235.2K
COArchitectures.
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#architectures #systemdesign #microservices #sofrwaredevelopment
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CO29 MOST ASKED MICROSERVICES INTERVIEW QUESTIONS
(Easy → Medium → Hard)
Comment “pdf” for interview-precise answers to all these questions.
Stop randomly preparing. Focus level-wise
⸻
EASY (Foundation — must be perfect)
1. What are Microservices?
2. Monolith vs Microservices — key differences?
3. Advantages of Microservices architecture?
4. Disadvantages of Microservices?
5. What is API Gateway?
6. What is Service Discovery?
7. What is Load Balancing in Microservices?
8. What is REST communication between services?
9. What is configuration management?
10. What is centralized logging?
⸻
MEDIUM (Real interview level)
11. What is Circuit Breaker pattern?
12. What is Retry mechanism?
13. What is Distributed Tracing?
14. What is the role of Spring Cloud?
15. What is Netflix Eureka?
16. What is Feign Client?
17. What is Zuul / Spring Cloud Gateway?
18. What is Config Server?
19. What is Inter-service communication (Sync vs Async)?
20. What is Event-driven architecture?
⸻
HARD (Where most people fail)
21. How do you handle Distributed Transactions? (Saga pattern)
22. What is Idempotency and why is it important?
23. How do you ensure Data Consistency across services?
24. What is API versioning strategy?
25. What are Bulkhead and Rate Limiting patterns?
26. How does security work in Microservices? (JWT, OAuth2)
27. How do you handle failures and fault tolerance?
28. How does containerization help? (Docker, Kubernetes)
29. How do you design a scalable Microservices system end-to-end?
⸻
Comment “pdf” if you want crisp, interview-ready answers for all 29 questions.
Save this 📌 and revise before every interview.
#microservices
#systemdesign
#softwareengineering
#backenddeveloper
#springboot
java
developers
coding
[coding, system design, springboot, genAl developers, software engineer, coders, java]
@coding_with_deepa
150.3K
CO🚀 Top 12 Microservices Patterns Every Developer Must Know
Building scalable systems isn’t just about code — it’s about choosing the right architecture.
From handling failures to managing distributed transactions, these patterns help you design robust, scalable, and production-ready systems 💡
🔑 What you’ll learn from this:
• How API Gateway simplifies client communication
• Why Saga is critical for distributed transactions
• How Circuit Breaker prevents system failure
• When to use CQRS & Event Sourcing
• Best practices like Database per Service & Sidecar.
💼 If you're preparing for System Design Interviews or working on Spring Boot Microservices, this is a must-know cheat sheet.
📌 Save this post for quick revision
#Microservices #SystemDesign #JavaDeveloper #SpringBoot #BackendDevelopment SoftwareArchitecture TechLearning CodingJourney DeveloperTips InterviewPreparation
@codewith_sushant
11.1K
AWEver been stuck choosing between Lambda and ECS for your project? Let's break it down:
1️⃣ Event-driven processing: Lambda takes the crown 👑
• Auto-scales with incoming events
• Pay only for execution time (hello, cost savings! 💰)
2️⃣ Long-running apps: ECS shines here 🌟
• Manages containerized apps with ease
• More control over infrastructure and networking
3️⃣ Microservices: It's a tie, but with a twist 🤔
• Lambda = Serverless simplicity
• ECS = Granular control and diverse workloads
Ready to dive deeper? Check the AWS docs for getting started guides, or ask Amazon Q about best practices and troubleshooting tips! 🚀
Which service are you leaning towards for your next project? Share in the comments! 👇
Follow @awsdevelopers for more cloud content.
—————————
Tags 🏷
#AWS #CloudComputing #Tech #AWSLambda #AmazonECS #Microservices #ServerlessComputing #ContainerOrchestration
@awsdevelopers
20.3K
COMicroservices roadmap for spring boot developers #microservices #springboot #backenddevelopment #backenddev #hungrycoders
@codingwithaman
206.4K
KRHow do microservices actually talk to each other?
There are only two real choices — and most teams pick wrong by default.
* REST / gRPC → A calls B and waits. Thread suspended. If B crashes, A's request dies with it. Coupled.
