's not just a job, but a genuine ion. Your niche is waiting to be discovered!

Javanian:
Due to the numerous "i want to start programming, which language should i start with" threads on this board i decided to create a thread that will address this issue. I am not a wonderful writer and i won't say i know it all but i will try. I urge every one on this board to correct me where i err an also contribute in whatever way you can to make this thread worth it. I will try as much as possible not to be biased in this write up.

I am not going to go into detail in defining what programming is because i will assume before entering this thread you should already know what programming is. But in summary programming is the act of creating whatever you want with your brain and computer programming is the act of creating whatever you want with your brain and a computer. You can read more from

http://en.wikipedia.org/wiki/Computer_programming

Programmers could also be called software programmers, software developers and other big-big names you can think of.

Feel free to ask your questions, i will try and answer the ones i can my Ogas in the house will help me with those i can't answer

Please every Programmer should try as much as possible to check on this thread once in a while to help answer some questions Newbies would like to ask.

Great initiative, Javanian! This is definitely a question that pops up all the time.

Building on this, I think the conversation around "which language to start with" is almost becoming a bit outdated on its own. We live in an era where knowing just one programming language, while still important, doesn't necessarily give you a significant edge anymore.

Instead of solely focusing on the language, perhaps aspiring tech folks should be thinking more intentionally about the role they want to pursue. The question could shift from "Which programming language should I learn?" to "Which tech role will I be able to do?".

Think about it – there's software development, yes, but also DevOps Engineering, Cloud Engineering, IT Project Management, Cybersecurity, and so many other exciting avenues.

Personally, and yes, I'll it I'm biased as a DevOps Engineer and Trainer, I see huge potential in the DevOps and Cloud Computing space. These fields aren't just about writing code in a specific language. They're about understanding the entire software lifecycle, automating processes, building and managing infrastructure, and ensuring applications run reliably and efficiently. These are transferable skills that are in high demand across various industries and technologies.

And here's a thought for the future: wouldn't you want to be in a field that might be a bit more resilient to disruption by Artificial Intelligence? While AI is rapidly advancing and can even write fully-fledged programs, potentially impacting traditional software development roles, the strategic thinking, system design, automation expertise, and problem-solving skills of a DevOps or Cloud Engineer seem a little harder for AI to fully replicate in the near future.

Just my two cents! It's about thinking bigger than just the language...still scratching your head about DevOps? Don't hesitate to DM me with any questions!

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, , 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 ing 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.

Today will be slightly technical than my previous post, so brace yourself.

I know many of us often work with both Windows and Linux. For a long time, I used Vagrant and VirtualBox to set up my Ubuntu environment for coding projects. It was a very convenient setup; I could carry out all my Linux tasks and run my servers without any issues.

However, one day, I ran into problems. Vagrant simply stopped working. I tried troubleshooting it repeatedly, but nothing seemed to fix it. I decided to switch back to using WSL.

WSL (Windows Subsystem for Linux) allows you to run a Linux environment, like Ubuntu, directly within Windows. It seems great in theory, right? But when I tried to set it up, I encountered another problem: I couldn't get the internet to work in my Ubuntu installation! This was a major setback.

You know how crucial internet access is for a developer. How do you packages, or push your code? I was in a difficult situation. I consulted ChatGPT and read numerous blog posts, and it was a very frustrating experience.

Eventually, I found the solution in a Reddit thread. I have to give credit to that person! They suggested installing a tool called wsl-vpnkit. I followed the instructions provided, step by step, and finally, the internet connection was restored.


Initial Setup:

Install WSL1 (Optional): You might encounter fewer initial issues by first installing Ubuntu with WSL1. Open PowerShell as an and type in wsl --install to install Ubuntu. If you don't encounter issues, you can skip to the next step.

Install Ubuntu: If you haven't already, install Ubuntu from the Microsoft Store.

WSL2: Checkout the official documentation https://learn.microsoft.com/en-us/windows/wsl/install .... I observed from several installation that install WSL1 then upgrading to WSL2 saves one the stress of unnecessary troubleshooting but if install WSL2 works out for you at first trail....fine


Resolving Internet Connectivity Issues:

wsl-vpnkit: the wsl-vpnkit.tar.gz file from the GitHub releases page. The link is: https://github.com/sakai135/wsl-vpnkit/releases/tag/v0.4.1

Import wsl-vpnkit: Open PowerShell and import the ed file as a new WSL distribution using the command
wsl --import wsl-vpnkit --version 2 $env:PROFILE\wsl-vpnkit C:\s\\s\wsl-vpnkit.tar.gz
to replace the path in the command with the actual location of your ed file.

