#Microservice

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microservices architecture best practicesakka microservices architecturespring boot microservices architectureakka and microservicesmonolithic vs microservicesmicroservicesmicroservices architecturemonolith vs microservicesspringboot microservicesmicroservice architecture

Trend Reels

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#Microservice Reels - @volkan.js (onaylı hesap) tarafından paylaşılan video - Comment "MICRO" for the links. You Will Never Struggle With Microservices or System Design Again 📌 Watch these beginner-friendly, high-value videos
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@volkan.js
Comment "MICRO" for the links. You Will Never Struggle With Microservices or System Design Again 📌 Watch these beginner-friendly, high-value videos: 1️⃣ Mastering Chaos – A Netflix Guide to Microservices 2️⃣ Microservice Architecture & System Design with Python & Kubernetes – Full Course 3️⃣ What Are Microservices? – IBM Technology Stop getting overwhelmed by complicated architecture diagrams and buzzwords. These resources break down microservices, distributed systems, and cloud-native design in a way that actually makes sense — from service boundaries to API communication to scaling production systems. Whether you're preparing for system design interviews, learning how real companies like Netflix architect their services, or trying to build scalable backend projects, these videos will help you understand microservices the way engineers actually use them. Save this, share it, and start building systems with confidence — one service at a time.
#Microservice Reels - @emrcodes (onaylı hesap) tarafından paylaşılan video - Comment "MICROSERVICE" to get the links! 🔥 Trying to build scalable systems without understanding microservices is like splitting your app into piec
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@emrcodes
Comment “MICROSERVICE” to get the links! 🔥 Trying to build scalable systems without understanding microservices is like splitting your app into pieces and hoping they magically work together. If you don’t grasp service boundaries, communication, and deployment independence, you’ll face chaos in production. This roadmap prevents that. 🏗 What Are Microservices? A beginner-friendly intro to why microservices exist, what makes them powerful, and how they differ from monoliths. ⏱ Microservices in 5 Minutes A quick explanation of how independent services communicate, scale, and evolve without slowing down the system. 🎯 What Microservices Are Really About A deeper look at the trade-offs—when they help, when they hurt, and why many companies regret adopting them too early. 💡 With these resources, you will: 🚀 Understand how modern distributed systems are actually built 🧩 Define clean boundaries that keep teams and services independent 📈 Scale components that need it—without overspending 🔍 Debug failures across services with better mental models 🛠 Know when microservices are the wrong choice If you want to move from “it works on my laptop” to “it scales reliably in production,” microservice fundamentals aren’t hype—they’re essential. 📌 Save this post so you never lose this roadmap. 💬 Comment “MICROSERVICE” and I’ll send you all the links! 👉 Follow for more Backend Engineering, System Design, and Career Growth.
#Microservice Reels - @dicoding (onaylı hesap) tarafından paylaşılan video - Wah, sekarang kamu jadi tahu kan. Pentingnya mempelajari arsitektur microservices untuk menjadi seorang DevOps Engineer. Menarik sekali 'kan!🤩 Ka
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@dicoding
Wah, sekarang kamu jadi tahu kan. Pentingnya mempelajari arsitektur microservices untuk menjadi seorang DevOps Engineer. Menarik sekali ‘kan!🤩 Kamu sudah mempelajarinya belum? -- Saatnya mempelajari sebuah cara membangun aplikasi yang bisa dikembangkan, di-deploy, dan dikelola secara independen. Enroll sekarang! 🔗dicoding.com/academies/433 #devopsengineer #microservice #devosp #docker #kubernetes
#Microservice Reels - @scaler_official (onaylı hesap) tarafından paylaşılan video - LinkedIn: 'Revolutionized our platform with an AI-powered, scalable microservice.' IRL: Added dark mode 🌚 [LinkedInVsReality, DevHumor, RCB, TechMem
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@scaler_official
LinkedIn: ‘Revolutionized our platform with an AI-powered, scalable microservice.’ IRL: Added dark mode 🌚 [LinkedInVsReality, DevHumor, RCB, TechMeme, CoderLife, LinkedIn, SoftwareEngineer]
#Microservice Reels - @fullstackpeter tarafından paylaşılan video - What is the difference between monolith and microservice architecture? And are all monoliths legacy code by default? #petergriffin #brainrot #learnto
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@fullstackpeter
What is the difference between monolith and microservice architecture? And are all monoliths legacy code by default? #petergriffin #brainrot #learntocode #learnprogramming #systemdesign #programming #backend #webdev
#Microservice Reels - @arjay_the_dev (onaylı hesap) tarafından paylaşılan video - System Design Interview: Google Maps Navigation microservice. Small sample of what a system design for a navigation service might look like. If you
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@arjay_the_dev
System Design Interview: Google Maps Navigation microservice. Small sample of what a system design for a navigation service might look like. If you aren’t familiar with A*, check it out, really cool algorithm that for some reason they didn’t tech me in my algos / dsa class. #csmajors #systemdesign #coding #programming
#Microservice Reels - @mission_compile tarafından paylaşılan video - Your microservice is slow because of external API calls. How do you fix it? ⸻ 1️⃣ Caching 👉 Store common responses in Redis / Memcached so you don'
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@mission_compile
Your microservice is slow because of external API calls. How do you fix it? ⸻ 1️⃣ Caching 👉 Store common responses in Redis / Memcached so you don’t hit the external API every time. Example: Configs, metadata, country lists served from cache. ⸻ 2️⃣ Timeouts & Smart Retries 👉 Set a max wait time and retry only a few times with backoff. Example: If API doesn’t respond in 300ms, fail fast instead of hanging. ⸻ 3️⃣ Circuit Breaker Pattern 👉 If an API keeps failing, stop calling it temporarily and return a fallback. Example: API down → return cached or default response → protect your system. ⸻ 4️⃣ Batch Requests When Possible 👉 Combine multiple API calls into one request. Example: Fetch details for 10 users in one call instead of 10 separate calls. ⸻ 5️⃣ Asynchronous Processing 👉 For non-critical work, push requests to a queue and process in background. Example: Logging, notifications, analytics don’t block the main request. ⸻ 6️⃣ Monitoring & Alerts 👉 Track latency and failures so you know the moment an API slows down. Example: Alert fires before hookup breaks in production. Save for upcoming interviews 🚀 ⸻ #backenddeveloper #developer #coding #api #backenddevelopment (backend system design, microservices performance, external API optimization, distributed systems, system design interview, scalable backend, caching strategies, circuit breaker pattern, async processing, software engineering)
