Musa Bangash

ھیہات منا الذلہ

[Mohammed Junaid @mdjunaidap]

Vibe coding in 60 seconds.

[Fatemeh Abv 🟩 ☫ 🟥 @fa_abv]

The vibe of Tehran’s streets last night in the spring rain. 💚🌧️

[Vital Viz @VitalViz]

Ointments and their Uses .

[Learn Something New @HorifyingPeople]

Things not to say in a Job Interview.

[Musa Bangash @MusaBangash111]

@Ahmed_hassan_za So nobody cares about opinion

[S p r i n t e r @SprinterPress]

A scene that will remain in the history of Iran forever

A flag soaked in the blood of the martyrs of today's Israeli-American bombing of Tehran. They wanted to stop the marches, but the people rallied even more and continued to march with even greater steadfastness and determination! This is the legacy left by Imam Khomeini and Martyr Imam Ali Khamenei. This bloodied flag has now become a symbol of resistance

[Ibrahim mukhtar @ibrahimhadi313]

یہی ایک تصویر کافی ہے

[Musa Bangash @MusaBangash111]

@fightfalsehood1 Really how much more patient and main ideology of akbari

[Musa Bangash @MusaBangash111]

@umankhankhattak @Megatron_ron Apni maaa choda Muawiya Kay pillay

[Modern Dad @ModernxDad]

The fastest way to lose a good man..

[freeCodeCamp.org @freeCodeCamp]

If you want to train your AI models faster, an approach called pipeline parallelism might work for you.

It splits a huge model up across multiple GPUs and processes data like an assembly line.

In this course, you'll learn how it works and build a distributed training system step-by-step from scratch.

https://t.co/jYszGqeaHJ

[Dhanian 🗯️ @e_opore]

Docker & Containerization Roadmap

PHASE 1: FUNDAMENTALS & BASICS
├── Container Concepts
│ ├── What are containers vs VMs
│ ├── Containerization benefits
│ ├── Docker architecture
│ └── Container orchestration overview
├── Docker Installation
│ ├── Docker Desktop (Windows/Mac)
│ ├── Docker Engine (Linux)
│ └── Verify installation: `docker --version`
├── Basic Commands
│ ├── `docker run hello-world`
│ ├── `docker ps`, `docker images`
│ ├── `docker pull`, `docker rmi`
│ └── Container lifecycle commands

PHASE 2: DOCKER IMAGES
├── Dockerfile Fundamentals
│ ├── Base images (FROM)
│ ├── Copy files (COPY/ADD)
�� ├── Run commands (RUN)
│ ├── Expose ports (EXPOSE)
│ └── Default command (CMD vs ENTRYPOINT)
├── Building Images
│ ├── `docker build -t myapp:tag .`
│ ├── Multi-stage builds
│ └── Image layers and caching
├── Docker Hub & Registries
│ ├── Push/pull to Docker Hub
│ ├── Private registries
│ └── Image tagging best practices

PHASE 3: CONTAINER MANAGEMENT
├── Container Operations
│ ├── Interactive vs detached mode
│ ├── Port mapping (`-p 8080:80`)
│ ├── Volume mounts (`-v /host:/container`)
│ └── Environment variables (`-e`)
├── Docker Networking
│ ├── Default networks (bridge, host, none)
│ ├── Create custom networks
│ ├── Container-to-container communication
│ └── DNS resolution between containers
├── Docker Storage
│ ├── Volumes (`docker volume create`)
│ ├── Bind mounts
│ └── tmpfs mounts

PHASE 4: DOCKER COMPOSE
├── Compose Basics
│ ├── `docker-compose.yml` structure
│ ├── Services, networks, volumes
│ └── `docker-compose up/down`
├── Multi-Container Applications
│ ├── Web app + database setup
│ ├── Environment variables in Compose
│ └── Dependency management (depends_on)
├── Production Considerations
│ ├── Compose file versions
│ ├── Resource limits
│ └── Health checks

PHASE 5: PRODUCTION & BEST PRACTICES
├── Security
│ ├── Non-root users in containers
│ ├── Image scanning (Trivy, Grype)
│ ├── Secrets management
│ └── Reducing attack surface
├── Optimization
│ ├── Small base images (Alpine)
│ ├── Layer minimization
│ ├── `.dockerignore` file
│ └── Build context optimization
├── CI/CD Integration
│ ├── Docker in GitHub Actions
│ ├── Docker in GitLab CI
│ └── Build automation pipelines

PHASE 6: CONTAINER ORCHESTRATION (KUBERNETES)
├── Kubernetes Fundamentals
│ ├── Pods, Deployments, Services
│ ├── `kubectl` basic commands
│ ├── Minikube / Kind setup
│ └── YAML manifest files
├── Docker & Kubernetes
│ ├── Building images for Kubernetes
│ ├── Private registry integration
│ └── ConfigMaps and Secrets
├── Production Kubernetes
│ ├── Helm charts
│ ├── Ingress controllers
│ └── Monitoring (Prometheus, Grafana)

