Cloud computing delivers computing resources — servers, storage, databases, networking, software, analytics, and AI — over the internet on a pay-as-you-go basis. Cloud consulting companies help organizations plan, migrate, manage, and optimize their cloud infrastructure. Typical services include: cloud strategy and assessment (evaluating current infrastructure, designing target architecture, selecting the right cloud platform); cloud migration (moving applications and data from on-premises or legacy hosting to AWS, Azure, or Google Cloud); cloud-native development (building new applications designed for cloud environments from the start); managed cloud services (24/7 monitoring, incident response, cost optimization, security patching); and cloud cost optimization (identifying and eliminating cloud waste, right-sizing resources, configuring autoscaling). Clutch data: engagements range from $25,000 for simple migrations to $250,000+ for complex enterprise overhauls.

AWS is the largest cloud platform with 200+ services, the most mature tooling, and the broadest geographic availability with 30+ regions globally. Best for most organizations and most workloads. Azure is the natural choice for Microsoft-ecosystem organizations — Microsoft 365, Teams, Active Directory, and SQL Server all integrate natively. Azure also has the strongest enterprise compliance certifications and best hybrid cloud offering. Best for Microsoft-stack enterprises and government organizations. Google Cloud has the strongest data analytics (BigQuery) and AI/ML (Vertex AI) capabilities, with the most competitive compute pricing. Best for data-heavy organizations, companies using Google Workspace, and AI/ML-intensive workloads. Most US organizations choose based on their existing technology stack rather than abstract platform comparison.

Cloud migration costs depend heavily on scope. Small SaaS migrations to AWS: $30,000–$75,000. Mid-sized enterprise migrations (10–50 applications, data migration, testing, cutover): $75,000–$300,000. Large enterprise migrations (100+ applications, multi-region, compliance requirements): $500,000–$5M+. Hourly rates: $100–$225 for seasoned cloud specialists according to Clutch pricing data — Simform at $25/hr as AWS Advanced + GCP Partner is the accessible exception. Additional costs include cloud platform fees (AWS, Azure, GCP), which start at hundreds per month for small workloads and scale to tens of thousands per month for enterprise. Post-migration cost optimization typically reduces cloud spend by 20–40% through right-sizing, reserved instances, and architecture improvements.

Cloud cost optimization is the practice of reducing unnecessary cloud spending without compromising performance or reliability. US organizations overspend on cloud by an average of 30–35% according to industry research. Common cloud waste sources: idle or underutilized compute instances (EC2, Azure VMs) sized for peak load but idle most of the time; unused storage not cleaned up after application changes; high data transfer costs (egress fees); over-provisioned databases running at a fraction of capacity; and unattached resources (load balancers, elastic IPs, disk snapshots) that were created and never deleted. Optimization approaches include right-sizing, reserved instances or savings plans (40–60% discount for 1–3 year commitment), spot instances (70–90% discount for fault-tolerant workloads), and auto-scaling. Documented outcomes on this list: Adastra achieved 70–95% operational efficiency improvements through Azure automation.

Multi-cloud means using services from more than one cloud provider (AWS + Azure, or AWS + GCP) rather than committing to a single platform. Advantages: avoids vendor lock-in, enables best-of-breed service selection, provides redundancy against provider outages, and gives negotiation leverage with providers. Disadvantages: significantly increased operational complexity, multiple cloud skills required across the team, higher data transfer costs (egress fees for moving data between clouds), and more complex security and compliance posture. In 2026, the most successful multi-cloud strategies are purposeful rather than accidental — specific workloads on each cloud based on that platform’s strengths. Most US businesses under $50M revenue are better served by a well-optimized single-cloud strategy. Multi-cloud makes most sense for enterprises above $100M with dedicated cloud engineering teams and specific reasons for each provider.