91.1K
COGraphQL explained by cats 🐈💻. #graphql #cat #software #developer #coding
@coding.kitty
#Graphql
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SAGraphQL clearly explained 🤯
Guys! GraphQL is a query language and runtime for APIs that lets clients request exactly the data they need. Instead of multiple endpoints, it typically uses a single endpoint where clients define the structure of the response. This reduces over-fetching and under-fetching compared to traditional REST APIs. And that’s literally it😁
Follow for more 🤝
#softwareengineering #computerscience
@sayed.developer
78.4K
THComment “blog” & I’ll share the blog link & my notes with you in your DM 🤝🏻
(Make sure to follow else automation won’t work)
Topic: GraphQL API
Save for your future interviews 📩
#dsa #systemdesign #tech #coding #codinglife #restapi #webdev #api #graphql
[dsa, system design, GraphQL API, REST API, tech]
@thatcodergirlie
115.7K
MIThe less you hit the database, the faster your app feels.
Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio
Here are smart ways to reduce DB calls 👇
1️⃣ Use JOINs to fetch everything at once
Instead of separate queries for user + posts + stats, pull them together in one joined query.
⸻
2️⃣ Batch-fetch instead of looping queries
Instead of hitting the DB 10 times for 10 product IDs, get them all using one bulk SELECT (IN clause).
⸻
3️⃣ Cache data that doesn’t change often
Don’t fetch homepage sections on every request — load trending posts, categories, or banners from Redis.
⸻
4️⃣ Pre-compute expensive data in background jobs
If computing likes count, comments count, followers count takes time, let a worker update it once, not per request.
⸻
5️⃣ Use materialized views for complex calculations
If your homepage needs analytics like top creators, top-selling products, let the DB store a ready-made snapshot.
⸻
6️⃣ Denormalize data that’s read constantly
Instead of joining users + profiles + settings each time, store key fields together for faster reads.
⸻
7️⃣ Move heavy reads to read replicas
If your feed page triggers thousands of reads, send them to replicas, keeping the main DB free for writes.
⸻
8️⃣ Cache API responses at the edge (CDN)
If thousands of people load the same homepage, serve it from Cloudflare/Edge — no DB hit at all.
⸻
9️⃣ Use GraphQL to avoid multiple endpoints
Instead of calling 5 different APIs (user, posts, comments, stats, settings), let GraphQL return exactly what you need in a single query.
#systemdesign #backenddevelopment #backendengineer #webperformance
#databaseoptimization #scalablesystems #highperformanceapps #softwarearchitecture
#programmingtips #techreels #techinstagram #learnsystemdesign #mission_compile
#restapi #graphql #mysql #nosql #engineeringtips #devcommunity
(database optimization, reduce db queries, backend performance, query optimization techniques, system design for beginners, high performance backend, graphql vs rest, caching strategies, backend scaling tips, database joins)
@mission_compile
144.2K
ARWhy do people hate GraphQL
(I’m people). There might be a time and a place for graphQL, but I haven’t seen it yet. It introduces additional complexity and makes debugging and logging 10x worse. #graphql #csmajors #apis #systemdesign #coding
@arjay_the_dev
84.1K
NOGraphql vs Rest #dsa #faang #javascript #systemdesign #codinglife
@notaboringdeveloper
119.1K
TEWe’ve all heard the term API before, but what does it mean? Why are there so many different types, and what do they all do?
This video seeks to answer those question by diving a little bit deeper into what things like GraphQL, RESTful APIs, Websockets, and Webhooks do.
APIs are extremely important, so it’s crucial to have a high level understanding, so during implementation you know which would be best suited for your needs.
Hopefully this helps you in your journey ✨😊
#computersciencestudent #softwareengineer #careerintech #cs #api
@tembrasdev
16.3K
COREST has powered the web for years.
GraphQL changed how data is fetched, not how backend is built.
