🌙Rohit sanvariya

Angular | React | Dotnet| Ngrx | Developer | DSA

[🌙Rohit sanvariya @Rsanvariya]

I just published in @inPlainEngHQ Angular TanStack Query: A New Era for Angular Developers (Part Three)
https://t.co/OuQR3rpal7

[Narendra Modi @narendramodi]

Nothing is more important than the welfare and future of our youth!

We have decided to set up fast-track courts to ensure swift and stringent punishment for those involved in paper leaks. Have directed the concerned authorities and officials to take all necessary steps in this regard. This continues our series of steps for safeguarding the interests of students.

Those who try to harm the future of our youth will not be spared.

देश के युवाओं का हित और उनका भविष्य हमारी सर्वोच्च प्राथमिकता है।

पेपर लीक के सभी मामलों में दोषियों को जल्द से जल्द कठोर दंड देने के लिए, केस के त्वरित निस्तारण के लिए फास्ट ट्रैक कोर्ट्स का गठन किया जाएगा। इस संबंध में निर्देश दे दिए गए हैं कि संबंधित विभाग आवश्यक कार्रवाई सुनिश्चित करें।

विद्यार्थियों के हितों को सुरक्षित करने के लिए, सरकार द्वारा लिए जा रहे निर्णयों की श्रृंखला में ये एक महत्वपूर्ण कदम है।

युवाओं के भविष्य के साथ खिलवाड़ करने वाले किसी भी व्यक्ति को बख्शा नहीं जाएगा।

[Puneet Patwari @system_monarch]

Senior backend interview in 2026.

How many of these can you explain clearly:

Event sourcing
Saga pattern
Bulkhead isolation
Token bucket vs leaky bucket
Consistent hashing
Write-ahead logging
Backpressure
Tombstone records
Bloom filters
Vector clocks
Gossip protocol
Idempotency keys
Read-your-writes consistency

If it's less than 8, you're not ready.

[🌙Rohit sanvariya @Rsanvariya]

@richierich52004 @FrontalForce You can "actively seeking for the city of god"
If someone else wants to do it then you want development

[Umesh Kumar Yadav @Umesh__digital]

One of my friends got rejected in a Spring Boot Microservices interview, not because he didn’t know concepts,

but because he couldn’t answer real production issues.

That’s when we realized, interviews are no longer about theory — they’re about real-world problem solving.

Here are 15 real production scenario-based questions:

1. Your Spring Boot service CPU suddenly spikes to 90% in production. How will you investigate and fix it?

2. After deployment, your service starts throwing intermittent 500 errors. How will you debug this issue?

3. One microservice goes down and causes a chain failure in other services. How will you prevent this in future?

4. Your API response time increased from 200ms to 3 seconds after a new release. How will you identify the root cause?

5. Database connections are getting exhausted under load. What steps will you take to fix this?

6. A third-party service you depend on is timing out frequently. How will you handle this in your system?

7. You observe duplicate transactions happening in your system. How will you prevent this?

8. Logs are too large and distributed, making debugging difficult. How will you improve observability?

9. Memory usage keeps increasing and your service crashes after some time. How will you detect and fix memory leaks?

10. Your microservice works fine locally but fails in production. How will you approach debugging?

11. A new deployment breaks one feature but works for others. How will you safely roll back?

12. Traffic suddenly spikes 5x during peak hours and your service becomes slow. How will you scale?

13. Inter-service communication is failing due to network latency. How will you optimize it?

14. You need to trace a single request across multiple services during a failure. How will you implement tracing?

15. A bug in one service causes inconsistent data across multiple services. How will you handle data consistency?

If you can answer these with real solutions, you are already at production-level understanding.

[Jahir Sheikh @jahirsheikh8]

As a developer,

you should be able to clearly explain at least 10 of these:

- Load Balancer
- API Gateway
- Reverse Proxy
- Throttling
- Rate Limiting
- Idempotency
- Pagination
- Cache Stampede
- gRPC
- GraphQL
- Webhooks
- OAuth
- JWT
- Cache Invalidation
- Query Optimization
- Composite Index
-ACID
- CAP Theorem
- Sharding
- Circuit Breaker
- Livelock
- CSRF
- Backpressure
- False Sharing
- mTLS

If not, it’s time to brush up.

[SumitM @SumitM_X]

Want to be a backend architect ?

