I'm a COMPA - Racoon

Fanático de las ciencias en general, apasionado por la seguridad informática, fan del anime y adorador de la pizza con extra de todo!

[Shalini Goyal @goyalshaliniuk]

Microservices architecture is all about scalability, resilience, and efficiency, but without the right design patterns, things can get messy fast!

Here are 12 essential microservices patterns, I think every developer can learn and benefit from:

1. API Gateway Pattern – A single entry point that routes requests to the right microservice.
2. Saga Pattern – Breaks distributed transactions into smaller steps with compensating actions.
3. Event Sourcing Pattern – Stores all changes as a sequence of events instead of just the latest state.
4. CQRS – Separates read and write operations for better scalability and performance.
5. Strangler Fig Pattern – Gradually replaces monolithic applications with microservices.
6. Service Discovery Pattern – Automatically finds and connects microservices without hardcoded addresses.
7. Circuit Breaker Pattern – Stops a failing service from overloading the system by blocking further calls.

More in graphics below. What would you add to this list?

Consider reposting if you found this helpful!

[Ado @ado1024imokenp]

I have been named the artist with the highest concert attendance figures overseas. Thank you all very much.

[Morioh @moriohdotcom]

Bash Scripting Basics

[𝐇𝐚𝐦𝐳𝐚 | Network Engineer (Aspiring) @Hamzaonchain]

VLAN CONFIGURATION EXAMPLE

[JR | Data Engineer @Mbadiwejesse_]

Types of Databases

[Ayaan 🐧 @twtayaan]

Your daily kubectl workflow in one cheat sheet. 👇

[Tech Fusionist @techyoutbe]

Spent this weekend documenting 10 real-world AWS compute projects every Cloud/DevOpsengineer should understand.

From Serverless APIs and ECS/EKS to event-driven systems, AWS Batch, App Runner, andedge delivery.

Would you like a copy when it's ready?

Drop a 👍 and share it to show your support.

[Jean Fischer | 🧭⚓【 MGVT 】 @JeanFischerVT]

Es literalmente imposible

[I'm a COMPA - Racoon @SrFusion]

@JeanFischerVT Panamá, Costa Rica, Colombia, Argentina :)

[Dhanian 🗯️ @e_opore]

Docker container security layers

[Brij Pandey @LearnWithBrij]

Most people think AI runs on GPUs.

That's like saying the internet runs on browsers.

Modern AI is powered by an entire ecosystem of processors:

🧠 CPU → Coordinates everything
⚡ GPU → Trains massive models
🔷 TPU → Accelerates tensor operations
📱 NPU → Brings AI to phones & laptops
🚀 LPU → Delivers ultra-fast LLM responses
🌐 DPU → Handles networking, security & data movement

The interesting part?

Every AI breakthrough depends on ALL of them working together.

A trillion-parameter model is useless if:
• Data can't reach it fast enough
• Inference is too expensive
• Edge devices can't run it
• Infrastructure can't scale

The next AI race won't be won by the best model.

It'll be won by whoever builds the best compute stack.

Models get the headlines.

Chips run the world.

Which processor category do you think will see the biggest growth over the next 5 years? 👇

[Adosite 💙💜 @adoshiite]

Feliz Cumpleaños Orihara 🎂

[Brij Pandey @LearnWithBrij]

CYBER SECURITY — MASTER TREE 🌲

Cyber Security
│
├── 01. Networking Basics
│ ├── TCP/IP
│ ├── DNS
│ ├── HTTP / HTTPS
│ ├── Firewalls
│ ├── VPNs
│ └── Proxies
│
├── 02. Linux & Systems
│ ├── Linux Commands
│ ├── File Permissions
│ ├── Processes
│ ├── SSH
│ ├── System Logs
│ └── User Management
│
├── 03. Web Security
│ ├── SQL Injection
│ ├── XSS
│ ├── CSRF
│ ├── SSRF
│ ├── Authentication
│ └── Session Security
│
├── 04. Ethical Hacking
│ ├── Reconnaissance
│ ├── Scanning
│ ├── Enumeration
│ ├── Exploitation
│ ├── Privilege Escalation
│ └── Post Exploitation
│
├── 05. Security Tools
│ ├── Nmap
│ ├── Wireshark
│ ├── Burp Suite
│ ├── Metasploit
│ ├── Nessus
│ └── Kali Linux
│
├── 06. Cloud Security
│ ├── AWS Security
│ ├── IAM
│ ├── Secrets Management
│ ├── Cloud Monitoring
│ ├── Zero Trust
│ └── Kubernetes Security
│
├── 07. Detection & Monitoring
│ ├── SIEM
│ ├── SOC
│ ├── Threat Intelligence
│ ├── Log Analysis
│ ├── Incident Detection
│ └── Malware Analysis
│
├── 08. Cryptography
│ ├── Encryption
│ ├── Hashing
│ ├── SSL/TLS
│ ├── Public Key Infrastructure
│ ├── Digital Signatures
│ └── Certificates
│
├── 09. Security Operations
│ ├── Incident Response
│ ├── Disaster Recovery
│ ├── Risk Assessment
│ ├── Compliance
│ ├── Vulnerability Management
│ └── Security Audits
│
└── 10. Future of Security
├── AI Security
├── Quantum Cryptography
├── Autonomous Defense
├── AI-powered Threat Hunting
└── Self-Healing Infrastructure

Most people use security after something breaks.

