renishb10

Full Stack Developer | Architect | (Node.Js, Golang, C#, MongoDB, React.Js, Python) | Mountain Rider |
Wildlife Photographer (

[Vatsal Sanghvi @vatsal_sanghvi]

smart people quit too early

because they can always see
another path
another opportunity
another idea

their intelligence becomes an escape hatch

sometimes the highest ROI skill is simply staying with the thing longer than everyone else

[Dhanian 🗯️ @e_opore]

50 DevOps Project Ideas to Master Modern Infrastructure & Automation

•CI/CD Pipeline for Node.js App → GitHub Actions → Docker → Kubernetes

•CI/CD Pipeline for Python App → GitLab CI → Docker → AWS ECS

•Infrastructure as Code Setup → Terraform → AWS VPC → EC2

•Kubernetes Cluster Deployment → kubeadm → Helm → Nginx Ingress

•Blue-Green Deployment Strategy → Jenkins → Docker → Kubernetes

•Canary Deployment Pipeline → Argo Rollouts → Kubernetes

•Monitoring Stack Setup → Prometheus → Grafana → Alertmanager

•Log Aggregation System → ELK Stack → Filebeat

•GitOps Workflow Implementation → ArgoCD → Kubernetes → GitHub

•Auto Scaling Web App → AWS Auto Scaling → ALB → CloudWatch

•Dockerized Microservices Architecture → Docker Compose → Nginx

•Secure Secrets Management → HashiCorp Vault → Kubernetes

•Automated Server Provisioning → Ansible → Ubuntu → AWS EC2

•Centralized Logging for Microservices → Fluentd → Elasticsearch

•Serverless Deployment Pipeline → AWS Lambda → API Gateway

•Multi-Stage Docker Optimization → Docker → BuildKit

•Kubernetes RBAC Security Setup → Kubernetes → RoleBindings

•CI Security Scanning → Trivy → Snyk → GitHub Actions

•Infrastructure Monitoring Dashboard → Node Exporter → Grafana

•Distributed Tracing Setup → Jaeger → OpenTelemetry

•Redis Cluster Deployment → Docker → Kubernetes

•RabbitMQ Cluster with High Availability → Docker → Helm

•Automated Database Backup System → CronJobs → S3 → RDS

•Disaster Recovery Architecture → Multi-Region AWS → Route53

•Kubernetes Horizontal Pod Autoscaler → Metrics Server

•Nginx Reverse Proxy Setup → Docker → SSL with Certbot

•Centralized Configuration Management → Consul → Docker

•Build Artifact Repository → Nexus → Docker Registry

•CI/CD for React Frontend → GitHub Actions → S3 → CloudFront

•Infrastructure Cost Monitoring → AWS Cost Explorer API → Lambda

•Container Security Hardening → Docker Bench → CIS Benchmarks

•Kubernetes Network Policies Implementation → Calico

•Multi-Environment Deployment Setup → Dev → Staging → Production

•Event-Driven Architecture Setup → Kafka → Zookeeper

•Helm Chart Creation for Microservices → Helm → Kubernetes

•Kubernetes StatefulSet Deployment → PostgreSQL → Persistent Volumes

•Immutable Infrastructure Deployment → Terraform → AMIs

•Auto-Healing Infrastructure Setup → Kubernetes Liveness Probes

•Load Testing Automation → k6 → CI Pipeline

•Infrastructure Documentation Automation → MkDocs → CI/CD

•Zero-Downtime Database Migration → Flyway → PostgreSQL

•Feature Flag Deployment System → LaunchDarkly → CI/CD

•Secure API Gateway Setup → Kong → Docker

•Chaos Engineering Experiment → Chaos Mesh → Kubernetes

•Multi-Cloud Deployment Architecture → AWS → Azure → Terraform

•Container Orchestration on AWS → EKS → Helm

•CI/CD Metrics Dashboard → Prometheus → Grafana

•Automated SSL Renewal System → Certbot → Cron → Nginx

•Backup & Restore Automation for Kubernetes → Velero

•Observability Stack for Production → OpenTelemetry → Prometheus → Grafana

Master DevOps projects in depth with this complete ebook:
https://t.co/AARZZLpMPB

[Javarevisited @javarevisited]

https://t.co/Z5Px7Ffgur

[Dhanian 🗯️ @e_opore]

12 Core Concepts to Master AWS:

1 → GLOBAL INFRASTRUCTURE
Understand Regions, Availability Zones, Edge Locations, and how AWS designs for high availability and fault tolerance.

2 → IDENTITY & ACCESS MANAGEMENT (IAM)
Master users, roles, groups, policies, least-privilege principles, and secure access design.

3 → VIRTUAL PRIVATE CLOUD (VPC)
Learn subnets, route tables, internet gateways, NAT gateways, security groups, and network ACLs.

