35.6K
PIServicio IAM de Google Cloud Console. #gcp #dataengineer #googlecloudplatform #data
@pildoras_de_programacion
#Data Engineer Cloud Deployment
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11.9K
TE🌐 Want to become a Cloud Engineer? 🚀 Day 2 is all about networking—the foundation of cloud infrastructure!
Now that you know what you need to focus on, here are a few resources to get you started:
📚 Computer Networking: A Top-Down Approach by Kurose and Ross [https://a.co/d/4Sou5J2] is a must-read to build your networking fundamentals.
💻 Networking commands you should know:
ping: Check if a host is reachable.
traceroute: See the path data takes across a network.
netstat: Display network connections and routing tables.
route: View or modify the routing table.
dig/nslookup: Retrieve DNS information.
tcpdump: Capture and analyze network traffic.
tcpflow: Inspect the network flow.
These tools will help you sharpen your troubleshooting skills and prepare for cloud engineering interviews. Let’s get started! 💡
#CloudEngineer #NetworkingSkills #TechWithKriti #NetworkingBasics #CloudSkills #WomenInTech #TechCareers #CloudComputing #AWSJourney #TechTok #CloudCertifications #TechCommunity #DevOps #NetworkingFundamentals #ITSkills #CyberSecurity #NetworkTroubleshooting #TechEducation #CloudArchitect #EngineerLife #AWSCommunity #AzureLearning #techtokwithkriti
@techtokwithkriti
123.7K
EMComment “CLOUD” to get the links!
🔥 Trying to work in modern tech without understanding Cloud Computing is like building software for a single laptop in a world that runs on distributed systems. If you want scalability, reliability, and real-world engineering skills, this mini roadmap is your entry point.
⚡ Cloud Computing Explained
A clear, high-level breakdown of what cloud computing actually is, why it exists, and how companies really use it.
⏱ Cloud Computing in 2 Minutes
A fast, simplified overview to lock in the core ideas: servers, regions, scalability, and on-demand infrastructure.
☁ What is Cloud Storage?
Understand object storage, why it replaced traditional servers, and how data is stored and accessed at scale.
💡 With these Cloud resources you will:
🚀 Think beyond “my code runs locally” and start thinking in distributed systems
🧠 Understand the foundations behind AWS, Azure, and GCP
🏗 Bridge the gap between writing code and deploying real, scalable applications
☁ Level up for Backend, Cloud, DevOps, and Production Engineering roles
If you want to move from “I built an app” to “I deployed a system that scales,” Cloud Computing isn’t optional, it’s foundational.
📌 Save this post so you always have a Cloud roadmap.
💬 Comment “CLOUD” and I’ll send you all the links!
👉 Follow for more Backend Engineering, Cloud, System Design, and Career Growth.
@emrcodes
17.5K
VIBecome a Cloud AI Engineer with bhel.
If you are a beginner, or already in cloud - once you know the ingredients : the mix will make sense.
And if you don’t, here you go. 👇
Linux + Cloud Basics → Puffed Rice 🍚
Python + Bash → Masala 🧂
Infra Automation → Sev 🟡
Kubernetes → Onions 🧅
Security + IAM → Coriander 🌿
Observability → Lemon 🍋
AI Infra → Peanuts 🥜
AI Tooling → Chutney 🫙
FinOps → Salt 🧂
Projects → Mixing it well 🥣
Put it all together, and you get one solid Cloud AI Engineer.
Comment “AI” to get the complete roadmap in your DMs!
[cloud learning path, ai roadmap 2026, mlops basics, devops roadmap, kubernetes tutorial, linux for beginners, cloud certification prep, gpu computing guide, data pipelines learning, hands on projects, tech upskilling, beginner friendly resources, cloud tools, infra skills, engineer roadmap]
@vishakha.sadhwani
206.2K
MALet’s deploy a project together with GPU resources because your girl does not own a GPU!
Comment what is the hardest part for you about deployment - is it just getting started? Learning the basics? Optimizing costs? Hopefully we can do some more videos and make learning be simplified and fun 🤩 #cloudcomputing #gpu #nvidia #huggingface
@mar_antaya
407.0K
TERoadmap to learn cloud engineering from beginner to expert:
1. **Build a Strong Foundation**: Start with a solid understanding of fundamental IT concepts, including networking, operating systems, and data management.
