Most engineers believe the gap between where they are today and where they want to be is a knowledge problem.
They think they need a better course.
A better roadmap.
A better mentor.
A better explanation.
A better study plan.
And because of that belief, they spend years searching for the next resource that will finally make everything click.
But after more than two decades in networking, I’ve noticed something uncomfortable:
The engineers who move the fastest are rarely the engineers who consume the most information.
In fact, some of the fastest-growing engineers I’ve ever met weren’t doing anything particularly clever.
They weren’t finding secret resources.
They weren’t using hidden study methods.
They weren’t discovering shortcuts.
They were doing something far less exciting.
And far more effective.
A little over a year ago, I received an email from Siddhi Bhardwaj.
Today, Siddhi is known as the youngest CCIE in the world.
But that’s not the interesting part.
The interesting part is what he was doing long before anyone knew his name.
Because hidden inside his story is the same lesson I’ve seen repeated over and over again throughout my career.
A lesson most engineers don’t learn until years later.
If they learn it at all.
Most Engineers See The Number. They Miss The Process
When people hear “youngest CCIE in the world,” their attention immediately goes to the outcome.
The certification.
The achievement.
The number.
The record.
That’s normal.
We’re naturally drawn to results.
It’s the same reason people look at elite athletes and wonder what workout they use.
Or look at successful entrepreneurs and ask what book changed their life.
We see the visible result and immediately start searching for the missing ingredient.
The thing nobody wants to hear is that the answer is usually much less exciting than we hope.
Most breakthroughs are not created by a single insight.
They’re created by a process repeated long enough to compound.
And that’s exactly why so many engineers become frustrated with their own progress.
They’re comparing their daily routine to someone else’s outcome.
They see the certification.
But they don’t see the thousands of small interactions that happened before it.
They don’t see the nights spent troubleshooting a problem that should have taken ten minutes but somehow consumed three hours.
They don’t see the labs that had to be rebuilt from scratch.
They don’t see the configurations that failed.
The commands that were forgotten.
The protocols that behaved differently than expected.
The mistakes.
The repetition.
The boredom.
The consistency.
That’s the part almost nobody talks about because it doesn’t make for a very exciting success story.
Yet it’s usually the most important part of the story.
In Siddhi’s email, there was one phrase that stood out to me more than anything else:
“I’ve spent countless hours practicing in EVE-NG labs…”
Not dozens.
Not a few weekends.
Countless hours.
Think about that for a moment.
Because most engineers dramatically underestimate what that actually means.
Countless hours isn’t a productivity hack.
It’s not a study technique.
It’s not a shortcut.
It’s exposure.
Repeated exposure.
The kind of exposure that slowly changes the way your brain responds to networking problems.
And that’s where the story becomes interesting.
Because the lesson hidden inside Siddhi’s journey has very little to do with being the youngest CCIE in the world.
It has everything to do with how expertise is actually built.
The Dangerous Fantasy Most Engineers Secretly Believe
Over the years, I’ve noticed a pattern that shows up almost everywhere in networking.
CCNA candidates believe it.
CCNP candidates believe it.
Even engineers preparing for the CCIE sometimes believe it.
The belief sounds reasonable on the surface.
In fact, it’s so reasonable that most people never question it.
It goes something like this:
“If I can just find the right resource, everything will finally click.”
The right course.
The right workbook.
The right instructor.
The right YouTube channel.
The right study plan.
The right roadmap.
The right lab collection.
The assumption is always the same:
The missing piece is out there somewhere.
And once I find it, progress will accelerate.
The problem is that this belief feels true because occasionally a great resource really does help.
A good instructor can save you months of confusion.
A well-designed lab can make a protocol easier to understand.
A great explanation can unlock a concept that never made sense before.
But over time, many engineers quietly cross an invisible line.
They stop using resources to support progress.
And start using resources as a substitute for progress.
That’s when things become dangerous.
Because now every learning problem starts looking like a resource problem.
Feeling stuck?
Buy another course.
Feeling confused?
Watch another video.
Not confident?
Find another explanation.
Struggling with BGP?
Maybe somebody else explains it better.
Having trouble with automation?
Maybe there’s a better roadmap.
At first, this feels productive.
It feels like you’re moving forward.
After all, you’re doing something.
You’re studying.
You’re researching.
You’re learning.
But months later, many engineers find themselves in a frustrating position.
