Undigcine
1.8K posts

Undigcine
@Undi83
IT SRE| |Saved by his grace|Husband to Zizile Sibam| Father to Mila|loves Christ, Technology, Mining and many more.
South Africa Beigetreten Haziran 2011
880 Folgt170 Follower

We’re aware of the current outage and are on top of it. Thank you for your patience while we work to get things back up and running.
Check updates here: brnw.ch/21x11HP

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Learning Python but still not getting interviews?
It’s usually because of this.
Most beginners learn Python like this ❌
• Finish courses
• Memorize syntax
• Collect certificates
• Build tutorial projects
But hiring managers look for something else.
This is how Python actually gets you hired 👇
1️⃣ Pick one direction
Automation • Backend • Data
2️⃣ Learn the core properly
Functions • Lists • Dicts • APIs
3️⃣ Build 4 projects that feel like real work
Example:
• File automation tool
• API data collector
• Data report generator
• Simple web app
4️⃣ Push everything to GitHub
5️⃣ Write a clean README
Explain the problem → solution → output.
6️⃣ Deploy at least one project
7️⃣ Show your progress publicly.
Truth most learners realise too late:
Companies don’t hire people who
“learned Python”.
They hire people who can
build with Python.
Courses teach syntax.
Projects prove skills.
Reply PYTHON
and I’ll share 10 Python projects that actually impress recruiters. 🚀
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🚨 Arsenal will have to sell at least one first-team player this summer. It is understood that there are discussions around who would yield the most lucrative sale & whether more than one player might have to go. Gabriel Martinelli & Ben White are strong candidates. [@SamJDean]

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DevOps Breakdown (2026)
• Linux fundamentals
• Networking fundamentals
• Git & branching strategies
• CI / CD pipelines
• Infrastructure as Code (TF / OT)
• Containers (Docker)
• Orchestration (Kubernetes)
• Cloud platforms (AWS / Azure / GCP)
• Monitoring & observability
• Logging systems
• Security & secrets management
• Scripting (Bash / Python)
• SRE fundamentals
• Cost optimization & scaling
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Cloud Engineer Roadmap 2026-
Step 1: 🧠 Learn Linux & Networking Basics
Step 2: ☁️ Understand Cloud Fundamentals
Step 3: ⚙️ Pick a Provider (AWS, Azure, GCP)
Step 4: 🛠️ Work with Core Services (Compute, Storage, DB)
Step 5: 📦 Learn Containers (Docker)
Step 6: ☸️ Orchestration with Kubernetes
Step 7: 🧪 Monitor & Automate Infrastructure
Step 8: 🚀 Deploy Real Projects on Cloud
Step 9: 💼 Get Certified & Apply for Roles
🔒 Pro Tip: Always track cost & security!
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FREE certifications, 💯 accepted in the industry:
1. Full Stack Web Development
freecodecamp.org/learn/
2. Computer Science
learn.saylor.org/course/index.p…
3. Software Engineering
hackerrank.com/skills-verific…
4. Python
netacad.com/courses/python…
5. Python
programming-25.mooc.fi
6. JavaScript
netacad.com/courses/javasc…
7. Data Analysis with Python
courses.mooc.fi/org/uh-cs/cour…
8. Data Analytics
netacad.com/courses/data-a…
9. AI
elementsofai.com
10. DevOps with Kubernetes
devopswithkubernetes.com
11. Fullstack Web Development
fullstackopen.com
12. Neo4j Certified Professional
graphacademy.neo4j.com/certifications…
13. Neo4j Data Science Certification
graphacademy.neo4j.com/courses/gds-ce…
14. SEO, Marketing, Sales
academy.hubspot.com/certification-…
15. AI/ML, Data Science
kaggle.com/learn
16. Ethical Hacking
netacad.com/courses/ethica…
17. Networking
netacad.com/courses/networ…




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50% OFF CKA, CKAD, CKS, KCNA, KCSA... 🚀
For individual certifications,
Use code LUNAR26CT at kube.promo/devops to get flat 35% discount
Use code LUNAR26BUNCT with the following bundles to get flat 50% discount.
- CKA + CKAD: kube.promo/cka-ckad
- CKA + CKS → kube.promo/bundle
- CKA + CKAD + CKS → kube.promo/k8s-bundle
- KCNA + KCSA + CKA + CKAD + CKS → kube.promo/kubestronaut
⏳ Hurry, this code expires in soon!
Don’t miss this chance to certify & level up!
#devops #kubernetes #ck

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Learning how to work with AI in the cloud is an important skill for devs these days.
And in this 23 hour course, @andrewbrown teaches you all the fundamentals of Generative AI.
You'll learn about LLMs, AI assistants, prompt engineering, development tools, RAG, and more.
freecodecamp.org/news/learn-gen…