Run wsl-vpnkit: To establish the internet connection, open a separate PowerShell window and run the command below on the terminal
wsl-vpnkit
Keep this PowerShell window open in the background.



Optimizing VSCode Connection:

Speed Up VSCode Connection: To improve VSCode's connection speed to WSL, open a separate PowerShell terminal.

Run 'wsl' in PowerShell: In that PowerShell terminal, simply type the wsl and press Enter. Leave this terminal open.
This action seems to pre-initialize WSL, allowing VSCode to connect more quickly.

Connect VSCode: Now, try connecting VSCode to your WSL Ubuntu environment. The connection should be noticeably faster, without the usual long loading times.

Internet Issues in VSCode/WSL: If you still experience internet connectivity problems within VSCode or your WSL Ubuntu environment, open another PowerShell terminal.

Run wsl-vpnkit (with --cd) : In this new PowerShell terminal, run the command:
wsl.exe -d wsl-vpnkit --cd /app wsl-vpnkit
This ensures that wsl-vpnkit is running correctly and that the network connection is properly bridged. Keep this terminal open.



Conclusion
WSL is increasingly important in DevOps and Cloud Computing because it:

Bridges Windows and Linux environments, crucial for heterogeneous setups.

Streamlines development with Windows IDEs and Linux tools, replacing dual-booting/VMs.

Enables consistent, portable, Linux-based environments mirroring production.

Improves automation using Linux tools on Windows.

Facilitates cloud adoption with Docker and Kubernetes (especially WSL 2).

Offers cost-effectiveness by reducing the need for separate Linux machines.

Boosts productivity by allowing developers to use preferred tools on either OS.

WSL enhances efficiency, productivity, and adaptability for DevOps teams, ing cloud adoption with a consistent and portable development environment.

By following these steps, you should have a fully functional WSL Ubuntu setup with internet access, and VSCode should connect to it quickly and reliably.

I’m still surprised when I tell someone that I’m a DevOps Engineer and the usual response I get is, “What’s that?” It’s not entirely unexpected—especially around here. When most people think of tech careers, the default ideas are cybersecurity, software development, or software engineering. Rarely does DevOps or cloud computing enter the conversation.

This lack of awareness is not just among individuals, but even within many companies. Despite the growing global emphasis on cloud-native practices and agile software delivery, DevOps and cloud computing are still not widely discussed or embraced in some environments. Many organizations have yet to fully grasp the real-time value DevOps brings to the table. At the end of the day, business outcomes drive attention—and until business leaders start to see DevOps as a value-add, the role often remains misunderstood or underutilized.

Interestingly, those who do know about DevOps often pursue it quietly. There’s a sense of keeping things under wraps—maybe it’s strategic, maybe it's cultural (avoiding Village people). But it’s happening. The knowledge is spreading, albeit in the background.

Here’s the truth: building software solutions or applications is no longer enough. We’ve entered an era where automation, monitoring, observability, and cross-functional collaboration are just as important—if not more important—than writing the code itself.

Let’s break that down:

Automation ensures we’re not wasting time on repetitive tasks.

Monitoring and Observability allow us to understand why applications are not behaving as expected.

Collaboration across teams ensures faster and more reliable delivery of features, updates, and fixes.


Cloud computing provides the scalability and flexibility needed in today’s fast-paced development cycles.

In short, DevOps is not a role for a select few—it’s a foundational practice that intersects almost every modern tech role. Whether you’re directly involved in software development or your work touches any part of the product lifecycle, understanding DevOps and cloud computing is now essential. It’s the equivalent of needing a in Mathematics and English to get into a university—it’s just expected.

To help bridge this knowledge gap, we’ve started hosting onboarding sessions that introduce DevOps in a simple, relatable way. These sessions help people see how DevOps cuts across multiple disciplines and why it's becoming a must-have skillset. You can check out one of our recent onboarding discussions via the link below. Feel free to speed up the playback if you’re short on time.