#Microservice Reels - @shubhamkulkarni_insta tarafından paylaşılan video - Answer ✅ If one microservice is slow due to external API calls, I will: • Add caching for repeated responses • Use async / background processing for
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@shubhamkulkarni_insta
Answer ✅ If one microservice is slow due to external API calls, I will: • Add caching for repeated responses • Use async / background processing for non-critical calls • Implement circuit breaker + timeouts + retries • Batch multiple calls where possible • Introduce message queues (Kafka/RabbitMQ) for heavy tasks • Monitor with APM + logs to find exact bottlenecks 💬 Want 30 must-prepare Microservices interview Q&A in a free PDF? Comment MICRO30 👇
#Microservice Reels - @coding_with_deepa tarafından paylaşılan video - These 30 questions are MOST ASKED interview questions and must for interview centric preparations. Comment "pdf" for these questions and detailed ans
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@coding_with_deepa
These 30 questions are MOST ASKED interview questions and must for interview centric preparations. Comment "pdf" for these questions and detailed answers. Microservices - Must-Know Interview Questions 1️⃣What is a Microservice? 2️⃣Advantages of Microservices over Monolithic architecture 3️⃣When should you not use Microservices? 4️⃣Design principles of Microservices 5️⃣What is the 12-Factor methodology? Important ________ 6️⃣Why Spring Boot + Spring Cloud for Microservices? 7️⃣Should multiple Microservices share a database? Why / Why not? 8️⃣How do Microservices communicate internally and externally? 9️⃣Which Microservice design patterns have you used and why? 1️⃣0️⃣Database design patterns in Microservices Super Important _______ 1️⃣1️⃣What is the SAGA pattern? 1️⃣2️⃣Explain CQRS 1️⃣3️⃣Best patterns for read-heavy vs write-heavy systems 1️⃣4️⃣Choreography vs Orchestration 1️⃣5️⃣Fault tolerance mechanisms in Spring Microservices Comment "pdf" for rest of the questions and detailed answers. #codinglife #systemdesign #engineers #developers #softwareengineering [coding, system design, interview, developers, software engineer, coders, java]
#Microservice Reels - @learnwithrockybhatia tarafından paylaşılan video - ✅ Microservice Roadmap ! . Don't forget to save this post for later and follow @learnwithrockybhatia for more such information. . #fullstackdeveloper
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@learnwithrockybhatia
✅ Microservice Roadmap ! . Don't forget to save this post for later and follow @learnwithrockybhatia for more such information. . #fullstackdeveloper #microservices #systemdesign #softwareengineering
#Microservice Reels - @codewith_sushant tarafından paylaşılan video - To design a microservice that needs data from 3 other services without tight coupling, I would follow these principles: 1️⃣ API Composition / Aggrega
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@codewith_sushant
To design a microservice that needs data from 3 other services without tight coupling, I would follow these principles: 1️⃣ API Composition / Aggregator Pattern Introduce an orchestrator or aggregator service that calls the 3 dependent services. The consumer service interacts with only one API, not all 3 services directly. This keeps the core service clean and loosely coupled. 2️⃣ Asynchronous Communication (Event-Driven) Use events (Kafka/RabbitMQ) where possible instead of synchronous REST calls. Each service publishes domain events. The consuming service maintains a local read model built from events. Reduces runtime dependency and improves resilience. 3️⃣ Avoid Shared Databases Each service owns its data. Data is shared only via APIs or events, never direct DB access. Prevents schema-level coupling. 4️⃣ Use Contracts, Not Implementations Interact using well-defined DTOs and API contracts. Version APIs to avoid breaking changes. Never rely on internal fields or logic of other services. 5️⃣ Resilience Patterns Implement Circuit Breaker, Retry, Timeout, and Fallback (Resilience4j). Prevent cascading failures if one service is down. 6️⃣ Cache Where Appropriate Cache frequently used data at the aggregator layer. Reduces repeated calls and dependency pressure. 7️⃣ Domain-Driven Design (DDD) Fetch only data relevant to the bounded context. Avoid pulling full objects—use minimal required attributes. ✅ Summary I avoid tight coupling by using an API Aggregator or event-driven design, strict service boundaries, contract-based communication, and resilience patterns, ensuring services remain independent, scalable, and fault tolerant. Do Follow @codewith_sushant for more tech tips. #tech #java #microservices #interview #coder
#Microservice Reels - @blackcask_ tarafından paylaşılan video - Day 6/365 days - To design a microservice that needs data from other services without tight coupling, I would follow these principles: 1 API Composit
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@blackcask_
Day 6/365 days — To design a microservice that needs data from other services without tight coupling, I would follow these principles: 1 API Composition / Aggregator Pattern Introduce an orchestrator or aggregator service that calls the dependent services. The consumer service interacts with only one API, not all services directly. This keeps the core service clean and loosely coupled. 2 Asynchronous Communication (Event-Driven) Use events (Kafka/RabbitMQ) where possible instead of synchronous REST calls. Each service publishes domain events. The consuming service maintains a local read model built from events. Reduces runtime dependency and improves resilience. 3 Avoid Shared Databases Each service owns its data. Data is shared only via APIs or events, never direct DB access. Prevents schema-level coupling. 4 Use Contracts, Not Implementations Interact using well-defined DTOs and API contracts. Version APIs to avoid breaking changes. Never rely on internal fields or logic of other services. 5 Resilience Patterns Implement Circuit Breaker, Retry, Timeout, and Fallback (Resilience4j). Prevent cascading failures if one service is down. 6 Cache Where Appropriate Cache frequently used data at the aggregator layer Reduces repeated calls and dependency pressure. 7 Domain-Driven Design (DDD) Fetch only data relevant to the bounded context. Avoid pulling full objects-use minimal required attributes. Summary I avoid tight coupling by using an API Aggregator or event-driven design, strict service boundaries, contract-based communication, and resilience patterns, ensuring services remain independent, scalable, and fault tolerant. Do Follow @blackcask_ for more tech tips. #tech #java #microservices #interview #coder

