DANIEL BURBANO FERRI

[The Hacker @theprocracker]

How to Decompile, Modify and Rebuild an APK using Apktool in Kali Linux

[Mr Nikola @nikola_mr64990]

50 websites that feel like the internet’s hidden toolbox 🧰

1. https://t.co/pRHdJFkynm — Free research papers
2. https://t.co/CfyCSHfLOj — Borrow books online
3. https://t.co/Npuzxsrj9Y — Free academic journals
4. https://t.co/GXHXY03kg7 — App alternatives
5. https://t.co/mY4IB8qLCA — Find where to stream
6. https://t.co/3ukSXx7lYS — Internet archives
7. https://t.co/vruAyFIh9P — 70K+ free books
8. https://t.co/iSoRwJ4qgz — Free textbooks
9. https://t.co/b95kMax6Pu — Free courses
10. https://t.co/khrLa6CRS3 — Solve complex problems
11. https://t.co/PGHiWJSjta — Photoshop alternative
12. https://t.co/60bCXyU3Be — Compress images
13. https://t.co/D0QTqI3srx — Remove backgrounds
14. https://t.co/sBCvU7Sop6 — Remove objects
15. https://t.co/87MmRhovm8 — Remove video backgrounds
16. https://t.co/wMZEp3cbX5 — Beautiful code images
17. https://t.co/1GMigYETLT — Code screenshots
18. https://t.co/fnf1k7DRK1 — Product mockups
19. https://t.co/CQsqzutFgY — Create mockups
20. https://t.co/pRYeYY0kD5 — Check data breaches
21. https://t.co/hxTunnEd4R — Scan files & URLs
22. https://t.co/rblCiRs1I3 — Self-destructing notes
23. https://t.co/cXZAyqxs03 — Temporary email
24. https://t.co/D75Opb7EXg — Temporary file sharing
25. https://t.co/VqsIgXTjdD — Save webpages
26. https://t.co/1ZdniRZpef — Find similar websites
27. https://t.co/1lsnnGhuQV — Explore global radio
28. https://t.co/kEYkknEGWZ — Discover music genres
29. https://t.co/gR38Q429S9 — Find songs from shows
30. https://t.co/RrgB4ABY65 — Focus music
31. https://t.co/Krnix3JFr7 — Custom background sounds
32. https://t.co/0ISvVcUJF5 — Café ambience
33. https://t.co/nWZWnlbRBe — Research assistant
34. https://t.co/HtR2UiXFGr — Research-backed answers
35. https://t.co/klVCoBYGDT — Research connections
36. https://t.co/EUWe7aMo8O — Academic search
37. https://t.co/QDXrrlUTAm — Understand research papers
38. https://t.co/C0wtKPXJwi — YouTube summaries
39. https://t.co/9Rq40mEGWf — AI for developers
40. https://t.co/PSx5igy8Wu — Test regex
41. https://t.co/TjFloroywt — Format code
42. https://t.co/OsrXpRrvDN — Format JSON
43. https://t.co/bH1A6cewDx — Understand terminal commands
44. https://t.co/IPPPykqMIv — Bookmark manager
45. https://t.co/fpabbpkSof — Check outages
46. https://t.co/29AABpQwbo — Reverse image search
47. https://t.co/03AlB6EMnk — Internet speed test
48. https://t.co/wpXdL14DU9 — PDF tools
49. https://t.co/nRvtqIi30b — Merge/split PDFs
50. https://t.co/UUEn1B1lj1 — Temporary email

Save this. You’ll definitely need some of these later. 🔖

Follow @nikola_mr64990 for more useful websites, AI tools & tech resources.

[Guillermo Casaus @_guillecasaus]

Un desarrollador acaba de cargarse el negocio de DocuSign.

Ha creado una herramienta para firmar documentos sin límites y sin pagar por cada envío.

Funciona en tu propio servidor, con control total sobre tus contratos y datos.

Es gratis y 100% open-source 👇

[Tom Dörr @tom_doerr]

67 hands-on cybersecurity projects plus certifications

https://t.co/xu93Q5bOoU

[Ayaan 🐧 @twtayaan]

15 Best Observability Tools in DevOps for 2026:

1. Prometheus
https://t.co/aZDt3o8Lxk

2. Grafana
https://t.co/TijTUdqAXk

3. OpenTelemetry
https://t.co/54I7DVNHbs

4. Jaeger
https://t.co/h5cZbphZCm

5. OpenSearch / ELK Stack
https://t.co/HPo89627mg

6. Graylog
https://t.co/f3ycEuhveI

7. Loki
https://t.co/ARSrFWAaNZ

8. Tempo
https://t.co/SjSXc9AAHl

9. Fluent Bit / Fluentd
https://t.co/bitUpIvqsi

10. Thanos
https://t.co/ieMlDa7ZNm

11. VictoriaMetrics
https://t.co/Gauc0bL6xY

12. SigNoz
https://t.co/5hv7UIyaes

13. Datadog
https://t.co/38BwfFbfJh

14. New Relic
https://t.co/px4OQtE5dZ

15. Dynatrace
https://t.co/nQgJH8OZC7

Bookmark this before you forget 🔖

[Dhanian 🗯️ @e_opore]

