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Safa

Safa

@MusyafaNM

Devsecops | Tech Enthusiast

Katılım Eylül 2024
236 Takip Edilen91 Takipçiler
Aiiiii
Aiiiii@bvtrass·
yang belom menang kemarin guys, mau dibuat untuk thr gak? 50rb 1 orang / 2 org bagusnya? Close jam 12:30
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Safa@MusyafaNM·
@martinfisip Halo Kak, mksih banyak udh ngadain ini, aku pejuang gap year yg belum lolos SNBT kmren & tahun ini. Semoga tahun ini menjadi kesempatan terakhir aku lewat jlur simak, Aku gk ingin nyerah dgn keadaan, tpi aku juga gk ingin membebani ortu, wish me luck, semoga kakany berkah slalu.
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ores
ores@martinfisip·
Halo temen-temen semuaa, aku alhamdulillah lagi ada sedikit rezeki. Jadi aku mau bantu satu orang buat daftar simak UI dengan 2 pilihan, khususnya buat temen-temen yang belum dapat kampus yaa. Cukup reply alasan kenapa aku harus pilih kalian, terima kasih!🤍
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Mashood tried Ops
Mashood tried Ops@fromcodetocloud·
To understand docker you just need to know these 8 concepts ✅ Bookmark you will need this :
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Safa@MusyafaNM·
@olinpsych Halo Kak! Aku pejuang gap year yg gagal di SNBT tahun kemarin & tahun ini. Semoga lewat jalur mandiri ini jd kesempatan terakhirku. Aku butuh bgt perpus Nakamatika ini sebagai bahan evaluasi, karena slama ini aku cuma blajr dri YT/X. Makasih banyak y Kak udah ngadain GA ini! 🙏✨
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Kirtesh
Kirtesh@AKirtesh·
Docker commands you use every single day 👇 docker ps docker ps -a docker images docker build -t name . docker run -p 8080:8080 name docker stop containerid docker rm containerid docker rmi imageid docker logs containerid docker exec -it container bash docker pull imagename docker push imagename docker system prune docker volume ls docker network ls Save this. 📌 Which command do you use most? 👇
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Python Developer
Python Developer@PythonDvz·
The most popular GenAl architecture, RAG, has evolved so much💯👇 All within 2 years and the difference? Night and day. Here's what actually changed: Basic RAG (what most people use to build): (Simplified) L↳ Chunk documents into pieces L↳ Store them in a vector database ↳ Retrieve similar chunks via embedding search L↳ Feed retrieved data to the LLM for a response Simple. But limited. The problem with basic RAG: 1. It misses connections between information 2. Can't reason across multiple data sources 3. Retrieves irrelevant context (garbage in = garbage out) 4. No iterative refinement when the first answer is wrong Agentic RAG (the upgrade): (Simplified) Instead of one-shot retrieval, you get: L, A retrieval agent that reasons iteratively L↳ Multiple enterprise tools (vector search, web search, SQL) The agent decides which tool to use when L↳ Refines its approach until it finds the right answer This is 2x better for complex queries. But the problem started once we saw the limitations of single-agent systems. With a multi-agent system, you have better control as well as the ability to chain multiple tools and reason on each agent's output. Now, for graph DB, we all know that enterprise documents are related to each other. Hence, just finding a similarity search was not enough for these documents. We needed a much more concrete structure in which document relationships are mapped so that they can be retrieved according to those relationships. That's when we started using Multi-agent graph RAG (the final evolution): (Simplified) Now you have specialized agents: L, Graph agent: Understands entity relationships L, SQL agent: Queries structured databases L↳ Web agent: Pulls real-time information L↳ Retrieval agent: Orchestrates everything Each agent is an expert. The retrieval agent coordinates them. But you cannot afford to build graph RAG when you are just starting. So, here's the correct sequence: - Start with basic RAG. Get it working. - Add agentic capabilities once you hit limitations.
