Professional calculators for cloud resource planning and cost optimization
Compare cloud instance types across vCPU, RAM, and cost to find the best value for your workload.
CompareEstimate cloud storage costs for AWS S3, Google Cloud Storage, and Azure Blob Storage.
CalculateEstimate network latency between cloud regions to optimize application performance.
EstimateCalculate CIDR ranges, subnet masks, and IP allocations for VPC and network planning.
CalculateCalculate Kubernetes CPU and memory limits, requests, and node sizing requirements.
CalculateCalculate load balancer capacity, connections, and LCU requirements for optimal scaling.
CalculateCalculate CDN cache hit ratios, bandwidth savings, and cost reduction from caching.
CalculateConvert between on-demand, reserved, and spot pricing to optimize cloud spending.
ConvertCloud 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.
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.
Cloud providers offer multiple storage tiers optimized for different access patterns:
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.
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.
Kubernetes uses resource requests and limits to manage container resources:
AWS Application Load Balancers charge based on LCUs, which measure the following dimensions:
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.