#Cloud Platform Integration

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Reels en Tendencia

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#Cloud Platform Integration Reel by @frontend_in.depth - Hey developers 👋🏻 Best websites to deploy your code for free. Vercel Vercel is a cloud platform for deploying and hosting static sites and server
23.2K
FR
@frontend_in.depth
Hey developers 👋🏻 Best websites to deploy your code for free. Vercel Vercel is a cloud platform for deploying and hosting static sites and serverless functions. It provides automatic builds, previews, and seamless integration with Git repositories. Netlify Netlify is a platform for deploying and hosting static websites and modern web applications. Render Render is a cloud platform for deploying web applications, APls, and static sites with automatic scaling and HTTPS. Follow this page for more technology regard frontend or web development. #frontendwebdeveloper #webdevelopment #webdeveloper #mernstack #mern #mongodb #nodejs #nosql #nodejsdeveloper #sqlserver #sql #computerscience #frontenddeveloper #frontend #frontenddevelopment
#Cloud Platform Integration Reel by @tech_more_telugu - Tera box users.... #terabox #telegrambot #trending #techreels #tech #technology #techmoretelugu
146.7K
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@tech_more_telugu
Tera box users.... #terabox #telegrambot #trending #techreels #tech #technology #techmoretelugu
#Cloud Platform Integration Reel by @techie_programmer (verified account) - Cloud Computing Roadmap: From Beginner to Expert 1. Introduction to Cloud Computing - Definition and Basics - Evolution of cloud computing - Benef
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@techie_programmer
Cloud Computing Roadmap: From Beginner to Expert 1. Introduction to Cloud Computing - Definition and Basics - Evolution of cloud computing - Benefits and Challenges 2. Cloud Service Models - Infrastructure as a Service (IaaS) - Virtual Machines - Storage solutions - Platform as a Service (PaaS) - App hosting - Database services - Software as a Service (SaaS) - Cloud-based software apps 3. Cloud Deployment Models - Public Cloud - Private Cloud - Hybrid Cloud - Multi-cloud 4. Core Cloud Services - Compute - EC2, Azure VM, Google Compute Engine - Storage - S3, Azure Blob, Google Cloud Storage - Databases - AWS RDS, Azure SQL, Google Cloud SQL 5. Networking in Cloud - Virtual Networks - Load Balancers - Content Delivery Networks 6. Cloud Security - Identity and Access Management (IAM) - Data encryption - Compliance and Certifications 7. Cloud Management and Monitoring - Resource monitoring - Automation and scaling - Cloud cost management 8. Containers and Microservices in Cloud - Docker - Kubernetes - Amazon ECS, Azure Kubernetes Service 9. Cloud DevOps - Continuous Integration & Continuous Deployment (CI/CD) - Infrastructure as Code (IaC) 10. Advanced Cloud Architectures - Serverless computing - AWS Lambda, Azure Functions - Big Data and Analytics - AWS Redshift, Google BigQuery - Machine Learning in the Cloud - AWS SageMaker, Azure ML 11. Multi-cloud strategies - Using AWS, Azure, GCP together - Data transfer and interoperability Projects to Add to Resume: 1. Deploy a multi-tier web application in the cloud. 2. Migrate an on-premises database to a cloud provider. 3. Set up a CI/CD pipeline using cloud services. #cloudcomputing #aws #gcp #azure #microsoft #jobs #interview #sql #dsa #programmer #programming #programminglife
#Cloud Platform Integration Reel by @awsdevelopers (verified account) - AWS Parallel Computing Service (AWS PCS) manages High Performance Computing workloads in the cloud 🖥️ AWS PCS gives you: 1️⃣ Slurm-based job schedul
4.8K
AW
@awsdevelopers
AWS Parallel Computing Service (AWS PCS) manages High Performance Computing workloads in the cloud 🖥️ AWS PCS gives you: 1️⃣ Slurm-based job scheduling 2️⃣ Security, scaling, and infrastructure management 3️⃣ Automated cluster updates 4️⃣ Integration with AWS services like S3 Set up AWS PCS: 1. Create VPC, subnets, and security groups 2. Set up shared storage (EFS, FSx for Lustre) 3. Launch cluster via AWS PCS console 4. Create compute node groups 5. Set up job queue 6. Connect and run jobs using Slurm commands 7. Monitor and scale as needed 🔗 Full documentation at the link in bio What HPC workflows are you working on? Share below. 💬 Follow @awsdevelopers for more cloud content. ————————— Tags 🏷 #AWS #CloudComputing #HPC #AWSCloud #ParallelComputing #DataScience
#Cloud Platform Integration Reel by @quickekyc - Are Your Customers Cheating You? Learn How to Stop Fake & Fraud Users Instantly!" 🚀 Online businesses face a huge risk from fake users, identity frau