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Pushpendra Tripathi
Pushpendra Tripathi@pushpendratips·
Python is difficult to learn, but not anymore! Introducing Complete Python Training Course, All formulas, Tips & Tricks , shortcuts Absolutely Free It helps you to save 80% time and money To get it, just: 👉 Like and Repost 👉Comment "Python" 👉Follow me @pushpendratips
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
Docker Learning Roadmap |-- Foundations of Containers | |-- What is Docker? | |-- Virtual Machines vs Containers | |-- Containerization Concepts | |-- Docker Architecture (Client, Daemon, Registry) | |-- Installing Docker on Different Platforms |-- Docker Basics | |-- Docker Images & Containers | |-- Pulling & Running Images | |-- Docker CLI Commands | |-- Managing Containers (start, stop, restart, remove) | |-- Working with Docker Hub |-- Creating Docker Images | |-- Understanding Dockerfiles | |-- Writing Efficient Dockerfiles | |-- Layer Caching & Optimization | |-- Multi-Stage Builds | |-- Building & Tagging Custom Images |-- Managing Data in Docker | |-- Volumes & Bind Mounts | |-- Persistent Storage Concepts | |-- Sharing Data Between Containers | |-- Backing Up & Restoring Volumes | |-- Managing Container Data Safely |-- Networking in Docker | |-- Docker Networking Basics | |-- Bridge, Host & Overlay Networks | |-- Container Communication | |-- Exposing Ports & Port Mapping | |-- DNS & Service Discovery |-- Docker Compose | |-- Multi-Container Applications | |-- Writing docker-compose.yml Files | |-- Managing Services & Dependencies | |-- Environment Variables in Compose | |-- Scaling Services with Docker Compose |-- Docker Security Best Practices | |-- Running Containers Securely | |-- Managing Secrets & Environment Variables | |-- Image Vulnerability Scanning | |-- Least Privilege Containers | |-- Securing Docker Daemon & APIs |-- Advanced Docker Concepts | |-- Container Orchestration Basics | |-- Introduction to Kubernetes | |-- Docker Swarm Fundamentals | |-- Resource Limits & Monitoring | |-- Logging & Debugging Containers |-- CI/CD with Docker | |-- Integrating Docker into Pipelines | |-- Automated Builds & Deployments | |-- Docker with GitHub Actions / GitLab CI | |-- Versioning & Image Registries | |-- Deployment Strategies with Containers |-- Docker in Cloud & Production | |-- Deploying Docker Apps to AWS / Azure / GCP | |-- Container Registries (ECR, Docker Hub, GCR) | |-- Load Balancing & Scaling | |-- Monitoring & Observability | |-- High Availability & Resilience |-- Real-World Docker Projects | |-- Containerize a Node.js Application | |-- Build a Full-Stack Dockerized App | |-- Deploy Microservices with Docker Compose | |-- Create CI/CD Pipelines with Docker | |-- Run Databases & APIs in Containers |-- Continuous Learning & Growth | |-- Read Official Docker Documentation | |-- Explore Open Source Docker Projects | |-- Learn Kubernetes & Orchestration | |-- Practice Container Debugging | |-- Stay Updated with Cloud-Native Trends Get the Docker Projects & Mastery Ebook codewithdhanian.gumroad.com/l/svjkv This ebook teaches you Docker step-by-step with practical projects, real deployment examples, and production-ready container workflows to help you master containerization and modern DevOps practices.
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
If I had to master Docker, I’d learn these concepts: 1. What is Docker 2. Containers vs Virtual Machines 3. Docker Architecture 4. Docker Engine 5. Docker CLI 6. Docker Desktop 7. Docker Images 8. Docker Containers 9. Docker Hub 10. Container Lifecycle 11. Pulling Images 12. Building Images 13. Dockerfile Basics 14. Dockerfile Instructions 15. Layers & Caching 16. Multi-Stage Builds 17. Base Images 18. Alpine Images 19. Image Optimization 20. Container Networking 21. Bridge Network 22. Host Network 23. Overlay Network 24. Port Mapping 25. Volumes 26. Bind Mounts 27. Persistent Storage 28. Environment Variables 29. Secrets Management 30. Docker Compose 31. Multi-Container Applications 32. Service Dependencies 33. Health Checks 34. Restart Policies 35. Logging Drivers 36. Monitoring Containers 37. Docker Logs 38. Resource Limits 39. CPU & Memory Allocation 40. Container Security 41. Linux Namespaces 42. Control Groups (cgroups) 43. Docker Registry 44. Private Registries 45. Image Tagging 