Cloud Platforms
Multi-cloud infrastructure management, hosting, and high-availability architecture.
What it does
ASG Africa is a cutting-edge company who provides their customers with multiple Cloud offerings. We provide Google Cloud Services as well as Azure Cloud Services. We do consulting as a way to determine which Cloud Service is better suited for every Environment (Enterprise).
Google Cloud Platform
High-Performance Infrastructure (IaaS)
GCP provides a foundation built for speed and global scale, leveraging Google's unique infrastructure:
- Global Fiber Network: Unlike platforms that rely on the public internet, GCP routes traffic over a private subsea fiber network, ensuring lower latency for global users.
- Cost Efficiency: Clients benefit from Sustained-Use Discounts, which provide automatic savings for long-running workloads without requiring complex manual management.
- Technical Innovation: The platform is designed for raw performance and adheres to open-source standards, making it ideal for high-performance web scaling.
Modern Platform Services (PaaS)
For organizations looking to build and deploy applications rapidly, GCP leads in containerization and serverless technology:
- Cloud Run: This industry-leading “serverless container” platform allows developers to deploy code that scales automatically, eliminating the need to manage underlying servers.
- Kubernetes Leadership: As the original creator of Kubernetes, GCP offers a premier environment for containerized application development and management.
- Anthos: Provides an open-source focused approach to managing applications across different environments.
Data & AI Innovation
GCP is the preferred choice for data-heavy organizations and those prioritizing advanced machine learning:
- BigQuery: An industry-leading tool for data analytics that allows for planetary-scale insights.
- Vertex AI: A unified platform providing native access to Gemini multimodal models and specialized hardware like TPU v5p for training massive Large Language Models (LLMs).
- Deep Research Focus: The platform's AI strategy is centered on deep research and cutting-edge technical capabilities.
Microsoft Azure Services
Azure Infrastructure as a Service (IaaS)
Azure's IaaS strategy is built around providing a stable, compliant environment that integrates seamlessly with existing corporate infrastructure.
- Hybrid Management with Azure Arc: Azure Arc is the industry standard for hybrid management, allowing organizations to manage their on-premises servers and even other cloud environments directly through the Azure dashboard.
- Enterprise Stability: The IaaS layer is designed for enterprise stability and strict compliance, making it the preferred choice for government entities and large corporations.
- Cost Efficiency: Through the Azure Hybrid Benefit, organizations can realize significant savings on infrastructure if they already own existing Microsoft software licenses.
Azure Platform as a Service (PaaS)
Azure's PaaS offerings focus on “AI-ifying” the enterprise by providing highly integrated platforms for application development and data management.
- Azure Foundry: This unified platform enables developers to build AI applications and agents. It provides access to high-end models including GPT-4 and the integrated Anthropic Claude Opus 4.7.
- Microsoft Fabric: A simplified, all-in-one data analytics platform. It is designed to connect data across an entire organization to ensure it is “AI-ready”.
- Ecosystem Integration: Azure PaaS services offer unbeatable native integration with the broader Microsoft ecosystem, including Microsoft 365, Teams, Active Directory, and Windows Server.
Quick Comparison Table (2026)
| Feature | Microsoft Azure | Google Cloud (GCP) |
|---|---|---|
| Market Share | ~25% (Growing rapidly) | ~11-13% (Steady growth) |
| AI Focus | OpenAI & Enterprise Agents | Gemini & Deep Research (TPUs) |
| Hybrid Cloud | Azure Arc (Strongest in market) | Anthos (Open-source focused) |
| Pricing Edge | Azure Hybrid Benefit (Huge savings if you have existing licenses) | Sustained-Use Discounts (Automatic savings for long-running tasks) |
| Core Ethos | Enterprise Stability & Compliance | Technical Innovation & Data Speed |
Bottom Line: Choose Azure if you want a “one-stop shop” that works perfectly with your existing corporate software. Choose GCP if you want the best possible tools for hosted infrastructure, data science, AI research, and high-performance web scaling.
Want this in your stack?
Tell us about your environment and we will scope the rollout.