Navera - AI Pipeline Cost Estimate Feature
How It Works
Navera Engine turns your cloud-native pipeline definition into fully deployed, production-ready services— in just a few clicks.
1. Declare Your Pipeline
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Pick a template or select services like Cloud Storage, Dataflow, BigQuery, or Vertex AI
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See pipline projected costs based on chosen services and data volume
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No YAML or Terraform — Navera handles the infrastructure-as-code
2. Deploy in Seconds
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Navera configures and provisions your cloud services using Terraform
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Secure defaults, best practices, and fully cloud-native setup
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Get a tested, connected pipeline ready to run — in one click
3. Deliver Results Faster
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Your pipeline is ready to run — triggered by new data and schedules,
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Monitor runs, version deployments, and make changes without rebuilding from scratch
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Collaborate with your team and evolve confidently
Why Navera Engine
Declarative Pipelines
Define what you want — Navera provisions the cloud infrastructure
Cost-Aware Pipelines
Navera fetches real-time cost data per cloud deployed service
Reproducible & Versioned
Pipelines you can redeploy, track, and evolve — with traceability
DevOps-Approved Infrastructure
Secure, auditable, and Terraform-aligned by design
Dynamic Deployments
Pipelines that morph automatically based on triggers
Pre-configured pipeline templates
You don't need to start from scratch, leverage Navera Engine built-in templates or build your own
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Example Templates
For hobbyists and individual developers building small experiments
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Data Ingestion Pipeline
Cloud Storage → Dataflow → BigQuery
Ingest and process structured data
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Simple AI Experiment
BigQuery → Vertex AI Training
Train a lightweight model on structured data
For professional developers deploying production-ready pipelines
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ETL + Dashboard
Storage → Dataflow → BigQuery → Looker
Transform & visualize your data
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AI Model Training + Registry
BigQuery → Vertex AI → Model Registry
Train and track production-grade models
For teams working and collaborating on multiple pipelines
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Hybrid Data + AI Pipeline
Storage → Dataflow → BigQuery → Vertex AI → Model Registry Endpoint
End-to-end ML pipeline from raw data to deployed model
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Streaming Data Pipeline with Alerting
Pub/Sub → Dataflow → BigQuery → Cloud Functions + Logging
Stream and analyze real-time data with alerting hooks
What Teams Are Saying
Real feedback from AI engineers and DevOps leads
AI Engineer
“With Navera, I feel like my AI and data pipelines are on steroids. I can spin up multiple pipelines, train different modules in parallel, and get results 10x faster than before.”
Senior DevOps Engineer
“With Navera, my coworkers — AI and data engineers — can build real pipeline prototypes without needing Docker or manual Terraform. I no longer have to reverse-engineer their work.”
Senior AI Engineer
“I’ve never seen anything like the Navera Engine. It’s a smart, reactive, and even proactive data infrastructure that adapts automatically to AI workloads.”
Simple Pricing That Scales With You
We’re in Soft Launch — Early Users Get Lifetime Perks!
Sign up now and get:
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Pro Plan: 50% off — for Life
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Business Plan: 50% off— for life