CloudIvy

Launch faster. Grow cleaner. Scale smarter.

Candidate training, cloud labs, and practical systems coaching for students and teams.

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Built for students, teams, and career switchers

Turn your cloud, coding, or data goal into a working career path.

CloudIvy Candidate Arena helps you practice interviews, learn AWS workflows, build DevOps habits, and track progress with practical delivery, not endless planning.

7-day launch direction Student training DevOps labs Career architecture
Best starting point
Launch the practice system, capture progress, then automate the follow-up. Most students do not need another pile of random questions first. They need a credible plan, a clear track, a working workspace, and a simple way to see every improvement.
Choose your path Ready
🌐 Cloud beginners AWS basics, IAM, Lambda, API Gateway, logs, and deployment confidence.
📈 Data + SQL learners SQL analytics, Python data practice, reporting logic, and interview drills.
🎓 Students and teams Coding, cloud, AI, data, and career-ready projects with guided routines.
⚙️ DevOps starters Shell, CI/CD, GitHub Actions, logs, troubleshooting, and release habits.
What happens next
We review your current goal We suggest the fastest setup You get a clear practice path
How we build

From unclear preparation to a working career practice funnel.

We focus the first build on what creates progress: a clear track, a fast path to practice, a simple feedback workflow, and enough structure to scale without waste.

₹799 3-month student access Guided prep + workspace
01 Pick the track Choose coding, SQL, shell, AWS, or mixed interview preparation based on the goal.
02 Build the routine Add daily work, mock checkpoints, saved submissions, and visible progress.
03 Practice with tools Use coding playgrounds, notebook labs, CI/CD logs, and question boards in one place.
04 Track follow-up Keep history, inbox guidance, submissions, and feedback connected to the same profile.
05 Improve growth Repeat the right drills, repair weak areas, and move from beginner to interview-ready.
Weekly live session One weekly 1-hour coding session focused on problem solving and interview confidence.
Question Board Preview
Q142
Aggregate Late-Arriving Pharmacy Events
Streaming-style Python logic with deduplication, watermark handling, and hourly rollups.
Hard · Data Engineering
Q38
Window Functions Revenue Drill
Students move from ranking and lag/lead basics into interview-style analytics questions.
Working · SQL
Day 12
GitHub Actions Failure Investigation
Inspect jobs, step logs, summaries, and fix the workflow from the same browser workspace.
Submitted · CI/CD
AWS 30-Day
Serverless Study Sprint
Daily modules on Lambda, API Gateway, IAM, logs, and event-driven app design.
Structured Plan
Workflow Lab Snapshot
GitHub Actions Lab 
Run 417 workflow summary

Jobs loaded: 3
Completed: 2
Failed: 1
Failed steps: 1

build
  npm ci ... ok
  npm test ... ok

deploy
  cdk deploy --all --require-approval never
  UPDATE_IN_PROGRESS
  UPDATE_COMPLETE
What Students Get
  • Guided study plans Daily `30 / 60 / 90` day roadmaps with completion tracking and end-of-day exercises.
  • Saved progress Students come back to their question history, last submissions, inbox messages, and linked GitHub repo state.
  • Role-based prep Coding, SQL, SDLC, and AWS tracks all sit in the same workspace instead of being split across tools.
Practice Tools
Coding Playground Open coding with multiple languages and downloadable work.
Notebook Lab Browser notebook space with scientific Python starters and CSV drills.
GitHub Actions Lab Linked repos, workflow runs, job summaries, logs, and inline file edits.