Here’s the real difference 👇
🔹 REST
Multiple endpoints
Fixed response structure
Simple, predictable, cache-friendly
Best for CRUD-heavy and stable APIs
🔹 GraphQL
Single endpoint
Client asks exactly what it needs
No over-fetching or under-fetching
Perfect for complex UIs and fast-moving frontends
💡 Industry truth:
Big companies use both.
REST for internal services and simple flows.
GraphQL as an aggregation layer for frontend teams.
Choosing one blindly is a mistake.
Knowing WHEN to use WHAT is a skill.
Save this.
Share this.
Think like a system designer, not a framework fan.
#GraphQL #RESTAPI #APIs #SystemDesign #BackendDevelopment FrontendDevelopment FullStackDeveloper SoftwareEngineering WebDevelopment TechCareers Developers Programming LearnTech
@codewithupasana
81.0K
DEpart-7, graphql vs rest
frontend system design
#frontend #codinglife #systemdesign #leetcode #javascript
@dev.nd.drive
112.1K
CLFollow @cloud_x_berry for more info
#APIResponseTime #SystemDesign #BackendPerformance #WebArchitecture #NetworkingProtocols
API performance comparison, gRPC protocol, GraphQL API, REST API, WebSocket protocol, binary protocol, single endpoint API, HTTP caching, persistent connections, full HTTP request, latency optimization, network overhead, API throughput, real time communication, client server architecture, performance benchmarking, scalable APIs, backend optimization, protocol efficiency, user experience speed
@cloud_x_berry
175.7K
RA3 Backend Projects every Student should make in 2025
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@rajan.techie
3.5K
WEConfused between REST and GraphQL? Read this once and you’ll never mix them again 👇
🔹 Data fetching
REST APIs return fixed responses defined by the backend, which can lead to over-fetching or under-fetching of data.
GraphQL allows clients to request exactly the data they need, nothing more and nothing less.
🔹 Endpoints
REST uses multiple endpoints for different resources like users, posts, or orders.
GraphQL uses a single endpoint to access all data through queries and mutations.
🔹 Performance
REST can require multiple API calls to fetch related data.
GraphQL can fetch related data in a single request, reducing network calls.
🔹 Flexibility
REST APIs require backend changes when the response structure needs to change.
GraphQL gives frontend teams more flexibility since they control the shape of the response.
🔹 Versioning
REST often uses versioning like v1, v2, v3 when APIs change.
GraphQL avoids versioning by evolving the schema without breaking existing queries.
🔹 Caching
REST works very well with HTTP caching mechanisms.
GraphQL caching is more complex and usually handled at the application level.
🔹 Use cases
REST is best for simple CRUD operations and public APIs.
GraphQL is ideal for complex UIs, mobile apps, and data-heavy applications.
👉 Rule to remember:
Simple APIs with strong caching? Choose REST.
Complex data needs with flexible queries? Choose GraphQL.
Save this for interviews 🔖
Follow for more beginner-friendly tech explainers 🚀
[REST API vs GraphQL, REST vs GraphQL interview question, API design comparison, when to use REST API, GraphQL vs REST performance, backend developer interview prep, system design basics]
#RESTAPI #GraphQL #BackendDevelopment #APIDesign #TechInterviews LearnBackend less
@webuniverse02
✨ #Graphql発見ガイド
Instagramには#Graphqlの下に91K件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
ログインせずに最新の#Graphqlコンテンツを発見しましょう。このタグの下で最も印象的なリール、特に@rajan.techie, @arjay_the_dev and @tembrasdevからのものは、大きな注目を集めています。
#Graphqlで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @rajan.techie, @arjay_the_dev, @tembrasdevなどがコミュニティをリード
#Graphqlについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Graphqlのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均138.7K回の再生（平均の1.6倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
🔥 #Graphqlは着実な成長を示す - 一貫して投稿してプレゼンスを構築
📹 #Graphqlには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✨ 多くの認証済みクリエイターが活動中（33%） - コンテンツスタイルを研究
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長690文字
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