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#Serverless Reel by @arjay_the_dev (verified account) - Servers vs Serverless There are MANY definitions of "serverless". I generally define serverless as a model where a cloud provider manages all of the
162.3K
AR
@arjay_the_dev
Servers vs Serverless There are MANY definitions of “serverless”. I generally define serverless as a model where a cloud provider manages all of the server infrastructure (hardware, software, scaling). #serverless #cloudcomputing #aws #devops #csmajors
#Serverless Reel by @rushi.says (verified account) - Serverless != No Servers, It just means "Not Your Servers." Most developers think "Serverless" just means saving money. That's only half the truth. T
78.7K
RU
@rushi.says
Serverless != No Servers, It just means "Not Your Servers." Most developers think "Serverless" just means saving money. That’s only half the truth. The real benefit is shifting the responsibility of "uptime" to the cloud provider. Here is the technical breakdown of what actually changes in your architecture: 1. Compute: EC2 vs. Lambda The Old Way (EC2): You pay for "Capacity." If you rent a server for 24 hours but only get traffic for 2 hours, you wasted money on the other 22 hours. You also have to patch the OS. The Serverless Way (Lambda): You pay for "Execution." If your code runs for 200ms, you pay for exactly 200ms. ⚠️ The Catch: Cold Starts. If your function hasn’t run in a while, AWS needs to spin up a container. This adds latency (sometimes 100ms - 2s). For super low-latency apps, this can be a problem. 2. Storage: EBS vs. S3 The Old Way (EBS): This is Block Storage. It's like a hard drive attached to your computer. You pay for the size of the disk (e.g., 500GB), even if it's empty. The Serverless Way (S3): This is Object Storage. You pay only for the storage used and the API requests (GET/PUT) to access it. 3. Database: RDS vs. DynamoDB The Old Way (RDS): Even when idle, the database instance is running. You pay an hourly rate for the CPU and RAM. The Serverless Way (DynamoDB On-Demand): You pay per Read/Write unit. ⚠️ The Catch: Cost at Scale. Serverless databases are cheap for low to medium traffic. But if you have massive, constant throughput (millions of requests per hour), a provisioned server (like RDS or DynamoDB Provisioned Mode) is often mathematically cheaper than Serverless On-Demand. The Verdict? Go Serverless for variable traffic, startups, and background tasks. Stick to provisioned servers for sustained, predictable high loads. #softwareengineering #aws #serverless #lambda #cloudcomputing
#Serverless Reel by @awsdevelopers (verified account) - What AWS services do you think are underrated? 🤔 With over 200 services to explore, we asked developers what their favorite hidden gems are 💎 Servi
5.1K
AW
@awsdevelopers
What AWS services do you think are underrated? 🤔 With over 200 services to explore, we asked developers what their favorite hidden gems are 💎 Services highlighted include: ⭐️ AWS Systems Manager 📝 Amazon Textract 👥 AWS Identity and Access Management (IAM) ⚡️ Amazon EventBridge 🔐 Amazon Cognito Do you agree? Let us know in the comments which underrated AWS services are your favorites and why ⬇️ Explore all the AWS services with the link in bio 🔗 Follow @awsdevelopers for more ☁️ cloud content! ————————— Tags 🏷 #AWS #Tech #Cloudcomputing #Developer #Developers #Serverless
#Serverless Reel by @awsdevelopers (verified account) - ✨ How fast can a common Lambda function go? ⏩ Luca shares tips that helped him improve Lambda Warm ☀️ Start Speed by 95%! 🚀🤩 🔗 Tap the link in bio
3.5K
AW
@awsdevelopers
✨ How fast can a common Lambda function go? ⏩ Luca shares tips that helped him improve Lambda Warm ☀️ Start Speed by 95%! 🚀🤩 🔗 Tap the link in bio for pro-tips on how to optimize the start speed of your Lambda functions! 🌐📚 🥶 What are cold starts? 🥶 When AWS Lambda gets a request, it kicks off a process to get your function ready, called an "execution environment." 🔄 “Execution Environment” process: 1. Downloading Code: Grabs your function's code from S3 or Amazon ECR 📦 2. Environment Setup: Creates a space with the right memory, runtime, & settings 🛠️ 🚀 This prep work — from code download to environment creation — is referred to as “cold start", adding some latency to the first run but not costing you extra. 🕒 📊 According to an analysis of production Lambda workloads, cold starts typically occur in under 1% of invocations. This is where performance tuning, effective architecture design, & the implementation of best practices and tools come into play — allowing you to fully leverage the capabilities of AWS Lambda! Follow @awsdevelopers for more cloud content. ————————— Tags 🏷 #AWS #CloudComputing #Tech #serverless #Developers #SolutionsArchitect
