
- Osmond van Hemert — Senior Software Engineer/
- Blog Series: In-Depth Tech Coverage on AI, Security & Cloud/
- Cloud Platform Watch/
Cloud Platform Watch
Overview#
The cloud platform landscape evolves constantly. AWS, Azure, and Google Cloud announce new services, pricing changes, and strategic pivots regularly. This series monitors these changes—analyzing what new services mean for architects, understanding pricing implications, and tracking strategic moves that signal where cloud computing is heading.
Staying informed helps you avoid technical debt, take advantage of new capabilities, and make cost-effective platform decisions.
What You’ll Find Here#
New Service Announcements: Deep-dive analysis of major new services from the cloud providers—what problem do they solve, how do they compare to existing options, and should you consider them?
Pricing Changes: Understanding pricing dynamics, comparing costs across providers, and identifying optimization opportunities when prices shift.
Feature Evolution: Improvements to existing services, capability additions, and how services compete for workload migration.
Strategic Positioning: Which bets are the cloud providers making (AI, data, serverless), and what does that signal about the market?
Multi-Cloud Trends: Hybrid cloud, multi-cloud strategies, and the tooling that reduces vendor lock-in.
Market Dynamics: Competitive positioning, market share shifts, and acquisitions reshaping the platform ecosystem.
Learning Path#
- Understand the major cloud providers — their service portfolios, strengths, and strategic differences
- Track pricing carefully — understand cost implications of new services and pricing changes
- Evaluate new services — frameworks for determining if new capabilities solve your problems
- Plan architecture strategically — decisions that avoid lock-in while leveraging platform strengths
- Monitor competitive dynamics — recognize shifts in market leadership and changing platform strategies
Key Platforms & Services Covered#
- AWS: EC2, Lambda, S3, RDS, DynamoDB, and emerging AI services
- Azure: Virtual Machines, Cosmos DB, App Service, and Microsoft-specific integration
- Google Cloud: Compute Engine, BigQuery, Vertex AI, and data/analytics focus
- Emerging Players: Hetzner, Vultr, and niche cloud providers
- Pricing Models: On-demand, reserved instances, spot/preemptible pricing, and data transfer costs
- Strategic Services: AI/ML platforms, serverless, managed databases, and containerization
Related Series#
Explore complementary areas: Cloud Operations (operating on cloud platforms), Kubernetes & Containers (container infrastructure across clouds)
