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ClarifyDeCode @UCvm966GQwSnaefVwGkjaDmg@youtube.com

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At Clarify&DeCode we transform software complexity into clar


Welcoem to posts!!

in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c

ClarifyDeCode
Posted 1 week ago

💥 Why Your Code is SLOW – Big O Made Simple! | Dev Tips in 60s ⏱️

"I made this graph to show you just how fast things get out of hand when you use the wrong algorithm..."

💡 What is Big O Notation?

Big O notation is a way to describe how the time or space needed by an algorithm grows as the size of the input increases.

Think of it as a way to answer the question:
"If I double the input, how much slower will my program get?"


Practical insights:

O(1), O(log n), and O(n) algorithms remain quite efficient even with large inputs
O(n log n) grows faster but is still manageable for large datasets
O(n²) and O(n³) quickly become impractical as input size grows
O(2ⁿ) and O(n!) grow so rapidly they go off the chart with even small inputs

This graph says it all: pick smarter algorithms !


#bigonotation, #algorithms, #codingtips, #devlife, #programming, #softwareengineering, #webdev, #computerscience, #techtips, #learntocode, #codingsimplified, #performanceoptimization, #developers, #codebetter, #datastructures, #techcontent, #csbasics, #backenddev, #frontenddev, #softwarearchitecture

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ClarifyDeCode
Posted 1 week ago

🎯 Stuck with slow SQL Server performance? 🔍
Don't know who's blocking who or why your query is just sitting there doing nothing?

🚨 Say hello to your best troubleshooting buddies!

🛠️ sp_who2 –> Quickly spot blocked sessions, CPU hogs, and idle connections. It's your first-responder tool when things go sideways!

🧰 sp_lock –> See what locks are held and causing trouble.
🔒 Great for diagnosing lock contention!

⚡ sys.dm_exec_requests –> See what's running right now.

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ClarifyDeCode
Posted 2 weeks ago

🧠 What is “Waiting for CPU”?
This doesn’t mean your code is sleeping, blocked on a lock, or waiting for I/O.

"Waiting for CPU" means:

A thread in your app is ready to run, but the CPU is too busy to let it execute.

In simple terms:
🔄 The OS has scheduled your thread,
🛑 But the CPU is juggling too many tasks,
⏳ So your thread is just… waiting in line.

This is often a hidden bottleneck — your app looks like it's working, but under the hood, it's hitting CPU congestion.

🔥 Why Does It Happen?
There are a few usual suspects:

High CPU Load
All CPU cores are busy — threads are queued up, starving for attention.

Too Many Threads
If your app spins up more threads than the CPU can handle, they’ll end up waiting.

GC Pressure (Java/.NET)
If garbage collection is running often or too long, it can hog the CPU.

Thread Contention
Too many threads competing for CPU time leads to expensive context switches.

Priority & Scheduling Issues
Your threads might be getting preempted or deprioritized by the OS.

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ClarifyDeCode
Posted 2 weeks ago

Confused by messy software diagrams . The C4 Model for Software Architecture brings clarity

Here’s a super quick, no-jargon breakdown ->

It stands for Context, Containers, Components, and Code - four levels of increasing detail that help teams document and communicate software design decisions. Example below


Key Benefits of the C4 Model ->

Progressive detail: Start with the big picture and zoom in as needed

Clear communication: Different diagrams for different audiences and purposes

Consistency: Uses the same notation style across all levels

Flexibility: Works with any architecture or technology stack

Practicality: Focuses on what's needed rather than exhaustive documentation

#c4model, #softwarearchitecture, #systemdesign, #architecturediagram, #softwaredevelopment, #techlead, #devops, #softwareengineering, #designpatterns, #microservices, #uml, #developers, #technicaldocumentation, #softwaredesign, #componentarchitecture

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ClarifyDeCode
Posted 5 months ago

Don’t Let Small Mistakes Sink Your K8S Cluster! Stay Afloat with These Kubernetes Tips!

K8S Common Pitfalls to Avoid with their Reasons

#KubernetesMistakes #KubernetesBestPractices #K8s #DevOps #CloudNative #Microservices #ContainerOrchestration #Microservices #ContainerOrchestration #KubernetesMistakes #DeploymentSuccess #TechTips"

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ClarifyDeCode
Posted 5 months ago

Struggling with network errors and their impact on your services?Here's a Quick Guide on how to detect and mitigate network performance issues effectively.





#performanceoptimization #networkperformance #performanceengineering #scalability

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ClarifyDeCode
Posted 6 months ago

As we know In an e-commerce site speeding up the checkout process won’t drastically improve the overall experience if the browsing and searching processes aren’t improved.

So just this basic concept is the Amdahl’s Law which is mystical textbook terms is ->

A principle that shows the limits of improving overall system performance when only part of the system can be optimized.

To Clarify -> Even if you improve part of a process significantly, the parts you don’t improve will limit the total speedup.

#softwareperformance, #amdahlslaw, #systemoptimization, #parallelcomputing, #performanceengineering, #scalability, #bottleneckanalysis, #ecommerceoptimization, #techinsights, #computerscience

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ClarifyDeCode
Posted 7 months ago

Hey Decoder's !
What topic would you love to dive into next to boost your skills and knowledge in this channel of Yours !

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ClarifyDeCode
Posted 7 months ago

🚀 Scaling Kubernetes Control Planes: Vertical vs. Horizontal 🚀



Vertical scaling boosts performance by upgrading existing nodes, while horizontal scaling adds redundancy and handles larger clusters. Choose wisely based on your cluster size and availability needs! 🌐💡




#Kubernetes #CloudComputing #DevOps #TechTalk #Scalability #HighAvailability #CloudNative #clarifydecode

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