46. Versioning Strategies 47. CI/CD with Docker 48. Docker in GitHub Actions 49. Docker in Jenkins 50. Docker in GitLab CI 51. Container Orchestration 52. Docker Swarm 53. Kubernetes Basics 54. Running Docker on Cloud 55. Docker on AWS 56. Docker on Azure 57. Docker on GCP 58. Reverse Proxy with Nginx 59. Load Balancing 60. Service Discovery 61. Scaling Containers 62. Stateful vs Stateless Containers 63. Database Containers 64. Redis Containers 65. PostgreSQL Containers 66. MySQL Containers 67. MongoDB Containers 68. Debugging Containers 69. Inspecting Containers 70. Exec into Containers 71. Networking Troubleshooting 72. Image Scanning 73. Vulnerability Management 74. DevSecOps with Docker 75. Rootless Containers 76. Distroless Images 77. Docker Best Practices 78. Layer Minimization 79. Build Optimization 80. Caching Strategies 81. Backup & Restore 82. Multi-Architecture Images 83. ARM vs x86 Containers 84. Docker APIs 85. Container Runtime 86. OCI Standards 87. Podman vs Docker 88. BuildKit 89. Docker Extensions 90. AI Workloads in Docker 91. Microservices with Docker 92. Event-Driven Systems 93. Observability 94. Prometheus & Grafana 95. ELK Stack with Docker 96. High Availability 97. Fault Tolerance 98. Production Deployment (...and more concepts) === 👋 PS - Want a complete Docker roadmap from beginner to advanced? Read right now: → Docker Ebook: codewithdhanian.gumroad.com/l/svjkv === 💾 Save this for later & RT to help others learn Docker. 👤 Follow @e_opore + turn on notifications.
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Robin Syihab
Robin Syihab@anvie·
Github Webhook Plugin released! Plugin ini membantu developer menghubungkan workflow Github x Evonic. Contoh use case: 1. auto-docs, ketika ada rilis terbaru adit akan meng-update dokumentasi. 2. auto-review, ketika ada PR baru, linus akan mereview dan memberikan rekomendasi.
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Miss Ririn_English
Miss Ririn_English@hermionyyye·
GUYS AKU PENGEN DEH BAGI2 FILE PDF GRATIS LAGEE!‼️ KALI INI AKU PUNYA INI⬇️ "ROADMAP BELAJAR BAHASA INGGRIS DARI NOL (FROM ZERO TO HERO)"! Jadi bisa banget buat yang pengen lancarin Speaking Skill dari Nol! Comment ajaaa yang mauu!😍😍
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Safa@MusyafaNM·
@Dutzozan Gunung Bromo kek nya
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D U T A
D U T A@Dutzozan·
mini giveaway guys (GA), tebak gua mau naik gunung apa? like + komen jawaban kalian (Contoh: MT Everest/Gunung Everest) 100k buat 5 orang, jawaban bener gua undi nanti,thanks u!
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nayii☆| FBS Unesa²⁶
nayii☆| FBS Unesa²⁶@cuppitieee·
guys mau tanya adakah latsol buat ujian tulis penmaba unj atau ga materi²nya gitu atau gambaran soal² nya????
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veyy
veyy@ishigamys·
eh aku dulu punya buku antonim sinonim deh guys, ada yg mau ga??? kalau mau aku cari2 nihhh di drive kuuu
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Schoolfess
Schoolfess@schfess·
lapak tag disiniii! buat yang mau baca boleh drop @ buat aku tag yaaa sch!
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Zyphra
Zyphra@ZyphraAI·
Today we're releasing ZAYA1-8B, a reasoning MoE trained on @AMD and optimized for intelligence density. With <1B active params, it outperforms open-weight models many times its size on math and reasoning, closing in on DeepSeek-V3.2 and GPT-5-High with test-time compute. 🧵
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edelfayie ve.
edelfayie ve.@EdelfayieV70573·
hi ppl ppl, adakah yg bisa aku tanya2 ttg simak ui?? hit my dm yaa..!
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Safa@MusyafaNM·
@sainsinaja Ayo miin segera production fitur to ny terutama untuk simak sama utul
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Safa@MusyafaNM·
@nakamatika Makasih banyak miin sebelumnya. rencananya kalo dapet aku mau langganan analitica buat persiapan UM hhe
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Nakamatika
Nakamatika@nakamatika·
❗GIVEAWAY ALERT❗ 2 orang pemenang total 40ribu rupiah. Caranya : RT tweet ini dan tweet di pinned tweet, reply mau buat apa hadiahnya. Udah gitu aja :) pemenang diumumkan besok malam yaa semoga beruntung! #Giveaway #zonauang#Zonajajan
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