A

[A @hendrypark13422]

@pmastrology_com What if both are same -
D1 10th lord Saturn in 11th in pisces
10th lord is placed in 7th house : Aquarius in Navamsa with mercury
Navamsa ruler lord same Saturn
11th lord - jupiter in 10th
Connection they exchange houses/ sign

[Tech Fusionist | Kushal Gangil @techyoutbe]

Cloud & DevOps Engineer (Checklist)

Keep this handy....if you are interested for Cloud & DevOps role....(reduce the gap)

[D-ASTRO @pmastrology_com]

There is a principle in a old astrology book. if the lord of 11th house is situated with lord of navamsa sign of 10th lord one will become very rich.

I have checked several charts and found this yoga in Warren Buffett's chart. His 11th lord, Venus, is conjoined with Mercury, which is both the 10th lord and the Navamsa lord of Venus.

[Helen @anomalie_blue]

Wisdom from Dr Dispenza

“If we keep living in survival and we are overly sexual, over consuming, or overstressed by living our lives from the first three centers, we keep drawing from this invisible field of energy carrying information that surrounds the body, and we are consistently turning it into chemistry. The repetition process over time causes the field around the body to shrink.”

“From an energetic level all disease is a lowering of frequency and an incoherent message.”

[Rishabh Singh↗️ @merishabh_singh]

OUTREACH TACTICS I STOLE FROM ELITE HEADHUNTERS TO LAND INTERVIEWS (WITHOUT APPLYING ONLINE)

1. Bypassing the HR Front Door

[Jesse--The Data Guy @Mbadiwejesse]

Python Mindmap👌

[Sankalp Sinha (Left $15K+ MRR job to indiehack) @sankalpdomore]

About 8 years ago I took a remote job with a US company and it changed my life and how I worked.

It's not a hidden fact that our counterparts across the world earns more than us in the west while doing the same job and sometimes less (given the perks of working in HQ).

What's sad is how unexplored remote work still is and very few take advantage of it. Those who do, change their lives. The pay is higher. You can live in different cities and work. You see and understand global standard of work & communications. It's a different league altogether.

To show you how stark the difference is, I pulled median total compensation from my product which indexes job boards & company data, for just five tech roles as an example and here's the India against the US data:

- Senior product designer: $44K in India, $210K in the US, 4.8x
- Backend engineer: $36K, $195K, 5.4x
- Frontend engineer: $30K, $203K, 6.7x
- DevOps engineer: $19K, $151K, 7.8x
- Forward deployed engineer: $19K, $210K, 11.3x

Even the smallest gap is nearly 5x.

Numbers are self-reported across job boards here and in the US. The designer is senior level, the engineers are all levels, and India has only 11 forward deployed engineer reports. It is before cost of living.

And I want to push for a change. I want more of you to attempt getting a remote job. It's not easy, like all other job hunts but it's doable. If I and many of my friends did it, so can you. The first step is to be aware what's there.

That's why I've added indexed a lot of remote roles in https://t.co/l8tzSQfkIc and a user recently closed his first ever remote job, coming from a service company in India - Cognizant :)

🔗 So, if you're looking for your next remote role and want to break up the cycle of getting lowballed, go out there and find & start applying to remote jobs.

Hand curating good ones myself on https://t.co/l8tzSQfkIc.

Good luck out there!

[Dhanian 🗯️ @e_opore]

