ibee

Infrastructure That
Powers Data Platforms

From ingestion to insight, IBEE gives data teams the storage, compute, networking, and security they need to process and scale data-heavy workloads.

Start building on IBEEExplore Object Storage
Data platform infrastructure on IBEE

Data platforms don't fail on storage. They fail on infrastructure.

01

Every customer, event, file, log, and workflow creates more data.

Data platforms collect and store many types of information: raw files, event streams, logs, reports, exports, customer uploads, processed datasets, dashboards, backups, and analytics outputs. As usage grows, scattered storage and temporary disks become difficult to manage.

How IBEE handles it

Use IBEE Object Storage to store raw data, processed datasets, exports, logs, application assets, customer files, and backups. Since it is S3-compatible, teams can use standard SDKs, CLIs, and data tools without rewriting workflows for a proprietary API.

Object StorageS3-compatible APIsBackups & SnapshotsCloud VMs
Data volume grows faster than the product illustration
02

Data platforms need workers that can process large workloads without blocking the product.

Modern data products run ingestion jobs, ETL pipelines, transformations, indexing, aggregation, enrichment, scheduled reports, and background processing. If these jobs run on weak or shared infrastructure, queues build up and data freshness suffers.

How IBEE handles it

Run ETL workers, ingestion services, transformation jobs, indexing services, and analytics backends on IBEE Cloud VMs or Managed Kubernetes. Use Block Storage where attached storage is needed for databases, caches, or processing nodes.

Cloud VMsManaged KubernetesBlock StorageObject Storage40 Gbps network
ETL and processing jobs need reliable compute illustration
03

More users means more queries, exports, reports, and API requests.

Data platforms often power dashboards, internal tools, customer portals, reports, exports, and public APIs. As usage increases, query-heavy workloads and API traffic can slow down the product if services are not distributed properly.

How IBEE handles it

Use IBEE Load Balancers to distribute traffic, Cloud VMs for application services, Managed Kubernetes for containerized APIs and workers, and high-speed infrastructure for communication between compute, storage, and backend services.

Load BalancerCloud VMsManaged KubernetesObject Storage40 Gbps network
Analytics APIs and dashboards must stay fast illustration
04

Data platforms handle sensitive business information.

Customer data, usage logs, documents, exports, analytics results, API keys, credentials, and internal datasets all need strong protection. As a data platform moves toward business and enterprise customers, security questions become part of every serious deal.

How IBEE handles it

Use Firewalls to control network access, Secret Manager to store credentials, API Tokens for controlled platform access, private networking for service isolation, and Backups & Snapshots for recovery planning.

FirewallSecret ManagerAPI TokensPrivate networkingBackups & Snapshots
Data security becomes a customer requirement illustration
05

When a data platform fails, customers immediately feel the impact.

Data platforms need reliable recovery planning for application files, customer exports, databases, logs, object storage assets, processing outputs, and infrastructure state. Without backups and snapshots, a small mistake can become a major customer-facing issue.

How IBEE handles it

Use IBEE Backups & Snapshots to support recovery workflows for production infrastructure. Store files, exports, processed datasets, and backup assets in Object Storage, while running application and processing services on Cloud VMs or Kubernetes.

Backups & SnapshotsObject StorageBlock StorageCloud VMsManaged Kubernetes
Backups and recovery cannot be an afterthought illustration
06

Data teams should build pipelines and products, not rebuild cloud infrastructure.

A data platform needs storage, compute, networking, APIs, queues, workers, access control, backups, dashboards, and deployment workflows. If every layer is managed separately, engineering time gets spent maintaining infrastructure instead of improving the data product.

How IBEE handles it

Use Cloud VMs, Object Storage, Block Storage, Managed Kubernetes, Load Balancers, Firewalls, Secret Manager, API Tokens, and Backups from one platform. IBEE helps teams build a cleaner infrastructure foundation for data products.

Cloud VMsObject StorageBlock StorageManaged KubernetesLoad BalancerSecret Manager
Infrastructure complexity slows data teams illustration

40Gbps

server network fabric

Built for fast communication between compute, storage, APIs, and internal data services.