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@quickekyc
Are Your Customers Cheating You? Learn How to Stop Fake & Fraud Users Instantly!" 🚀 Online businesses face a huge risk from fake users, identity fraud, and payment scams. Are you struggling with fraudulent KYC, fake accounts, and unverified transactions? Now, protect your business effortlessly! QuickeKYC’s AI-powered eKYC API helps you detect and block fraud users, verify real customers, and ensure a secure onboarding process. 🔹 How to Stop Fraud Users? ✅ Real-Time Aadhaar, PAN & GST Verification – Instantly verify users. ✅ AI-Powered Fraud Detection – Detect fake documents & fraudulent identities. ✅ Secure & Compliance-Ready API – Follows all legal and financial regulations. ✅ Fast & Easy API Integration – Plug & play solution for seamless verification. 🚀 Secure your business with QuickeKYC & onboard only genuine customers today! 📞 Call Now: +91-99728 93728 🌐 Visit: www.QuickeKYC.com 🔹 #QuickeKYC #FraudPrevention #eKYCAPI #AadhaarVerification #SecureBusiness #DigitalOnboarding 🚀#EKYC #AADHARKYC #PANKYC #FakeUser #UserVerification #DigitalKYC #IdentityVerification #SecureKYC #KYCCompliance #UserAuthentication
#Cloud Platform Integration Reel by @ai.with.arthisha (verified account) - 🚀 Build AI Agents Without Code 🚀 What used to take weeks can now be done in minutes with Airia's Enterprise AI Orchestration Platform. Here's why te
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AI
@ai.with.arthisha
🚀 Build AI Agents Without Code 🚀 What used to take weeks can now be done in minutes with Airia’s Enterprise AI Orchestration Platform. Here’s why teams love it: ✅ No-Code Agent Builder ✅ Pre-Built Data Connectors for real-time integration ✅ Enterprise-Grade Security (HIPAA & SOC2 compliant) ✅ Flexible Deployment (cloud, private, or on-prem) ✅ Model-Agnostic — use any AI model, no vendor lock-in From legal teams to global retailers, Airia is transforming how businesses scale with AI. #aiagent #airiaai #howtobuild #agents #automation #business #automatic #sales #easyandfast #aitools #agenticai
#Cloud Platform Integration Reel by @sshirg (verified account) - Just coding isn't enough ❗❗❗
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@sshirg
Just coding isn't enough ❗❗❗
#Cloud Platform Integration Reel by @gamkers (verified account) - Do you have a million dollar app idea? Mobile Development, Cross-Platform, User Interface, API Integration, Cloud Backend, Push Notifications, App Mo
43.4K
GA
@gamkers
Do you have a million dollar app idea? Mobile Development, Cross-Platform, User Interface, API Integration, Cloud Backend, Push Notifications, App Monetization
#Cloud Platform Integration Reel by @victorydeveloper - DevOps Roadmap 🚀 A comprehensive roadmap to becoming a DevOps expert: Phase 1: Foundations 🌐 - *Version control*: Git, GitHub, GitLab - *Agile meth
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VI
@victorydeveloper
DevOps Roadmap 🚀 A comprehensive roadmap to becoming a DevOps expert: Phase 1: Foundations 🌐 - *Version control*: Git, GitHub, GitLab - *Agile methodologies*: Scrum, Kanban - *CI/CD basics*: Introduction to continuous integration and delivery Phase 2: Infrastructure as Code (IaC) 🌟 - *Terraform*: Infrastructure provisioning and management - *Cloud platforms*: AWS, Azure, Google Cloud Phase 3: CI/CD Pipelines 🔄 - *Jenkins*: Pipeline creation and automation - *GitLab CI/CD*: Pipeline configuration and execution - *CircleCI*: Cloud-based CI/CD platform Phase 4: Monitoring and Logging 📊 - *Prometheus*: Monitoring and alerting - *Grafana*: Visualization and dashboarding - *ELK Stack*: Logging and log analysis Phase 5: Containerization and Orchestration 🐳 - *Docker*: Containerization and image management - *Kubernetes*: Container orchestration and management Phase 6: Security and Compliance 🔒 - *DevSecOps*: Integrating security into DevOps practices - *Compliance*: Understanding regulatory requirements Phase 7: Automation and Scripting 🤖 - *Scripting languages*: Python, Bash, PowerShell - *Automation tools*: Ansible, Puppet, Chef Phase 8: Advanced Topics 🚀 - *Serverless computing*: AWS Lambda, Azure Functions - *Machine learning and AI*: Integration with DevOps practices This roadmap covers the essential skills and knowledge for a successful DevOps career. Stay up-to-date with industry trends and best practices! 📚 Would you like me to elaborate on any phase? Tags :- #DevOps, #DevOpsEngineer, #CloudComputing, #CI/CD, #Docker, #Kubernetes, #InfrastructureAsCode, #IaC, #Terraform, #Python, #Linux, #Networking, and #Security
