#Caching

RAG vs. CAG, explained visually for AI engineers 🧠 (with must-know design considerations) RAG changed how we build knowledge-grounded systems, but it still has a weakness. Every time a query comes in, the model often re-fetches the same context from the vector DB, which can be expensive, redundant, and slow. Cache-Augmented Generation (CAG) fixes this. It lets the model "remember" stable information by caching it directly in the model's key-value memory. And you can take it one step ahead by fusing RAG and CAG. Here's how it works: → In regular RAG setup: Query goes to vector database, retrieves relevant chunks, feeds to LLM → In RAG + CAG: You divide knowledge into two layers: • Static rarely changing data (company policies, reference guides) gets cached in model's KV memory • Dynamic frequently updated data (recent customer interactions, live documents) continues via retrieval This way, the model doesn't reprocess the same static information every time. It uses cache instantly and supplements with new data via retrieval for faster inference. The key: Be selective about what you cache. Only include stable, high-value knowledge that doesn't change often. If you cache everything, you'll hit context limits. Separating "cold" (cacheable) and "hot" (retrievable) data keeps this system reliable. You can see this in practice - many APIs like OpenAI and Anthropic already support prompt caching. 👉 Over to you: Have you ever used CAG? #ai #rag #caching

Comment “blog” & I’ll share the blog link & my notes with you in your DM 🤝🏻 (Make sure to follow else automation won’t work) Topic: Caching Strategies Save for your future interviews 📩 #dsa #systemdesign #tech #coding #codinglife #caching [dsa, system design, caching strategies, tech]

1 Million RPS isn't about code, it's about architecture. Here are the 8 key layers to scale your API architecture. Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio 1️⃣ Load Balancer 👉 Distributes traffic across multiple servers so no single machine melts. Example: 1M req/s split across 200 servers = only 5k req/s each. ⸻ 2️⃣ Horizontal Scaling 👉 Add more servers when traffic spikes instead of upgrading one big server. Example: Black Friday? Spin up 50 more API nodes in seconds. ⸻ 3️⃣ Caching Layer 👉 Serve frequent reads from Redis/Memcached to avoid DB overload. Example: User profile cached → avoids 10M database hits/day. ⸻ 4️⃣ CDN for Static Content 👉 Images and static assets load from edge servers near the user. Example: A user in Delhi gets images from a Delhi CDN node. ⸻ 5️⃣ Async Processing (Queues) 👉 Push heavy tasks to Kafka/SQS so API responds instantly. Example: Payment API returns fast → receipt email sent in background. ⸻ 6️⃣ Database Sharding 👉 Split huge datasets across multiple DB shards to scale reads/writes. Example: Users A–M on shard 1, N–Z on shard 2. ⸻ 7️⃣ Rate Limiting 👉 Block or throttle abusive clients to protect server capacity. Example: “100 requests/sec limit” prevents bots from killing the API. ⸻ 8️⃣ Lightweight Payloads 👉 Reduce JSON response size to cut latency and bandwidth. Example: Return only “id, name, price” instead of 20 unnecessary fields. #systemdesign #apidesign #scaling #1millionrps #distributedsystems #loadbalancing #caching #microservices #softwaredeveloper #programming #coding #devops #tech #backenddeveloper #backenddevelopment #api #interviews #database #learninganddevelopment #tech [API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]

Types of caching 🙌🏻 #systemdesigninterview #coding #code #google #ai

Caching = storing data closer to users or servers so your app doesn’t re-fetch Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio Here’s where to cache 👇 ⸻ 1️⃣ Browser Cache (client-side) Store static assets like HTML, CSS, JS, or images directly in the user’s browser. 👉 Your logo or CSS loads instantly on revisit. (Uses HTTP cache headers, LocalStorage, SessionStorage, IndexedDB) ⸻ 2️⃣ CDN (Content Delivery Network) Cache static content like images, videos, and scripts on global edge servers. 👉 A user in India gets content from a nearby server — faster load time. (Cloudflare, AWS CloudFront, Akamai, Fastly) ⸻ 3️⃣ Application Cache (Server/Api Layer) Store API responses or computed data in memory so the backend doesn’t reprocess the same request. 👉 A popular homepage API is served instantly from memory. (Redis, Memcached, Express Cache, Spring Cache) ⸻ 4️⃣ Database Cache Cache results of frequent or heavy queries to reduce load on your DB. 👉 Caching "Total active users" count for a few minutes. (Redis, PostgreSQL pgpool, Hibernate 2nd-level cache) ⸻ 5️⃣ Reverse Proxy / Edge Cache Cache entire web pages or API responses before they hit your servers. 👉 The proxy returns a ready response without waking your backend. (Nginx, Varnish, HAProxy, AWS API Gateway Cache) ⸻ 💡 Interview Tip: Say this — “I’d use CDN for static assets, Redis for dynamic content, and browser caching for instant reloads.” ### Like and follow for more #SystemDesign #Caching #BackendEngineering #WebPerformance #CDN #techinterview #FrontendOptimization #ScalableSystems #TechReels #WebDevelopment #SoftwareEngineering #BackendDeveloper #TechEducation #ProgrammingTips #LearnSystemDesign #Microservices #DatabaseDesign #mission_compile (caching strategies, web performance, API optimization, CDN caching, Redis cache, backend performance, frontend optimization, system design for interviews, distributed caching, load balancing, HTTP cache, browser cache, database caching, Redis vs Memcached, scaling web apps, backend engineering)