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These Linux commands helped me most in last 13 years of IT career
Daily stuff:
• ps aux | grep {process} - Find that sneaky process
• lsof -i :{port} - Who's hogging that port?
• df -h - The classic "we're out of space" checker
• netstat -tulpn - Network connection detective
• kubectl get pods | grep -i error - K8s trouble finder
Log related commands:
• tail -f /var/log/* - Real-time log watcher
• journalctl -fu service-name - SystemD log stalker
• grep -r "error" . - The error hunter
• zcat access.log.gz | grep "500" - Compressed log ninja
• less +F - The better tail command
Container cli:
• docker ps --format '{{.Names}} {{.Status}}' - Clean status check
• docker stats --no-stream - Quick resource check
• crictl logs {container} - Raw container stories
• docker exec -it - The container backdoor
• podman top - Process peek inside containers
System Detectives:
• htop - System resource storyteller
• iostat -xz 1 - Disk performance poet
• free -h - Memory mystery solver
• vmstat 1 - System vital signs
• dmesg -T | tail - Kernel's recent gossip
Network stuff:
• curl -v - HTTP conversation debugger
• dig +short - Quick DNS lookup
• ss -tunlp - Socket statistics simplified
• iptables -L - Firewall rule reader
• traceroute - Path finder
File and stuff:
• find . -name "*.yaml" -type f - YAML hunter
• rsync -avz - Better file copier
• tar -xvf - The unzipper (yes, we all google this)
• ln -s - Symlink wizard
• chmod +x - Make it executable
Performance:
• strace -p {pid} - System call spy
• tcpdump -i any - Network packet sniffer
• sar -n DEV 1 - Network stats watch
• uptime - Load average at a glance
• top -c - Classic process viewer
Git Essentials:
• git log --oneline - History simplified
• git reset --hard HEAD^ - The "oops" eraser
• git stash - The work hider
• git diff --cached - What's staged?
• git blame - The "who did this?" resolver
Quick Fixes:
• sudo !! - Run last command with sudo
• ctrl+r - Command history search
• history | grep - Command time machine
• alias - Command shortcut maker
• watch - Command repeater
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If you are Backend Dev → learn Python
If you are Frontend Dev → learn Python
If you are QA Engineer→ learn Python
If you are Devops Engr → learn Python
If you are SRE → learn Python
If you are Cloud Engr → learn Python
If you are Data Engr → learn Python
If you are Data Analyst → learn Python
If you are ML Engr → learn Python
If you are AI Engineer → learn Python
If you are Security Engr→ learn Python
If you are Platform Engr → learn Python
Because Python works in every layer: apps, infra, data, AI, ML.
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Terraform is the one skill that separates DevOps engineers who click through consoles from those who deploy infrastructure in seconds.
I've had written a comprehensive "Terraform Handbook for DevOps Engineers" ebook that thousands of people loved
and I'm giving it away for free.
To get it for free, just do 3 things.
✓ Follow me (for DM access)
✓ Retweet this post
✓ Comment "Terraform"
And I will personally send you that.
P.S. If i missed sending you due to some issues, just DM me and I will share

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🚨 Tottenham have sacked Thomas Frank as head coach, reports @David_Ornstein. ❌🇩🇰
Tottenham’s next match is against Arsenal on Sunday, 22 February.

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Continuous Integration and Continuous Delivery let you quickly update your code & deploy your apps.
And in this tutorial, @chidiadi01 teaches you how to use GitHub Actions to build a CI/CD pipeline.
You'll learn key GitHub actions concepts, the phases of the CI/CD process, & how everything comes together.
freecodecamp.org/news/automate-…

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DevOps Concepts to Master before Interviews ✅
1. DevOps Culture and CI/CD fundamentals
2. Linux basics and shell scripting
3. Git workflows (branching, merging, rebasing)
4. Continuous Integration tools (GitHub Actions, GitLab CI, Jenkins)
5. Continuous Deployment strategies (Blue-Green, Canary, Rolling)
6. Containerization with Docker
7. Docker Compose for multi-service applications
8. Kubernetes architecture and core objects (Pods, Services, Deployments)
9. Infrastructure as Code (Terraform, CloudFormation)
10. Cloud platforms (AWS, Azure, GCP basics)
11. Configuration management (Ansible, Chef, Puppet)
12. Networking fundamentals (DNS, HTTP/HTTPS, TCP/IP, Load Balancers)
13. Reverse proxies (Nginx, Traefik)
14. Monitoring and observability (Prometheus, Grafana, ELK stack)
15. Logging and tracing strategies
16. Security best practices (Secrets management, IAM, TLS/SSL)
17. Scaling systems (Auto-scaling, Horizontal vs Vertical scaling)
18. Caching and performance optimization (Redis, CDN)
19. Message queues and streaming (Kafka, RabbitMQ, SQS)
20. Disaster recovery, backups, and high availability
📘 Grab the Recommended Ebook for Deep DevOps Mastery
👉 codewithdhanian.gumroad.com/l/yiirl

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Data Engineering Course with 20+ End-to-End Projects!
What started as a few courses has now turned into a complete Data Engineering ecosystem.
Today, our Data Engineering Course includes 20+ end-to-end projects and covers pretty much everything you need to crack interviews and survive the real job:
✅ Python for Data Engineering
✅ SQL for Data Engineering
✅ Data Warehousing with Snowflake
✅ Apache Spark with Databricks
✅ Apache Airflow
✅ Apache Kafka
✅ Cloud (AWS, GCP, Azure)
✅ End-to-End Real World Projects
✅ Interview Preparation Kit
✅ And a proper “Start Here” roadmap so beginners don’t feel lost
Here’s the thing.
Most people fail interviews not because they don’t know tools…
They fail because they’ve never built real systems end-to-end.
So we designed this like an actual Data Engineer’s journey:
- Build pipelines
- Move data across systems
- Orchestrate workflows
- Work with warehouses
- Handle scale
- And explain your design decisions like a pro in interviews
And we’re not stopping.
We’re continuously adding more projects, more scenarios, more interview-focused content so you’re never underprepared.
If your goal in 2026 is to seriously break into Data Engineering or level up, this is exactly what we’re building DataVidhya for.
Proud of how far this has come. Even more excited about what’s coming next. 💪

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@SkySportsNews It is in the hands of Arsenal to lose or win the league
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