They know more.
Yet somehow they don’t feel significantly more capable.
The protocols look familiar.
The terminology feels familiar.
The concepts make sense while somebody else is explaining them.
But the moment they sit in front of a blank topology, uncertainty returns.
And that’s where most people make the wrong diagnosis.
They assume they still need more information.
When often the opposite is true.
What they need is more interaction.
Because networking has a strange property that many technical fields share:
Knowledge accumulates quickly.
Confidence accumulates slowly.
You can learn what OSPF does in an afternoon.
You can understand BGP path selection in a few hours.
You can memorize spanning-tree states surprisingly fast.
But operational confidence develops on an entirely different timeline.
It develops through exposure.
Through repetition.
Through troubleshooting.
Through making mistakes and seeing what happens.
Through sitting inside uncertainty long enough that the uncertainty itself stops feeling threatening.
And that’s exactly why two engineers can consume the same information and end up in completely different places a year later.
One keeps searching for better resources.
The other keeps returning to the lab.
The first engineer feels busy.
The second engineer gets better.
Not because they’re smarter.
Not because they found a secret.
But because they eventually discovered something most engineers learn far later than they should:
Expertise is rarely built by finding better information.
It’s usually built by spending more time interacting with what you already know.
What Siddhi Was Really Compounding
When people look at exceptional outcomes, they usually focus on what is visible.
The certification.
The promotion.
The salary.
The achievement.
The milestone.
What they rarely examine is what was compounding underneath the surface for months or years before anybody noticed.
That’s where the real story usually lives.
Because Siddhi wasn’t compounding certifications.
He wasn’t compounding credentials.
He wasn’t compounding LinkedIn announcements.
He was compounding interactions.
Every lab completed added another layer of familiarity.
Every troubleshooting session added another layer of recognition.
Every failed configuration added another layer of understanding.
Every protocol behavior that once felt confusing became slightly less confusing the next time it appeared.
And that process creates something most engineers struggle to measure:
Pattern recognition.
If you’ve been in networking long enough, you’ve probably experienced this yourself.
A newer engineer looks at an issue and sees chaos.
An experienced engineer looks at the same issue and immediately starts narrowing possibilities.
Not because they’re guessing.
Not because they’re lucky.
Because they’ve seen similar behavior hundreds of times before.
Their brain has built a library of experiences.
They recognize patterns that other engineers haven’t accumulated yet.
And that recognition becomes incredibly valuable under pressure.
Especially when the network isn’t behaving the way the documentation says it should.
Because real networking rarely looks like certification diagrams.
Real networks are messy.
Multiple technologies interact.
Configurations evolve over time.
Engineers inherit decisions they didn’t make.
Unexpected behaviors appear.
And the solution is not always sitting neatly inside a textbook chapter.
That’s why experience compounds differently than knowledge.
Knowledge tells you what should happen.
Experience teaches you what actually happens.
And the gap between those two is where many engineers spend years struggling.
This is one of the reasons I believe the networking industry sometimes overemphasizes information and underestimates exposure.
Everyone talks about learning.
Far fewer people talk about repetition.
Everyone talks about resources.
Far fewer people talk about volume of interaction.
Everyone wants to know which course somebody used.
Almost nobody asks how many hours they spent inside the lab.
Yet that’s often the variable that matters most.
Because networking confidence isn’t built when you understand a protocol once.
It’s built when you’ve interacted with it so many times that the behavior stops surprising you.
And that’s exactly what Siddhi was compounding.
Not knowledge alone.
Exposure.
Repeated exposure.
The kind that slowly transforms networking from something you study…
into something you recognize.
And once that transformation begins, progress often starts accelerating in ways that look mysterious from the outside.
But from the inside, it’s usually much simpler.
The engineer just kept showing up long enough for the repetitions to compound.
Why Consistency Looks Boring From The Outside
One of the reasons people underestimate the power of consistent practice is because consistency is incredibly uninteresting to watch.
Nobody posts a screenshot of Lab #347.
Nobody writes a LinkedIn post about spending two hours troubleshooting a routing issue they eventually discovered was caused by a single typo.
Nobody celebrates opening the same topology for the twentieth time.
Those moments don’t look impressive.
They don’t generate attention.
They don’t make exciting stories.
They’re repetitive.
Quiet.
Predictable.