BUILDING AN AGENT FROM SCRATCH ROADMAP
│
▼
1. AI FUNDAMENTALS
│
┌───────────────────┼───────────────────┐
▼ ▼ ▼
LLMs Tokens Embeddings
│ │ │
└───────────────────┼───────────────────┘
▼
2. MODEL APIs
│
OpenAI → Anthropic → Gemini → Open Models
│
▼
3. PROMPT ENGINEERING
│
System Prompts → Instructions → Context → Outputs
│
▼
4. AGENT CORE
│
Model + Instructions + State
│
▼
5. TOOL CALLING
│
┌───────────────┬───────────────┬───────────────┐
▼ ▼ ▼ ▼
Web Search APIs Database Code Execution
│ │ │ │
└───────────────┴───────────────┴───────────────┘
│
▼
6. AGENT LOOP
│
Observe → Think → Act → Observe
│
▼
7. MEMORY
│
Short-Term → Long-Term → Semantic Memory
│
▼
8. RAG
│
Documents → Chunking → Embeddings → Vector DB
│
▼
Retrieve → Rerank → Generate
│
▼
9. AGENT PLANNING
│
Goal → Decompose → Plan → Execute → Verify
│
▼
10. MULTI-STEP WORKFLOWS
│
Sequential → Conditional → Parallel → Loops
│
▼
11. MULTI-AGENT SYSTEMS
│
┌────────────────┬────────────────┬────────────────┐
▼ ▼ ▼ ▼
Supervisor Researcher Coder Reviewer
│ │ │ │
└────────────────┴────────────────┴────────────────┘
│
▼
12. AGENT FRAMEWORKS
│
LangGraph → LangChain → CrewAI → AutoGen
│
▼
13. MCP & AGENT TOOLS
│
MCP Servers → Resources → Tools → Prompts
│
▼
14. GUARDRAILS & SECURITY
│
Permissions → Input Validation → Tool Safety → Secrets
│
▼
15. AGENT EVALUATION
│
Accuracy → Tool Use → Reliability → Latency → Cost
│
▼
16. OBSERVABILITY
│
Logs → Traces → Metrics → Agent Trajectories
│
▼
17. PRODUCTION AGENTS
│
Authentication → APIs → Queues → Databases → Caching
│
▼
18. DEPLOYMENT
│
Docker → Cloud → CI/CD → Scaling → Monitoring
│
▼
19. BUILD REAL AGENTS
│
┌──────────────────────────┼──────────────────────────┐
▼ ▼ ▼
Coding Agent Research Agent Customer Support
│ │ │
▼ ▼ ▼
Data Analyst Browser Agent DevOps Agent
│
▼
20. CAPSTONE PROJECT
│
Build → Test → Evaluate → Deploy → Monitor
│
▼
PRODUCTION-READY AI AGENT

[Alexey Grigorev @Al_Grigor]

I updated the AI Engineering Field Guide.

It now includes 6,964 job descriptions analyzed over 8 months (January to August 2026), plus real interview experiences and stories from practitioners.

It covers:

- What AI engineer roles actually look like
- Skills that keep showing up in hiring
- Interview questions and patterns
- Learning paths + resources

It's a work in progress, and I'm adding more sections regularly.

If you have feedback (or want to contribute), I'd love your input.

Repo: https://t.co/ODw2M0g0Uj

Star it to get updates!

[Swapna Kumar Panda @swapnakpanda]

The BEST one there for Agentic AI.

Absolutely beginner friendly. Covers every topic.

https://t.co/03jDhYP07L

- Langchain
- Langgraph
- RAG
- Vectorless RAG
- Deep Agents
- Guardrails
- LLM Evals
- LLM Gateways

Give 30 mins to 1 hour everyday. You won't regret at all.

[Elorm Daniel @elormkdaniel]

Here are 50 domains of cybersecurity :

1. 🔒 Network Security
2. 📱 Application Security
3. ☁️ Cloud Security
4. 📱 Mobile Security
5. 🛡️ Cryptography
6. 💼 Data Loss Prevention (DLP)
7. 👤 Identity and Access Management (IAM)
8. 💻 Endpoint Security
9. 🚨 Incident Response
10. 🕵️ Threat Intelligence
11. 🛡️ Security Operations Center (SOC)
12. 📊 Security Information and Event Management (SIEM)
13. 🎯 Penetration Testing
14. 🛡️ Vulnerability Management
15. 🧠 Security Awareness Training
16. 🕵️♂️ Forensics Analysis
17. 🔐 Secure Coding
18. 🌐 Web Security
19. 📶 Wireless Security
20. 🚪 Physical Security
21. ⚖️ Risk Management
22. 📝 Compliance Management
23. 🔒 Governance, Risk, and Compliance (GRC)
24. 🏗️ Security Architecture
25. 📜 Security Policy and Procedures
26. 🌪️ Disaster Recovery
27. ⁠🔄 Business Continuity Planning
28. 🔒 Secure Development Lifecycle (SDL)
29. 🕵️♀️ Intrusion Detection and Prevention Systems (IDPS)
30. 🔐 Virtual Private Networks (VPNs)
31. 🔒 Secure Socket Layer/Transport Layer Security (SSL/TLS)
32. 🔐 Multi-factor Authentication (MFA)
33. 🚷 Zero Trust Security Model
34. 🕵️♂️ Insider Threat Management
35. 📦 Supply Chain Security
36. ⚙️ Industrial Control Systems (ICS) Security
37. 🌐 Internet of Things (IoT) Security
38. 🕵️ Data Privacy
39. 🔍 Digital Forensics
40. 🦠 Malware Analysis
41. 🎭Social Engineering
42.🕵️♂️ Threat Hunting
43. 🔗 Blockchain Security
44. 🌑 Dark Web Monitoring
45. 🎓 Security Training and Certification
46. 📈 Security Metrics and Reporting
47. ⁠🔑 Password Management
48. 🔴 Red Team/Blue Team Exercises
49. ⚙️ Security Automation
50. ⚛️ Quantum Cryptography