- Networking
- OSI Model
- TCP/IP
- DNS
- HTTP/HTTPS
- Operating Systems
- Linux
- Windows
- Data Management
- Databases
- SQL
2. **Learn Cloud Basics**: Familiarize yourself with the core cloud platforms such as AWS, Azure, and Google Cloud.
- AWS
- EC2
- S3
- RDS
- VPC
- Azure
- Virtual Machines
- Storage
- SQL Database
- Virtual Network
- Google Cloud
- Compute Engine
- Cloud Storage
- Cloud SQL
- Virtual Private Cloud
3. **Selecting a Cloud Provider**: It is beneficial to have experience with multiple cloud providers as a cloud engineer. If you are starting, I would highly recommend concentrating on one cloud provider first: AWS, Azure, or GCP.
4. **Acquiring programming knowledge**: As a cloud engineer, it is important to understand at least one programming or scripting language, especially for automating tasks and provision resources in the cloud. Know your way around Git and a product like GitHub or Gitlab.
5. **Learning DevOps principles & tools**: DevOps is a set of practices that aims to improve collaboration between development and operations teams and increase software delivery speed and reliability.
- Continuous Integration and Continuous Deployment (CI/CD)
- Infrastructure as Code (IaC)
- Monitoring and Logging
- Collaboration and Communication
#cloudcomputing #aws #gcp #azure #programming
@techie_programmer
2.3K
IACloud Engineer is the role that opens up nearly every high-paying Cloud career.
You design, build and maintain the core infrastructure everything runs on — compute, storage, networking, security and automation.
Entry-level salaries start at six figures, senior engineers reach $250K+.
AWS says there’s a global shortage of 6 million Cloud professionals and unlike most senior Cloud roles, this one is actually accessible in 5-6 months.
What makes it special is the breadth — scripting, IaC, systems thinking, CI/CD, architecture and tying technical decisions to business impact.
It’s not just a role, it’s a launchpad into every other senior Cloud career.
@iamsoleyman
223.6K
ECComment roadmap to get sent my free and complete data engineering roadmap!
@eczachly
13.2K
TAPART ONE: The easiest way to get started in Cloud / Security
Comment “1%” to learn how to get started in cloud today!
#cloudengineer #cybersecurity #workingtech #techcareer
@tayolusi
909.6K
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_
6.5K
GDBagi kamu yang ingin memahami proses deployment secara lebih mendalam, video panduan ini hadir untuk menjawab kebutuhan tersebut!
Pada video ini, akan dibahas dua metode deployment yang lebih powerful dan fleksibel: melalui Google Cloud Shell yang dapat diakses langsung dari browser, serta Google Antigravity Terminal bagi yang menginginkan workflow lebih leluasa. Mulai dari proses upload project, pembuatan Dockerfile, autentikasi akun Google Cloud, hingga perintah deployment yang perlu dijalankan.
Video ini sangat relevan bagi kamu yang sudah familiar dengan Google AI Studio dan ingin mengambil kendali lebih penuh atas proses deployment project yang sedang dikembangkan.
📖 Panduan lengkap deployment tersedia di: https://goo.gle/jvc_guide
#JuaraVibeCoding #Gemini #VibeCoding #AI #GoogleForDevelopers #GoogleCloud #developers
@gdgliveindonesia
16.0K
DEHigh demand of Data Engineers in 2026🚀
Comment "Link" for the details🚀
(Data engineering, Data analyst, Data science, DevOps, Software engineering, Data analytics, job switch, data engineering roadmap, data engineering roadmap for 2026)
#dataengineering #devops #softwareengineering #explorepage #dataengineer
@decodewithavyay
✨ #Data Engineer Cloud Deployment Discovery Guide
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The massive #Data Engineer Cloud Deployment collection on Instagram features today's most engaging videos. Content from @chhavi_maheshwari_, @techie_programmer and @eczachly and other creative producers has reached thousands of posts globally. Filter and watch the freshest #Data Engineer Cloud Deployment reels instantly.
What's trending in #Data Engineer Cloud Deployment? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
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