6 top cloud cost optimization issues to avoid in 2022 and how to deal with them

Cloud cost optimization remains a challenge for many organizations due to low cost visibility, complex pricing models, and difficulties estimating future demand. Overprovisioning, orphaned resources, and inefficient management of demand fluctuations are among the top issues that lead to cloud waste and unnecessary expenses. Automation can help address these challenges by enabling continuous monitoring and optimization of cloud resources, reducing manual efforts, and minimizing human-made errors. Adopting automated cloud optimization tools can improve efficiency, security, and cost savings in real-time while allowing teams to focus on more strategic tasks.