#Serverless Reel by @anupinders (verified account) - If you're still managing servers manually - you're probably wasting your time. #AWS Lambda is a #serverless compute service. That means - you just wr
1.8K
AN
@anupinders
If you’re still managing servers manually — you’re probably wasting your time. #AWS Lambda is a #serverless compute service. That means — you just write your code. Server setup, scaling, maintenance — AWS takes care of all of it. Lambda is event-driven. When something happens, Lambda runs. For example: A user submits a form — Lambda runs. An image gets uploaded — Lambda runs. An API request comes in — Lambda runs. And here’s the best part: When Lambda isn’t running, you’re not paying for it. It’s a pay-per-use model. That makes it perfect for: startups, #microservices, and teams that want to spend less time on infrastructure and more time building products. To learn more, join my Whatsapp community using https://social.anupinder.com/learnaws
#Serverless Reel by @kodekloud (verified account) - "📢 One Event, Multiple Consumers? Use Fan-Out! 🚀 #shorts The Scenario: One order is placed, but four systems (Shipping, Inventory, Analytics, Email
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@kodekloud
"📢 One Event, Multiple Consumers? Use Fan-Out! 🚀 #shorts The Scenario: One order is placed, but four systems (Shipping, Inventory, Analytics, Email) must be notified immediately. The Challenge: 1. Loose Coupling: Systems must not block each other. 2. Independent Scaling: Each system processes at different speeds. 3. Resiliency: One system's failure shouldn't stop the others. The Solution: SNS + SQS Fan-Out Pattern 🎯 - SNS Topic: Acts as the broadcaster. The order service sends one message, and SNS pushes it to all subscribers. - SQS Queues: Each downstream system has its own dedicated queue. This buffers messages so a slow system doesn't lag the entire process. - Fault Tolerance: If the Email service goes down, messages stay safe in its SQS queue while Shipping and Inventory continue normally. Why not a single SQS queue? Because SQS messages are deleted after one consumer pulls them; you need SNS to ""clone"" the message for everyone. Exam Tip: See ""One-to-Many"" or ""Multiple independent consumers""? The answer is SNS + SQS. 🏆 #AWS #SNS #SQS #SolutionsArchitect #SAAC03 #CloudArchitecture #Microservices #EventDriven #Serverless #SystemDesign #DevOps #TechTips #KodeKloud"
#Serverless Reel by @datastreakofficial (verified account) - This case study explains how to build a scalable, event-driven image-to-image diffusion system on AWS using serverless architecture and generative AI.
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DA
@datastreakofficial
This case study explains how to build a scalable, event-driven image-to-image diffusion system on AWS using serverless architecture and generative AI. Users upload images directly to Amazon S3 using pre-signed URLs. An S3 event triggers AWS Lambda, which validates the input and pushes a job to Amazon SQS. A worker Lambda then calls a real-time image-to-image diffusion model hosted on Amazon SageMaker, stores the generated image back to S3, logs processing metadata in DynamoDB, and sends a completion notification via SNS. This architecture is fully asynchronous, fault-tolerant, cost-efficient, and designed to handle high-volume generative AI workloads in production. #aws #generativeai #systemdesign #sagemaker #serverless
#Serverless Reel by @awsdevelopers (verified account) - 🤔 What real-world applications can lie behind a simple AWS architecture? We asked developers to share their ideas! Looking at a simple architecture
27.3M
AW
@awsdevelopers
🤔 What real-world applications can lie behind a simple AWS architecture? We asked developers to share their ideas! Looking at a simple architecture with: 🔐 API Gateway ⚡️ Lambda functions 📊 DynamoDB Their creative responses? From weather alert apps to scalable solutions that are: ✨ Secure 💰 Cost-efficient 🎯 Reliable 🚀 Built to scale What would you build with this architecture? Share your ideas below! 👇 Follow @awsdevelopers for more cloud content. ————————— 🏷 #AWS #CloudComputing #AWSArchitecture #Serverless #TechCommunity