[Dhanian 🗯️ @e_opore]

📂 LINUX ROADMAP

┣ 📂 01 — Linux Fundamentals
┃ ┣ 📂 What Is Linux?
┃ ┣ 📂 Linux Distributions
┃ ┣ 📂 Kernel & Architecture
┃ ┣ 📂 Filesystem Hierarchy
┃ ┣ 📂 Terminal & Shell
┃ ┗ 📂 Linux Man Pages
┣ 📂 02 — Command Line
┃ ┣ 📂 pwd, ls, cd
┃ ┣ 📂 cp, mv, rm
┃ ┣ 📂 cat, less, head, tail
┃ ┣ 📂 grep, find, locate
┃ ┣ 📂 sort, uniq, cut, awk, sed
┃ ┗ 📂 Pipes & Redirection
┣ 📂 03 — Files & Directories
┃ ┣ 📂 Filesystem Navigation
┃ ┣ 📂 File Types
┃ ┣ 📂 Hard & Symbolic Links
┃ ┣ 📂 Mount Points
┃ ┣ 📂 Disk Usage
┃ ┗ 📂 File Compression
┣ 📂 04 — Users & Permissions
┃ ┣ 📂 Users & Groups
┃ ┣ 📂 chmod
┃ ┣ 📂 chown & chgrp
┃ ┣ 📂 sudo
┃ ┣ 📂 /etc/passwd
┃ ┣ 📂 /etc/shadow
┃ ┗ 📂 ACLs
┣ 📂 05 — Processes & Jobs
┃ ┣ 📂 Process Management
┃ ┣ 📂 ps & top
┃ ┣ 📂 htop
┃ ┣ 📂 Signals
┃ ┣ 📂 Background & Foreground Jobs
┃ ┣ 📂 kill & pkill
┃ ┗ 📂 Process Priority
┣ 📂 06 — Shell & Bash
┃ ┣ 📂 Bash Basics
┃ ┣ 📂 Environment Variables
┃ ┣ 📂 Shell Expansion
┃ ┣ 📂 Functions & Aliases
┃ ┣ 📂 Bash Scripting
┃ ┣ 📂 Conditional Statements
┃ ┗ 📂 Loops & Automation
┣ 📂 07 — Package Management
┃ ┣ 📂 APT
┃ ┣ 📂 DNF
┃ ┣ 📂 Pacman
┃ ┣ 📂 Snap
┃ ┣ 📂 Flatpak
┃ ┗ 📂 Software Repositories

┣ 📂 08 — Networking
┃ ┣ 📂 IP Addresses
┃ ┣ 📂 TCP/IP
┃ ┣ 📂 DNS
┃ ┣ 📂 SSH
┃ ┣ 📂 curl & wget
┃ ┣ 📂 ping & traceroute
┃ ┣ 📂 ss & netstat
┃ ┗ 📂 Network Configuration
┣ 📂 09 — Storage & Filesystems
┃ ┣ 📂 HDD & SSD
┃ ┣ 📂 Partitions
┃ ┣ 📂 ext4
┃ ┣ 📂 XFS & Btrfs
┃ ┣ 📂 LVM
┃ ┣ 📂 RAID
┃ ┗ 📂 /etc/fstab
┣ 📂 10 — System Administration
┃ ┣ 📂 systemd
┃ ┣ 📂 Services
┃ ┣ 📂 Cron & Timers
┃ ┣ 📂 Logs & journalctl
┃ ┣ 📂 Boot Process
┃ ┣ 📂 Kernel Management
┃ ┗ 📂 System Monitoring
┣ 📂 11 — Linux Security
┃ ┣ 📂 SSH Hardening
┃ ┣ 📂 Firewalls
┃ ┣ 📂 SELinux
┃ ┣ 📂 AppArmor
┃ ┣ 📂 File Permissions
┃ ┣ 📂 Security Auditing
┃ ┗ 📂 Vulnerability Management
┣ 📂 12 — Linux for Developers
┃ ┣ 📂 Git & GitHub
┃ ┣ 📂 Build Tools
┃ ┣ 📂 Environment Configuration
┃ ┣ 📂 Containers
┃ ┣ 📂 Docker
┃ ┣ 📂 Development Servers
┃ ┗ 📂 CI/CD
┣ 📂 13 — Linux for Cloud & DevOps
┃ ┣ 📂 AWS / Azure / GCP
┃ ┣ 📂 Virtual Machines
┃ ┣ 📂 Docker
┃ ┣ 📂 Kubernetes
┃ ┣ 📂 Terraform
┃ ┣ 📂 Ansible
┃ ┗ 📂 CI/CD Pipelines
┣ 📂 14 — Advanced Linux
┃ ┣ 📂 Kernel Internals
┃ ┣ 📂 System Calls
┃ ┣ 📂 Networking Internals
┃ ┣ 📂 Performance Tuning
┃ ┣ 📂 eBPF
┃ ┣ 📂 Containers Internals
┃ ┗ 📂 Troubleshooting