DOCKER ROADMAP

SOFT SKILLS

Communication Skills → Clearly explain containerized systems and workflows
Problem-Solving Skills → Debug container issues and deployment failures
Critical Thinking → Choose the right containerization strategies
Collaboration & Teamwork → Work with DevOps and development teams
Adaptability → Keep up with evolving container technologies

LINUX BASICS

Command Line (CLI) → Navigate and manage systems efficiently
Filesystem → Understand directories, paths, and file structures
Permissions → Manage user roles and access control
Bash Scripting → Automate repetitive tasks
Process Management → Monitor and control running processes

DOCKER CORE CONCEPTS

What is Docker → Containerization platform for packaging applications
Docker Engine → Core runtime that builds and runs containers
Images → Blueprints for creating containers
Containers → Lightweight, isolated environments for apps
Dockerfile → Script to define how images are built
Volumes → Persistent data storage for containers
Networks → Communication between containers
Docker CLI → Command-line interface for managing Docker

WORKING WITH IMAGES & CONTAINERS

Pull Images → Download from Docker Hub
Build Images → Create custom images using Dockerfile
Run Containers → Start applications in isolated environments
Stop & Remove Containers → Manage lifecycle
Tagging Images → Version control for images
Push Images → Upload to registries (Docker Hub, private registry)

ADVANCED DOCKER

Multi-Stage Builds → Optimize image size and performance
Docker Compose → Define and run multi-container applications
Docker Swarm → Native clustering and orchestration
Container Scaling → Handle high traffic and load
Health Checks → Monitor container health
Logging & Monitoring → Track container performance

DOCKER ECOSYSTEM

Docker Hub → Public image registry
Docker Desktop → GUI tool for managing containers
Private Registries → Secure internal image storage
Portainer → Container management UI
Kubernetes → Advanced orchestration system
CI/CD Integration → Automate build and deployment pipelines

NETWORKING IN DOCKER

Bridge Network → Default container communication
Host Network → Direct access to host networking
Overlay Network → Multi-host communication (Swarm/Kubernetes)
Port Mapping → Expose container services externally
Service Discovery → Enable containers to find each other

STORAGE & VOLUMES

Volumes → Persistent storage managed by Docker
Bind Mounts → Map host files to containers
tmpfs Mounts → Temporary storage in memory
Data Backup → Secure container data
Data Sharing → Share data across containers

SECURITY BEST PRACTICES

Image Security → Use trusted and minimal base images
Secrets Management → Secure sensitive data
User Permissions → Avoid running containers as root
Vulnerability Scanning → Detect security risks
Secure Networking → Restrict unnecessary ports

DEVOPS & REAL-WORLD USAGE

Microservices Architecture → Break apps into smaller services
CI/CD Pipelines → Automate testing and deployment
Cloud Deployment → AWS, Azure, GCP container services
Infrastructure as Code → Manage environments programmatically
Monitoring Tools → Prometheus, Grafana

OTHER IMPORTANT CONCEPTS

Container Orchestration → Kubernetes, Docker Swarm
Load Balancing → Distribute traffic efficiently
API Integration → Connect services and containers
Scalability → Handle growing workloads
High Availability → Ensure system reliability

QUICK TIP:

Learn Linux Basics → Understand system fundamentals
Master Docker Core → Images, containers, Dockerfile
Practice Projects → Build and deploy real apps
Learn Docker Compose → Multi-container setups
Explore Kubernetes → Advanced orchestration
Deploy to Cloud → Production-ready systems

Grab the DOCKER EBOOK:
https://t.co/oChtnk31Kv

[Shalini Goyal @goyalshaliniuk]

RAG is not just one technique, it is an entire ecosystem of intelligence.

From context-aware assistants to domain-specific systems, here are 16 types of RAG models shaping the next wave of AI innovation -

1. Standard RAG
The foundation of all RAG systems - combines retrieval and generation for question answering and knowledge synthesis.

2. Agentic RAG
Empowers AI agents to retrieve and act autonomously, perfect for assistants that need dynamic, tool-based reasoning.

3. Graph RAG
Uses knowledge graphs for relational reasoning - ideal for expert systems in law, medicine, and semantic search.

