Top Public Cloud Companies

Technical Evaluation Framework: Vetting Public Cloud Consultancies

The public cloud offers virtually unlimited elastic compute, managed data platforms, and AI services. However, realizing the true benefits of the public cloud requires re-architecting legacy systems for cloud-native scalability, high availability, and cost efficiency. UpFirms evaluates public cloud consulting agencies on migration velocity, architectural modernization, and cloud FinOps optimization across AWS, Google Cloud, and Microsoft Azure.

1. Core Public Cloud Engineering Disciplines

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  Cloud Migration & Modernization (The 7 Rs): Formulating strategic migration roadmaps (Rehost, Replatform, Refactor, Repurchase, Retain, Relocate, Retire) to move workloads with zero business disruption.
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  High-Availability & Multi-Availability Zone Topologies: Architecting stateless compute tiers that span multiple availability zones with automated health monitoring and dynamic load balancing.
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  Serverless & Managed PaaS Adoption: Replacing self-managed databases and caching servers with managed cloud primitives (Aurora, Cloud SQL, Cosmos DB, DynamoDB).
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  Public Cloud FinOps Governance: Continuously identifying unattached storage volumes, right-sizing compute instances, and optimizing commitment discounts (Savings Plans, Committed Use Discounts).

2. Vetting Questions for Engineering & Procurement Leaders

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   "What is your framework for determining whether an enterprise application should undergo a simple replatforming versus a full cloud-native refactor?"
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   "How do you test and validate data migration pipelines during live transitions to ensure zero data loss and minimal cutover downtime?"
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   "What strategies do your architects use to prevent unexpected egress network bandwidth charges between cloud regions and public internet clients?"
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   "How do you ensure that all public cloud infrastructure is 100% reproducible through Infrastructure as Code (Terraform, Bicep, Pulumi)?"

3. Red Flags

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  Treating Public Cloud as an Expensive Virtual Datacenter: Simply spinning up static virtual machines on public cloud without leveraging auto-scaling, managed services, or cloud-native monitoring.
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  Neglecting Cloud Spending Alerts: Launching proof-of-concept clusters or GPU workloads without establishing hard budget caps and billing alert notifications.
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  Lacking Automated Backup Verification: Configuring snapshot backups without testing automated restore procedures, discovering unrecoverable corruption only during a crisis.