We turn Infrastructure
into real cloud products
Consulting
Group
Today cloud business challenges
Organizations face increasing complexity as they scale. Identify the bottlenecks slowing down your innovation.
Slow time-to-market
Long development cycles delay feature releases, directly impacting your competitive positioning and revenue streams. Every missed deadline gives competitors a chance to capture your market share. Speed is the currency of the cloud, and slowness is a silent killer.
Manual provisioning
Relying on human intervention for infrastructure setup introduces unavoidable delays and configuration drift. Engineers spend valuable hours on repetitive tasks instead of innovation. This bottleneck limits your ability to scale effectively during peak demand.
High manual workload
Excessive operational toil burns out your best engineers and diverts focus from strategic initiatives. When teams are buried in maintenance, they cannot build the future. Reducing this burden is essential for long-term team health and product velocity.
Inconsistent delivery
Without standardized pipelines, 'it works on my machine' becomes a frequent and costly production issue. Inconsistent environments lead to fragile deployments and unpredictable system behavior. Reliability requires a repeatable, automated foundation.
Lack of centralization
Siloed teams and scattered resources prevent effective orchestration of your microservices architecture. Without a central control plane, governance becomes impossible and costs spiral out of control. Unified visibility is key to managing complexity at scale.
Fragmented tools
Juggling dozens of disconnected tools creates massive operational friction and context switching. Data silos make troubleshooting a nightmare, increasing Mean Time To Resolution (MTTR). A consolidated platform is the only way to regain operational clarity.
What is the Cloud Control Platform?
The Cloud Control Platform functions as an orchestration and service management layer that integrates infrastructure resources, platform services, customer management systems, and billing engines.
Customer self-service
Enables customers to independently order and provision services through an intuitive interface without requiring manual intervention. Users can browse a curated catalog of approved services, configure parameters within guardrails, and launch resources in minutes.
System integration
Seamlessly connects with CRM, billing, and operational systems to ensure data consistency and streamlined business processes. This bidirectional synchronization eliminates data silos, ensures accurate chargeback, and provides a single source of truth for all operational data.
Infrastructure abstraction
Simplifies management by providing a unified layer that abstracts underlying infrastructure and platform resources. Developers consume standardized APIs without needing to understand the complexities of the underlying hardware, network, or virtualization stack.
Service lifecycle orchestration
Manages the entire service journey from deployment to retirement, automating complex workflows across multiple systems. From initial provisioning to Day 2 operations like scaling, patching, and eventual decommissioning, the platform handles all state changes automatically.
The Cloud Control Platform
built for scale.
Customer Onboarding
Automated customer onboarding process that streamlines customer ordering and initiates service deployment workflows. New users are provisioned in seconds.
Service Deployment
Automated provisioning workflows that ensure efficient infrastructure operations.
Operational Monitoring
Real-time tracking to ensure optimal service performance.
Billing Integration
Seamless integration with global billing systems. Automated invoicing, subscription management, and real-time usage tracking for enterprise customers.
The Cloud Control
Service Methodology
Our approach transforms complex infrastructure into scalable, automated, and commercially viable cloud products that drive enterprise value.
Service Architecture & Product Design
We start by analyzing existing infrastructure, operational workflows, and commercial objectives. The goal is to translate raw infrastructure capabilities into clearly defined cloud products.
This phase focuses on service catalog design, infrastructure packaging models, pricing logic, and customer consumption patterns. Services are designed as reusable, standardized building blocks rather than one-off deployments.
Clear product structure: infrastructure services, platform services, and solution bundles aligned with enterprise customer needs.
Automation-First Platform Engineering
Automation is the foundation of scalable cloud operations. We design and implement orchestration layers that eliminate manual provisioning and enforce consistency.
The Cloud Control Platform integrates directly with OpenStack and OpenShift to automate infrastructure provisioning, platform deployment, and service lifecycle management.
Ensures repeatability, predictable service quality, and the ability to scale without increasing operational complexity.
Customer Experience & Service Consumption Design
Enterprise cloud services must be easy to consume and simple to manage. We design self-service experiences that expose cloud services as products.
Customer portals, ordering workflows, and service management interfaces are tightly integrated with provisioning, monitoring, and billing systems.
Faster onboarding, higher adoption, and improved customer satisfaction through a seamless end-to-end experience.
Commercial Integration & Monetization Strategy
Cloud platforms fail commercially when monetization is treated as an afterthought. Our methodology embeds commercial logic directly into service design.
We define pricing models, subscription structures, usage-based charging, and managed service offerings that align infrastructure utilization with revenue streams.
Cloud services become measurable, scalable business products from day one through CRM and billing integration.
Continuous Optimization & Service Evolution
Cloud business is not static. New workloads, AI platforms, and application architectures continuously change service requirements.
We implement observability, analytics, and policy-driven automation that enable continuous optimization of infrastructure utilization and operational efficiency.
Ensures long-term scalability, cost control, and readiness for future cloud and AI services.
Engineering culture
Short reads that sharpen your engineering instincts and help you stay ahead of the curve.
Common Questions
Agentic Observability combines traditional monitoring with AI agents that autonomously detect, diagnose, and even resolve issues in your infrastructure. It moves beyond passive data collection to active system health management.
We offer a transparent, usage-based pricing model. You only pay for the data you ingest and store (logs, metrics, and traces). There are no seat limits or hidden fees for user access.
Yes, we are 100% OpenTelemetry native. You can send data from your existing OTel collectors and agents directly to our platform without installing proprietary SDKs.
Currently, we offer a managed cloud solution. However, we are working on an enterprise on-premise version. Contact our sales team for early access and specific compliance requirements.
By default, we offer 30 days of retention for high-fidelity data. You can configure custom retention policies for different data streams to optimize costs and meet compliance needs.