* Queue / PubSub → A drops a message and walks away. The queue holds it. B crashes? Doesn't matter — A keeps running. B recovers? Message delivered. Zero data lost.
The trade-off:
✅ REST/gRPC = simple, immediate, fragile
✅ Queue/PubSub = durable, decoupled, eventually consistent
Pick by the question: "do I need an answer right now, or just need this to happen eventually?"
Stack: HTTP · gRPC · Kafka · RabbitMQ · SQS · Redis Streams · NATS
#systemdesign #trending#vibecoding#distributedsystems #microservices #backendengineering #grpc #kafka #softwarearchitecture
#ai#productionready#aitools
@krishnachaytanyaa
1.1M
COFamous Interview Question:
You ran a DELETE query in production.
Without WHERE clause.
10 million rows gone. No backup.
How would you handle this in production?
This is not a mistake. This is a production incident.
⸻
1️⃣ Stop the Damage Immediately
• Disable application writes
• Restrict DB access
• Prevent further data loss
: First contain the blast, then fix it.
⸻
2️⃣ Check If Transaction Is Open
If not committed → ROLLBACK
Data restored instantly
If committed → move to recovery
: Always verify transaction state first.
⸻
3️⃣ Check Read Replicas
Replica may still have old data
• Stop replication
• Promote replica to primary
: Replicas can save you in disasters.
⸻
4️⃣ Use Database Logs
Use binlog or WAL logs.
Replay logs to point before DELETE.
Recover lost data step by step.
:Always enable binlog and WAL in production.
⸻
5️⃣ Point-in-Time Recovery
Restore DB to just before deletion
Requires:
• binlog / WAL enabled
: Always keep PITR ready.
Most cloud databases support this natively.
⸻
6️⃣ Rebuild From Other Systems
Check:
• Cache (Redis)
• Search index
• Downstream services
Data exists in multiple places. Check all of them.
⸻
7️⃣ Final Solution in Production
• Restore data using replica / logs / PITR
• Verify data integrity
• Bring system back gradually
: Recovery + validation = real solution.
————
8️⃣ How to Prevent This
Never DELETE without WHERE clause.
Always use soft delete in production.
Automated backups every hour.
Limit who can run DELETE — access control.
Production lesson: Prevention is better than recovery.
⸻
🔥 Interview Ready One-Liner:
Solve accidental deletion by stopping writes, checking rollback, restoring data using replicas or logs, and validating system before bringing it back online.
Follow @codedsoul_05 ❤️
#backend #systemdesign #java #microservices scalability performance debugging production techindia systemdesign microservices scalability devops cloud interviewquestions techindia codingindia
@codedsoul_05
736.9K
COCompanies are Quitting microservices.
They’re fixing what broke.
For years, microservices were sold as the ultimate architecture.
Move fast. Scale independently. Deploy anytime.
And it worked... until it didn’t.
What actually happened in many companies:
100+ services for a simple product
Network calls everywhere
Debugging turned into tracing nightmares
Infra cost exploded
Local development became painful
Teams spent more time managing services than building features
So companies didn’t go back to monoliths.
They went modular.
Modular architecture =
Clear domain boundaries
Fewer, larger services
Strong internal modules instead of network hops Independent ownership without distributed chaos
Faster dev, easier testing, lower cost Big tech today prefers:
Well-structured modular monoliths
Selective microservices (only where scale truly
demands it
Because architecture is not about trends.
It’s about trade-offs.
Microservices are powerful -
but only when you actually need them.
Build simple first.
Scale deliberately.
Distribute only when forced.
That’s how real systems survive.
#softwarearchitecture #microservices #modulararchitecture #systemdesign
#backendengineering scalablearchitecture techinsights engineeringlessons distributedSystems backenddev
@codewithupasana
10.5K
SUDay 52/50 | Netflix’s Chaos Kong | AWS catastrophic crash | System Design Interview Preparation Series
Learn the Architect’s way of handling complete AWS regional crash.
- Handle Disaster Recovery
- Handle Database Recovery
- Handle Gateway Rerouting
- Handle CDN Routing
- Learn Load Balancing
Comment “Chaos” for the complete blog.
Follow @sunchitdudeja for more such content.
