eBook

How to Get Your Engineers to Care About Cloud Costs | Harness Resource

According to Gartner, enterprise IT spending on public cloud will surpass 51% by 2025. However, despite the unparalleled scalability and flexibility the cloud offers, these benefits aren’t without consequence. Most notably around cost. To level set on how big of a problem this is, 94% of enterprises are overspending in the cloud according to a HashiCorp-Forrester report.

So what do you do? To mitigate the impact of wasteful cloud spending, organizations must prioritize cost optimization. Implementing proper cost tracking and optimization tools, leveraging automation, and adopting best practices can help reduce unnecessary expenses, improve operational efficiency, and maximize the value derived from cloud investments. Which is exactly what we seek to help you with – all you need to do is download the ebook to get started.

Published

January 1, 2024

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What you'll learn

Key Takeaways

Cloud Overspending is a Widespread Issue

A staggering 94 percent of enterprises overspend in the cloud, with 28 percent of budgets wasted on unused resources. This inefficiency severely impacts operational efficiency and return on investment.

Engineers Drive Cloud Cost Optimization

Engineers play a critical role in controlling cloud costs by designing cost-effective architectures and staying within budget constraints. Prioritizing cost-consciousness also promotes sustainable practices by reducing energy consumption.

Automation Provides Real-Time Cost Visibility

Manual tracking of cloud expenses is prone to errors and delays. Automation tools give engineering teams instant insights into resource utilization and spending trends to identify optimization opportunities.

Map Costs to Specific Teams

Attributing cloud expenses to individual projects or departments establishes financial accountability. This transparency incentivizes teams to make cost-conscious decisions and helps identify areas of high expenditure.

AutoStopping Eliminates Idle Resource Waste

Implementing automated stopping for non-production workloads can reduce cloud costs by up to 75 percent. This dynamic orchestration shuts down idle resources and brings them back online only when developers need them.

Enforce Policies with Governance-as-Code

Codifying governance rules allows organizations to automate cloud cost policies and compliance at scale. This ensures that resource right-sizing and tagging standards are consistently applied without manual intervention.