#Cloud Platform Integration Reel by @clouddevopshub (verified account) - GCP Introduction - Google Cloud Platform kaise alag hai? Aaj ke time mein har business Cloud ke bina adhoora hai. ☁️ Par Google Cloud Platform (GCP) a
1.3K
CL
@clouddevopshub
GCP Introduction – Google Cloud Platform kaise alag hai? Aaj ke time mein har business Cloud ke bina adhoora hai. ☁️ Par Google Cloud Platform (GCP) aakhir kyun unique hai? Kya yeh AWS aur Azure se better hai? Security, AI Integration aur Networking mein GCP ka future-proof edge kya hai? 🔐🤖⚡ Aap bhi GCP ke expert banna chahte ho? To yeh reel aapke liye hai! 💡 🔥 Watch now & follow @clouddevophub for daily Cloud + DevOps + AI reels! 🔖 Hashtags (SEO + Viral + Niche Targeted): #GoogleCloudPlatform #GCPIntroduction #CloudComputing #Multicloud #DevOps #CloudEngineer #GCPvsAWS #TechReels #CloudDevOpsHub #LearnWithReels #CloudWithAI #ReelsForLearning #GCPforBeginners #CloudReels #AIonCloud #DevOpsLife #CloudCareer #GCPcertified ⚡ Trending & Viral Tags (Reels Growth): #foryou #foryoupage #reelitfeelit #trendingreels #instareels #techreels #viralreels #reelsindia #edutechreels #careerreels
#Cloud Platform Integration Reel by @red9systech - 💡 Confused about Big Data? Let's simplify with AWS EMR! Big data can feel overwhelming - huge volumes, complex tools, expensive infrastructure. That
551
RE
@red9systech
💡 Confused about Big Data? Let’s simplify with AWS EMR! Big data can feel overwhelming — huge volumes, complex tools, expensive infrastructure. That’s where AWS Elastic MapReduce (EMR) comes to the rescue! 🌐 🔹 What is EMR? It’s a managed big data platform that lets you run Hadoop, Spark, Hive, Presto, and more without worrying about servers. 🔹 Why use EMR? ✔ Scale from gigabytes to petabytes effortlessly ✔ Pay only for what you use 💰 ✔ Tight integration with S3, DynamoDB, and Redshift ✔ Perfect for data analytics, log processing, and ML pipelines Think of EMR as your supercomputer in the cloud, built to crunch data faster, cheaper, and smarter. ⚡ 👉 So, if you’re working on AI, ML, Data Science, or Real-time Analytics, AWS EMR is your go-to tool. 💭 Would you try EMR for Machine Learning or Data Analysis first? Drop your answer below ⬇ #AWSEMR #ElasticMapReduce #AWSBigData #BigDataAnalytics #DataScience #MachineLearning #AI #CloudComputing #DataEngineering #ApacheSpark #Hadoop #Hive #Presto #ServerlessData #DataPipelines #AWSForData #Red9SysTech #LoveToLearn #TechSimplified #DataDriven #CloudData #BigDataSolutions #LearnAWS #ScalableTech #DataProcessing
#Cloud Platform Integration Reel by @cloudwithinwayz.io - A common cloud newbie questuin is "What Cloud platform do I choose as a beginner?" The platform you choose is dependent on many factors, such as care
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CL
@cloudwithinwayz.io
A common cloud newbie questuin is "What Cloud platform do I choose as a beginner?" The platform you choose is dependent on many factors, such as career goals, environmental, career needs, etc. 1. Job Market Demand (Career Goals) - AWS → Highest # of jobs globally (33% market share). - Azure→ Dominates enterprise/corporate roles (banks, healthcare, govt). - GCP → Popular in AI/ML startups and data-heavy companies. Action: Search LinkedIn for AWS" vs. "Azure" vs. "GCP" jobs in your target region. 2. Your Background (Existing Skills) - Windows/.NET/Office 365 user? - Azure (seamless integration). - Linux/Python/DevOps? - AWS or GCP (better open-source support). 3. Learning Curve & Free Resources (Education) - AWS/AZURE: Best free tier (12 months), tons of tutorials (YouTube, Udemy). - Azure: Free certs via Microsoft Learn (e.g., AZ-900). - GCP: $300 free credit + simpler UI for beginners. - Starter Certs: - AWS Cloud Practitioner (CLF-C02) - Azure Fundamentals (AZ-900) - Google Cloud Digital Leader 4. Project Interests (What You Want to Build) - Web Apps: AWS (EC2, S3) or Azure (App Service). - AI/ML: GCP (Vertex AI) or AWS (SageMaker). - Hybrid Cloud: Azure (tight Windows integration). - Serverless: AWS Lambda (most mature) or GCP Cloud Functions. 5. Long-Term Trends ( Future-Proofing) - Multi-cloud skills are valuable (learn one first, then expand). - AWS = Safe default (widest adoption). - Azure = Growing fast in enterprises. - GCP = Leader in AI/ML and Kubernetes (GKE). Make sure you choose the platform that best suits your career needs. What platform do you use/prefer? . . . . #aws #Azure #DevOpsEngineer #inwayz #devops #cloudcomputing #azurecloud #awscloud

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