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Comment “DOCKER” 🐳 and I’ll send you detailed notes in DM 📩 Learn how Docker works internally: ✅ Containers ✅ Images ✅ Layers ✅ Volumes ✅ Networking ✅ Docker Engine Architecture Save this reel for
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Comment “REDIS” and I’ll send you complete Redis notes in DM 🚀 #redis #systemdesign #backend #developer #coding
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Comment “BACKEND” and I’ll send you the complete PDF in DM 🚀 Covers logging, monitoring, debugging, tracing, performance tools, and real-world backend developer essentials. #backend #backenddevelop
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Comment “SOAP” and I’ll send you detailed notes 📩 #api #webservices #apidevelopment #backenddevelopment #springboot
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Comment “REST” and I’ll send you the complete notes 📩 #restapi #backenddeveloper #springboot #webdevelopment #learncoding
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N+1 Query Problem — Silent Performance Killer When your application executes 1 query to fetch parent data and then fires N additional queries (one per record) to fetch related data… you’ve just creat
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CQRS (Command Query Responsibility Segregation) separates read and write operations into different models. * Command (Write Model): Handles data changes (Create, Update, Delete) * Query (Read Model):
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Choreography Saga Pattern 🔄 In a choreography-based saga, there is no central orchestrator. Each microservice listens to events and reacts independently, forming a loosely coupled, event-driven work
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How Orchestration Saga works internally 👇 1️⃣ Client → Orchestrator 2️⃣ Orchestrator → Order Service 3️⃣ Orchestrator → Payment Service 4️⃣ Orchestrator → Inventory Service 5️⃣ On failure → triggers
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Saga Design Pattern 🔥 Handling failures in microservices like a PRO 💪 Saga Design Pattern = 👉 No global transaction 👉 But still consistency ✔️ If one service fails? 🔥 We roll back with compensa
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CAP Theorem explained simply 👇 In a distributed system, you can only guarantee 2 out of 3: • Consistency (same data everywhere) • Availability (always responds) • Partition Tolerance (works despit
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Strong Consistency = Same data, instantly ⚡ Eventual Consistency = Same data… but after some time ⏳ Choose wisely based on your system 🚀 #SystemDesign #Consistency #DistributedSystems #BackendDevelo
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About @devllabs

Ajay Dangi is a verified Instagram micro influencer in the Digital creator category. With 12.9K followers and 12 posts, devllabs's account shows a follower-to-following ratio of 860.4:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

devllabs's engagement rate sits at 0.90%. For accounts with 10K-100K followers, the average is around 2.5%, so there's some room to grow — though every community is unique.

Out of the last 12 posts, 100% are videos and 0% are photos. New posts appear roughly every 3 days — a steady, reliable rhythm. Captions lean moderate, averaging 383 characters.

0.90% engagement rate — room to grow compared to average for 10K-100K follower accounts.
New content every 3 days — a steady rhythm.
860.4:1 follower-to-following ratio.

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devllabs
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@devllabs

Ajay Dangi

PublicDigital creator
Posts
12
Top Hashtags
#SystemDesign#DistributedSystems#JavaDeveloper#Microservices#BackendEngineering#backenddeveloper#BackendDevelopment#TechReels

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

Followers
12.9K
Following
15
Avg. Likes
81
Avg. Comments
35
Engagement
0.90%

🧑🏻‍💻 Software Developer | Tech Mentor ⚙️ backend * System Design * DSA 📩 DM for Mentorship & Brand Collabs

topmate.io/ajay_d13