Not another todo app. EventForm: every form submission fans out to webhooks via a transactional outbox → Debezium CDC → Kafka → an idempotent consumer. At-least-once idempotency. RLS tenant isolation. HMAC signing. Defended line by line 👇 #DistributedSystems #EventDriven

🚨 #Fresher Only few hours left to #Apply 🔥 🔥 #Zoom is hiring #Freshers for #Software Engineer 📍 Location: #India (Remote) 💼 Experience: 0–3 Years 🎯 What They're Looking For: ✅ Strong Data Structures & Problem-Solving Skills ✅ Frontend Experience with React, Angular, or Vue.js ✅ Backend Development using Node.js, Python, Java, or Similar Technologies ✅ Database Knowledge (PostgreSQL, MySQL, MongoDB, Redis) ✅ Git, Testing & CI/CD Fundamentals ✅ Understanding of Cloud Platforms & Docker ✅ Passion for AI, Automation & Modern Engineering Practices ✅ Strong Learning Mindset & Adaptability 💬 Comment *ZOOM* if you're applying! Tag a friend interested in React, Node.js, AI, Cloud, or Full-Stack Development 👇 #Zoom #SoftwareEngineer #FullStackDeveloper #ReactJS #NodeJS #Python #Java #CloudComputing #Docker #Kubernetes #AI #DistributedSystems #FreshersJobs #Hiring #TechJobs #RemoteJobs 🚀

66- Continuing with Celery, focusing on how brokers and workers enable concurrency by distributing tasks and processing them independently across multiple workers. #Python #Celery #BackendDevelopment #DistributedSystems #Concurrency #100DaysOfCode #BuildInPublic

5/ Every senior Kubernetes engineer has a story that starts with: "Nothing changed..." and ends with: "...except one tiny config." Give it a watch. Happy Sunday 🙂 youtube.com/shorts/UmsSWerDa… #Kubernetes #SoftwareEngineering #BackendEngineering #Microservices #DistributedSystems

Your p50 dashboard is lying about your agents. A 20-step agent hits tail latency ~18% of the time. Not bad code. Just math: ~1% odds per call, compounded over 20 steps. The median never sees it. Users do. #SoftwareArchitecture #DistributedSystems #SRE #Reliability

Just found a great resource for learning distributed systems. Link - builddistributedsystem.com/ #DistributedSystems #SystemDesign #SoftwareEngineering #Backend #Architecture

65- Continuing with Celery, focusing on message brokers and understanding how tasks are queued, distributed, and delivered to workers for execution. #Python #Celery #BackendDevelopment #DistributedSystems #AsyncProgramming #100DaysOfCode #BuildInPublic

Great work on private accountability in consensus! Transforming any protocol into an accountable version is a smart step forward. @EPFL Published at #IPDPS @RedbellyNetwork @VincentGramoli #Blockchain #DistributedSystems #Consensus #Accountability #Research

🎓 PhD Positions in Computer Science (Formal Methods) 🇩🇰 | University of Southern Denmark 📌 Position: PhD in Computer Science (Formal Methods) 🏫 University: University of Southern Denmark (SDU) 📍 Location: Odense / Vejle, Denmark 🇩🇰 🏢 Department: Mathematics & Computer Science 👨‍🏫 Supervisor: Fabrizio Montesi 📅 Deadline: August 16, 2026 ⏳ Duration: 3 years (fully funded) 🔬 About the Project The Centre for Formal Methods and Future Computing (FORM) invites applications for PhD positions focused on advancing the formalisation of computing. The research aims to combine human intelligence and AI to build reliable digital systems grounded in rigorous mathematical foundations. Key research areas include: • Computational complexity • Distributed systems & cloud computing • Logic and theorem proving • Programming languages & type systems • Security, cryptography & privacy • Human factors in computing A major initiative includes contributing to the Computer Science Library (CSLib) using Lean, a global effort to formalise computer science knowledge. 👤 Ideal Candidate • Master’s degree in Computer Science or related field • Strong interest in formal methods (theory or applications) • Solid analytical and programming skills • Ability to work in an international research environment • Fluency in English 🌟 Why Apply? • Join a leading research centre in formal methods and AI • Work on foundational challenges in computing and software reliability • Collaborate within a strong interdisciplinary research cluster (AI, cybersecurity, programming languages) • Access to international collaborations and global initiatives • Supportive and inclusive academic environment 🌍 Location Highlight – Odense Odense, Denmark’s third-largest city, offers a high quality of life with a mix of historic charm and modern living. Located on the island of Funen, it provides easy access to Copenhagen and Aarhus, along with beautiful coastal areas. 🔗 More Info: phdscanner.com/opportunities… #PhD #ComputerScience #FormalMethods #ProgrammingLanguages #DistributedSystems #Cybersecurity #Denmark #ResearchOpportunity #AcademicJobs #PhDPositions

Day 23/30 Explored Block, Object, and File Storage in System Design. Understanding when to use each storage type is crucial for scalability and performance. #SummerSkillUp #SystemDesign #StorageSystems #DistributedSystems #Scalability #CloudComputing #30DaysChallenge

