Katrum provides a universal cloud translation platform that normalizes APIs from AWS, GCP, Azure and other providers into a single resource model, enabling automated orchestration and policy‑driven scaling across multi‑cloud environments. Its web console and integrated monitoring deliver real‑time usage, performance, and cost analytics, while built‑in bots handle auto‑healing, workload rebalancing, and cross‑cloud backup replication.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that operate across multiple public cloud providers face fragmented APIs, divergent configuration models, and manual processes that increase operational overhead, risk vendor lock‑in, and hinder cost optimization. The lack of a unified control plane makes it difficult to monitor performance, enforce policies, and scale workloads efficiently across AWS, GCP, Azure, and other clouds.
Solution
Katrum delivers a Universal Cloud Translator that abstracts provider‑specific APIs into a common schema, enabling automated orchestration of resources across any supported cloud. A single web‑based console provides real‑time visibility into usage, performance, and pricing, allowing operators to make informed decisions without switching consoles. Built‑in bots continuously monitor resource health and dynamically rebalance workloads to achieve cost‑aware scaling while preserving performance SLAs. The platform also automates snapshot creation and backup replication to ensure resilience and rapid recovery. By centralizing policy enforcement and operational actions, Katrum reduces multicloud complexity, eliminates manual provisioning steps, and helps organizations maintain a vendor‑agnostic posture.
Target Audience
The primary customers are enterprise cloud architects, DevOps engineering teams, and SaaS product organizations that run workloads in multi‑cloud environments and require centralized governance, cost control, and operational automation.
Features
- API abstraction layer that normalizes compute, storage, networking, and database services from AWS, GCP, Azure, and additional providers into a unified resource model
- Policy‑driven automation engine that executes cost‑aware scaling, workload migration, and auto‑healing based on real‑time metrics and pricing signals
- Continuous multi‑cloud monitoring with alerting on availability, latency, and cost thresholds, feeding into a consolidated analytics dashboard
- Automated snapshot and backup workflow that schedules point‑in‑time captures and replicates data across regions and clouds for disaster recovery
- Single pane‑of‑glass UI offering inventory management, instant scaling actions, and cross‑cloud migration tools without leaving the platform
- Extensible REST/GraphQL API and SDKs for CI/CD integration, enabling DevOps pipelines to provision and adjust resources programmatically
- Support for over 15 cloud providers, including major public clouds and niche IaaS vendors, with plug‑in architecture for future extensions