[Watch the session here – https://drive.google.com/file/d/1dgW_RCU_wctHUMZamb-XPpRm9jqQ5nm0]

Let’s move the conversation beyond just code and security. Let’s talk about infrastructure, automation, scalability, and delivering better software—because that’s what DevOps is all about.

Let’s be honest — setting up a development environment isn’t always as smooth as it sounds. You think it’s just “Install a few tools and get started,” right? Then boom — you're knee-deep in terminal errors, trying to figure out why your app won’t run while silently questioning your entire life choice.

If that sounds familiar, you're not alone. Setting up your dev environment is often the first real challenge of any tech journey. And while it might seem like a simple task, it can be the most frustrating part if things go sideways.

So let’s talk about the real stuff — the struggles people don’t always mention.

1. Too Many Tools, Too Many Options
First off, there’s so much stuff out there.

Do you use VS Code or IntelliJ? Node 16 or Node 18? Docker or just run it locally? Everyone has an opinion, and Googling often leaves you more confused than when you started.

It’s like trying to build a house and not knowing which tools go with what. You're just hoping something works.


2. “It Works on My Machine” Syndrome
You’ve followed the instructions to the letter, but your project still won’t run. Meanwhile, it’s working perfectly fine for your colleague.

Turns out, you’re using different versions of a tool — and that tiny difference breaks everything. Welcome to version hell.


3. Missing Dependencies = Hidden Landmines
Ever run a project and get an error that says some weird package is missing? You’re not sure what it is, you’ve never heard of it, but your app refuses to run without it.

Yep. That’s what missing dependencies feel like — small things that bring everything to a screeching halt.


4. Config Files Can Get Complicated Real Quick
You might think editing a .env file or tweaking a docker-compose.yml should be easy... until it isn’t. One wrong line or missing quote and your environment just crashes.

And the worst part? The error messages don’t always help. You’ll be staring at your screen like, “What even is this?!”


5. Different OS, Different Drama
If you're on Windows and your teammate is on Mac or Linux, you might be in for a surprise. Some commands don’t work the same way, paths behave differently, and random permission errors start popping up.

Suddenly, teamwork becomes tech .


6. Corporate Networks and Proxy Drama
If you're working in a restricted environment — maybe a company laptop or a corporate network — getting packages installed becomes a mission.

You may need to set proxy configs, use VPNs, or jump through approval hoops just to get started. It’s exhausting.


7. Doing Everything Manually
One of the biggest headaches? Doing the entire setup manually — every single time.

Installing tools, copying settings, redoing everything when switching machines… that’s not just annoying, it’s time-consuming. This is where automation tools like Docker, Makefiles, or setup scripts come in clutch. But learning those tools takes time too.


So, What Can You Actually Do?
If you’re in the thick of it right now, here are a few things that might help:

Start small. Don’t try to learn and install everything at once. Pick a basic stack and get that working first.

Write things down. Create your own setup guide as you go. You’ll thank yourself later.

Use tools like Docker or version managers to keep your environment consistent.

Look for starter templates or boilerplates to reduce setup time.

Automate where you can. A simple shell script can save hours in the long run.

Don’t be afraid to ask for help. You’re not dumb — this stuff really is tricky, especially when you’re just starting out.


Final Thoughts
Setting up your dev environment can be a headache. It can also be the first real test of your persistence as a techie. But here’s the upside — once you figure it out, you’ll feel like a superhero.

So take your time. Tinker, break stuff, fix it, and learn along the way. Every frustrating error message is part of the process — and trust me, we’ve all been there.

Need help setting yours up or don’t know where to start? Drop me a message. We’ll figure it out together.

You've probably heard it before — in forums, tech meetups, YouTube videos:
“Just use Kubernetes.”

It’s become the go-to answer for all infrastructure problems, especially in DevOps circles. But if you’re new to this world or even have some IT experience, you might be asking yourself — what exactly is the question that Kubernetes is trying to answer?

Let’s walk through a real-world scenario to make it clearer.


Meet Natasha

Natasha is a software engineer at a growing startup. She’s smart, resourceful, and has been writing code for a few years. Her team just rolled out a new feature, and all seems good...until the production server crashes a few hours later.