Please learn :

1. Microservices Design
Service decomposition, Bounded contexts, Resilience (Circuit Breaker, Bulkheads)

2. Distributed Systems Fundamentals
CAP Theorem, Event sourcing, CQRS, Data consistency models (ACID vs. BASE)

3. High-Performance Data Management
Database partitioning, Index optimization, NoSQL data modeling

4. Advanced API Design
gRPC, GraphQL, API Gateways, Asynchronous APIs

5. Event-Driven Architecture
Kafka, Message queues, Pub/Sub patterns, Saga pattern

6. Cloud-Native Patterns
Container orchestration (Kubernetes), Serverless, Multi-cloud strategies

7. Observability
Distributed tracing (OpenTelemetry), Centralized logging (ELK), Real-time monitoring

8. Infrastructure as Code
Terraform, Helm, Configuration management best practices

9. Advanced Security
Zero Trust, OAuth2, JWT, Data encryption in transit and at rest

10. Scaling Strategies
Load balancing, Sharding, Horizontal vs. vertical scaling

[Utkarsh Sharma @techxutkarsh]

A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns.

Every chapter is code-backed and covers the frontier of AI systems:

→ Prompt chaining, routing, memory
→ MCP & multi-agent coordination
→ Guardrails, reasoning, planning

This isn’t a blog post. It’s a curriculum. And it’s free.

[Swapna Kumar Panda @swapnakpanda]

50 System Design Topics – Simple to Complex

Perfect Learning Roadmap for 2026. Save this list.

1. Design a Rate Limiter
2. Design a URL Shortener
3. Design Pastebin
4. Design a Unique ID Generator
5. Design Consistent Hashing
6. Design a Load Balancer
7. Design an API Gateway
8. Design a Basic Key-Value Store
9. Design a Caching System (e.g., LRU Cache)
10. Design a Notification System
11. Design a Typeahead/Autocomplete System
12. Design a Web Crawler
13. Design a Message Queue
14. Design a 1:1 Chat System
15. Design a Group Chat System
16. Design a News Feed System
17. Design a Proximity Service (e.g., nearby friends)
18. Design Instagram (photo/video sharing + feed)
19. Design Twitter/X (timeline + posts)
20. Design WhatsApp (real-time messaging)
21. Design Dropbox (file storage & sync)
22. Design a Ticket Booking System
23. Design an E-commerce Platform (catalog + checkout)
24. Design a Recommendation System
25. Design a Distributed Cache
26. Design Uber (ride-sharing + matching)
27. Design Netflix (video streaming platform)
28. Design YouTube (video upload + streaming)
29. Design TikTok (short-video platform)
30. Design Facebook-like Social Network News Feed
31. Design Google Docs (real-time collaborative editing)
32. Design a Content Delivery Network (CDN)
33. Design a Search Engine (indexing + querying)
34. Design Google Maps (routing + location services)
35. Design a Distributed Database
36. Design a Real-time Analytics System
37. Design an Ad Serving & Tracking System
38. Design a Fraud Detection System
39. Design a Stock Trading/Exchange System
40. Design a Distributed Job Scheduler
41. Design Event Sourcing + CQRS Architecture
42. Design a Multi-tenant SaaS Platform
43. Design Live Video Streaming at Scale
44. Design a Highly Scalable NoSQL Database
45. Design a Real-time Multiplayer Game Backend
46. Design Machine Learning Model Serving Infrastructure
47. Design a Geo-distributed Low-Latency System
48. Design a Strongly Consistent Global Database
49. Design a High-Frequency Trading Platform
50. Design a Planet-Scale Distributed System (billions of users, multi-region HA)

Want to add anything in this list?

[Vivo @vivoplt]

Best YouTube Channels To Learn in 2026

1. Cybersecurity – John Hammond
2. Artificial Intelligence – Andrej Karpathy
3. AI Research Breakdown – Yannic Kilcher
4. Web Development – The Net Ninja
5. Python Programming – Corey Schafer
6. DevOps – TechWorld with Nana
7. Cloud Computing – AWS re:Invent
8. Data Analytics – Luke Barousse
9. System Design – Gaurav Sen
10. Databases – Hussein Nasser
11. Low-Level Programming – The Cherno
12. Linux – Learn Linux TV
13. Networking – David Bombal
14. Math for ML – 3Blue1Brown

[Nikki Siapno @NikkiSiapno]

15 blogs that will help you become a better engineer:

1. Uber Engineering: https://t.co/KClBA7duej

2. Airbnb Tech Blog: https://t.co/3cxlcGh2Vk

3. OpenAI Engineering: https://t.co/Oo0NcvWKb4

4. AWS Architecture: https://t.co/kvBAMbpyvr

5. Netflix TechBlog: https://t.co/T3StVaZlCB

6. Discord Engineering: https://t.co/ne9lNeUeMX

7. Anthropic Engineering: https://t.co/xnorMy9ISZ

8. NVIDIA Developer: https://t.co/i9y3zNuNyC

9. Slack Engineering: https://t.co/qT1O4xxSoc

10. Cloudflare Blog: https://t.co/oSp5ALRFPT

11. Figma Tech Blog: https://t.co/MQxyVO84Ms

12. Shopify Engineering: https://t.co/U4sptY2tB2

13. Stripe Engineering: https://t.co/w8c7fcJKgj

14. Microsoft Engineering: https://t.co/zgLHpGKBRa

15. GitHub Engineering: https://t.co/83WGnNkagK

Bonus (system design deep dives) Level Up Coding: https://t.co/r3l7NXrMQv

Bonus two: Get our 𝟭𝟰𝟮-𝗽𝗮𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗛𝗮𝗻𝗱𝗯𝗼𝗼𝗸 covering 𝟱𝟭 𝘀𝘆𝘀𝘁𝗲𝗺 𝗱𝗲𝘀𝗶𝗴𝗻 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀 for 𝗙𝗥𝗘𝗘 when you join our newsletter. Join 30,001+ engineers: https://t.co/8uVCeyVa1w

What other blogs should be on this list?

🔖 Save for later.
♻️ Repost to help other engineers learn and grow.

[Dhanian 🗯️ @e_opore]

𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟲

𝟭. 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀

Start by understanding the core principles behind building scalable systems.

🔹 Scalability (Vertical vs Horizontal Scaling)
🔹 Reliability & Fault Tolerance
��� High Availability
🔹 Latency vs Throughput
🔹 CAP Theorem

𝟮. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 & 𝗣𝗿��𝘁𝗼𝗰𝗼𝗹𝘀
Systems communicate over networks, so understanding networking is essential.
🔹 HTTP / HTTPS
🔹 TCP vs UDP
🔹 DNS (Domain Name System)
🔹 Load Balancers (L4 vs L7)
🔹 Reverse Proxies
𝟯. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀
Data storage design is a key part of system architecture.

🔹 SQL Databases (PostgreSQL, MySQL)
🔹 NoSQL Databases (MongoDB, Cassandra)
🔹 Database Indexing
🔹 Database Replication
🔹 Database Sharding

𝟰. 𝗖𝗮𝗰𝗵𝗶𝗻𝗴

Caching improves system performance and reduces database load.

🔹 In-memory caching (Redis, Memcached)
🔹 Cache Invalidation strategies
🔹 Write-through / Write-back caching
🔹 CDN (Content Delivery Networks)
𝟱. 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗤𝘂𝗲𝘂𝗲𝘀
Queues help build asynchronous and resilient systems.
🔹 Kafka
🔹 RabbitMQ
🔹 Amazon SQS
🔹 Event-driven architectures
𝟲. 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗔𝗿𝗰𝗵��𝘁𝗲𝗰𝘁𝘂𝗿𝗲

Break large applications into smaller independent services.

🔹 Service communication (REST, gRPC)
🔹 API Gateway
🔹 Service discovery
🔹 Circuit breakers

𝟳. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀 & 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻

Modern distributed systems rely heavily on containers.
🔹 Docker
🔹 Kubernetes
🔹 Container networking
🔹 Service mesh (Istio, Linkerd)
𝟴. 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆
Monitor systems to detect failures and performance issues.
🔹 Logging (ELK Stack)
🔹 Monitoring (Prometheus, Grafana)
🔹 Distributed tracing (Jaeger, OpenTelemetry)
🔹 Alerting systems

𝟵. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆

Secure systems against threats and vulnerabilities.

🔹 Authentication & Authorization
🔹 OAuth / JWT
🔹 Encryption (TLS, HTTPS)
🔹 Rate limiting & DDoS protection

𝟭𝟬. 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴
Large-scale systems handle massive data pipelines.
🔹 Batch processing
🔹 Stream processing (Kafka Streams, Flink)
🔹 Data pipelines
🔹 Event sourcing
𝟭𝟭. 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀

Understand proven design patterns used in large systems.

🔹 Leader election
🔹 Consensus algorithms (Raft, Paxos)
🔹 Distributed locks
🔹 Idempotency

𝟭𝟮. 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

Apply your knowledge by designing real-world platforms.
🔹 Design Twitter / X
🔹 Design WhatsApp messaging system
🔹 Design URL shortener (TinyURL)
🔹 Design YouTube video streaming system
🔹 Design Uber ride matching system
Learn System Design with deeper explanations, diagrams, and real-world architectures here:
https://t.co/2LauJpfbk4

[Javarevisited @javarevisited]

Interviewer:

If Nginx can load balance traffic,
why do companies still use dedicated load balancers?

