A developer details their journey through three load testing approaches for a high-traffic election website, focusing on cost-effective scalability.
A technical analysis comparing the cost of different large-scale Azure network architectures, focusing on hub-and-spoke designs and Virtual WAN.
A guide to using Azure Cost Management and Budgets for monitoring, analyzing, and optimizing cloud spending to prevent cost overruns.
Five practical strategies to reduce Datadog logging costs by optimizing ingestion, indexing, retention, and using metrics.
A guide to reducing Azure Virtual Desktop costs by 30-70% through VM SKU selection, auto-scaling, and host pool optimization.
Argues that cloud strategy should be a business decision based on growth, not just an engineering cost optimization.
A guide to using the Azure Cost Optimization Workbook for managing and reducing cloud spending in Azure environments.
Analyzes the rising costs and diminishing value of traditional observability tools, exploring the 'cost multiplier' effect of using multiple overlapping telemetry systems.
Strategies and best practices for optimizing AWS compute costs, including right-sizing instances, choosing the latest generations, and using autoscaling.
Strategies for optimizing Amazon RDS costs on AWS, including right-sizing instances, storage optimization, and using Graviton processors.
A guide on how to model and calculate DynamoDB costs during the design phase to make informed architectural decisions.
Explains how to configure Google Kubernetes Engine Autopilot to prefer using cost-saving Spot VMs for workloads, with fallback to regular nodes.
A guide to reducing AWS serverless costs using commitment-based pricing for CloudFront, Lambda, and DynamoDB, and downgrading S3 storage.
Tips for managing and optimizing costs within a limited-time Microsoft Azure Sponsorship Subscription for learning purposes.
A guide to selecting and optimizing AWS Compute Savings Plans for serverless workloads like Lambda and Fargate to reduce costs.
A guide to setting up cost-effective, on-demand load testing using Locust and Heroku for web applications.
How Twitter built LongTermMetrics (LTM), a system that identified and shipped millions in cost savings by analyzing JVM metrics.
A guide to analyzing and reducing AWS Lambda costs through tagging, monitoring, and understanding pricing models.
Explains how monitoring API performance in AWS Lambda is crucial to prevent unexpected costs and timeouts in serverless applications.
Analyzes technical and cost scenarios where serverless computing, particularly AWS Lambda, may not be the optimal architectural choice.
