237.4K
THComparing how different API approaches behave conceptually, not raw protocol benchmarks.
#coding #engineering #api #computerscience #development
@this.girl.tech
#Api Vs Microservices
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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
10.7K
SSWhat's the difference between MCP and API?
@sshirg
18.8K
ELAPI vs MCP vs A2A 🦾
@eliicolussi_
104.6K
VOComment "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.
@volkan.js
742.8K
SAWhat is an API? 🤯
If you’re learning software engineering, cloud, or ML… you need to understand this.
APIs run EVERYTHING your apps, the cloud, your favorite tools.
Here’s the simplest explanation you’ll ever see. 🚀
@sayed.developer
1.3M
SAtl;dr: MCP essentially work as universal API for AI models that work across different data sources.
if you wanna further deep dive about MCP then here are few resources:
1. @gregisenberg's video with Ras Mic where they breakdown MCP in simplest manner.
2. Ras Mic MCP setup tutorial in his youtube channel.
3. @marwankashef YT channel, where he has couple of videos around MCP
watch, understand and tinker around it.
and reminder to not just consume information or simply binge watch those videos.
[startup, ycombinator, software development, SaaS, AI, Claude, ChatGPT]
@saasflash
137
514.5K
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
453.5K
EMComment “API” to get the links!
🔥 Trying to build modern software without understanding APIs is like wiring systems together without agreeing on a language. If you don’t truly get what APIs are, how REST works, and why gateways exist, you’ll build fragile systems, misuse tools, and struggle with scaling and integration. This mini roadmap fixes that.
⚡ What Is an API? (Application Programming Interface)
A clear explanation of what APIs actually are, why they exist, and how software systems communicate—without hand-wavy abstractions.
📚 What Is a REST API?
A practical breakdown of REST principles, HTTP methods, statelessness, and resource-based design—so you stop guessing and start designing APIs correctly.
🎓 What Is an API Gateway?
Learn why API Gateways exist, what problems they solve (auth, rate limiting, routing), and when you actually need one—versus when you don’t.
💡 With these API resources you will:
🚀 Stop treating APIs as “just controllers”
🧠 Build a correct mental model of client–server communication
🏗 Design cleaner, more scalable backend interfaces
⚙ Avoid common REST and API design mistakes
☁ Level up for Backend, Frontend, Microservices, and Cloud architectures
If you want to move from “my endpoint works” to “my system scales, integrates, and evolves cleanly,” API fundamentals aren’t optional—they’re foundational.
📌 Save this post so you never lose this API roadmap.
💬 Comment “API” and I’ll send you all the links!
👉 Follow for more Backend Engineering, System Design, and Career Growth.
@emrcodes
13.0M
FUHow API works?
@fullstackhq
160.0K
VISAVE THIS For Your Next Backend Interview 💼
An API is simply how apps talk to each other.
Request → Response → Data.
But not all APIs are built the same 👇
1. REST
The most common API style using HTTP requests.
Simple & widely used
Limitation: You often get too much data (overfetching) or too little (underfetching)
2. GraphQL
Lets clients request exactly the data they need.
No over/under fetching
Limitation: Can get complex & harder to scale properly
3. WebSockets
Real-time, two-way communication between client & server.
Perfect for chats, live updates
Limitation: Harder to manage at scale
4. gRPC
High-performance APIs using Protocol Buffers.
Super fast & efficient
Limitation: Not browser-friendly, harder to debug
5. Webhooks
Server sends data automatically when an event happens.
No need to constantly request data
Limitation: You don’t control when data comes (event-driven only)
Understand when to use what, because that’s what actually gets tested.
These cover 80% of the most popular api types, but there are more like SOAP, MQTT.. which are used based on company requirements.
Follow for more!
.
.
[backend interview concepts, cloud interview prep, api types, rest api, graphql explained, websockets tutorial, grpc vs rest, webhooks explained, backend development, system design basics, software engineering concepts, tech interview prep, api interview questions, full stack development, devops fundamentals, cloud computing basics, programming fundamentals, coding for beginners]
@vishakha.sadhwani
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