225.0K
TIWait you’re telling me serverless computing still uses servers?!
Let’s break down in this video what is serverless computing so you never forget it in an interview or meetings!
#tech #technology #developer #stem
@tiffintech
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NEServerless Computing explained by Peter Griffin while Donald Trump tries to keep up 🤯🍕 If you're tired of boring tech explanations, this is your cloud fix with a side of laughter. 👇 Drop a 😂 if this made serverless finally make sense! 🎥 Follow @technest__official for more tech explained in the funniest way possible! #awslearning #devops #nocodeit #AWSwithpeter #techreels #learnwithfun #cloudcomputing #petergriffin #donaldtrump
@nextgenit__official
4.7K
CLWhat Exactly is Serverless?
#Serverless #ServerlessComputing #CloudNative #FaaS #CloudArchitecture
serverless architecture, AWS Lambda, Azure Functions, Google Cloud Functions, event-driven computing, functions as a service, auto scaling, pay per execution, stateless functions, API Gateway, serverless workflows, triggers and events, cold starts, monitoring and logging, security best practices, serverless databases, cloud messaging, microservices, cost optimization
@cloud_x_berry
577.6K
ERCloud simply stands for: “Say goodbye to bulky servers and hello to cloud computing! 🌥️💻 Access your data and applications from anywhere with just an internet connection.” #cloudcomputing #techrevolution
@errormakesclever
119.3K
ALTypes of Cloud
IaaS, PaaS, serverless, and SaaS are all cloud computing service models that offer different levels of abstraction from the underlying infrastructure.
Infrastructure as a Service (IaaS) provides access to virtualized compute, storage, and networking resources. This is the most basic cloud service model, and it gives you the most control over your infrastructure.
Platform as a Service (PaaS) provides a development environment that includes pre-configured tools and services. This makes it easier to develop and deploy applications without having to worry about the underlying infrastructure.
Serverless computing is a newer cloud service model that allows you to run code without having to manage servers. This is the most hands-off cloud service model, and it can be a good choice for applications that are event-driven or have unpredictable traffic patterns.
Software as a Service (SaaS) provides access to ready-made applications that are hosted in the cloud. This is the most convenient cloud service model, and it can be a good choice for applications that do not require customization.
Here are some examples of each cloud service model:
IaaS: Amazon Web Services (AWS) Elastic Compute Cloud (EC2), Microsoft Azure Virtual Machines (VMs), Google Cloud Platform (GCP) Compute Engine
PaaS: AWS Elastic Beanstalk, Microsoft Azure App Service, Google App Engine
Serverless computing: AWS Lambda, Azure Functions, Google Cloud Functions
SaaS: Salesforce, Microsoft Office 365, Google G Suite
#devops #devopsengineer #aws #developer #programming #git #github #freshers #softwareengineer #softwaredeveloper #coding #cloudcomputing #udemy #dns #networking #docker #kubernetes
@alden.social
659.3K
EPBuilding a free homelab and server
@epro.grams
545
ANIf you want the full beginner roadmap that I wish I had, comment “Roadmap” and I will send it to you.
#anmutetech
#cloudcomputing
#devops
#aws
#beginnerroadmap
@anmute_tech
262
DECloud computing isn’t one-size-fits-all. If you’re on AWS, you’ve probably had to choose between EC2 and Lambda at some point.
💻 EC2 gives you that full control over virtual servers, perfect when you’re running heavy workloads or dealing with custom and legacy apps.
⚡ Lambda is the easy button. Just run your code and AWS handles the rest. It scales automatically and works great for event driven apps, microservices, or short quick tasks.
Both have their strengths. The real question is, which one fits better with the kind of projects you’re building?
#aws #cloudcomputing #devopseasylearning #serverless #ec2 #lambda #learncloud #techcommunity
@devopseasylearn
761.8K
CHHandling 1 Million RPS isn’t about code — it’s about smart architecture.
1️⃣ Traffic Distribution (Load Balancers)
➡️ Spreads incoming requests across many servers so nothing overloads.
Example: 1M requests split across 200 servers = ~5K requests per server.
⸻
2️⃣ Scale Out, Not Up (Horizontal Scaling)
➡️ Add more machines instead of making one server bigger.
Example: Flash sale traffic? Instantly launch 50 new API instances.
⸻
3️⃣ Fast Reads with Cache
➡️ Use Redis/Memcached to avoid hitting the database every time.
Example: Cached user data = millions of DB calls saved daily.
⸻
4️⃣ Edge Delivery with CDN
➡️ Static content loads from servers closest to the user.
Example: Users in Delhi fetch images from a Delhi CDN node.
⸻
5️⃣ Background Work with Queues
➡️ Heavy tasks run asynchronously so APIs respond instantly.
Example: Payment succeeds now, email receipt sent in background.
⸻
6️⃣ Split the Database (Sharding)
➡️ Divide data across multiple databases to handle scale.
Example: Usernames A–M on one shard, N–Z on another.
⸻
7️⃣ Rate Limiting
➡️ Prevent abuse and traffic spikes from taking the system down.
Example: Limit clients to 100 requests/sec to block bots from killing the API.
⸻
8️⃣ Lightweights Payloads
➡️ Smaller payloads = faster responses + less bandwidth.
Example: Send only required fields instead of massive JSON blobs.
Please follow for more such videos🙏
#systemdesign #softwaredevelopers #programming #tech #interview
[API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]
@chhavi_maheshwari_
65.4K
MAI dont know if you guys can hear the sickness 🤒. This was how to deploy your webapp! Follow along the journey for more CS related content!
@madhubyte
56
ASAWS Lambda is a serverless computing service that lets you run code without provisioning or managing servers. It has become a cornerstone of modern cloud architecture because it shifts the focus from "keeping the lights on" to "building the product."
Think of it like a utility company: you don't build a power plant to turn on a lightbulb; you just flip the switch and pay for the electricity you use.
#awslambada
#awsdeveopstraininginjalandhar
#awsdevopstraininginhydrabd
#awsdevopstraininginbangalore
@askdbaspprt24bar7
5.7K
THWhen input size grows,
not all algorithms survive.
Let’s break it down properly 👇
🟢 O(n log n)
Divide the problem (log n levels)
Process all elements at each level (n)
Total work = n × log n
Scales well. Used in Merge Sort, Heap Sort.
Efficient for large datasets.
🟡 O(n²)
Nested loops.
Every element compares with every element.
n × n operations.
Works fine for small inputs.
Becomes slow quickly.
🔴 O(2ⁿ)
Each step doubles the work.
Recursive branching → explosion.
Even n = 20
= 1,048,576 operations.
Not scalable.
💡 Real Lesson:
Smart developers
analyze complexity
before writing code.
Save this for interviews.
#viralreels #viralvideos #reels #instagood #dsa
@theknowledgespectrum
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