#Aws Compute

AWS Aurora is highly scalable even with synchronous replication. This is possible with the help of proprietary distributed storage layer used by Aurora as described in this video. . . (Cloud, Devops, AWS, Engineers, SRE, Azure, India, Amazon, Microsoft) (#Cloud, #Devops, #AWS, Engineers, SRE, Azure, India, #Amazon, #Microsoft)

Platform Comparison: AWS EKS vs Azure AKS In this video, we compare two powerful managed Kubernetes platforms: Amazon Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS). Both platforms help organizations run production-grade Kubernetes clusters without managing the complex control plane infrastructure. What you will learn in this video: ✔ Control Plane Architecture ✔ Node Management & Auto Scaling ✔ GPU Support for AI Workloads ✔ Identity & Security Integration ✔ Storage Integration for AI Platforms ✔ Networking Architecture

This videos explains AWS relational databases, how they are created and managed. Which feature of RDS is most widely used by the customers. . . (Cloud, Devops, AWS, Engineers, SRE, Azure, India, Amazon, Microsoft) (#Cloud, #Devops, #AWS, Engineers, SRE, Azure, India, #Amazon, #Microsoft)

Still wondering how Amazon S3 actually works? It stores files as **objects inside buckets.** Each object has: - File data - Metadata - A unique key Upload → HTTP PUT → IAM check → Distributed storage → Indexed metadata That’s how your file gets durability at global scale. Designing storage that works across Availability Zones? That’s serious system design. 🧠 Want the full breakdown? 🔗 Read the article at http://codesmith.io/blog #AWS #AmazonS3 #SystemDesign #CloudComputing #DistributedSystems

EBS is the storage layer for EC2. It acts like a virtual hard drive — storing your operating system, applications, and data. Stop the instance? Your data stays. Delete the volume? Data is gone. Understanding EBS is essential for running real workloads in AWS ☁️ #aws #ec2 #ebs #cloudstorage #learnaws cloudengineer devops

🌐 Global Performance: Multi-Region Writes! ⚡ Scenario: A global retailer needs an order system for the US and Europe. Requirements: sub-100ms latency for reads/writes in both regions and sync within seconds. Solution: DynamoDB Global Tables 🎯 - Multi-Active: Users write to their local region. No cross-ocean lag for data entry. - Speed: Local endpoints ensure <100ms latency for all operations. - Auto-Sync: AWS replicates data between regions automatically, meeting the ""eventual consistency"" requirement. Why not others? - Aurora Global: Writes are typically routed to one primary region, creating high latency for users elsewhere. - S3: Lacks the performance needed for live order management. Exam Tip: For Multi-Region Writes with high performance, choose DynamoDB Global Tables. 🚀 #AWS #SolutionsArchitect #DynamoDB #Cloud #MultiRegion #NoSQL #Database #TechTips #KodeKloud

💸 Slash EC2 Costs! 📉 Scenario: Three workloads, one goal: Save money without breaking production. Workloads: 1. Production: 24/7 steady usage. 2. Batch: 6-hour nightly jobs; can be interrupted. 3. Dev/Test: Business hours; sporadic. Strategy: 🎯 - Compute Savings Plans (Production): Commit to a baseline for up to 66% off. Best for 24/7 predictable loads. - Spot Instances (Batch): Use spare capacity for up to 90% off. Perfect for fault-tolerant jobs. - On-Demand (Dev/Test): Pay as you go. No commitment needed for unpredictable, part-time usage. Exam Tip: - Steady state? Savings Plan. - Fault-tolerant? Spot. - Unpredictable? On-Demand. 🚀 #AWS #SolutionsArchitect #EC2 #CostOptimization #SAAC03 #FinOps #SpotInstances #SavingsPlans #CloudComputing #CloudCertification #AmazonWebServices #TechTips #KodeKloud

Kubernetes is often treated as the default for container orchestration, but the reality is that most companies do not operate at the scale required to justify its complexity. Startups, SMBs, and even many enterprise-level workloads can be managed more effectively using simpler alternatives. Over-engineering leads to unnecessary overhead. Services like AWS ECS provide container orchestration without the management burden of K8s. For other use cases, AWS Lambda for serverless or EC2 with auto-scaling groups are often the superior choice for speed and cost-efficiency. The value of a senior engineer lies in technical judgment. Knowing when to avoid Kubernetes is just as important as knowing how to use it

Exploring CPU inference, diverse edge accelerators, and the market vs. data center GPUs. Emilio Andere is the CEO of Wafer AI. https://www.artificialintelligencemadesimple.com/ #CPUInference #EdgeAI #GPUvsCPU #AIHardware #WaferAI #ArtificialIntelligence

Terraform import is used to bring an existing resource (already created outside Terraform) into Terraform state, so Terraform can start managing it without recreating it. Terraform does NOT create or modify the resource during import—it only updates the state file. ⸻ Why Terraform import is needed • A resource already exists in AWS/Azure/GCP • Terraform fails with “resource already exists” • You want Terraform to track and manage that resource going forward Syntax: terraform import <resource_address> <resource_id> #devops #cloud #aws #azure #terraform

Ec2 instance stands for elastic complete cloud. It’s a virtual server in the cloud provided by Amazon web services instead of buying a physical hardware you can launch in minutes using EC2 you can choose your operating system CPU memory and storage based on your needs it’s scalable, secure and cost-effective. You only pay for what you use whether you’re hosting a website running application or deploying devops projects ec2 gives you full control just like a real sever, but in the cloud. #aws #ec2 #100daychallenge #fastaslightning⚡️ #copyrightsreserved©

Day 24: Connecting Azure and AWS (Germany Launch) 🇩🇪☁️ Today was deep in the weeds of networking. We’re expanding into Europe, which meant setting up a robust IPSec VPN between our clouds and resolving complex Terraform dependencies for our Azure VNGs and Private DNS resolvers. THE INTERVIEW QUESTION: “How do you handle DNS resolution and routing between AWS and Azure in a multi-cloud environment?” THE ANSWER: 1️⃣ BGP Over IPSec: Use BGP for dynamic routing to ensure high availability and automatic failover between regions. 2️⃣ Private DNS Resolvers: Set up conditional forwarders. Azure Private DNS Resolvers can forward queries to AWS Route 53 Inbound Endpoints (and vice-versa). 3️⃣ CIDR Planning: Ensure no overlapping IP ranges before you build. It’s a nightmare to refactor later! THE LIFE SIDE: Schools are still closed, but the chest pump was real. Drop a “CLOUD” if you’ve worked in a Multi-Cloud environment! 👇 #softwareengineering #systemdesign #multicloud #dadlife #consistency