Cloud Cost
Optimization

Own and optimize your cloud costs with Cloudastra’s cloud cost optimization services, all from a single unified platform.

cloud cost optimization
cloud cost optimization

Features Overview

Cloud cost and performance data by team + workload + cloud and provide that dataset to engineers and FinOps to understand the true TCO. Recommendations will include information that allows users to make changes to better align cost and usage of cloud resources. Under cost governance, we help to provide simpler governance of the cloud costs and under management services, we ensure that AWS management services are integrated effectively. In real-time scenarios, there is a possibility to find out if something deviates from the optimal solution, then apply cloud cost optimisation rules automatically.

Understand Your Total Cost of Service Ownership in a Single Platform

  • Quickly check actuals for jobs on all the major AWS, Azure, and Google Cloud providers as well as select SaaS vendors like Snowflake, Databricks and MongoDB.
  • Use the FinOps FOCUS prepared cost data import into Cloudastra to track all spending
  • Allocate costs to individual teams, services, and projects—go down to a resource level for better optimization.
  • Utilize automated tag pipelines to ensure proper cost tagging across all the cloud services to guaranty an infinite level of accuracy.

Unlock Container & Kubernetes Cost Allocation

Make the most of Cloudastra containers on AWS, GCP, and Azure for cost control implemented through easy and effective cloud cost optimization.
Cut the cost of different containers by subdividing cost per cluster, namespace, pod, and utilization per workload.
Get complete control over application costs and service expenses supported on common operating environments

Equip Engineering Teams to Drive Cost Efficiency

Cloudastra enables your engineers to take full ownership of cloud expenses and optimize spend with precision:

intuitive cost dashboards

Intuitive Cost Dashboards

Wrap advanced services on the surface of the application with daily costs of intuitive dashboards, PowerPacks, and notebooks for visibility.

dynamic kpi tracking

Dynamic KPI Tracking

Take advantage of flexible performance and cost tracking KPIs to identify changes in an organisation’s cost figures.

finops-engineering integration

FinOps-Engineering Integration

Integrate FinOps with engineering to ensure there is a flow of cost information and reporting between the two parties.

self-service optimization

Self-Service Optimization

Deliver self-service cost optimization through a centralized Software Catalog and enable teams in right-sourcing.

Reduce Cloud Spend with Automated Recommendations

Supports Infrastructure Monitoring and APM modules undoubtedly with Cloudastra.

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Lastly, increase efficiency with recommendations of having billing data from your providers related to the observability metrics that Cloudastra offers for you.
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Continuing with the optimizing thoughts dashboard, view and design contents studied in the Software Catalog and Powerpacks, and bear in mind the cost consciousness.
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Achieving cloud cost optimization by identifying and replacing such unproductive or inactive services, which can also be considered as orphan instances.

FAQs

Cloud cost optimization FAQs

What makes Cloudastra's cloud cost optimization services unique?

Cloudastra provides cloud cost optimization from a single unified platform that covers AWS, Azure, Google Cloud, and SaaS vendors like Snowflake, Databricks, and MongoDB. Our platform offers real-time cost visibility with automated tag pipelines ensuring infinite accuracy across all cloud services. We integrate FinOps FOCUS prepared cost data and provide automated recommendations based on observability metrics. Our solution combines Infrastructure Monitoring and APM modules to deliver comprehensive cost optimization with precision resource-level allocation.

Which cloud platforms does Cloudastra support for cost optimization?

Cloudastra supports all major cloud providers including AWS, Azure, and Google Cloud Platform for comprehensive cost optimization. We also integrate with select SaaS vendors like Snowflake, Databricks, and MongoDB to provide complete visibility into your cloud spending. Our platform includes specialized container and Kubernetes cost allocation across AWS, GCP, and Azure. We ensure seamless AWS management services integration and provide unified cost tracking across multi-cloud environments.

How does Cloudastra help with container and Kubernetes cost optimization?

Cloudastra provides detailed container cost breakdown by subdividing expenses per cluster, namespace, pod, and workload utilization across AWS, GCP, and Azure. Our platform gives you complete control over application costs and service expenses in common operating environments. We enable easy and effective cloud cost optimization for containerized workloads. Our solution helps identify optimization opportunities at the granular level for maximum cost efficiency in container environments.

How does Cloudastra enable engineering teams to manage cloud costs effectively?

Cloudastra equips engineering teams with intuitive dashboards, PowerPacks, and notebooks for daily cost visibility and ownership. We provide flexible performance and cost tracking KPIs to identify changes in organizational cost figures. Our platform integrates FinOps with engineering to ensure seamless cost information flow and reporting between teams. We deliver self-service cost optimization through a centralized Software Catalog, enabling teams to make informed right-sourcing decisions.

What automated recommendations does Cloudastra provide for cloud cost optimization?

Cloudastra delivers automated recommendations by combining billing data from your cloud providers with observability metrics from our platform. Our system identifies and replaces unproductive or inactive services, including orphan instances, for immediate cost savings. We provide optimization insights through dashboards integrated with our Software Catalog and PowerPacks for cost-conscious decision making. Our automated recommendations help achieve continuous cloud cost optimization by detecting deviations from optimal solutions in real-time