4.4K
DEAWS Concepts Roadmap #devopsvietnam #devopsvn #devops #devopsengineer #dev #laptrinh #laptrinhvien #tuhoclaptrinh #it #programming #code #softwarengineer #technology #aws #awsroadmap
@devops.vn
#Aws Codepipeline Setup Guide
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29.8K
RAHow to deploy Node.js on AWS?
#backend #coding #engineering #software #techreels #viralreels #engineer #javascript #virals #nodejs ##aws #server #deployment #fyp #reels
@rajan.techie
11.4K
ITComment "Challenge" for access to this entire project guide.
Just make sure to follow first and then search for the 7 day devops challenge once you sign up.
#DevOps
@itsnextwork
1.8K
DA✅ Data Engineering Pipeline on AWS, AZURE, GCP
@dataelevate_engineer
1. Data Ingestion: Collect data via AWS Kinesis, Azure Event Hubs, or GCP Pub/Sub.
2. Data Storage: Store raw data using AWS S3, Azure Data Lake, or GCP Cloud Storage.
3. Data Processing: Process data using AWS EMR, Azure Databricks, or GCP Dataproc.
4. Data Warehousing: Load data into AWS Redshift, Azure Synapse, or GCP BigQuery.
5. Data Visualization: Use AWS QuickSight, Azure Power BI, or GCP Data Studio for insights.
6. Data Orchestration: Automate workflows with AWS Step Functions, Azure Data Factory, or GCP Cloud Composer
#linkedin #career #instagram #singham #engineering #softwaredeveloper #career #learn #learn
#linkedin #CloudComputing #AWS #Azure #GCP #DataEngineering #DataPipeline #MachineLearning #DataScience #tech
@dataelevate_engineer
29.2M
AW#ASMR + #AWS = AWSmr 😉
Let’s build with AWS tools - ASMR style. 🤌 First up: using #AmazonQ Developer in the CLI to create a full blog CMS and frontend.
Here’s are the steps Linda took:
1️⃣ open terminal & type “q chat”
2️⃣ generate a REST API for a multi-user blog CMS with roles & auth
3️⃣ generated the backend API …while making coffee
4️⃣ asked it to add an architecture diagram to the README
5️⃣ to test the API, asked it to spin up a front end that can use just for testing
6️⃣ promoted it to build a decoupled blog frontend in Next.js that uses the API
7️⃣ Used the agent to provide deployment options and once I decided it handled the deployment for me
You can download the Q dev agent in the CLI for free via the link in bio 🔗
@awsdevelopers
15.1K
LE✅️ Data Pipelines on AWS, Microsoft Azure and GCP
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Don't forget to save this post for later and follow @learnwithrockybhatia for more such information.
.
Hashtags ⬇️
#computerscience
#programmers #html5
#css3 #javascriptdeveloper
#webdevelopers #webdev
#developerlife #coders
#softwaredevelopment #python3
#pythondeveloper #devops #internetofthings #http
#https #datascientist #database #systemdesign
@learnwithrockybhatia
15.5K
RUIf you’re building on AWS, the API Gateway is your most powerful tool for decoupling your frontend from your backend logic. But most developers miss the features that actually save money and improve performance.
Here is the technical breakdown of what’s happening under the hood:
🔹 REST vs. HTTP vs. WebSockets Don't choose REST by default. HTTP APIs are up to 71% cheaper and offer lower latency.
Use REST APIs only if you need API Keys, per-client throttling, or Private VPC endpoints. Use WebSockets for stateful, real-time duplex communication.
🔹 The Auth Layer Security happens at the edge, not in your code.
Cognito/JWT: Native integration for user pools.
Lambda Authorizers: For custom logic (e.g., checking a database or 3rd party token).
IAM: For internal AWS-to-AWS communication.
🔹 Traffic Shaping (Token Bucket Algorithm) Protect your downstream services. API Gateway uses the Token Bucket Algorithm to handle:
Rate: Constant requests per second.
Burst: Short-term spikes.
Usage Plans: Essential for SaaS—assign quotas (e.g., 5k calls/month) to specific API Keys.