And from the outside, they often look insignificant.
That’s why most people become fascinated by breakthroughs while completely ignoring the process that created them.
We love dramatic moments.
The promotion.
The certification.
The new job.
The CCIE number.
The announcement.
Those moments are visible.
What isn’t visible are the hundreds of ordinary decisions that happened before them.
The evenings when nobody was watching.
The weekends spent rebuilding labs.
The decision to open the topology one more time when it would have been easier to watch another video instead.
The repetition that nobody notices while it’s happening.
Ironically, that’s where almost all meaningful progress comes from.
Not from intensity.
Not from inspiration.
Not from occasional bursts of motivation.
From consistency.
The problem is that consistency feels slow while you’re living through it.
Day to day, it barely feels like anything is changing.
You finish a lab.
Then another.
Then another.
You troubleshoot an issue.
You learn something small.
A week later you forget part of it.
Then you encounter it again.
Then again.
Then again.
And because the progress is gradual, many engineers assume they aren’t progressing fast enough.
So they start looking for acceleration.
A shortcut.
A faster method.
A better resource.
A more efficient path.
What they don’t realize is that the repetition itself is the acceleration.
Because every interaction is adding another layer to something they can’t easily see.
Familiarity.
Recognition.
Pattern matching.
Operational judgment.
The ability to stay calm when the network behaves unexpectedly.
Those skills don’t appear suddenly.
They accumulate quietly.
Which is exactly why they are easy to underestimate.
James Clear wrote that success is often the delayed result of habits that were repeated long before the outcome became visible.
Networking behaves the same way.
For months, it looks like nothing is happening.
Then suddenly somebody passes the certification.
Gets the promotion.
Handles the outage.
Solves the problem.
And everyone looking from the outside assumes the breakthrough happened recently.
It didn’t.
The breakthrough was being built long before anyone could see it.
That’s why Siddhi’s story isn’t remarkable because he became the youngest CCIE in the world.
It’s remarkable because he was willing to do what most people eventually stop doing.
He kept showing up.
Again.
And again.
And again.
Long enough for the repetitions to become something bigger than repetition.
Long enough for them to compound.
The Moment Repetition Stops Feeling Like Repetition
Something interesting happens after enough time in the lab.
Most engineers never hear anyone talk about it.
Probably because it’s difficult to measure.
And even harder to notice while it’s happening.
At the beginning, every lab feels expensive.
You have to think about everything.
Every command requires attention.
Every troubleshooting step feels deliberate.
Every mistake feels significant.
The mental effort is enormous.
That’s normal.
The brain is still trying to build a model of how the network behaves.
But after enough exposure, something starts changing.
Not the protocols.
Not the commands.
The engineer changes.
The same OSPF problem that once consumed an entire evening now takes fifteen minutes.
The same spanning-tree issue that once felt confusing now feels familiar.
The same BGP behavior that once seemed unpredictable now feels expected.
The engineer isn’t working harder.
They’re recognizing faster.
This is where many people misunderstand expertise.
They assume experienced engineers move quickly because they know more.
Sometimes that’s true.
But often they move quickly because they’ve removed thousands of small moments of uncertainty through repeated exposure.
They’ve seen the pattern before.
They’ve made the mistake before.
They’ve already spent time being confused by the exact thing that’s happening now.
And that’s why networking starts feeling different after enough repetition.
The engineer no longer approaches every problem as a completely new problem.
Instead, they start seeing variations of things they’ve already encountered.
That changes the emotional experience dramatically.
The lab becomes less intimidating.
Troubleshooting becomes less stressful.
Uncertainty becomes less threatening.
And this is where many engineers accidentally discover something powerful:
Consistency gets easier after consistency has already been established.
In other words, the first hundred hours are usually harder than the second hundred.
Not because the labs become easier.
Because the resistance becomes smaller.
The engineer spends less energy convincing themselves to begin.
And more energy actually interacting with the network.
This is one of the reasons highly skilled engineers often appear unusually disciplined from the outside.
People assume they’re simply more motivated.
More focused.
More committed.
But many times the reality is much less dramatic.
They’ve simply reduced the friction between themselves and practice.
Opening the lab feels normal.
Troubleshooting feels normal.
Building topologies feels normal.
The behavior that once required motivation now feels routine.
And that’s an important distinction.
Because most engineers spend years trying to increase motivation.
