Share this page!

Enter URL or ID to Unroll

You can paste full URL like: https://x.com/threadreaderapp/status/1644127596119195649
or just the ID like: 1644127596119195649

How to get URL link on X (Twitter) App

  1. On the Twitter thread, click on or icon on the bottom
  2. Click again on or Share Via icon
  3. Click on Copy Link to Tweet
  4. Paste it above and click "Unroll Thread"!
  5. More info at Twitter Help
Tech Fusionist Profile picture
@techyoutbe
Dec 21, 2024 • 13 tweets • 3 min read • Read on X
Scrolly
Kubernetes Command :Cheat Sheet for DevOps Professionals

1. Working with Pods
2. Working with Deployments
3. Working with Services
4. Working with ConfigMaps and Secrets
5. Working with Namespaces
6. Managing Nodes
7. Working with Persistent Volumes (PV) and Claims (PVC)
8. Configuring and Viewing Contexts
9. Debugging Resources
10. Managing Jobs and CronJobs
11. Applying and Deleting Manifests

Let's check step by step!! 👇👇
1. Working with Pods Image
2. Working with Deployments Image
3. Working with Services Image
4. Working with ConfigMaps and Secrets Image
5. Working with Namespaces Image
6. Managing Nodes Image
7. Working with Persistent Volumes (PV) and Claims (PVC) Image
8. Configuring and Viewing Contexts Image
9. Debugging Resources Image
10. Managing Jobs and CronJobs Image
11. Applying and Deleting Manifests Image
This quick cheat sheet covers the most important Kubernetes commands every DevOps professional should know.

If you find this thread helpful then share with more Tech Professionals!

• • •

Missing some Tweet in this thread? You can try to force a refresh
　

Keep Current with Tech Fusionist

Tech Fusionist Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @techyoutbe

Tech Fusionist Profile picture
Mar 19
🚨 Big Tech just dropped some serious updates in the last 24 hours.

AI, Cloud, DevOps, and Security are moving FAST.

Here are 6 updates builders can’t afford to miss 👇
1️⃣ Google Cloud launched multi-cluster GKE Inference Gateway in preview.

It routes AI inference across GKE clusters and regions with model-aware load balancing.

👉 Why it matters: better GPU utilization, lower latency, and stronger failover for production AI apps.
2️⃣ AWS launched Nova Forge SDK.

It makes customizing Nova models across Bedrock and SageMaker much easier, with less infra setup.

👉 Why it matters: enterprise teams can fine-tune and ship domain-specific AI faster.
Read 8 tweets
Tech Fusionist Profile picture
Jan 25
These 5 Prompts Turn AI Image Models Into Technical Storytellers ⬇️⬇️
1. Concept Explanation Diagram (Core Style)

Use this for most Kubernetes concepts (Pods, Services, Nodes, etc.)

Prompt:

“Hand-drawn flat illustration explaining a cloud-native concept, simple cartoon style, clean white background, blue and gray color palette, labeled components with arrows, educational tech diagram, friendly developer-focused illustration, minimal shadows, vector-like clarity, visual guide style, no photorealism”
2. Before vs After Comparison (Problem → Solution)

Perfect for chaos vs order, monolith vs microservices, manual vs automated.

Prompt:

“Split-screen before-and-after illustration showing a software infrastructure transformation, left side chaotic and broken, right side organized and scalable, cartoon hand-drawn style, clear visual contrast, flat design, white background, tech education infographic style, expressive but simple characters”
Read 6 tweets
Tech Fusionist Profile picture
Nov 14, 2025
Kubernetes isn’t dying loudly - it’s dying quietly.

Not in blogs.
Not in conferences.
But inside private Slack channels, architecture reviews, and FAANG infra meetings.

The truth?
Big Tech engineers are slowly moving away from Kubernetes.

Not because it’s bad -
but because it’s too heavy, too complex, too slow, and too painful to maintain at scale (if not desgined with proper planning).

After managing multiple production clusters myself, I get it.

Here are the 7 orchestration alternatives quietly replacing Kubernetes behind the scenes:
1. Serverless (Lambda / Cloud Run / Functions)

Most workloads never needed K8s.
Serverless gives zero infra, auto-scaling, and lower cost.

2. Nomad - “Kubernetes without the drama”

• Single binary
• No CRDs or YAML hell
• Boringly reliable
Used by: Roblox, Cloudflare, Adobe.

3. ECS/Fargate - “We don’t want to manage anything”

• No nodes
• No kubelets
• No CNI issues
AWS runs everything → you just push code.
Deployments: 8–12 min → 1–2 min.

4. Fly .io Machines - Serverless without limitations

• Containers + VMs
• Global deploy
• 250ms cold starts
For teams wanting edge scale without K8s complexity.
Read 5 tweets
Tech Fusionist Profile picture
Sep 15, 2025
🚀 Want to become an AI Engineer in 2025?

Here’s the ultimate roadmap, from Python to MLOps.

Language ➤ Python
Mathematics ➤ Linear Algebra + Probability + Statistics + Calculus
Data Basics ➤ NumPy + Pandas + SQL
Data Visualization ➤ Matplotlib + Seaborn + Plotly
Classical Machine Learning ➤ scikit-learn + XGBoost + Model Evaluation
Deep Learning ➤ PyTorch/TensorFlow + Keras
Natural Language Processing (NLP) ➤ Hugging Face Transformers + Datasets + Tokenizers
Computer Vision ➤ OpenCV + Image Preprocessing
Embeddings ➤ OpenAI/HF Embeddings
RAG (Retrieval-Augmented Generation) Stack ➤ LangChain/LlamaIndex + FAISS
Agents & Workflows ➤ LangGraph
APIs ➤ FastAPI
Vector Databases ➤ Pinecone

Additional Core Topics ➤ MLOps + Cloud Computing + Ethics + Data Engineering + Monitoring + SecurityImage
1. Programming Language: Python

Why Python?
Python's simplicity, extensive libraries, and large community make it the go-to language for AI and data science.

Key Areas:
Fundamentals: Syntax, data structures, control flow, functions, object-oriented programming.
Advanced: Decorators, generators, context managers, asynchronous programming.
Best Practices: Code style (PEP 8), version control (Git), testing (pytest).
2. Mathematical Foundations

Linear Algebra:
Essential for understanding machine learning algorithms, data representation, and optimization.

Key Concepts: Vectors, matrices, tensors, matrix operations, eigenvalues, eigenvectors, singular value decomposition (SVD).

Probability:
Crucial for understanding uncertainty, statistical inference, and probabilistic models.

Key Concepts: Probability distributions, random variables, Bayes' theorem, conditional probability, expectation, variance.

Statistics:
Needed for data analysis, hypothesis testing, and model evaluation.

Key Concepts: Descriptive statistics, inferential statistics, hypothesis testing, confidence intervals, regression analysis.

Calculus:
Understanding the fundamentals of optimization algorithms like gradient descent.

Key Concepts: Derivatives, integrals, chain rule, partial derivatives, gradients.
Read 16 tweets
Tech Fusionist Profile picture
May 25, 2025
Site Reliability Engineering (SRE) 🚀🚀Image
The SLI → SLO → SLA FlowImage
Key Practices and Popular SRE ToolsImage
Read 6 tweets
Tech Fusionist Profile picture
May 17, 2025
Learn Terraform by Doing: 10 Practical Tasks for Beginners ⬇️ Image
1. Install Terraform & Setup Env. Image
2. Write first Terraform conf. Image
Read 12 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

Send Email!

:(