Database Rightsizing Recommendation is a cost-optimization service designed to analyze database workloads and recommend optimal instance types, storage configurations, and pricing models to eliminate overprovisioning and reduce cloud spend without... Read More
Author: Zarthi PvtLtd
MongoDB logging is critical for monitoring, auditing, troubleshooting, performance analysis, and security compliance in cloud and on-prem environments. Use for: User authentication tracking Role changes Data access events Compliance (ISO, SOC2, HIPAA) Service Objectives Enable operational logging Configure... Read More
Zarthi helps you reduce Azure Kubernetes Service (AKS) costs by scheduling cluster nodes and workloads based on actual usage. This minimizes idle compute expenses while keeping your containerized applications scalable,... Read More
Ingestion Trigger Timestamp validation ensures that data ingestion pipelines correctly capture, record, and process the exact time at which data is received or triggered within a system. Zarthi’s Quality Assurance... Read More
GCP App Engine Rightsizing focuses on optimizing application resource allocation to eliminate overprovisioning and reduce unnecessary cloud spend. Zarthi analyzes CPU utilization, memory usage, instance hours, scaling behavior, request patterns,... Read More
Zarthi helps you optimize Azure Functions by scheduling executions based on real workload needs. This reduces unnecessary compute usage, lowers cloud costs, and keeps your serverless applications efficient, reliable, and... Read More
Zarthi helps you optimize GKE (Google Kubernetes Engine) costs by scheduling cluster nodes and workloads based on real usage. This reduces idle compute costs while keeping containerized applications scalable, reliable,... Read More
Zarthi helps you reduce Azure Virtual Machine costs by automatically scheduling VMs to start and stop based on actual usage. This avoids paying for idle compute time while keeping your... Read More
Zarthi helps you optimize AWS EKS (Elastic Kubernetes Service) costs by scheduling cluster resources and workloads based on actual usage. This reduces idle node and compute costs while keeping containerized... Read More
Zarthi helps you reduce AWS EC2 costs by automatically scheduling instances to start and stop based on actual usage. This avoids paying for idle compute time while keeping your workloads... Read More