#Serverless Reel by @frontendmasters - Benefits of Serverless Frontend Apps: Cost Savings and Scalability 💰 Learn more in our "Introduction to Backend Architectures" course #Fullstack #Bac
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FR
@frontendmasters
Benefits of Serverless Frontend Apps: Cost Savings and Scalability 💰 Learn more in our "Introduction to Backend Architectures" course #Fullstack #Backend #WebDev #Programming #Coding #LearnToCode #Serverless #AWS #CloudArchitecture #Scalability #WebArchitecture
#Serverless Reel by @code.with.ahsan (verified account) - Localhost vs. Cloudways: The BEST Way to Deploy n8n App! Why can't you just run your production n8n automations on your local machine? We break down
844
CO
@code.with.ahsan
Localhost vs. Cloudways: The BEST Way to Deploy n8n App! Why can't you just run your production n8n automations on your local machine? We break down the critical limitations of localhost—from downtime and webhook issues to scalability problems—and show why a cloud deployment is the only way to run a serious, 24/7 automation business. Watch the entire n8n tutorial here: https://www.youtube.com/watch?v=8ZM-1DYeQpk&t=31s Get the free n8n template (with setup instructions): https://codewithahsan.gumroad.com/l/n8n-saas-onboarding-basic . . . #n8nTutorial #Production #WorkflowAutomation #CloudHosting #TechTips #Cloudways #n8n #Automation #Webhooks #Serverless #AgenticAI
#Serverless Reel by @cloudblitz.in - AWS - Cloud Computing Simplified 🚀 Run your apps, store data, scale instantly - no servers, no maintenance headaches. Just freedom, flexibility & sma
213.6K
CL
@cloudblitz.in
AWS – Cloud Computing Simplified 🚀 Run your apps, store data, scale instantly — no servers, no maintenance headaches. Just freedom, flexibility & smart pay-as-you-go. 🔥 ✨ Step into the cloud with CloudBlitz — where tech meets simplicity! 📞 +91 9834887259 | 🌐 www.cloudblitz.in {AWS, Cloud Computing, Cloud Deployment, Scalability, Flexibility, Storage, Database, Pay-As-You-Go, Serverless, Cloud Power, Infrastructure, Digital Transformation, Automation, Continuous Delivery, DevOps, Cloud Services, Tech Simplified, Future Skills, LearnWithUs, CloudBlitz} #explorepage #fyp#fypreels #fypage #viralreels #reelsinstagram #AWS #CloudComputing #CloudPower #Scalability #Flexibility #Serverless #DevOps #CloudBlitz #TechSimplified #FutureSkills #LearnWithUs#tech
#Serverless Reel by @web.dev.george - 💸 Your servers are taking paid naps - move the work to the edge and keep the cash. 1️⃣ Spin up a Cloudflare Worker (first 100 k reqs = free). 2️⃣ Add
10.7K
WE
@web.dev.george
💸 Your servers are taking paid naps — move the work to the edge and keep the cash. 1️⃣ Spin up a Cloudflare Worker (first 100 k reqs = free). 2️⃣ Add a cache-first wrapper — 95 % of hits served from RAM. 3️⃣ Off-load image resizing for <0.5¢ a pop. Latency’s now slimmer than Adele’s post-glow-up. ✨ Team Edge 🌍 or Team Box 🖥️? Drop your take below & smash Follow for Wednesday’s Docker quiz! #EdgeFunctions #Serverless #WebPerf #DevTips #WebDevPeter

✨ #Serverless発見ガイド

Instagramには#Serverlessの下に131K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。

Instagramの膨大な#Serverlessコレクションには、今日最も魅力的な動画が掲載されています。@awsdevelopers, @cloudblitz.in and @arjay_the_devや他のクリエイティブなプロデューサーからのコンテンツは、世界中で131K件の投稿に達しました。

#Serverless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: @awsdevelopers, @cloudblitz.in, @arjay_the_devなどがコミュニティをリード

#Serverlessについてのよくある質問

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パフォーマンス分析

12リールの分析

✅ 中程度の競争

💡 トップ投稿は平均6.9M回の再生（平均の3.0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

🔥 #Serverless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

📹 #Serverless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（75%） - 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774文字

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Serverlessを探索#serverless computing benefits#pusher serverless functions#serverless architecture#serverless computing#cold start in serverless functions#fn serverless platform#what is serverless architecture#fn project serverless platform features