[kapilansh @kapilansh_twt]

Most devs learn backend by copying tutorials.
They can build. But they can't explain "why anything works".
That's the difference nobody talks about.
"Backend from First Principles" by Sriniously fixes exactly that.
23 videos. Free on YouTube.
It covers everything underneath the surface:
• HTTP & Routing - what actually happens before your handler even runs
• Middlewares - why order matters more than you think
• Auth & Security - not just "add JWT" but why it works
• Task Queues & Webhooks - how real systems handle async without breaking
• Caching & Databases - the decisions that make or break performance at scale

This isn't another "build a REST API" tutorial.
This is backend "the way seniors actually think about it".
Most of your competition hasn't found this yet.
Save it before you write another endpoint you don't fully understand.

[Makakmayum @makakmayum_sid]

As a Backend engineer, learn below to move beyond CRUD APIs:

→Security
a. Authentication & Authorization
b. Cryptography
c. Encryption Algorithms
d. OWASP Top 10
e. SIEM, IDS, IPS, etc.
f. misc: OAuth 2.0, JWT, etc.
g. CORS
h. Security headers(CSP, HSTS etc.)
i. Input validation

→Performance
a. Caching strategies
b. Rate-limiting & Throttling
c. Load balancing
d. Chaos Engineering
e. Fault Tolerance

→Database Engineering
a. Query optimization
b. Indexing
c. Database trade-offs
d. Database transactions and isolation levels
e. Sharding and partitioning

→API Design
a. OpenAPI 3.0 standards
b. Restful & GraphQL API principles
c. Status codes, versioning, and pagination strategies

→Architecture & Paradigms
a. Monolith
b. Modular monolith
c. Microservices
d. Serverless vs. Native
e. Concurrency & parallelism
f. Multithreading
g. Optimistic and pessimistic locking

→Distributed systems
a. Microservices patterns
b. Event-driven approach
c. Serverless vs native approach
d. gRPC & Protobuf
e. Kafka/RabbitMQ

→ DevOps
a. CI/CD
b. Containerization
c. Understanding of SLAs
d. Incident Management

→Observability
a. Logging, monitoring, and tracing
b. Profiling & optimization
c. Alerting

→Miscellaneous Microservices topics
a. API Gateway
b. Reverse proxy
c. Circuit breaker Pattern
d. Retry/back off patterns
e. Background jobs/Scheduling

These will help you make outstanding backend systems that are secured, meet SLAs, and are highly tolerant.

[SumitM @SumitM_X]

As a developer,

Please slap yourself if you can't explain at least 10 of these :

API Gateway
Load Balancer
Reverse Proxy
Rate Limiting
Throttling
Pagination
Cache stampede
Idempotency
GraphQL
gRPC
Webhooks
JWT
OAuth
Cache invalidation
Composite index
Query optimization
CAP THEOREM
ACID
Sharding
Circuit breaker
Livelock
CSRF
Backpressure
False sharing
mTLS

[Javarevisited @javarevisited]

https://t.co/c6qjPlG1dt

[Leonard Rodman @RodmanAi]

System Design becomes EASY when you follow these:

1. Fundamentals
https://t.co/3El7u5v1at

2. API Design
https://t.co/y13ymiLR9c

3. Load Balancing
https://t.co/QP3ZH6iZxH

4. Message Queues
https://t.co/69i7a9FlDC

5. Rate Limiting
https://t.co/NcuCcfhY01

6. Caching
https://t.co/ZEmAMj5nb5

7. Sharding & Partitioning
https://t.co/KZcn6xrdPr

8. Database Replication
https://t.co/diWvyI4QZW

9. Consistent Hashing
https://t.co/JYZG24AXIf

10. CAP Theorem
https://t.co/8MQRmb3qy8

11. Microservices
https://t.co/pH29HRu3WJ

12. Fault Tolerance
https://t.co/hMAqL9i1Nv

13. Scalability
https://t.co/3sP0CkZTGF

14. Event-Driven Architecture
https://t.co/BAYffQm2td

15. Service Discovery
https://t.co/8BaRzHIaFk

[kapilansh @kapilansh_twt]

Everyone is learning Next.js and AI tools.
Almost no one is learning how databases actually work at scale.
CMU Advanced Database Systems (Full 22-lecture playlist)
Master these rare skills:
• How real query execution & optimization engines work
• Columnar storage, vectorized execution & modern OLAP
• Why Snowflake, Redshift & DuckDB changed everything
• Distributed database failures & the “one DB to rule them all” myth

[Fernando @Franc0Fernand0]

If you're a software engineer who wants to upskill in system design, read these 14 articles (links below):