4. Modular RAG
Breaks retrieval, reasoning, and generation into independent components - enabling collaborative, scalable AI workflows.

5. Memory-Augmented RAG
Adds persistent external memory for context retention, powering long-term chatbots and personalized experiences.

6. Multi-Modal RAG
Processes text, images, and audio together - perfect for video summarization, captioning, and multi-modal AI tools.

7. Federated RAG
Enables privacy-preserving retrieval from decentralized sources, used in healthcare and secure enterprise systems.

8. Streaming RAG
Performs real-time retrieval and generation, ideal for financial dashboards, live feeds, and social media monitoring.

9. ODQA RAG (Open-Domain QA)
Handles large, diverse datasets - ideal for search engines and intelligent virtual assistants.

10. Contextual Retrieval RAG
Maintains session-level awareness, great for conversational AI and customer support chatbots.

11. Knowledge-Enhanced RAG
Integrates structured domain data, useful for legal, educational, and professional knowledge applications.

12. Domain-Specific RAG
Custom-tailored for specific industries - like finance, healthcare, or legal analytics.

13. Hybrid RAG
Combines multiple retrieval approaches, bridging structured and unstructured data for high precision.

14. Self-RAG
Introduces self-reflection to refine its own answers, enabling AI models to fact-check and improve reasoning autonomously.

15. HyDE RAG (Hypothetical Document Embeddings)
Generates hypothetical documents to guide retrieval, excellent for complex or niche query contexts.

16. Recursive / Multi-Step RAG
Performs multiple retrieval-generation loops, enabling advanced problem-solving and reasoning chains.

From simple retrievals to self-improving AI reasoning loops, RAG is evolving fast.
Which type do you think will dominate enterprise AI systems in 2026?

[Miguel Ángel Durán @midudev]

¡Esto es oro! 4 Cursos gratuitos de Ciberseguridad:

✓ Introducción y Fundamentos
✓ Seguridad de la red
✓ Ataques y defensa en la nube
✓ Centro de operaciones (SOC)

De la reputada firma PaloAlto Networks
→ https://t.co/9wpZSdxBP1

[Muqsit 𝕏 @mqst_]

🔬 Nmap Ultimate Tutorial: A Tutorial for the Greatest Scanning Tool of All Time

Blog: https://t.co/y8VFEf0Uhh

Author: Manish Shivanandhan

#infosec

[El Pingüino De Mario @PinguinoDeMario]

🔴 NUEVO VÍDEO!!

Hoy vamos a poner a prueba la inteligencia artificial para ver si es capaz de corregir y encontrar vulnerabilidades como lo haría un pentester, y si puede llegar a sustituirnos 👀🔥

https://t.co/A4TANC7fSj

[Ayaan 🐧 @twtayaan]

⚓ Kubernetes Architecture & Pod Creation

A Kubernetes cluster is made up of two main types of nodes:

➡️ Control Node (Master):
This is where cluster decisions are made. It runs:

→ kube-api server
→ etcd
→ scheduler
→ controller manager

➡️ Compute Node (Worker)
This is where your workloads actually run. Each worker node includes:

→ kubelet
→ kube-proxy
→ container runtime (CRI)
→ cluster networking (CNI)

🔄 How a Pod Is Created in Kubernetes
When you create a pod, this is the flow that follows:

1️⃣ API Server:
→ All kubectl requests go to the API server.
It authenticates, validates, and accepts the request.

2️⃣ etcd:
→ The desired state of the pod is stored in etcd, the cluster’s distributed key-value database.

3️⃣ Scheduler:
→ The scheduler looks for a suitable worker node and assigns the pod based on available resources.

4️⃣ Kubelet:
→ The kubelet on the chosen worker node notices the assignment and works with the container runtime to create the pod.

5️⃣ Kube-proxy:
→ Handles networking so the pod can communicate with other pods and services across the cluster.

6️⃣ Controller Manager:
→ Continuously watches the cluster state.
→ If a pod crashes or goes missing, it takes action to restore the desired state automatically.

[Guillermo Casaus @_guillecasaus]

🚨 Este tipo acaba de desplegar ClawdBot en menos de 5 minutos.

Un tutorial donde muestra cómo lanzar tu propio agente de IA, con acceso completo al sistema y funcionando en WhatsApp, Discord o Telegram.

Si quieres tener tu propio empleado de IA 24/7, esto te interesa 👇

[Dhanian 🗯️ @e_opore]

Linux System Monitoring

1. Introduction

→ System Monitoring is the process of observing CPU, memory, disk, network, and processes to ensure the system runs efficiently.
→ Helps detect performance bottlenecks, failures, and resource exhaustion.
→ Essential for developers, system administrators, and DevOps engineers.