4 → ELASTIC COMPUTE CLOUD (EC2)
Understand instance types, AMIs, auto scaling, placement groups, and cost optimization strategies.

5 → STORAGE SERVICES
Master S3 (object storage), EBS (block storage), EFS (file storage), lifecycle policies, and storage classes.

6 → DATABASE SERVICES
Learn RDS, DynamoDB, Aurora, database scaling, replication, backups, and performance tuning.

7 → LOAD BALANCING & AUTO SCALING
Understand Application Load Balancer (ALB), Network Load Balancer (NLB), target groups, and horizontal scaling patterns.

8 → SERVERLESS ARCHITECTURE
Master AWS Lambda, API Gateway, event-driven design, and cost-efficient serverless deployments.

9 → CONTAINERS & ORCHESTRATION
Learn ECS, EKS, Fargate, container networking, and deployment strategies for microservices.

10 → MONITORING & LOGGING
Understand CloudWatch metrics, logs, alarms, X-Ray tracing, and observability best practices.

11 → SECURITY & COMPLIANCE
Master encryption (KMS), Secrets Manager, WAF, Shield, security best practices, and shared responsibility model.

12 → INFRASTRUCTURE AS CODE (IaC)
Learn CloudFormation, CDK, automation pipelines, and CI/CD integrations for scalable deployments.

If you want a complete, structured breakdown with practical explanations and real-world examples, get the AWS Handbook here:
https://t.co/G3pdEOq4DK

[Akhilesh Mishra @livingdevops]

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

[Abhishek Singh @0xlelouch_]

As a Backend Engineer in 2026 aiming for Staff, please learn:

1. One language deeply (Go/Rust/Java)
Not “I can write APIs”, but runtime model, memory, concurrency, profiling, GC behavior (if any), and how to read stack traces like a native.

2. Data modeling and storage fundamentals
Relational modeling, constraints, isolation levels, indexes, query plans, locks, deadlocks, migrations, backup/restore, partitioning. Most “scaling” problems are schema + query shape problems.

3. Distributed systems basics that actually show up in prod
Consistency vs availability, timeouts, retries, idempotency, backpressure, message ordering, leader election, clock skew, eventual consistency, and what happens during partial failures.

4. API design and contracts
Versioning, pagination, filtering, error models, idempotency keys, rate limits, backwards compatibility, and how to avoid breaking mobile clients for months.

5. Performance and capacity engineering
Latency budgets (p50/p95/p99), tail latency causes, load testing, queueing theory intuition, connection pools, CPU vs IO bound, and capacity planning with real numbers.

6. Reliability engineering
SLOs/SLIs, incident response, postmortems, alerting that does not spam, error budgets, graceful degradation, feature flags, circuit breakers, bulkheads.

7. Observability like a pro
Structured logs, metrics, tracing, correlation ids, RED/USE metrics, sampling strategies, and how to debug “it is slow sometimes” without just guessing.

8. Security fundamentals
AuthN/AuthZ, least privilege, secrets management, token expiry, OWASP basics, SSRF, injection, secure defaults, audit logs, threat modeling for your own services.

9. Messaging and async systems
Kafka/Rabbit/SQS semantics, at-least-once vs exactly-once (and why “exactly once” is mostly a marketing term), consumer groups, retries, DLQs, replay, dedupe.

10. Caching with correctness
Cache invalidation strategies, TTLs, stampede protection, read-through/write-through, negative caching, and when caching makes bugs harder than latency.

11. Infrastructure literacy
Linux basics, networking (DNS, TCP, TLS), containers, k8s concepts, autoscaling, deployment strategies (blue/green, canary), and what your cloud bill is really paying for.

12. System design, but with tradeoffs
Designing is picking pain. Learn to write down constraints, failure modes, data growth, and operational cost. Staff is judged on tradeoffs, not diagrams.

13. Codebase leadership
Design docs, RFCs, review quality, mentorship, aligning teams, reducing complexity, owning a subsystem end-to-end, making boring systems that do not wake people at 2am.

14. Pick ONE domain to go deep
Payments, search, streaming, identity, infra, data platform, etc. Staff engineers are “the person for a hard area”, not generic API writers.

Stop hopping stacks every month. Pick a lane, build proof of reliability, and become the person people call when prod is on fire. That is Staff.

[aditya @adxtyahq]

Someone curated 925 failed VC-backed startups, broke down why they failed, and how to make it work with today’s tech -

https://t.co/NFUhrhe7P2

Cool fr🙌

[Md Ismail Šojal 🕷️ @0x0SojalSec]

Chinese scientists have developed,

The best shortest-path algorithm in 41 years!

A team from Tsinghua University has broken Dijkstra's "sorting barrier" - the first improvement since 1984.

