Cloud Infrastructure Tools
Professional calculators for cloud resource planning and cost optimization
Instance Type Comparator
Compare cloud instance types across vCPU, RAM, and cost to find the best value for your workload.
CompareStorage Cost Calculator
Estimate cloud storage costs for AWS S3, Google Cloud Storage, and Azure Blob Storage.
CalculateRegion Latency Estimator
Estimate network latency between cloud regions to optimize application performance.
EstimateCIDR Calculator
Calculate CIDR ranges, subnet masks, and IP allocations for VPC and network planning.
CalculateContainer Resource Calculator
Calculate Kubernetes CPU and memory limits, requests, and node sizing requirements.
CalculateLoad Balancer Calculator
Calculate load balancer capacity, connections, and LCU requirements for optimal scaling.
CalculateCDN Cache Calculator
Calculate CDN cache hit ratios, bandwidth savings, and cost reduction from caching.
CalculateCloud Pricing Converter
Convert between on-demand, reserved, and spot pricing to optimize cloud spending.
ConvertAutoscaling Threshold Planner
Plan min/max instances, scale steps, and cooldowns from baseline and burst traffic.
PlanServerless Cost Estimator
Estimate request and compute charges for function workloads using invocation and runtime profiles.
EstimateCloud Egress Cost Estimator
Model internet and inter-region data transfer costs for AWS, Azure, and Google Cloud.
EstimateMulti-Region Resilience Calculator
Estimate downtime reduction and availability gains from deploying across multiple regions.
CalculateUnderstanding Cloud Infrastructure
Cloud infrastructure tools help organizations plan, deploy, and optimize their cloud resources across AWS, Google Cloud, and Azure. These calculators provide data-driven insights for capacity planning, cost optimization, and performance tuning.
Key Cloud Concepts
Compute Resources
Virtual machines (instances) are the fundamental compute unit in cloud platforms. Each instance type offers different combinations of vCPU, memory, storage, and network performance. Choosing the right instance type balances performance needs with cost efficiency.
Storage Classes
Cloud providers offer multiple storage tiers optimized for different access patterns:
- Standard: Frequent access, low latency, higher cost
- Infrequent Access: Occasional access, lower cost
- Archive: Long-term storage, lowest cost, higher retrieval fees
Network Latency
Latency is the time it takes for data to travel between two points. It's affected by geographic distance, network quality, and routing. Lower latency improves user experience and application performance.
CIDR Notation
Classless Inter-Domain Routing (CIDR) is a method for allocating IP addresses and routing. CIDR notation (e.g., 10.0.0.0/16) specifies an IP address range, with the number after the slash indicating the network prefix length.
Container Resource Management
Kubernetes uses resource requests and limits to manage container resources:
- Requests: Guaranteed resources reserved for the container
- Limits: Maximum resources the container can use
Load Balancer Capacity Units (LCU)
AWS Application Load Balancers charge based on LCUs, which measure the following dimensions:
- New connections per second
- Active connections per minute
- Processed bytes (bandwidth)
- Rule evaluations
CDN Cache Hit Ratio
The cache hit ratio is the percentage of requests served from CDN cache rather than the origin server. A higher hit ratio reduces origin load, improves response times, and lowers bandwidth costs.
Cloud Pricing Models
- On-Demand: Pay per hour/second, no commitment, most expensive
- Reserved: 1-3 year commitment, 30-70% discount
- Spot: Spare capacity, up to 90% discount, can be interrupted
Cost Optimization Tips
- Right-size instances to match workload
- Use reserved instances for steady workloads
- Leverage spot instances for flexible workloads
- Choose appropriate storage tiers
- Enable CDN caching
- Monitor and optimize data transfer
Performance Tips
- Deploy in multiple regions
- Use load balancers for high availability
- Implement CDN for global content delivery
- Optimize container resource allocation
- Monitor latency and response times
- Use auto-scaling for variable loads
Planning Checklist
- Estimate resource requirements
- Calculate monthly costs
- Plan network architecture
- Design for high availability
- Consider data residency requirements
- Implement monitoring and alerting