PHASE 7: ADVANCED TOPICS
├── Docker Swarm (Alternative to K8s)
│ ├── Swarm mode basics
│ ├── Services and stacks
│ └── Overlay networks
├── Cloud Container Services
│ ├── AWS ECS/EKS
│ ├── Azure AKS
│ ├── Google GKE
│ └── Managed container registries
├── Monitoring & Logging
│ ├── Docker logs management
│ ├── Centralized logging (ELK, Loki)
│ └── Monitoring (cAdvisor, Portainer)

PHASE 8: SPECIALIZED SCENARIOS
├── Development Workflows
│ ├── Development containers (Dev Containers)
│ ├── Live reload in containers
│ └── Debugging containers
├── Legacy Application Containerization
│ ├── Monolith to container migration
│ ├── Database in containers (stateful apps)
│ └── Backup strategies
├── Edge Cases
│ ├── Docker on ARM/Raspberry Pi
│ ├── GPU acceleration (NVIDIA Docker)
│ └── Windows containers

LEARNING RESOURCES
├── Official Documentation
│ ├── https://t.co/xNt68NA32C
│ └── https://t.co/yPtRlY2MoJ
├── Practice Platforms
│ ├── Play with Docker (https://t.co/C3Bkr2h6zD)
│ ├── Katacoda (free courses)
│ └── Docker's official tutorial
├── Certifications (Optional)
│ ├── Docker Certified Associate (DCA)
│ └── Certified Kubernetes Administrator (CKA)

PROJECTS TO BUILD
1. Simple static website container
2. Multi-container app (Node.js + Redis + PostgreSQL)
3. CI/CD pipeline with Docker
4. Deploy to Kubernetes cluster
5. Full-stack microservices application

Estimated Time: 3-6 months for comprehensive understanding
Prerequisites: Basic Linux/CLI, Git fundamentals

Progression Tips:
1. Start with Phase 1-2, build simple containers
2. Move to Phase 3-4 for multi-container apps
3. Skip to Phase 6 early for Kubernetes basics
4. Return to Phase 5 for production optimizations
5. Practice daily with real projects

Key Philosophy; Learn by doing - break things, fix them, understand why they broke.

Grab this Docker Handbook; https://t.co/sC9bTrAJWt

[Dhanian 🗯️ @e_opore]

40 projects to master DevOps in 2026:

1. End-to-End CI/CD Pipeline: Build, test, secure, and deploy a microservice automatically.
2. Multi-Cloud Kubernetes Cluster: Deploy and manage a cluster across AWS, Azure, and GCP.
3. Infrastructure as Code (IaC) Mastery: Build a production environment using Terraform and Pulumi.
4. GitOps Implementation: Manage Kubernetes deployments with ArgoCD or Flux.
5. Observability Stack Deployment: Integrate Prometheus, Grafana, Loki, and Tempo/Jeager.
6. Cloud Cost Optimization Dashboard: Build a real-time monitoring & alerting system for cloud spend.
7. Container Security Pipeline: Integrate vulnerability scanning (Trivy) & image signing into CI.
8. Serverless Deployment Pipeline: Automate deployment for AWS Lambda/Azure Functions with canary releases.
9. Database CI/CD: Automate schema migrations & manage rollbacks safely.
10. Disaster Recovery Automation: Script a full failover & restore process for a multi-tier application.
11. Secret Management System: Deploy & integrate HashiCorp Vault with dynamic secrets for databases.
12. On-Demand Staging Environments: Create ephemeral environments for every pull request.
13. Chaos Engineering Framework: Implement controlled failure experiments using Chaos Mesh or Litmus.
14. Self-Service Developer Portal: Build an internal platform with Backstage or similar.
15. Distributed Tracing Implementation: Instrument a microservices app & visualize traces.
16. Performance Benchmarking Pipeline: Automate load testing & performance regression detection.
17. Compliance as Code: Enforce security policies using Open Policy Agent (OPA) or Checkov.
18. AI-Ops Integration: Build a system that uses AI to analyze logs and predict incidents.
19. Zero-Downtime Deployment Strategy: Implement blue-green or canary deployments for a stateful app.
20. Monitoring as Code: Define all alerts & dashboards using declarative configurations.
21. Edge Computing Deployment: Manage & deploy applications to a fleet of edge devices.
22. MLOps Pipeline: Build a CI/CD pipeline for machine learning models from training to production.
23. Immutable Infrastructure Project: Rebuild & replace servers on every deployment.
24. Configuration Drift Detection: Build a system to detect & remediate unauthorized changes.
25. Internal Developer Platform (IDP): Create a unified platform for provisioning & managing services.
26. High-Availability Setup for Stateful Services: For databases (PostgreSQL, Redis) on Kubernetes.
27. Secrets Rotation Automation: Build a system to automatically rotate all credentials & keys.
28. Multi-Region Deployment Strategy: Deploy an application across multiple cloud regions.
29. Git Repository Management at Scale: Implement & manage monorepos with efficient CI.
30. Log Aggregation & Analysis Pipeline: Centralize logs from containers, VMs, & serverless.
31. Vulnerability Management Workflow: Automate detection, ticketing, & patching of CVEs.
32. Capacity Planning Automation: Use metrics to predict & automatically scale resources.
33. Service Mesh Implementation: Deploy Istio or Linkerd for advanced traffic management & security.
34. Backup and Restore Automation: For both cloud-native & on-premises workloads.
35. Cloud Migration Automation: Script the lift-and-shift of a legacy application.
36. Real-Time Application Performance Monitoring (APM): Deploy & configure Datadog or New Relic.
37. Environment Parity Enforcement: Ensure dev, staging, & prod are identical via automation.
38. Infrastructure Cost Attribution: Tag & report cloud costs by team, project, and service.
39. Golden Image Pipeline: Automate the creation & maintenance of hardened VM/container images.
40. Developer Productivity Metrics Platform: Measure & improve DORA metrics