🔹 The "No-Lambda" Architecture (Pro Tip) 💡 You don’t always need a Lambda function. You can use VTL (Velocity Template Language) to map an incoming HTTP request directly to an AWS Service. Example: Client -> API Gateway -> DynamoDB. This bypasses Lambda entirely, eliminating cold starts and reducing execution costs.
🔹 Reliability & Deployment
Canary Deployments: Route a percentage of traffic (e.g., 5%) to a new version to test in prod safely.
Caching: Reduce backend load by caching responses at the stage level for a specified TTL.
The Absolute Truth: If you’re just using it to trigger a Lambda,
you’re underutilizing the service.
Use the Gateway for validation, transformation, and security to keep your business logic clean.
#AWS #Serverless #CloudArchitecture #SoftwareEngineering #SystemDesign
@rushi.says
7.4K
NAHow to Install Terraform on AWS EC2 | Step-by-Step Practical Demo for Beginners
👋 Welcome to Naresh I Technologies!
In this video, Raham gives you a step-by-step hands-on demo of installing Terraform on an AWS EC2 instance using Amazon Linux 2 AMI.
💡 Whether you're installing Terraform on your local system or the cloud, the steps are nearly the same — and this video will show you how it’s done with clarity and confidence.
🎯 What You’ll Learn:
✅ Creating an EC2 instance on AWS
✅ Choosing AMI, key pair, instance type & security group
✅ Accessing EC2 & running Terraform installation commands
✅ Navigating the terraform.io site for OS-specific commands
✅ Verifying successful installation on cloud terminal
🧪 This video is part of the Terraform Certification series — ideal for both beginners and DevOps engineers preparing for infrastructure automation roles.
📞 Call: +91 8179191999
🌐 Visit: www.nareshit.com
Follow this link to Join Terraform WhatsApp community:
https://chat.whatsapp.com/DPmJzH59u0r...
📺 Subscribe on YouTube: @nareshit
📱 Follow on Instagram: @nareshitech
💬 Comment “Terraform Setup” to get the entire certification playlist
#Terraform #DevOps #AWS #NareshIT #TerraformInstallation #EC2 #InfrastructureAsCode #CloudComputing #DevOpsTraining #TerraformOnCloud
@nareshitech
4.8K
WEAmazon Web Services (AWS) offers a comprehensive suite of on-demand cloud computing services—compute power, storage, databases, AI/ML, and more—enabling businesses to innovate faster, scale globally, and reduce costs. Whether you’re a startup or an enterprise, AWS Cloud delivers the tools you need to build secure, reliable, and high-performance applications.
Hashtags:
#AWS #AWSCloud #CloudComputing #CloudInfrastructure #Serverless #DevOps #AI #MachineLearning #BigData #CyberSecurity #DigitalTransformation #CloudArchitecture #TechInnovation #wemastersteam
@wemastersteam
1.9K
IAThere are MANY ways to get Moltbot/clawdbot up and running. I’ve got a list of them + links to the guides on my site. Whatever you do don’t just install on your main computer! #clawdbot #learnai #aiautomation #artificialintelligence
@iamkylebalmer
18.2K
LEData Pipelines on AWS, Azure and GCP !
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Don't forget to save this post for later and follow @learnwithrockybhatia and @learntechwithrocky for more such information.
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Hashtags ⬇️
#computerscience
#programmers #html5
#css3 #javascriptdeveloper
#webdevelopers #webdev
#developerlife #coders #searchengine
#softwaredevelopment #python3
#pythondeveloper #devops #database #sqldeveloper #sqldatabase #systemdesign
@learntechwithrocky
825
DAPlanning a cloud migration? This end-to-end framework breaks down the entire AWS Data Migration Process into 7 practical steps — from strategy to auditing.
🔧 For each step, you’ll get:
✔️ The exact AWS tools used
✔️ The purpose of the phase
✔️ The outcomes to expect
✔️ Serverless & production-ready setup
Whether you're building your first migration or improving existing pipelines — this guide gives you a field-tested approach to move data safely, scalably, and securely.
📘 Download the full PDF with detailed use case — link in bio
📩 DM us if you're planning a data migration or want help building it out
#AWS #DataEngineering #CloudMigration #AWSDMS
@datastreakofficial
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