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Cloud Compute Cheat Sheet

Cloud Compute Cheat Sheet

Back to Cloud Computing
Updated 2026-05-25
Next Topic: Cloud Computing Basics Cheat Sheet

Cloud compute refers to the on-demand provisioning of computing resources (processors, memory, storage, and networking) from cloud providers as virtual machines or bare metal instances. It enables organizations to scale computational capacity dynamically without upfront hardware investment, paying only for what they use. At its core, cloud compute transforms fixed infrastructure costs into variable operational expenses while offering unprecedented flexibility in resource allocation. The 2026 generation of instances — including Graviton4-powered M8g/C8g/R8g, Intel Xeon 6-based M8i/C8i/R8i, and NVIDIA Blackwell P6 families — delivers 20–40% better price-performance than their predecessors, making generation migration one of the highest-ROI optimizations available. The fundamental distinction between instance types — general purpose, compute optimized, memory optimized, storage optimized, and accelerated computing — determines workload performance and cost efficiency, making instance selection the single most important decision in cloud architecture.

What This Cheat Sheet Covers

This topic spans 15 focused tables and 107 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Instance Type FamiliesTable 2: Pricing ModelsTable 3: Processor ArchitecturesTable 4: Scaling StrategiesTable 5: Instance Lifecycle OperationsTable 6: Instance ConfigurationTable 7: Burstable PerformanceTable 8: Enhanced NetworkingTable 9: Storage OptionsTable 10: Network & IP ManagementTable 11: Health & MonitoringTable 12: Rightsizing & OptimizationTable 13: Security & ComplianceTable 14: Instance Access MethodsTable 15: Specialized Workloads

Table 1: Instance Type Families

Instance families group EC2 configurations by their primary optimization target. Choosing the wrong family — for example, a general purpose instance for a memory-bound database — is one of the most common and expensive cloud misconfigurations. Each family has a corresponding optimal CPU-to-memory ratio that determines which workloads it serves best.

FamilyExampleDescription
General Purpose
AWS m8g.xlarge (Graviton4)
Azure D-series
GCP n2-standard-4
• Balanced CPU-to-memory ratio (1:4) for web servers, small databases, and development environments
• latest M8g/M8i/M8a generation in 2026 delivers ~30% better performance over M7 at similar cost
Compute Optimized
AWS c8g.2xlarge (Graviton4)
Azure F-series
GCP c2-standard-8
• High CPU-to-memory ratio (1:2) for batch processing, HPC, gaming servers, and CPU-intensive workloads
• C8 family launched in 2026 with Intel Xeon 6 and Graviton4 variants
Memory Optimized
AWS r8g.4xlarge (Graviton4)
Azure E-series
GCP m2-ultramem-208
• High memory-to-CPU ratio (1:8+) for in-memory databases, real-time analytics, and large caching tiers
• R8g offers up to 192 vCPUs and 1,536 GiB with DDR5-5600 memory
Storage Optimized
AWS i4i.8xlarge
Azure L-series
GCP n2-highmem-80
• High-performance NVMe SSD storage for NoSQL databases, data warehousing, and log processing requiring sustained IOPS
• I8ge adds Graviton4 and third-gen Nitro SSDs in 2026.

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