She jumps in to troubleshoot and quickly realizes:
- One server is still running an old version of the app.
- Another one ran out of memory.
- Logs are scattered across machines.
- And no one can confidently say which version is live.

The stress is real. Every deployment feels like walking a tightrope without a safety net. And though they’ve started using Docker to package their apps, the team still manually manages everything — from deployments to restarts to scaling. It’s messy, unpredictable, and exhausting.


So What’s the Actual Problem?

Natasha isn’t dealing with just one issue. She’s dealing with a system that doesn’t scale well, isn’t fault-tolerant, and requires too much manual effort.

What she really needs is a way to:
- Automatically deploy her applications the right way every time
- Ensure the right version is always running
- Scale apps up or down depending on demand
- Restart apps when they crash
- Roll back when something goes wrong
- Keep things consistent, no matter who on the team is deploying

In other words, she needs orchestration — a way to manage all the moving parts without doing it all by hand.


Enter Kubernetes
Kubernetes comes into the picture when your systems start getting complex. When managing one or two servers becomes managing five, ten, or fifty — that’s when it shines.

It gives you a way to describe what your system should look like, and then it works behind the scenes to make it happen. If a part of your app crashes, Kubernetes restarts it. If traffic spikes, Kubernetes can spin up more copies of your app. If you release a bad update, Kubernetes can help you roll it back smoothly.

But here’s the thing: Kubernetes wasn’t designed to be the first tool you learn. It’s designed to solve a specific class of problems. And before Natasha could really make use of it, she had to build some foundational knowledge first — things like containerization with Docker, basic networking concepts, and automation tools like CI/CD.


The Bigger Picture
It’s tempting to jump on whatever is trending in tech. Kubernetes is flashy, powerful, and everyone seems to be using it. But if you’re new to DevOps, the smarter move is to understand the problems first, then explore the tools that solve them.

Kubernetes is powerful, but only if you're asking the right questions.

If you're dealing with growing complexity, constant deployment errors, inconsistent environments, or scaling issues — then Kubernetes might just be the answer you’re looking for.

But if you're not there yet, that's okay. Focus on building your fundamentals. The tools will make a lot more sense when you're ready for them.


So next time someone tells you “Kubernetes is the answer,” pause and ask: “Yeah, but what was the question?”
If you can answer that honestly — congratulations. You're thinking like a DevOps engineer.

DevOps and Cloud Computing are way deeper than most people realize at first glance. It’s not just about deploying code or spinning up servers—once you step into enterprise-level projects, the complexity can escalate real quick. That’s why having a strong foundational knowledge is absolutely crucial.


Wearing Multiple Hats as a DevOps Engineer
One of the most exciting things about working in DevOps is the variety. You’re not confined to a single role. Some days, you're thinking like a business analyst, aligning technical solutions with business goals. Other days, you’re in developer mode, writing scripts or debugging pipelines. And sometimes, you find yourself managing timelines and deliverables like a project manager.


Simply put, you're a jack of all trades in the software space. It’s challenging—but incredibly rewarding.


For Beginners: Your Free Resource Awaits
If you’re just starting your journey or simply curious about what DevOps and Cloud Computing are all about, we’ve got you covered.

We're giving away one of our resources absolutely FREE to help you build that essential foundation. It’s designed to help you make smarter, more informed decisions about your career path in this space.

And if you're like me, feel free to 2x the playback speed—I don’t speak very fast anyway
https://drive.google.com/file/d/1dgW_RCU_wctHUMZamb-XPpRm9jqQ5nm0/view?usp=sharing


Ready to Get Started?
If you’ve got questions or you’re ready to kick-start your DevOps and Cloud journey, feel free to reach out to us on WhatsApp. Whether you're curious or committed, we’re here to you every step of the way.

You’ve just decided to break into the world of DevOps and Cloud Engineering. You’ve watched a few YouTube videos, ed a Telegram community, and even picked up a few online courses. But just when you think you’re getting a grip on things, someone throws around words like Jenkins, Terraform, Kubernetes, GitLab CI/CD, Prometheus, and ArgoCD… and suddenly, you feel like you’re drowning in an ocean of tools you’ve never heard of.