While the engineers making the fastest progress are often doing something else entirely.
They’re reducing friction.
They’re making it easier to enter practice repeatedly.
Because whether people realize it or not, networking confidence is usually built by frequency, not intensity.
Not one massive weekend.
Not one heroic study session.
Not one burst of motivation.
Repeated interaction.
Repeated exposure.
Repeated contact with real network behavior.
That’s where confidence comes from.
And once an engineer understands that, a very different question starts appearing:
If repetition is the real advantage…
what makes repetition easier to sustain?
The Hidden Cost Most Engineers Never Calculate
When engineers think about improving their skills, they usually focus on what they’re getting.
A new course.
A new workbook.
A new certification.
A new lab collection.
Very few people stop to think about what they’re losing.
And sometimes, that’s the more important number.
Because the most expensive thing in networking isn’t money.
It’s interaction.
More specifically:
Lost interaction.
The practice sessions that never happen.
The labs that never get started.
The troubleshooting repetitions that never occur.
The exposure that never compounds.
Most engineers don’t notice this because the cost is invisible.
It doesn’t show up on a credit card statement.
It doesn’t arrive as an invoice.
Instead, it disappears quietly.
Fifteen minutes here.
An hour there.
An evening gone because an image won’t boot.
Another evening spent searching forums.
Another weekend spent rebuilding an environment that worked perfectly last week.
Individually, none of those moments seem significant.
Collectively, they become enormous.
Because every hour spent fighting the environment is an hour not spent interacting with networking behavior.
And networking confidence only compounds during interaction.
Not preparation.
Not installation.
Not troubleshooting the lab itself.
Interaction.
This is something I’ve noticed repeatedly over the years.
Two engineers can have access to the exact same information.
The exact same resources.
The exact same goals.
Yet one progresses dramatically faster.
Why?
Often because one engineer spends more time inside networking behavior.
The other spends more time preparing to enter networking behavior.
That difference sounds small.
But over months and years, it becomes massive.
One engineer completes fifty labs.
The other completes fifteen.
One engineer troubleshoots hundreds of protocol interactions.
The other spends a significant portion of that time maintaining the environment.
Neither engineer is lazy.
Neither engineer lacks commitment.
They’re simply spending their hours differently.
And hours matter.
Because expertise is ultimately built from accumulated exposure.
Every interaction teaches the brain something.
Every troubleshooting session adds another pattern.
Every failure removes another uncertainty.
Every repetition strengthens recognition.
But none of that happens while you’re searching for images.
None of it happens while you’re rebuilding virtual machines.
None of it happens while you’re fixing the lab instead of fixing the network.
That’s why I believe most engineers dramatically underestimate the cost of friction.
They think they’re losing time.
What they’re really losing is repetitions.
And repetitions are the raw material from which expertise is built.
Once you see it that way, the conversation changes completely.
The question is no longer:
“Can I build this environment myself?”
Of course you can.
The better question becomes:
“How much interaction am I sacrificing in order to prove that I can?”
Because eventually every engineer reaches a point where the goal is no longer building the lab.
The goal is becoming better inside the lab.
And those are two very different things.
What I Noticed In Siddhi’s Email That Most People Missed
When people hear Siddhi’s story, they usually focus on the part that sounds extraordinary.
The age.
The certification.
The achievement.
The record.
That’s understandable.
Those are the parts that make headlines.
But they weren’t the parts that caught my attention.
What caught my attention was a single sentence buried inside an ordinary email.
“I’ve spent countless hours practicing in EVE-NG labs…”
The first time I read it, I almost moved past it.
Then I stopped.
Because after years of working with network engineers, I’ve learned that sometimes the most important information is hidden inside the sentence everyone else ignores.
Countless hours.
Think about how different that sounds from the way most people talk about learning.
Most engineers talk about goals.
The certification they want.
The job they want.
The salary they want.
The technology they want to learn.
Very few talk about hours.
Even fewer talk about repetitions.
And almost nobody talks about exposure.
Yet that’s usually where the real transformation happens.
Not in the goal.
Not in the announcement.
Not in the achievement.
In the repetitions that happened before any of those things existed.
That’s what stood out to me.
Because the sentence wasn’t describing a result.
It was describing a process.
And processes are what create results.
When you spend countless hours interacting with networking behavior, something begins changing that is difficult to measure.
