188
ITAPI Resources aka data transformers and why they’re crucial for software projects #api #database #coding
@itsdevdaniel
#Graphapi
世界中の人々によるGraphapiに関する件のリール動画を視聴。
ログインせずに匿名で視聴。
トレンドリール
(12)
151
RAHeadline: Ever wondered how different systems actually "talk" to each other? 🤖💬
APIs are the unsung heroes of the digital world. But not all APIs are created equal! Depending on the security needs, data structure, and who needs access, developers choose between three main categories:
🌐 Open APIs: Publicly available for external developers (e.g., fetching weather data via REST or complex GitHub stats via GraphQL).
🔒 Internal APIs: The backbone of your private infrastructure, handling everything from frontend-to-backend requests to direct database service queries.
🤝 Partner APIs: Shared between specific strategic partners, like integrating hotel bookings or managing affiliate commission tracking.
Whether you're building a simple login system or a massive B2B payment gateway, choosing the right API type is step one.
Which one do you use most in your current project? Let’s discuss in the comments! 👇
#SoftwareDevelopment #API #WebDev #CodingLife #BackendDeveloper #FullStack #SystemDesign #TechEducation #RESTAPI #GraphQL
@raghoothamvkalkeri
6.9K
SUYour API returns 1 million records�Should you return everything at once?�No — that would crash your system�This is why APIs use pagination
Returning 1 million records in one response is bad because:�it’s slow�uses too much memory�and crashes clients and servers
So we split data into smaller chunks using pagination.
The simplest method is offset-based pagination.
Example:�‘Give me 10 records starting from position 20
But offset pagination has problems
If new data is added�you may get duplicate or missing records
It also becomes slow for large datasets
So large systems use cursor-based pagination
Instead of position,�the API uses a cursor like the last record ID
Example:�‘Give me records after ID 100.’
This is faster and more reliable.
Another important rule is stable sorting.
Always sort by a fixed field like ID or timestamp�so results are consistent.
Finally, return only required fields,�not entire database records.
In simple words:�Use pagination, cursor-based navigation, stable sorting,�and return only needed data
@sujan.codes
134
TECommon API architecture styles every developer should know.
SOAP
REST
GraphQL
gRPC
WebSocket
Webhook
MQTT
AMQP
Each solves a different problem.
Save this for later.
#api #apiarchitecture #technologyknowledge #developer #follower
@technologyknowledgee
271
MHGraphQL: https://www.instagram.com/reel/DVTon8Ok2FD/
Every API is simply a different answer to one core question: How should the client talk to the server?
Understanding the differences is essential for backend engineers, DevOps professionals, and system design learners.
• REST – Simple, stateless, and widely adopted. Ideal for most web and mobile applications.
• SOAP – Structured, contract-driven, and highly secure. Best for financial and enterprise systems.
• gRPC – High-performance, low-latency communication using Protocol Buffers. Built for microservices.
• GraphQL – Client-controlled queries. Fetch exactly what you need with a single endpoint.
The right architecture decision depends on speed, control, scalability, and business requirements.
Mastering these API types strengthens your system design foundation and makes you industry-ready.
Save this for your backend fundamentals.
Share it with someone learning system design.
#api #tech #restapi #systemdesign #graphql
@mhrithikk
219
CO🧿 API Architecture Styles - Part 1
APIs come in different styles, each designed for specific use cases. Here’s a quick overview of six common API architectures:
🔹 SOAP – XML-based protocol with strict standards for security and reliability.
🔹 REST – Stateless API style using HTTP methods and resources.
🔹 GraphQL – Clients request exactly the data they need, reducing over-fetching.
🔹 gRPC – High-performance RPC framework using Protocol Buffers.
🔹 WebSocket – Enables real-time, bidirectional communication over a single connection.
🔹 Webhook – Server sends real-time HTTP callbacks to notify clients of events.
🫰 Tap By Your Holy Fingers
❤️ Join For More - https://t.me/addlist/zvD9wng0mJFlNTk1
@codelessdaily
125
SA🚀 Decoding API Architecture: 6 Essential Styles Every Developer Should Know
APIs power the digital world, but choosing the right architecture matters. From simple web services to high-performance microservices and real-time communication, each API style solves a different problem.
🔹 REST – Simple, stateless communication using HTTP
🔹 GraphQL – Flexible queries to fetch exactly the data you need
🔹 SOAP – Secure, structured APIs used in enterprise systems
🔹 gRPC – High-speed communication for microservices
🔹 WebSocket – Real-time, bi-directional data exchange
🔹 Webhook – Event-driven notifications between systems
Understanding these styles helps architects and developers build scalable, efficient, and reliable systems.