Just use for a world-map 🤯

Paper - https://t.co/0AhR5O7vl4
https://t.co/a9KMVRuYGx

[• nanou • @NanouuSymeon]

Top Secret website gems for developers:

💎 https://t.co/1VrYeWS4wJ
🧪 https://t.co/qMlibUXkS7
🧠 https://t.co/ORakTmq4sT
🎯 https://t.co/tbqxrVMgxh
🛠️ https://t.co/5OxzBUrD1F
🚀 https://t.co/4w7d1K7xMA
🔍 https://t.co/iZYuWIRGTk
📦 https://t.co/weWh876dQJ
��� https://t.co/IlfnQFdBKK
🧰 https://t.co/VIuD9lCb1C

[Visual Studio Code @code]

Install MCP servers in your workspace 🚀

[Neo Kim @systemdesignone]

If you want to become good at system design (in 3 weeks), learn these 15 case studies:

[Mike Futia @mikefutia]

I just packaged up 10 of my best AI automation workflows into one database 🤯

(honestly I should probably be charging for this)

Most DTC brands & agencies waste months building AI automations from scratch.

Wrong prompts. Wrong tools. Wrong setup.

I've created 10 plug-and-play AI automations that handle the heavy lifting for you.

All in one convenient database for easy access.

Here's what's inside:

YouTube Research AI Agent
→ Scrapes trending videos by keyword
→ AI extracts hooks, angles, themes
→ Auto-organized in Airtable

Instagram Reels AI Agent
→ Scrapes trending Reels in your niche
→ Gemini analyzes creative insights
→ Comment analysis included

Sora 2 Cameos + n8n
→ Consistent AI characters across videos
→ Automated UGC campaign generation
→ Airtable tracking dashboard

Nano Banana + Veo 3 + n8n
→ Bulk UGC video generation
→ One product photo → 50+ videos
→ Auto-stored and organized

Claude + Facebook Ads MCP
→ AI ads analyst
→ Generates full performance reports
→ Natural language queries

Facebook Ads Spy + n8n
→ Daily competitor ad monitoring
→ AI analysis of hooks, CTAs, offers
→ Slack digest delivery

Sora 2 Consistent Characters
→ Multi-video campaigns, same creator
→ Brand consistency at scale
→ Step-by-step Loom walkthrough

TikTok Research AI Agent
→ Trending content analysis
→ Hook and angle extraction
→ Performance metrics tracking

HeyGen Long-Form UGC
→ 1-minute+ AI creator videos
→ Talking-head testimonials
→ Product demos at scale

Nano Banana Static Ads
→ 1,000+ ad variations automated
→ Bulk image generation
→ Perfect for testing creative

Each workflow includes the exact n8n templates + Airtable bases to get started FAST.

This is the exact stack DTC brands & agencies are using to scale creative production 10x.

Want the database?

> Comment "DATABASE"

> Like this post

And I'll send the complete collection over (must be following so I can DM)

[Krishna Agrawal @Krishnasagrawal]

💥 Top 50 LLM Interview Questions & Answers

Get ready for your next AI / ML / LLM interview with this power-packed Q&A guide covering:
✅ Prompt Engineering
✅ Fine-tuning & RAG
✅ Transformer Architecture
✅ Tokenization & Attention
✅ Real-world LLM Scenarios

Perfect for anyone preparing for AI Engineer, ML Researcher, or LLM Developer roles. 🚀

1️⃣ Like & Repost
2️⃣ Comment “LLM”
3️⃣ Follow (so I can DM you the guide)

#LLM #ArtificialIntelligence #MachineLearning #InterviewPrep #AIGuide #Giveaway #PromptEngineering #AICommunity

[Namma Kovai @NammaCoimbatore]

Coimbatore’s key challenges despite being the 10th richest metro region of India:

1🚇 No metro rail system unlike other top metros
2🚗 Severe traffic congestion and weak public transport
3 🏘️ Unplanned urban expansion
4✈️ Limited international air connectivity.
5⚙️ Underutilized industrial and investment potential.
6🏗️ Delays in infrastructure and civic projects.
7🏫 No top central institutions like IIT, IIM, AIIMS, or IISER
8 🌳 Shrinking green cover and waste management problems

[renishb10 @renishb10]

@NammaCoimbatore @CbeCorp @Kovai2411 @jaak_ash @CbeCorp @CbeCollector

[Namma Kovai @NammaCoimbatore]

Still some have the audacity to paste posters on these pillars! Who’s giving permission for such things? Coimbatore Corporation must ban all posters immediately and punish those responsible. Time to send a strong message our city deserves better.

#BanPostersinKovai

[trish @TrisH0x2A]

Programming language you learned once but never touched again?

[Elon Musk @elonmusk]

https://t.co/op5s4ZikGJ is fully open source, so anyone can use it for anything at no cost