S3compatible

data storage

Store raw data, processed datasets, exports, logs, backups, and customer files with standard APIs.

VM+ K8s

data processing

Run ingestion jobs, ETL workers, analytics APIs, and background processing on compute or Kubernetes.

Oneplatform

data infrastructure

Compute, storage, Kubernetes, load balancing, firewall, secrets, and backups together.

Before / After

From manual data operations to a scalable data infrastructure foundation.

See how data teams move once they stop wiring storage and pipelines by hand and start building on cloud primitives.

Before IBEE

Managing data infrastructure manually

  • Raw files, processed datasets, logs, and exports are scattered across tools
  • ETL jobs and processing workers slow down as data volume increases
  • Dashboards and APIs become slower when customers run more reports and queries
  • Security, secrets, firewalls, and access control are added late
  • Backups and recovery workflows are not planned until production risk appears
With IBEE

Building on a scalable data infrastructure foundation

  • Store raw data, processed datasets, exports, and backups in S3-compatible Object Storage
  • Run ingestion, ETL, indexing, and analytics workers on Cloud VMs or Managed Kubernetes
  • Use Load Balancers to support analytics APIs, dashboards, and customer-facing services
  • Protect data infrastructure with Firewalls, Secret Manager, API Tokens, and private networking
  • Use Backups & Snapshots to support recovery planning for production data systems
The Platform

One platform for the data infrastructure lifecycle.

Store, process, secure, and scale data workloads using IBEE compute, object storage, block storage, networking, Kubernetes, and security services.

01 / Storage

S3-compatible Object Storage

Store raw data, processed datasets, customer files, exports, logs, backups, and analytics assets using standard S3-compatible APIs.

Use forData · Logs
APIS3-compatible
WorkflowsSDKs · CLI · Tools
02 / Processing

Compute for Data Workloads

Run ingestion services, ETL workers, indexing jobs, analytics APIs, reporting workers, and processing pipelines on Cloud VMs or Kubernetes.

Use forETL · APIs
ComputeVMs · K8s
StorageObject · Block
03 / Kubernetes

Managed Kubernetes

Run containerized pipelines, data APIs, queues, workers, schedulers, and multi-service data platforms.

04 / Traffic

Load Balancer

Place analytics APIs, dashboards, customer portals, and backend services behind reliable traffic distribution.

05 / Security

Security Controls

Use Firewalls, Secret Manager, API Tokens, backups, snapshots, and private networking to protect production data systems.

How It Works

Three steps from raw data to reliable data product.

STEP 01

Ingest

Bring raw files, logs, customer uploads, events, exports, and application data into your platform using backend services and IBEE Object Storage.

STEP 02

Process

Run ETL jobs, transformation workers, indexing services, analytics APIs, and scheduled reports on Cloud VMs or Managed Kubernetes.

STEP 03

Deliver

Serve dashboards, reports, exports, APIs, and customer-facing data products behind Load Balancers while protecting infrastructure with firewalls, secrets, and backups.

pipeline.shcopy

# upload raw data to IBEE Object Storage

$ aws s3 cp events.parquet \

  s3://data-platform-prod/raw/events.parquet \

  --endpoint-url https://{project_id}.blob.ibeestorage.com

› uploaded events.parquet to raw data storage

# launch a data processing worker

$ ibee compute create \

  --name "etl-worker-prod-01" \

  --image "python-data-worker" \

  --region "ind-hyd-1"

› ETL worker ready for processing jobs

Use Cases

Built for data platforms that need reliable infrastructure.

Analytics Platforms

dashboards · reports · exports

Data Lakes

raw files · datasets · archives

ETL Platforms

ingestion · transforms · workers

Customer Data Products

portals · APIs · insights

AI Data Pipelines

datasets · embeddings · features

Internal Data Platforms

logs · BI · operations

Get Started

Build your data platform without rebuilding cloud infrastructure.

Start with IBEE for data storage, processing workers, analytics APIs, load balancing, Kubernetes, firewalls, secrets, backups, and production-ready infrastructure.

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