You stop seeing individual technologies.
You start seeing patterns.
You stop memorizing isolated commands.
You start recognizing relationships.
You stop asking:
“What command should I use here?”
And start asking:
“What is the network trying to tell me?”
That’s a completely different level of thinking.
It’s the difference between somebody following steps and somebody understanding behavior.
And behavior is where networking becomes interesting.
Because networks don’t care what certification you’re studying for.
Packets don’t care whether you’re preparing for CCNA, CCNP, or CCIE.
Protocols behave according to their design.
The engineer’s job is to recognize that behavior quickly enough to make good decisions.
That ability isn’t built by reading about networking.
It’s built by spending enough time inside networking that the behavior stops feeling unfamiliar.
That’s why I believe many engineers misunderstand what they’re actually trying to achieve.
They think they’re studying for a certification.
But the engineers who ultimately become exceptional are usually building something much more valuable.
They’re building intuition.
The ability to look at a problem and recognize what matters.
The ability to stay calm when the output doesn’t look right.
The ability to keep moving when certainty isn’t immediately available.
And those abilities rarely come from information alone.
They come from exposure.
Repeated exposure.
The kind that accumulates so gradually you barely notice it while it’s happening.
Then one day something strange happens.
A problem appears.
And instead of feeling overwhelmed, you recognize it.
Not because you’re gifted.
Not because you’re lucky.
Because you’ve seen something similar before.
That’s what Siddhi was really accumulating.
Not certifications.
Not credentials.
Not accomplishments.
Exposure.
And exposure compounds in ways most engineers don’t fully appreciate until years later.
The Difference Between Engineers Who Pass And Engineers Who Stay Stuck
Over the years, I’ve watched engineers start from almost identical positions and end up in completely different places.
Same certification goals.
Same access to information.
Same technologies.
Sometimes even the same courses and workbooks.
Yet five years later, their careers look nothing alike.
One engineer is designing networks, leading projects, troubleshooting complex environments, and moving confidently from challenge to challenge.
The other is still searching.
Still preparing.
Still trying to feel ready.
At first glance, it seems like intelligence should explain the difference.
But in my experience, it rarely does.
Some of the most successful engineers I’ve met were not the fastest learners.
They weren’t the people who could memorize everything after seeing it once.
They weren’t the people who always had the right answer immediately.
What separated them was something far less glamorous.
They stayed in the game longer.
They stayed in the lab longer.
They stayed with the problem longer.
While other engineers were searching for a better explanation, they were interacting with the behavior directly.
While other engineers were moving to the next topic, they were still building familiarity with the current one.
While other engineers were collecting resources, they were collecting repetitions.
That difference compounds.
Slowly at first.
Then dramatically.
Because networking has a way of rewarding depth more than breadth.
The engineer who has configured OSPF fifty times sees the protocol differently than the engineer who studied OSPF fifty times.
The engineer who has broken BGP repeatedly sees different things than the engineer who only understands BGP theoretically.
The engineer who has spent hundreds of hours troubleshooting develops instincts that cannot be downloaded from a course.
And that’s where many people get trapped.
They keep measuring progress by consumption.
How many videos they watched.
How many pages they read.
How many courses they completed.
How many certifications they collected.
But networking doesn’t care how much information passed through your eyes.
The network only responds to interaction.
Can you build it?
Can you troubleshoot it?
Can you recognize what is happening when things stop working?
Can you recover certainty when the environment becomes confusing?
Those are the skills that create confidence.
And those skills are built differently.
They are built through contact.
Through repetition.
Through exposure.
Which is why the gap between engineers often has less to do with talent than people assume.
One engineer accumulated information.
The other accumulated experience.
From the outside, those paths can look surprisingly similar for a long time.
Both people appear busy.
Both people appear committed.
Both people appear to be learning.
But eventually the difference becomes impossible to hide.
Because information can help you answer questions.
Experience helps you recognize reality.
And networking rewards the second one far more than the first.
That’s the lesson hidden inside countless success stories.
Not just Siddhi’s.
Almost every engineer who reaches an exceptional level eventually discovers the same thing:
The breakthrough wasn’t created by a single moment.
It was created by thousands of interactions that nobody else paid attention to while they were happening.
Siddhi’s Story Was Never Really About Siddhi
At this point, it would be easy to look at Siddhi’s story and reach the wrong conclusion.
