Tips on optimizing GitHub Copilot token usage to avoid high costs, with practical advice for developers.
Explores how Apache Iceberg decouples storage and compute for cost optimization, including multi-engine routing and TCO analysis.
Explains how to use the FOCUS 1.3 open billing standard for FinOps on data warehouses, enabling cost attribution and optimization across providers.
Guide to connecting Google BigQuery with Dremio Cloud for federated, multi-cloud analytics and cost optimization without moving data.
Guide to Azure cost optimization using the Well-Architected Framework, focusing on reducing waste without sacrificing quality.
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 developer's investigation into unexpected cost spikes from a Vertex AI resource pool, with a cautionary guide on managing cloud ML resources.
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.
Visualizing Azure Log Analytics data ingestion costs and anomalies using Microsoft Sentinel's Data collection health monitoring workbook.