If that sounds like you, take a deep breath. You’re not alone—and yes, there is a way to navigate this chaos.


The DevOps Iceberg: What You See vs What’s Underneath
Most newcomers see DevOps as a shiny path to high-paying roles, cloud certifications, and exciting infrastructure challenges. But once you dip your toes in, it feels more like walking into a tech supermarket with no shopping list.

Do you learn Docker before Kubernetes? Is Jenkins still relevant? Should you master Ansible, or is Terraform better? Wait… what even is IaC?

It’s no wonder that many aspiring DevOps engineers feel overwhelmed and even discouraged. The truth is: DevOps is broad, and it's normal to feel lost at first.


The Journey is Not Linear (And That’s Okay)
Let me share a little secret: even experienced engineers once stood where you are.

When I first started, I tried to learn everything at once. I had 30 tabs open on my browser, from learning bash scripting to setting up EC2 instances on AWS, and trying to connect a pipeline on GitHub Actions—only to get confused about YAML syntax errors.

What changed? I stopped trying to master everything and started learning with purpose.


Start With the Fundamentals
You don’t need to know every tool under the sun. What you need is a solid foundation and a path. Here’s how to simplify your journey:

1. Understand the “Why” of DevOps
DevOps isn’t about tools—it’s about culture, collaboration, and automation. Tools are just enablers. Before diving into Jenkins or Helm, understand the principles:

Continuous Integration (CI)

Continuous Delivery/Deployment (CD)

Infrastructure as Code (IaC)

Monitoring & Logging

2. Pick One Use Case and Build From There
Let’s say you want to deploy a simple web application.

Start with:

Git for version control

Docker for containerization

GitHub Actions or GitLab CI for automating builds

AWS or any cloud provider to host it

That’s enough for a full DevOps project when you’re starting out.

3. Learn in Layers, Not Leaps
Imagine DevOps as an onion. You peel it layer by layer. Begin with:

Bash & basic Linux

Git & GitHub

Docker Then go deeper:

CI/CD pipelines (Jenkins, GitHub Actions)

Terraform (IaC)

Kubernetes (when you’re ready!)


Focus Beats FOMO
It’s easy to feel the Fear of Missing Out (FOMO) when you see job descriptions asking for a laundry list of tools. But companies don’t expect you to know everything from day one. They’re looking for someone who understands how to solve problems with tools, not just name-drop them.


Practical Advice to Stay Sane
Use a roap: roap.sh/devops is a great place to start.

Build real-world projects: Don’t just watch tutorials—deploy your code, break things, and fix them.

Document your journey: Use a blog, GitHub REE, or even Twitter. It helps you learn and shows others your progress.

communities: You’ll find , mentorship, and opportunities. Telegram, Discord, Reddit, LinkedIn—all have great DevOps circles.


: Calm Is a Superpower
You may be calm by nature or trying to remain calm in the face of confusion. Either way, staying composed will be your biggest asset. DevOps is about solving complex problems under pressure. The ability to slow down, ask the right questions, and learn one tool at a time will set you apart.


Final Thoughts
If you’re feeling overwhelmed by the vast landscape of DevOps and Cloud tools—breathe. Focus on learning one concept at a time, build small, and celebrate your progress.

You don’t need to master 100 tools. You need to master how to think like a problem solver, and the rest will follow.

Need help crafting your DevOps & Cloud Computing learning path? Drop a comment or reach out— We've all been there, and at IYAC Technologies we've got your back.

Cloud computing and DevOps have become essential in today’s tech-driven world, with certifications often positioned as a gateway to career success. However, the reality is more nuanced. While certifications can be beneficial, they are not always a requirement for securing a job in the industry.


Are Cloud Certifications a Must-Have?
Certifications serve as a validation of knowledge and commitment, making a candidate more attractive to recruiters. However, they do not necessarily prove real-world competency. Many professionals have secured DevOps and cloud-related roles without certifications, while others with multiple credentials still struggle to land a job.


The Cost Barrier for Nigerian Professionals
Cloud certifications can be expensive, especially for individuals in Nigeria where currency exchange rates and economic conditions make them even less accessible. Exam fees, training courses, and preparation materials can quickly add up, making it challenging for aspiring cloud engineers and DevOps professionals to pursue them.