A lot of people would say:
“Well, that’s different.”
“He’s exceptionally talented.”
“He’s an outlier.”
“Most people can’t do that.”
Maybe.
Maybe not.
But I think those responses miss the most important part of the story.
Because the lesson was never that Siddhi became the youngest CCIE in the world.
The lesson is how he got there.
And when you look closely, the process isn’t nearly as mysterious as people want it to be.
That’s often what makes success stories so difficult for people to accept.
We want the answer to be something special.
Something hidden.
Something unavailable to everyone else.
A secret strategy.
A unique advantage.
A shortcut.
But most of the time, the explanation is much less exciting.
And much more useful.
The engineer spent more time interacting with networking than most people are willing to.
That’s it.
Not because he woke up every morning feeling motivated.
Not because every lab was exciting.
Not because every troubleshooting session felt rewarding.
Because he kept showing up long enough for the repetitions to compound.
That’s the part people underestimate.
When most engineers look at an outcome, they mentally compare it to a single action.
One course.
One certification.
One decision.
One breakthrough moment.
But expertise doesn’t work that way.
Expertise is usually the accumulated result of thousands of interactions that become invisible once the outcome arrives.
Nobody sees Lab #17.
Nobody remembers Lab #143.
Nobody talks about the troubleshooting session that solved nothing.
Nobody celebrates the evening spent rebuilding a topology.
Nobody writes a LinkedIn post about spending three hours chasing a mistake that turned out to be a missing command.
Those repetitions disappear.
Only the result remains visible.
And that’s why so many success stories create confusion.
People see the outcome.
They never see the accumulation.
Imagine looking at a massive oak tree and asking:
“What caused this tree?”
The question itself is misleading.
There wasn’t a single cause.
There were thousands of days of growth that nobody paid attention to.
Networking expertise develops the same way.
The confidence.
The intuition.
The troubleshooting ability.
The pattern recognition.
The calmness under pressure.
Those things don’t suddenly appear one day.
They emerge from exposure repeated long enough that the engineer starts seeing the network differently.
That’s what I believe most engineers learn too late.
They spend years searching for acceleration while quietly ignoring accumulation.
They look for breakthroughs.
The people making the fastest progress are building repetitions.
They look for better explanations.
The people making the fastest progress are increasing interaction.
They look for confidence.
The people making the fastest progress are accumulating exposure.
And eventually those exposures become confidence automatically.
Not because confidence was the goal.
Because confidence was the byproduct.
That’s why this story was never really about Siddhi.
The certification is interesting.
The age is interesting.
The record is interesting.
But those aren’t the parts that matter.
The part that matters is that his story exposes a truth that applies to every engineer reading this.
The network does not reward intention.
It rewards interaction.
It does not reward how many videos you planned to watch.
It does not reward how many certifications you hope to earn.
It does not reward how much networking content you’ve saved for later.
It rewards exposure.
The engineers who spend the most time interacting with networking behavior eventually begin seeing things other engineers don’t.
Not because they’re smarter.
Because they’ve spent enough time inside the environment for the patterns to become familiar.
And once that happens, progress starts looking very different from the outside.
People call it talent.
People call it intelligence.
People call it natural ability.
But often what they’re really looking at is accumulated exposure that finally became visible.
That’s what Siddhi’s story reminded me of.
Not how extraordinary one engineer became.
But how expertise is actually built.
One interaction at a time.
What This Means For Your Own Journey
So what does all of this mean for you?
Honestly, it depends on how you’ve been measuring progress.
Because one of the most common mistakes engineers make is confusing activity with advancement.
They assume that because they’re spending time around networking, they’re automatically moving forward.
Sometimes that’s true.
Sometimes it isn’t.
There are engineers who spend five years consuming networking content and never develop meaningful operational confidence.
And there are engineers who spend two years building, troubleshooting, testing, and interacting consistently, and their growth becomes impossible to ignore.
The difference is rarely intelligence.
It’s usually interaction.
That’s why I think many engineers ask the wrong question.
They ask:
“What should I learn next?”
When often the better question is:
“Am I spending enough time interacting with what I already know?”
Because if we’re being honest, most engineers already possess far more knowledge than they regularly apply.
They understand VLANs.
They understand routing.
They understand OSPF.
They understand BGP concepts.
They understand redundancy.
They understand switching.