┗ 📂 15 — Practice & Projects
┣ 📂 Build a Linux Server
┣ 📂 Configure an SSH Server
┣ 📂 Deploy a Web Server
┣ 📂 Automate Tasks with Bash
┣ 📂 Configure a Firewall
┣ 📂 Monitor System Performance
┣ 📂 Build a Docker Host
┗ 📂 Create a Linux Home Lab

[Yoshik @AskYoshik]

Anthropic alone will spend $518 Billion on cloud and infra.

This means more data centers, more GPUs, more networking, more storage, more power, more observability, more reliability work.

For DevOps/SRE/cloud engineers, next decade could be he biggest opportunity.

And as always, I'd always suggest you to focus on first principles (linux, networking and databases)

[Sefyu @Sefyu64]

I'm begging you, start learning any of these fields:

IAM Engineering
Cloud Engineering
Infrastructure Engineering

[Vera Nanya✨ @TheCloudSE]

You see;
Infrastructure Engineer
Identity and Access Management Engineer
Platform Engineer
DevOps Engineer
Cloud Network Engineer
AI security Engineer
Cloud Security Engineer

They will be needed like never before in the coming years.

[Jesse--The Data Guy @Mbadiwejesse]

Excel Mindmap🔥

[CooperBaggs 💰🍞 @edgaralandough]

HOW TO UNF*CK YOUR WASTED MONTHS IN 31 DAYS.

(start October 1st. end October 31st. no extensions.)

[chaos @konig0000]

LINUX ROADMAP

┣ 📂 01 — Linux Fundamentals
┃ ┣ 📂 What Is Linux?
┃ ┣ 📂 Linux Distributions
┃ ┣ 📂 Kernel & Architecture
┃ ┣ 📂 Filesystem Hierarchy
┃ ┣ 📂 Terminal & Shell
┃ ┗ 📂 Linux Man Pages
┣ 📂 02 — Command Line
┃ ┣ 📂 pwd, ls, cd
┃ ┣ 📂 cp, mv, rm
┃ ┣ 📂 cat, less, head, tail
┃ ┣ 📂 grep, find, locate
┃ ┣ 📂 sort, uniq, cut, awk, sed
┃ ┗ 📂 Pipes & Redirection
┣ 📂 03 — Files & Directories
┃ ┣ 📂 Filesystem Navigation
┃ ┣ 📂 File Types
┃ ┣ 📂 Hard & Symbolic Links
┃ ┣ 📂 Mount Points
┃ ┣ 📂 Disk Usage
┃ ┗ 📂 File Compression
┣ 📂 04 — Users & Permissions
┃ ┣ 📂 Users & Groups
┃ ┣ 📂 chmod
┃ ┣ 📂 chown & chgrp
┃ ┣ 📂 sudo

[Shreya @shreyacasmalert]

if you’re in between jobs, this should help: https://t.co/JnJypO4Gqa

[Tanay Harinkhede @Tanaypawar27]

Top YouTube Channels to Master Tech Skills.

1. SQL
https://t.co/BfiJM2xhY7

2. Excel
https://t.co/WSi9NrnV78

3. Statistics
https://t.co/JQQluZKzQO

4. Math
https://t.co/r8NjwRx4VQ…

5. Python
https://t.co/D4ZsELYgS0

6. Data Analysis
https://t.co/Fk0wwr6dhj

7. Machine Learning
https://t.co/6dbZbeWvkk…

8. Deep Learning
https://t.co/4kVcOrGDZA

9. Java
https://t.co/OrSomfWnRN

10. Big Data
https://t.co/5T7Y2lzXav

11. Data Engineering
https://t.co/9OpZYEo8TL…

12. NLP (Natural Language Processing)
https://t.co/riIWybfyXQ

13. Computer Vision & AI
https://t.co/zUkVpgdHkl…

14. Generative AI
https://t.co/aUilZ0NVfp

15. University-Level Courses
https://t.co/CNSNYCtRnP
https://t.co/WldeUIKzaL

16. All-in-One Learning
https://t.co/LVDUvP2YPl

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