💡 The key question isn’t which API is best — it’s which API fits your use case.
#API #SoftwareArchitecture #BackendDevelopment #Microservices #WebDevelopment TechLearning
@saascodes
12.4K
CLFollow @cloud_x_berry for more info
#APITypes #APIDesign #BackendDevelopment #WebServices #SoftwareArchitecture
REST API, SOAP API, GraphQL API, gRPC API, WebSocket API, OpenAPI specification, public APIs, private APIs, partner APIs, internal APIs, synchronous APIs, asynchronous APIs, RPC protocol, HTTP APIs, event driven APIs, streaming APIs, API versioning, API security, API gateway, microservices communication
@cloud_x_berry
127
KNDocument API redirect behavior explicitly - status codes, headers, and expected flows.
#apiautomation #softwaretesting
@knowillence
171
MU𝐇𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧 𝐀𝐏𝐈 𝐭𝐡𝐚𝐭 𝐬𝐮𝐫𝐯𝐢𝐯𝐞 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐨𝐟 𝐫𝐞𝐪𝐮𝐞𝐬𝐭𝐬 𝐩𝐞𝐫 𝐬𝐞𝐜𝐨𝐧𝐝 ? 👉 Such a design of API requires a layered and distributed architecture . Let’s see the strategies involved : 1️⃣ Use multi tier layered caching mechanism : ➡️Edge CDN for static or global data ➡️Redis clusters for dynamic user data ➡️It slashes DB load by 90 percent and above. 2️⃣ Use Horizontal auto scaling plus global load balancer : ➡️ Run stateless services in ECS across regions ➡️ Balance load using Nginx or AWS global accelarator. ➡️ This distribute load dynamically and prevent single point of failure. 3️⃣ Use Sharding and replicated nosql storage : ➡️ Use partition data using consistent hashing in Cassandra or dynamodb. ➡️ Apply multi master replication and read replicas ➡️ It scales writes in linear fashion to millions per second by parallelising across shards. 4️⃣ Use advanced rate limiting : ➡️ Apply distributed token bucket per API key or IP. ➡️ Use circuit brakers ➡️ They throttle abuser and isolate faulty downstreams
#SystemDesign #BackendDevelopment #SoftwareEngineering #Scalability #CodingTips TechArchitecture API CloudComputing DevOps
@muhammad_awais_safdar
132
RA⚡ If you understand these API concepts, you understand modern backend systems.
From REST & GraphQL to rate limiting, caching, auth, and versioning — these are the fundamentals every developer should know 🚀
💡 Great systems aren’t built with code alone…
they’re built with good API design.
Save this — you’ll need it more than you think ✅
CC: Original creator 🙌
#APIs #BackendDevelopment #SystemDesign #SoftwareEngineering #TechLearning Developers Coding TechExplained Programming
@ravenaonai
10.8K
SUWhat if 1 million users request the same API at the same time?�Without caching, your database would crash.
�This is why APIs use caching.”
“Let’s start from the basics.
When a client requests data,
�the server usually fetches it from the database.
But database calls are slow and expensive.
If thousands of users request the same data,�the server would repeatedly hit the database.
To solve this, APIs use caching.
Here’s how it works.
Step 1: Client sends a request.
Step 2: Server first checks the cache.
If data exists in cache → return it immediately.
If not → fetch data from database,
�store it in cache, and return it.
Now future requests are served from cache,�not the database.
This makes APIs:�faster�reduces database load�improves scalability
Cache is usually stored in systems like Redis.
In simple words:�API caching stores frequently requested data�so the server doesn’t query the database every time.
@sujan.codes
✨ #Graphapi発見ガイド
Instagramには#Graphapiの下にthousands of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#Graphapi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@cloud_x_berry, @sujan.codes and @mhrithikkからのものは、大きな注目を集めています。
#Graphapi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: @cloud_x_berry, @sujan.codes, @mhrithikkなどがコミュニティをリード
#Graphapi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#Graphapi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7.6K回の再生（平均の2.9倍）
ピーク時間（11-13時、19-21時）とトレンド形式に注目
コンテンツ作成のヒントと戦略
🔥 #Graphapiは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
📹 #Graphapi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
✍️ 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681文字
#Graphapi に関連する人気検索
🎬動画愛好家向け
Graphapi ReelsGraphapi動画を見る
📈戦略探求者向け
Graphapiトレンドハッシュタグ最高のGraphapiハッシュタグ
🌟もっと探索
Graphapiを探索