#systemdesign #microservices #java #springboot #architect
@sunchitdudeja
513.8K
CO🚨 Famous Interview Question:
You have an API, but it takes too long to respond.
How would you debug it in production?
This is not random debugging.
This is structured investigation.
Let’s go step by step.
⸻
1️⃣ Verify If It’s Really Slow
• Test with Postman or curl
• Measure actual response time
If slow only in browser → Frontend issue
If slow in Postman too → Backend issue
Production lesson: Never assume. Measure first.
⸻
2️⃣ Check Network Latency
Latency = Time taken to reach the server
Use curl to check:
curl -w “@curl-format.txt” -o /dev/null -s https://api.example.com/endpoint
• DNS time
• Connection time
• Time to first byte
If latency is high → Network / Load balancer issue
If latency is low → Problem is inside server
Production lesson: Separate network delay from processing delay.
⸻
3️⃣ Check Server Processing Time
Break down time at each layer:
• Controller
• Service
• Database
Add structured logs with timestamps.
Identify which layer is slow.
Production lesson: Isolate the bottleneck, don’t debug blindly.
⸻
4️⃣ Check Database Performance
• Slow queries?
• Missing indexes?
• High DB CPU?
Use query logs & EXPLAIN plan.
In most real systems → DB is the bottleneck.
⸻
5️⃣ Use APM Tools
Use tools like New Relic / Datadog / etc.
They show:
• Method-level timing
• External API timing
• DB query breakdown
Production lesson: Observability is power.
⸻
🔥 Interview Ready One-Liner:
Debug slow APIs by separating network latency from server processing, then isolate the slow layer using logs, DB analysis, and APM tools.
⸻
Please follow me for more such content.HAPPY CODING
#backend #systemdesign #java #microservices #scalability performance debugging production techindia systemdesign microservices scalability devops cloud interviewquestions techindia codingindia
@codeera.tech
2.0K
MOClient ↔ Server communication — quick breakdown ⚡
Different ways clients & servers talk — based on latency, real-time needs, and scalability.
Request–Response
✔ Simple, easy to implement
✔ Great for APIs
❌ Blocking (client waits)
❌ Not real-time
WebSockets
✔ Real-time, bidirectional
✔ Low latency updates
❌ Hard to scale
❌ Connection management overhead
SSE (Server-Sent Events)
✔ Simple real-time updates
✔ Works over HTTP
❌ One-way only (server → client)
❌ Limited flexibility
Long Polling
✔ Works everywhere (fallback)
✔ No persistent connection needed
❌ Inefficient, repeated requests
❌ Higher latency & load
💡 Choose wisely — architecture > code
#microservices #distributedsystems #softwarearchitecture #morethancodebase #dsa
@morethancodebase
2.4K
SAEveryone is moving to microservices…
But Amazon saved 90% by going the other way 👀
Part 2: When to choose monolith vs microservices 👇
Comment ‘PART 2’ and I’ll remind you
#tech #systemdesign #microservices #amazon #engineering
(microservices vs monolith
monolith architecture
microservices architecture
system design
software architecture
scalable systems
backend engineering)
@sanskriti_malik11
✨ #Microservices Discovery Guide
Instagram hosts 289K posts under #Microservices, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
Discover the latest #Microservices content without logging in. The most impressive reels under this tag, especially from @codedsoul_05, @codewithupasana and @codeera.tech, are gaining massive attention. View them in HD quality and download to your device.
What's trending in #Microservices? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
Popular Categories
📹 Video Trends: Discover the latest Reels and viral videos
📈 Hashtag Strategy: Explore trending hashtag options for your content
🌟 Featured Creators: @codedsoul_05, @codewithupasana, @codeera.tech and others leading the community
FAQs About #Microservices
With Pictame, you can browse all #Microservices reels and videos without logging into Instagram. No account required and your activity remains private.
Content Performance Insights
Analysis of 12 reels
💡 Top performing posts average 649.3K views (2.5x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
Content Creation Tips & Strategy
💡 Top performing content gets over 10K views - focus on engaging first 3 seconds
✨ Many verified creators are active (33%) - study their content style for inspiration
📹 High-quality vertical videos (9:16) perform best for #Microservices - use good lighting and clear audio
✍️ Detailed captions with story work well - average caption length is 943 characters
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