🚨 Most developers don’t know how caching works in production! Here’s the Complete Caching Deep Dive you need before your next interview 👇 What’s covered in : What is Caching & Why it’s Critical Where Cache Exists in Architecture Types of Cache (Client, CDN, App, DB) Read Strategies (Cache Aside, Read Through) Write Strategies (Write Through, Around, Back) Cache Eviction Policies Overview Real Production Numbers: ❌ Without Cache → 600ms response ✅ With Cache → 4ms response ⚡ 📊 1M requests → Only 1 DB query! This is exactly how Netflix, Amazon and Uber handle millions of requests every single second. Part 2 Coming Soon 🔜 → Real Production Flow → How Big Companies Use Cache → Cache Problems in Production → Top Interview Questions + Answers → Eviction Policies Deep Dive 💾 Comment “CACHE” below ⬇️ I’ll DM you the complete PDF for FREE! Includes all strategies + algorithms + examples Save this post 🔖 Follow @CodeEra for daily System Design content 🚀 #systemdesign #caching #redis #backend #java interviewprep softwaredeveloper distributedsystems microservices coding programming backend systemdesign java scalability microservices interviewquestions softwareengineer techindia developers production

🚀 All systems are go! This geocache is ready for liftoff! 🚀 Which cache will you find this weekend? 👇 Video by @geheimpunkt.de. Video: A geocacher approaches a wooden pole. The face of the pole has a metal latch that allows the geocacher to open a door and view the pole’s mostly hollow inside. The door has a label which reads, “Please pull the golf ball straight down and release,” in German. The geocacher follows the instructions, and the camera cuts to a slow-motion shot of a small geocache container as it flies from the top of the pole. The container lands in the grass below. #geocaching #geocache #germany #deutschland #hanover #hannover #geocachinggermany #geocachingdeutschland #explore #nature #natur #spring #mechanical #wood #cache #wow #fun #amazing #naturephotography #caching #creative #incredible #DIY #urban #adventure #wanderlust #travel #geocachingadventure #ilovegeocaching #nospoiler

Caching = Storing data so that it can be fetched much faster next time. Comment “pdf” for detailed notes on caching. ✅ 1. Browser-Side Caching (Client Cache) What it is: Store static assets (JS, CSS, images) in the user’s browser so future visits load instantly. Why: Reduces repeat network requests and speeds up subsequent page loads. ✅ 2. CDN Layer Caching (Edge Caching) What it is: CDN caches your static content near users (Cloudflare, Azure Front Door). Why: Cuts round‑trip latency drastically and reduces load on your servers. ✅ 3. Application-Level Caching What it is: Stores API response or computed data in memory so that backend doesn’t process the same request again. Types: • In-memory (fastest, per node) • Distributed (Redis, Memcached) ✅ 4. Database Query Caching What it is: Cache results of heavy joins or repeated queries. Why: Minimizes DB load and speeds up dynamic content. ✅ 5. Reverse Proxy / Gateway Caching (Nginx Level) What it is: A gateway layer caches responses before they hit your backend. Why: Protect backend from repetitive load during spikes. (Nginx, AWS API Gateway Cache etc) #systemdesign #tech #interview #caching #career (Caching strategies, API optimisation,Web performance, Cdn cache, Redis , Database Cache, browser cache, scaling web apps, backend engineering)

Caching boosts system efficiency by speeding up access to often-used data. Also cutting down data retrieval from the source, lightens the load, enhancing scalability and reliability. #SCALER #Caching

Caching: https://hazelcast.com/foundations/caching/caching/ #sre #devops #caching #systemdesign #fyp

Read-Through vs Write-Through Cache Explained with Redis Today, we’re going through an important caching strategy used in real backend systems. This video explains Read-Through and Write-Through caching using Redis, showing how data flows between client, server, cache, and database. If you’re preparing for system design interviews or building high-scale APIs, this pattern is a must-know. #systemdesign #redis #caching #backendengineering #distributedystems

Where to Cache? Deciding to use a cache and deciding where to place it are two extremely important decisions. These are some of the things I like to consider before making such a decision. Let me know if y’all agree / disagree and what more questions you would have asked. #coding #programming #csmajors #caching #systemdesign