Cloud spending represents a growing proportion of companies' IT budgets. According to Flexera, 25% of organisations exceed their annual cloud budgets, mainly due to under-utilised or oversized resources. FinOps (Finance + Operations) is becoming a key discipline for controlling these costs while maintaining agility and performance. Here are 7 concrete strategies for optimising your cloud spend.
Setting up cloud financial governance
Establish a clear governance structure with defined roles. Implement a rigorous tagging system to accurately allocate costs to teams and projects. This will enable teams to take responsibility for their costs and make informed decisions. Create a multi-disciplinary FinOps committee to coordinate efforts between IT, finance and the business. This committee should meet regularly to review spend, identify opportunities for optimisation and define effective allocation policies.
Examples of implementation
- Definition of roles : Designate cost managers by business unit and by project to ensure proactive expense management.
- Tagging system : Use tags to identify the resources used by each team or project, making it easier to track and analyse costs.
Systematic rightsizing
Regularly analyse the actual use of your resources (CPU, memory, storage) and adjust their size accordingly. According to Flexera, 59% of organisations are over-provisioning their cloud resourceswhich leads to unnecessary costs. Set up automated processes to monitor and dynamically adjust your resources according to actual demand. This can include using scripts to detect under-utilised resources and automatically resize them.
Examples of implementation
- Regular analysis : Plan monthly audits to assess resource utilisation and identify opportunities for resizing.
- Automation : Use scripts to automatically adjust the size of instances according to peaks and troughs in demand.
Exploiting cost-effective purchasing models
Reserved instances or spot instances enable reduce costs by up to 75% compared to the on-demand model. Identify your stable and predictable workloads and migrate them to reserved instances. Use spot instances for non-critical or interruption-tolerant tasks. Combine different types of commitment to optimise your expenditure. For example, use long-term reservations for stable workloads and spot instances for flexible tasks.
Examples of implementation
- Analysis of costs : Identify applications that require constant availability and migrate them to reserved instances.
- Use of spot instances : Use spot instances for batch tasks or simulations that can be interrupted without significant impact.
Automate resource elasticity
Elasticity is a key advantage of the cloud, but it needs to be automated to maximise savings. Use auto-scaling policies to dynamically adapt your resources to actual demand. Schedule automatic shutdowns of non-productive environments (development, testing) during periods of inactivity. This can reduce the costs associated with these environments.
Examples of implementation
- Auto-scaling : Configure policies to automatically increase or decrease the number of instances depending on system load.
- Automatic stop : Schedule the shutdown of development and test environments over weekends and nights to reduce costs.
Optimising data storage and management
Storage represents a significant proportion of cloud costs. Implement lifecycle policies to automatically move infrequently used data to lower-cost storage tiers. Identify and eliminate orphaned and redundant data. Also analyse your data transfer costs between regions and optimise your application architecture to minimise these transfers.
Examples of implementation
- Lifecycle policies : Configure rules to automatically move inactive data to archived storage after a certain delay.
- Optimising transfers : Use caching solutions to reduce data transfers between regions.
Adopting cloud-native architectures
Serverless or container-based architectures enable a granular payment model and greater elasticity. An application upgraded to serverless can significantly reduce its costs. Consider gradually upgrading your applications to these architectures to improve flexibility and scalability.
Examples of implementation
- Serverless : Deploy serverless applications for tasks that do not require a constant infrastructure, such as APIs or data processing functions.
- Containers : Use containers to deploy modular, scalable applications, making it easier to manage resources.
Implementing a FinOps culture is an ongoing process. These strategies will enable you to transform your cloud expenditure into optimised investments, maximising the value created by each euro invested in the cloud.