The best engineers build systems that are secure by default.

[𝐇𝐚𝐦𝐳𝐚 | Network Engineer (Aspiring) @Hamzaonchain]

DNS RECORD TYPES

[Dhanian 🗯️ @e_opore]

Redundancy in System Design

➤ What is Redundancy

→ Definition: The practice of duplicating critical system components to ensure the system continues working even if one component fails

→ Goal: Improve reliability → Increase availability → Prevent single points of failure

→ Redundancy can exist in:
→ Servers → Databases → Storage → Networks → Power systems

➤ Why Redundancy Matters

→ Minimizes downtime during failures
→ Improves fault tolerance and reliability
→ Ensures continuous service availability
→ Critical for large-scale and mission-critical systems

→ Examples:
→ Banking systems → E-commerce platforms → Cloud infrastructure → Streaming services

➤ Types of Redundancy

→ Hardware Redundancy

→ Duplicate physical components → Extra servers → Backup disks → Power supplies

→ Network Redundancy

→ Multiple network paths and routers
→ Prevents outages caused by network failures

→ Database Redundancy

→ Replication of databases across nodes or regions
→ Ensures data availability during failures

→ Geographic Redundancy

→ Deploy systems across multiple data centers or regions
→ Protects against regional outages and disasters

→ Service Redundancy

→ Multiple application instances running simultaneously
→ Traffic routed through load balancers

➤ Redundancy Architectures

→ Active-Active Architecture

→ Multiple nodes handle traffic simultaneously
→ If one node fails, others continue serving requests
→ Provides high availability and load distribution

→ Active-Passive Architecture

→ Primary node handles requests
→ Secondary backup node activates during failure
→ Simpler but may involve failover delay

➤ Techniques for Implementing Redundancy

→ Replication → Maintain copies of services or data
→ Load Balancing → Distribute requests across redundant servers
→ Failover Mechanisms → Automatic switch to backup systems
→ RAID Storage → Duplicate or distribute data across disks
→ Multi-Region Deployment → Deploy applications in different regions
→ Backup Systems → Store recoverable copies of critical data

➤ Challenges of Redundancy

→ Increased infrastructure and operational cost
→ More complex system management
→ Data synchronization and consistency challenges
→ Risk of replication lag in distributed systems
→ Requires advanced monitoring and automation

➤ Redundancy vs Fault Tolerance

→ Redundancy → Duplicate components to reduce failure impact
→ Fault Tolerance → Ability of the system to continue operating during failures

→ Insight: Redundancy is one of the key techniques used to achieve fault tolerance

➤ In System Design Interviews

→ Identify single points of failure
→ Design redundant components for critical services
→ Discuss replication and failover strategies
→ Explain trade-offs → Cost vs Availability
→ Consider scalability alongside redundancy

➤ System Design Handbook

→ A complete guide to mastering system design concepts and distributed architectures
→ Covers redundancy, scalability, fault tolerance, caching, databases, and load balancing
→ Designed for developers preparing for interviews and building reliable production systems

📘 Get the System Design Handbook here:
https://t.co/WIMretQFPE

[Dhanian 🗯️ @e_opore]

10 System Design concepts every developer should master:

1. Scalability — design systems that handle increasing traffic and users

2. Load Balancing — distribute traffic across multiple servers efficiently

3. Caching — improve performance by storing frequently accessed data

4. Databases — understand SQL, NoSQL, replication, and sharding

5. Microservices — break applications into independent services

6. Message Queues — enable asynchronous communication between services

7. API Gateway — manage routing, authentication, and rate limiting

8. Fault Tolerance — build systems that continue working during failures

9. Distributed Systems — manage communication across multiple machines

10. Monitoring & Logging — track system health, errors, and performance

Grab the System Design Ebook: https://t.co/WIMretQFPE

[I'm a COMPA - Racoon @SrFusion]

@soicamipazz Feliz cumpleaños

[フェルティア@お仕事募集中 @felutiahime]

🩷🔃

[Omakizaru 🍊【VTUBER】🇲🇽 @0makizaru]

¡HOLA COMPADRES! 🇪🇸 🇲🇽 🇦🇷 🇨🇴 🇵🇪 🇨🇱 🇻🇪

Quiero hacer más collabs y me encantaría que se unieran Vtubers de habla hispana 💕

⭐️ Juegos disponibles para jugar juntos:
• R.E.P.O.
• Phasmophobia
• Roblox
• Project Zomboid
• Don’t Starve Together
• Overwatch
• Peak.
• Super Battle Golf

⭐️¿Te animas a participar?
Dime en los comentarios qué juego te gustaría jugar o escríbeme por DM.

¡Vamos a conocernos y pasar un buen rato!

#VTuber #VtubersES #CollabVtuber #VtuberCollab #VtubersHispanos