๐ฆ Kubernetes Services - Simplified
Not all Kubernetes Services expose your app the same way.
Here's when to use each one ๐
๐ข ClusterIP
โ Internal communication only
โ Perfect for microservices
๐ NodePort
โ Exposes a port on every node
โ Great for testing
๐ต LoadBalancer
โ Public access with cloud load balancers
โ Production-ready
๐ฃ ExternalName
โ Maps to external DNS names
โ Useful for third-party services
โญ Rule of thumb:
ClusterIP โ Inside cluster
NodePort โ Testing
LoadBalancer โ Internet traffic
ExternalName โ External services
Master these 4, and Kubernetes networking becomes much easier. ๐
Vibe coding won't save your career.
Those, who want to control AI must understand engineering.
And itโs not rocket science.
The best free resources to get started:
- System Design 101 by ByteByteGo (GitHub): https://t.co/QWbzAJGOlD
- Engineering Visual Guides: https://t.co/XQRFR4TNyF
- Become a Supabase Pro in 1.5 Hours (1:26:39): https://t.co/82NqGGsXzv
- Overview of HTTP by Mozilla: https://t.co/Vv0WskzyQX
- HTTP Request Methods: https://t.co/MVAaqepEe3
- The most important concepts of Node.js and Express.js (17:09): https://t.co/81a1hW56h5
- Every React Concept Explained in 12 Minutes (11:52): https://t.co/QBocDlBXPF
- TypeScript - The Basics (12:00): https://t.co/lMMjHjpVHX
- CSP Guide by Mozilla: https://t.co/YmKsma2ZEz
- OWASP Top 10: https://t.co/kgJpbaX9Rq
- Getting Started with Lovable: https://t.co/NeeiVPcAkr
- Replit AI Agent, Full Course: https://t.co/uvMQ9AZMbr
- n8n Masterclass: https://t.co/NdxsCn1HAx
- How to Integrate Supabase with Clerk: https://t.co/zINKiUA90E
------------
Guides for those building AI-powered products:
- How To Build, Deploy, And Scale Your AI Product Strategy: https://t.co/7G2mNWEK55
- 14 Prompting Techniques: https://t.co/5naH5eJYfn
- AI Evals: https://t.co/PrYPqKlQW5
- Error Analysis: https://t.co/5VEU03Grfv
- A Guide to Context Engineering: https://t.co/SrIRaIJMC5
- AI Agent Architectures: https://t.co/VzBCHMlNhC
- 17 Penetration & Performance Testing Prompts: https://t.co/E6Zo5EZglP
- 3-Layers Distribution Framework To Win Market Share: Subscribe to get notified: https://t.co/nzGyBEGcaZ
------------
Finally, learn by doing:
(no coding, understanding tech)
- LLM Chatbot: https://t.co/gkfYZmSRyr
- RAG Chatbot: https://t.co/TBlNlAiD3q
- Voice Agent: https://t.co/LC7Z55QeAJ
- Multi-Agent Research System: https://t.co/nxHtcwXh2F
- Separate DEV/TEST/PROD: https://t.co/d3o9ho6rp6
- Full-Stack App with Lovable (2:00:00): https://t.co/70gg816gum
------------
[Bonus] My favorite tools:
- Database: Supabase
- Vector store: Pinecone
- Coding agents: Lovable (easiest), Replit, Cursor (most advanced)
- Hosting: Netlify, Vercel
- Authentication: Clerk
- Hardening: Cloudflare
- Transactional emails (avoid SPAM): Postmark
- SEO for SPA apps: Prerender
- Cache: Redis + Netlify
- Storage: S3
- Analytics: Clarity, PostHog
- Logging: Logtail
- Metrics: Grafana
- Feature flagging: GrowthBook
- System status: Uptimerobot
- Payments: Stripe
- Agentic workflows: n8n (easiest), LangChain (most advanced)
- Evals off-the-shelf: LangSmith
------------
What did I forget?
Somebody wrote a prompt that's supposed to reduce ChatGPT hallucinations.
A Reality Filter
Has a Google Gemini and Claude version too.
itโs a directive scaffold that makes them more likely to admit when they donโt know.
"Reduce hallucinations mechanicallyโthrough repeated instruction patterns, not by teaching them โtruth.โ
The Reality Filter here is a permanent directive for GPT-4, Gemini Pro, Claude and a universal version. It requires labeling any content not directly verifiable with tags like [Unverified] or [Inference] and mandates โI cannot verify thisโ when lacking data.
---
From r/PromptEngineering/
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