Many organizations don’t take full advantage of reserved instances, which can save up to 70% on cloud costs compared to pay-as-you-go pricing. It’s surprising how a little planning can lead to significant savings. Are there any strategies you’ve found effective for leveraging reserved instances in your own cloud usage?
I’ve found that doing a deep dive into usage patterns can really help in picking the right types of reserved instances. Sometimes it pays to manage commitments based on expected growth, rather than locking in longer terms too early. What types of workloads have you seen benefit the most from reserved instances?
For us, planning around peak usage times has maximized our savings — it’s really about aligning our reserved instances with expected workloads. > ‘What types of workloads have you seen benefit the most?’ In my experience, steady-state applications are the sweet spot. How do you usually track your usage patterns?
You mentioned the sweet spot; I really pay attention to trends over time, not just the peak hours. It helps us avoid overcommitting during off-peak periods. How do you usually monitor those shifts in demand?