The problem isn’t always knowledge.
The problem is that the knowledge never spends enough time under pressure to become instinct.
And instinct matters.
Because networking becomes very different the moment the environment stops behaving predictably.
That’s when memorization starts losing value.
That’s when pattern recognition starts gaining value.
That’s when experience becomes visible.
And that’s exactly why many engineers feel frustrated.
They keep investing effort.
But they invest it in ways that don’t create enough interaction for expertise to compound.
They keep searching for better information when what they actually need is deeper exposure.
More repetitions.
More troubleshooting.
More time inside real behavior.
That’s the lesson hidden inside almost every great engineer’s story.
Not just Siddhi’s.
The people who eventually become exceptional are rarely the people who never felt confused.
They’re usually the people who spent more time staying inside the confusion.
Long enough for understanding to emerge.
Long enough for familiarity to develop.
Long enough for confidence to become a byproduct of experience instead of a goal they were constantly chasing.
And once you understand that, your entire approach to growth starts changing.
You stop obsessing over finding the perfect resource.
You stop waiting until you feel ready.
You stop believing that one more course will finally solve everything.
Instead, you start protecting something much more valuable:
Your interaction with the network itself.
Because that’s where expertise is built.
And that’s where careers change.
The Environment Matters More Than Most Engineers Realize
There’s one final lesson hidden inside all of this.
And it’s a lesson I wish more engineers understood earlier in their careers.
The environment matters.
Not because the environment teaches you networking.
Not because the environment guarantees success.
And certainly not because the environment can replace effort.
It can’t.
But the environment influences something that ultimately determines whether expertise compounds or stalls:
The frequency of interaction.
Think about it this way.
Imagine two engineers with the same goal.
The same level of commitment.
The same amount of intelligence.
The same desire to improve.
The first engineer spends most of their time interacting with networking behavior.
Building.
Testing.
Breaking things.
Troubleshooting.
Repeating.
The second engineer spends a significant portion of that time preparing to interact.
Searching for images.
Fixing installations.
Rebuilding environments.
Solving infrastructure problems unrelated to the actual technologies they want to learn.
Which engineer accumulates more exposure after a year?
The answer is obvious.
And that’s exactly why environments matter more than most people realize.
Not because they make networking easier.
Because they make interaction easier.
And interaction is where confidence is built.
Over the years, I’ve seen countless engineers start with good intentions.
They wanted to practice.
They wanted to build.
They wanted to become better.
But somewhere along the way, the friction became larger than the habit.
The environment started fighting them.
Every lab session required preparation.
Every practice session required setup.
Every interaction carried unnecessary resistance.
Eventually many of those engineers drifted back toward passive learning.
Not because they stopped caring.
Because interaction became expensive.
And that’s exactly the problem we wanted to solve when building the EVE-NG Full Pack.
Not by creating another course.
Not by creating another collection of videos.
But by creating an environment that removes as much unnecessary friction as possible between an engineer and real hands-on interaction.
A complete EVE-NG environment.
Verified enterprise images.
Scenario-based labs.
Guided workbooks.
Save-config topologies.
Blank environments for repetition.
Everything built around a single idea:
Make it easier to enter practice.
Because once practice becomes easier to enter, something important happens.
Engineers practice more often.
And when engineers practice more often, exposure compounds.
Pattern recognition compounds.
Confidence compounds.
Experience compounds.
Not because somebody found a shortcut.
Because they found a way to stay inside the process long enough for the repetitions to work.
That’s ultimately the lesson I took away from Siddhi’s story.
Not that he became the youngest CCIE in the world.
Not that he achieved something remarkable.
But that he demonstrated something most engineers already know deep down, yet often forget:
Expertise is built through interaction.
One lab.
One troubleshooting session.
One repetition at a time.
And the engineers who stay close to that process long enough eventually discover something surprising.
The results they spent years chasing start arriving naturally as a consequence of the work.
If you’d like to explore the same lab-first environment that has helped thousands of engineers spend less time preparing and more time practicing, you can take a closer look at the complete EVE-NG Full Pack here:
Explore The EVE-NG Full Pack >>
Because in the end, the goal was never to collect more networking information.
The goal was always to spend enough time interacting with networking behavior that confidence stopped being something you hoped for…
and became something you earned.
Ali Mansouri
Founder, Dynamips®
Build. Test. Break. Repeat.