Complete these projects, and you'll possess the hands-on expertise to design, automate, and maintain the resilient, efficient systems that define modern DevOps.

Grab this Ebook to master DevOps Projects:
https://t.co/AARZZLpMPB

[Dhanian 🗯️ @e_opore]

AWS Roadmap 2026: Simplified Learning & Career Path
│
├── 1. Cloud Computing Basics
│ ├── Cloud concepts and benefits
│ ├── IaaS, PaaS, SaaS
│ └── AWS global infrastructure
│
├── 2. Core AWS Services
│ ├── Compute
│ │ ├── EC2
│ │ ├── Auto Scaling
│ │ └── Load Balancers
│ ├── Storage
│ │ ├── S3
│ │ ├── EBS / EFS
│ │ └── Storage classes
│ ├── Databases
│ │ ├── RDS
│ │ ├── DynamoDB
│ │ └── Database selection
│ └── Networking
│ ├── VPC
│ ├── Subnets
│ └── Routing basics
│
├── 3. Security & Identity
│ ├── IAM users, roles, policies
│ ├── Security Groups and NACLs
│ └── Shared Responsibility Model
│
├── 4. Serverless & Modern AWS
│ ├── AWS Lambda
│ ├── API Gateway
│ ├── SQS, SNS, EventBridge
│ └── Event-driven architectures
│
├── 5. Containers on AWS
│ ├── Docker fundamentals
│ ├── ECS and Fargate
│ └── EKS basics
│
├── 6. Infrastructure as Code & CI/CD
│ ├── CloudFormation
│ ├── AWS CDK
│ └── CodePipeline basics
│
├── 7. Monitoring & Optimization
│ ├── CloudWatch metrics and logs
│ ├── Performance optimization
│ └── Cost management basics
│
├── 8. Data & AI on AWS
│ ├── Data lakes on S3
│ ├── Analytics basics
│ └── Generative AI with Bedrock
│
├── 9. Reliability & Best Practices
│ ├── High availability
│ ├── Backup and recovery
│ └── AWS Well-Architected Framework
│
├── 10. Certifications Path (2026)
│ ├── Cloud Practitioner
│ ├── Associate certifications
│ └── Professional & Specialty
│
└── 11. Career & Hands-On Practice
├── Real-world AWS projects
├── Cloud and DevOps roles
└── Continuous learning

Recommended Ebook
→ Grab the AWS Developer's Handbook: From Beginner to Cloud Architect
→ https://t.co/G3pdEOq4DK

[Vivek Galatage @vivekgalatage]

This is another "start here"!

https://t.co/tQ3jjgdLfe

[Marvin @sp4rtan300]

New reads 🐬 🚢

[The Tech Fusionist @TTechFusionist]

🐍 Learn Python from Scratch — 5 Hands-On Projects Inside! 💻🔥

I’ve put together a beginner-friendly Python guide packed with real projects that’ll help you go from “What’s a variable?” to “I built this myself!” 🚀

🎁 FREE for the next 24 hours (or 171 slots only)

To grab your copy:
1️⃣ Like ❤️
2️⃣ Repost 🔁
3️⃣ Comment “Python101”
4️⃣ Follow 👉 @TTechFusionist (so I can DM you the guide)

I started with zero coding background — this is the exact kind of resource I wish I had back then. 💪

[Massimo @Rainmaker1973]

A hyper-realistic robot costume