2. Why System Monitoring Matters
→ Detect high CPU or memory usage early.
→ Prevent crashes and downtime.
→ Optimize performance and resource allocation.
→ Troubleshoot slow or failing applications.
→ Maintain system reliability in production environments.
3. Monitoring CPU Usage

→ top

→ Displays real-time process and CPU usage.
→ Shows load average, running tasks, memory, and CPU stats.
→ Useful for quick diagnostics.

→ htop
→ Improved version of top with interactive UI.
→ Allows sorting, filtering, and killing processes easily.
→ uptime
→ Shows how long the system has been running.
→ Displays load averages for 1, 5, and 15 minutes.
4. Monitoring Memory Usage

→ free

→ Shows RAM and swap usage.
→ Displays used, free, and available memory.

→ vmstat

→ Reports memory, processes, paging, and CPU activity.
→ Useful for identifying swapping issues.
→ /proc/meminfo
→ Provides detailed memory statistics directly from the kernel.

5. Monitoring Processes

→ ps
→ Displays running processes.
→ Example:
→ ps aux

→ kill / pkill

→ Stops or signals processes.
→ Helps manage stuck or misbehaving tasks.
→ nice / renice

→ Adjusts process priority.
→ Controls CPU allocation for processes.

6. Monitoring Disk Usage

→ df

→ Shows disk space usage for file systems.
→ Identifies full disks quickly.
→ du

→ Displays directory and file sizes.
→ Useful for locating large files.

→ iostat
→ Reports disk I/O statistics.
→ Detects slow or overloaded disks.

7. Monitoring Network Activity

→ ping

→ Tests network connectivity.

→ netstat / ss

→ Shows open ports and active connections.
→ Helps debug network services.

→ ifconfig / ip
→ Displays and manages network interfaces.
→ nload / iftop

→ Shows real-time bandwidth usage.

8. Log Monitoring
→ journalctl

→ Views logs from systemd services.
→ Useful for troubleshooting boot or service issues.

→ /var/log/
→ Stores system logs such as:
 → syslog
 → auth.log
 → kern.log

→ Helps diagnose errors and crashes.

9. Performance Monitoring Tools

→ sar

→ Collects and reports system activity over time.
→ Useful for historical analysis.
→ atop

→ Advanced monitoring for CPU, memory, disk, and network.
→ Captures performance snapshots.

→ Prometheus + Grafana
→ Enterprise-grade monitoring and visualization.
→ Used for production systems and dashboards.

10. Monitoring Workflow

→ Check system load with uptime or top
→ Inspect memory with free -h
→ Check disk space with df -h
→ Review logs using journalctl
→ Identify heavy processes using htop
→ Optimize or kill problematic processes
11. Tip

→ Linux provides powerful built-in tools for real-time and historical monitoring.
→ Regular monitoring improves reliability and performance.
→ Combining CLI tools and dashboards gives full system visibility.
→ Monitoring is a core skill for backend, DevOps, and system engineers.

📘 Linux Mastery Ebook

→ Master Linux internals, process management, IPC, scheduling, monitoring, and system architecture step-by-step.

🔗Grab the Linux Mastery Ebook
https://t.co/mCaIRlvD0A

[Miguel Ángel Durán @midudev]

Espectacular colección de componentes animados.
+100 disponibles. De código abierto y sin coste:
��� https://t.co/nIXZDXM9fX

[Namasté Paz. @namaste_paz]

‘Rocky’ es una de las películas más poderosas que existen.

Pero apuesto que el 90% de ustedes se perdió las lecciones que realmente importan.

He recopilado 10 de ellas que te harán cambiar tu forma de pensar sobre la vida.

Presta atención:🧵

[Ben Pierron @Ben_escrito]

Me sorprende que la gente no use la IA para buscar trabajo.

Usa estos 10 sitios web para conseguir el trabajo de tus sueños en poco tiempo:

[Antonio Rodríguez @Antonio_RodriIA]

6. En cuanto a la nutrición, elimina lo innecesario

Si tienes sobrepeso, reduce entre un 90 y 100 % el consumo de comida chatarra, alimentos procesados y azúcar (la fruta está bien).

No los necesitas y están frenando tu pérdida de grasa.

[Miguel Ángel | GptZone @MiguelMaestroIA]

Un solo salario nunca te dará libertad financiera.

Aquí tienes 20 sitios web que te pagan a diario desde casa en 2025 🔖

[Muqsit 𝕏 @mqst_]

📱 A Comprehensive Guide on Modern iOS Pentesting

Guide: https://t.co/oOZ3u4p6Vg

#infosec

[Josep Ferrer @iamjosepferrer]

Simple Logistic Regression exemplified for dummies👇🏻

(Don't forget to bookmark for later! 😉)