%20(1)%20(1).png)
Ongoing Cloud Costs
The advent of cloud computing has allowed us to develop faster and release more products than ever. But now, everyone started realizing that it comes with a price: we're paying far more than planned on the cloud.
Our current challenge is ongoing cloud costs management — managing and optimizing the costs due to increased innovation velocity. Let’s understand different methods to manage and reduce ongoing cloud costs.
Manual Cloud Cost Management Vs. On-Demand Data Analytics
Method 1: Manual Ongoing Cloud Cost Management
You can track the resources you use in a spreadsheet to manage cloud expenditures. This strategy is perfect when you’re spinning up 5-10 AWS EC2 instances and 3-5 S3 buckets. But it rapidly becomes a pain and impractical as you scale, especially when introducing containers.
Imagine maintaining 13 or more AWS resources. Consider what containerization would do to the complexity of maintaining these resources: you'd have to keep track of how containers and resources map to each other and their utilisation at any given time, making it challenging to generate an accurate accounting manually.
This method is ideal for those who focus on rapid growth rather than optimising costs and who use limited resources for a limited time.
Method 2: On-Demand Data Analytics Software
This method automates almost all manual work of tracking and managing ongoing cloud costs. It creates an easy way to understand cloud costs and notifies optimization opportunities. It is a better option for companies having multiple teams using multiple cloud resources. It helps teams that can't rely solely on excellent governance and tag hygiene to assess costs and keep them in check periodically.
The manual method of cloud cost management may take up to 6 months to catch, whereas, with Sense7 on-demand data analytics software, you can always stay up-to-date. Thus, businesses that want to scale in the future must opt for on-demand data analytics software for ongoing cloud costs management.