Alternative Pathways: Hands-On Experience and Portfolio Building
For those who cannot afford certifications, hands-on experience and a strong portfolio can be just as valuable. Employers prioritize practical skills, problem-solving abilities, and real-world experience. Contributing to open-source projects, building personal projects, and gaining experience through internships or freelance work can demonstrate competence more effectively than a certification.


Structured Training Without the High Costs
For those looking for structured learning, investing in a quality training program can be a cost-effective alternative to expensive certifications. At IYAC Technologies, we offer one of the best instructor-led DevOps and Cloud Training programs for under ₦350,500. This provides an opportunity to gain hands-on experience, mentorship, and industry insights without the financial burden of high-cost certifications.


Conclusion
Certifications can be an asset, but they are not a requirement for success in DevOps or cloud computing. If you have the means to pursue them, they can give you a competitive edge. However, if cost is a barrier, focus on gaining practical skills and building a strong portfolio. In the end, real-world expertise and hands-on experience will always be the key to long-term career growth.

Drop a comment below let's engage or feel free to WhatsApp us on +2349028083613 for more info

Over the years, I've had the privilege of guiding aspiring DevOps and Cloud Computing professionals. And while the enthusiasm is often palpable at the start, the journey is rarely smooth. I've witnessed too many bright minds falter, their dreams of a tech career fading into the background. This experience has taught me a crucial lesson: the struggle to learn DevOps is a complex issue, with blame to be shared between both learner and trainer.

Let's be frank, DevOps without cloud is like a car without wheels. In today's landscape, whether you're building pipelines, automating deployments, or managing infrastructure, the cloud is your playground. Yet, a significant hurdle I've observed is the lack of hands-on experience with cloud platforms like AWS, Azure, or G.

Imagine trying to teach someone to swim by just showing them diagrams of strokes. It's ludicrous, right? Similarly, bombarding students with theoretical concepts about EC2 instances, Kubernetes clusters, or serverless functions without giving them the opportunity to actually use them is a recipe for disaster.

The problem isn't just about understanding the terminology; it's about developing the muscle memory of navigating the cloud console, troubleshooting errors, and building real-world solutions. Many training programs fall short here, relying on slides and lectures instead of practical labs and projects.


However, the learner isn't entirely blameless. I've seen students who

Lack the discipline to practice consistently. DevOps is a skill, not just knowledge. It requires dedication and persistent effort.

Fail to ask questions and seek help .The cloud is vast and complex. Don't be afraid to it you don't understand something.

Give up too easily when faced with challenges .Debugging errors and solving problems is a core part of a DevOps engineer's job.  
So, how do we bridge this gap?


For Trainers

Prioritize hands-on labs and projects. Design courses that focus on practical application rather than just theory.

Provide access to real cloud environments. Utilize free tiers or educational s to give students access to AWS, Azure, or G.  

Encourage experimentation and failure. Learning from mistakes is crucial in DevOps. Create a safe space for students to experiment and troubleshoot.  

Offer mentorship and . Guide students through complex concepts and provide personalized .

Keep the training up to date. Cloud technologies are constantly evolving. Ensure your curriculum reflects the latest trends and best practices.


For Learners

Embrace the challenge . DevOps is a demanding field, but the rewards are worth it.

Dedicate time to practice .Set aside regular time to work on labs and projects.

Build a portfolio of projects. Showcase your skills by creating real-world applications and deploying them to the cloud.

online communities and forums. Connect with other DevOps professionals and learn from their experiences.

Never stop learning. The cloud is a constantly evolving landscape. Stay curious and keep exploring.

Ultimately, the journey to mastering DevOps requires a collaborative effort. By prioritizing hands-on experience and fostering a ive learning environment, we can empower the next generation of DevOps engineers to thrive in the cloud-driven world. Let's move away from the "lecture and slide" method, and instead, focus on "build, break, and fix" practices.....If you're ready to embrace the challenge and gain the practical skills needed to excel in this dynamic field, consider exploring the comprehensive DevOps Training and Cloud Computing Training programs available at IYAC Technologies

The rapid evolution of cloud computing and DevOps is undeniably transforming businesses, but it also presents a significant learning challenge. Many find themselves overwhelmed by the sheer volume of technical terminology and complex concepts. It's easy to feel lost in a sea of acronyms and abstract diagrams. This article aims to address these common challenges and provide practical strategies for navigating this complex landscape.


