Harness significantly reduced its Google Cloud Platform (GCP) logging costs by identifying and minimizing unnecessary log volumes, implementing log exclusions, and redirecting logs to more cost-effective storage solutions, leading to a 50% reduction in daily logging expenses and annual savings of over $140,000. Initially, the logging costs were around $800 per day, largely driven by log volumes from Google Kubernetes Engine (GKE) and Cloud HTTP Load Balancer. To better understand and manage these costs, Harness utilized tools like BigQuery for detailed log analysis, structured logs into JSON payloads for enhanced querying, and attributed costs to specific code areas contributing to log noise. By configuring log exclusions and reducing log volumes from particularly noisy components, the company was able to optimize its cloud logging expenses effectively. This approach not only achieved significant cost savings but also aligns with Harness's commitment to continuous cloud cost management.