✨ #Microservice Keşif Rehberi

Instagram'da #Microservice etiketi altında thousands of paylaşım bulunuyor ve platformun en canlı görsel ekosistemlerinden birini oluşturuyor. Bu devasa koleksiyon, şu an gerçekleşen trend anları, yaratıcı ifadeleri ve küresel sohbetleri temsil ediyor.

Instagram'ın devasa #Microservice havuzunda bugün en çok etkileşim alan videoları sizin için listeledik. @emrcodes, @codewith_sushant and @fullstackpeter ve diğer içerik üreticilerinin paylaşımlarıyla şekillenen bu akım, global çapta thousands of gönderiye ulaştı.

#Microservice dünyasında neler viral? En çok izlenen Reels videoları ve viral içerikler yukarıda yer alıyor. Yaratıcı hikaye anlatımını, popüler anları ve dünya çapında milyonlarca görüntüleme alan içerikleri keşfetmek için galeriyi inceleyin.

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🌟 Öne Çıkanlar: @emrcodes, @codewith_sushant, @fullstackpeter ve diğerleri topluluğa yön veriyor

#Microservice Hakkında SSS

Pictame ile Instagram'a giriş yapmadan tüm #Microservice reels ve videolarını izleyebilirsiniz. Hesap gerekmez ve aktiviteniz gizli kalır.

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💡 En iyi performans gösteren içerikler ortalama 213.9K görüntüleme alıyor (ortalamadan 1.9x fazla). Orta seviye rekabet - düzenli paylaşım momentum oluşturur.

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📹 #Microservice için yüksek kaliteli dikey videolar (9:16) en iyi performansı gösteriyor - iyi aydınlatma ve net ses kullanın

#Microservice İle İlgili Popüler Aramalar

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