The Reality of the Learning Curve
Let's be honest, encountering like "containers," "Kubernetes," "Infrastructure as Code," and "CI/CD pipelines" can be daunting. The abstract nature of cloud services, often presented through conceptual models, adds to the complexity. It's understandable to feel confused when faced with this influx of new information.


Addressing Common Misconceptions

The Cloud is Simply Someone Else's Computer: While technically accurate, this oversimplification ignores the intricate infrastructure, services, and management systems that underpin cloud computing.

DevOps is Just Automation: Automation is a vital component, but DevOps is fundamentally a cultural shift that emphasizes collaboration, communication, and continuous improvement across development and operations teams.

Cloud Solutions are Always Cost-Effective: While cloud services can offer significant cost savings, improper planning and resource management can lead to unexpected expenses.


Practical Strategies for Clarity
Establish a Strong Foundation: Begin with a solid understanding of fundamental cloud concepts, such as IaaS, PaaS, and SaaS. Gradually progress to more advanced topics.

Prioritize Hands-on Experience: Practical application is essential. Utilize free tiers and trial s offered by cloud providers to experiment with services and build projects.

Utilize Visual Aids: Leverage diagrams, flowcharts, and architectural designs to enhance understanding of complex concepts. Visual representations can provide valuable clarity.

Engage with the Community: Participate in online forums, communities, and meetups to ask questions and learn from others' experiences.

Invest in Structured Learning: Consider enrolling in online courses, certifications, and training programs designed to demystify cloud and DevOps concepts.


Acknowledging the Learning Process
Mastering cloud and DevOps requires time and dedication. The learning curve is steep, but the rewards are substantial. By adopting a structured approach, engaging with the community, and prioritizing practical experience, individuals can effectively navigate this complex field.



For those seeking structured guidance and hands-on training, consider exploring resources and training programs that can accelerate the learning process....we offer one of the best instructor led DevOps and Cloud Training for under #350,5000

It starts like any other day—power is doing hide and seek, the internet is deciding whether it wants to work, and someone, somewhere, is about to break production.

6:30 AM – The Morning Ritual
My alarm goes off. I hit snooze. Twice. Eventually, I drag myself out of bed and check my phone. First stop? The work group chat.

No "URGENT" messages? Good sign. But I know better than to trust this fake peace.

I check the infrastructure dashboard. Everything looks fine. But in this job, "fine" is just a polite way of saying, enjoy the calm before the storm.


9:00 AM – Standup, AKA the Blame Game
The team gathers on Zoom.

Frontend: "The backend is slow."
Backend: "The database is the problem."
Product Manager: "Why isn’t this feature live yet?"

Then it's my turn.

"Just monitoring deployments and ensuring stability."

What I really mean: "I’m praying nothing catches fire today."


11:30 AM – First Fire of the Day
A developer pings me.

"The app is slow. It must be the server."

I already know where this is going. I check the logs. Database queries are dragging like Lagos traffic on a Monday morning. I run a quick check.

And there it is. Someone pushed an update and forgot to use indexes. Now every search request is scanning the entire database like a security man checking a visitor’s bag.

I fix it, restart the service, and watch response times drop.

"All good now."

"Wow, what did you do?"

"Magic."


2:00 PM – CI/CD Wahala
A developer: "My code works fine locally, but it's failing in the pipeline."

I check the logs. Missing environment variables. I point it out.

"Ohhh, I forgot to add those."

I update the documentation (again) and consider tattooing "Works on my machine is not an excuse" on my forehead.


4:00 PM – Deployment Drama
A new release is scheduled for deployment. Everyone is watching like it’s a penalty shootout.

The pipeline runs. Tests . Deployment starts.

Then—error.

I check the logs. The frontend is calling http://localhost:5000/api.

But this is production. There is no localhost in production.

I fix the URL, restart the deployment, and finally—success.


10:30 PM – The Late-Night Surprise
Just as I’m about to shut down for the day, I get a message.

"Hey, production is acting funny. Can you check?"

I sigh, take a deep breath, and open my laptop.


Because in DevOps, the day isn’t over until production says so.