Understanding Spark Architecture: The Way I Wish Someone Had Explained It to Me. #ApacheSpark #DataEngineering #BigData #PySpark #DistributedSystems #DataArchitecture linkedin.com/posts/puneet-kh…

64- Continuing with Celery, learning how background workers interact with a message broker and a result backend to process and track asynchronous tasks. #Python #Celery #BackendDevelopment #DistributedSystems #AsyncProgramming #100DaysOfCode #BuildInPublic

**AI Architecture in 2026: Most Systems Don't Fail Because of the Model. They Fail Because of the Pattern.** The AI industry is obsessed with components. Vector databases. Agent frameworks. Model providers. Observability platforms. But production failures rarely come from missing tools. They come from choosing the wrong architecture pattern. The most expensive mistake I see today? Teams building agent systems to solve problems that a single LLM call, a cache, or a retrieval layer could solve faster, cheaper, and more reliably. **Deep Architect Lens** Every AI architecture is a trade-off between latency, cost, reliability, accuracy, governance, and operational complexity. The architecture sequence is surprisingly simple: Serving → Retrieval → Reliability → Cost Control → Security → Agents Yet many teams start from the opposite end. They build orchestration before observability. Agents before retrieval. Complexity before evidence. In production, every new component introduces new failure modes: More state. More coordination. More debugging. More operational overhead. The winning architecture is rarely the most sophisticated. It's the one that delivers predictable outcomes under load. **CEO / CTO / Boardroom Lens** AI economics are changing fast. A system that costs $0.10 per request at pilot scale can become a budget crisis at enterprise scale. Reliability incidents destroy trust faster than model-quality improvements create it. And governance gaps become procurement blockers long before they become security incidents. Architecture decisions are now financial decisions. **Market Shift** From: Model-Centric Thinking To: System-Centric Thinking From: Agent-First Architectures To: Pattern-Driven Architectures From: Prompt Engineering To: Production Engineering **What Actually Works in Production** Hybrid RAG with reranking. Semantic caching. Model routing. Async execution for long-running jobs. Evaluation-driven releases. Observable AI pipelines. Zero-trust controls designed in from day one. **Where Most Teams Fail** Agent-first design. No evaluation gates. No cost attribution. No observability. Frontier model for every request. Caching without invalidation strategy. Security added after launch. Demo-driven architecture masquerading as platform strategy. **Adopting Strategy** Choose the simplest pattern that satisfies the requirement. Add retrieval before agents. Add observability before scale. Add governance before enterprise rollout. Earn complexity. Never assume it. **Final Insight** The best AI architects don't start by asking, "What model should we use?" They start by asking, "What is the simplest architecture that survives production?" #AIArchitecture #SystemDesign #EnterpriseAI #SolutionArchitecture #CloudArchitecture #AgenticAI #RAG #PlatformEngineering #AIEngineering #DistributedSystems #AIOps #ChiefArchitect appscale.blog/en/blog/ai-arc…

🚀 NEW VIDEO: Apache Kafka Explained for Beginners | Part 1 | Section 2 Full Blog Link: pinlnk.me/FIz2 YT Video: youtu.be/0UnYe6AWYh4 #ApacheKafka #Kafka #BackendDevelopment #Microservices #DistributedSystems #NodeJS #Docker #TechLearning

🤔 Two microservices each hold a lock the other needs. Service A waits for B. Service B waits for A. Neither crashes. Neither makes progress. How would you detect and prevent this distributed deadlock in production? ‣ Wait-for Graph? ‣ Global lock ordering? ‣ Timeouts? ‣ Saga pattern? ‣ Something else? Curious how you'd solve it. 👇 #SystemDesign #DistributedSystems #Backend #Microservices #SoftwareEngineering

Because companies traded code complexity for #distributedsystems complexity. Unless you have thousands of devs requiring team deployment autonomy, #microservices just introduce network latency, eventual consistency bugs, and high cloud bills. The future is the #ModularMonolith.

Distributed systems 101: The CAP Theorem. 💻💡 Consistency (C) Availability (A) Partition Tolerance (P) Pick TWO. Plan your trade-offs wisely. 📊 #DistributedSystems #SystemDesign #CAPTheorem

Two requests try to update the same row at the exact same time. One waits. One wins. One might silently overwrite the other. Do you know how to prevent this in SQL? 🤔 #SQL #Database #Databases #OptimisticLocking #RowLocking #RaceCondition #DistributedSystems #PostgreSQL

#SoftwareQuality #AIEngineering #DistributedSystems #ShiftLeft #EngineeringExcellence #TrustedAI #FutureOfEngineering #TechLeadership #UmangaBuddhini

Aspens.ai An Aspen grove isn't a forest. It's one organism. Thousands of trunks. One root system. Distinct above ground. Synchronized below. That's the architecture: → Distributed nodes, unified control → Independent execution, shared coordination → Fleet-scale operation, single orchestration Aspens.ai = infrastructure that scales like nature's largest organism. Premium .ai domain. #AI #DistributedSystems #Infrastructure #Domains #Founders #Startups #orchestration #agenticai