Principal Engineer at a tech vendor with 10,001+ employees
Real User
Top 10
Oct 22, 2026
In terms of improvements needed for Amnic - Cloud Cost Observability Platform, I think mostly if we add more AI features and improve broader cost service integration, including deeper integration with more cloud-native third-party tools and support for additional SaaS cost management, it could enhance the platform. We can also add more customizable dashboards for personalized KPIs to enhance visibility, along with providing role-based views for finance and engineering executives. Lastly, enhancing forecasting with AI-based predictions, automation remediation, and more granular cost insights would be beneficial, along with adding multi-cost governance and user training or adoption tutorials to aid new users. Additionally, the best thing would be to add playbooks, tutorials, and FinOps guidelines where new users in the industry can easily understand what we are using and how to use it. Adding multi-cloud governance capability would also be greatly appreciated and helpful for any organization. I chose 8 out of 10 primarily because there are more areas to add on. I believe Amnic - Cloud Cost Observability Platform can reach 10 out of 10, but it needs to improve in specific areas such as global governance across regions and cloud providers since larger organizations seek control over financial factors. This is crucial as significant costs can increase operational overhead, prompting them to look for certain features. If basic training, AI automation integration, and multi-cloud scaling are included in Amnic - Cloud Cost Observability Platform, it could definitely improve and reach 10 out of 10. Regarding any additional improvements needed for Amnic - Cloud Cost Observability Platform that I haven't mentioned, it would help us greatly if we could receive optimization support from Amnic - Cloud Cost Observability Platform, as the current support model is something that could improve for future users and organizations.
Staff Software Engineer at a outsourcing company with 1,001-5,000 employees
Real User
Top 10
Jul 3, 2026
Over the last year, Amnic - Cloud Cost Observability Platform might have made many changes, but one thing I identified is that if I am not really used to workloads for different kinds of tech stacks, and new technologies come, it would be helpful if Amnic - Cloud Cost Observability Platform provides those feature evolutions or comparable parity. Amnic - Cloud Cost Observability Platform's governance and security are really good at this point in time, but with the AI world, things may change drastically. However, as of now, it is good. Regarding Amnic - Cloud Cost Observability Platform's AI capabilities, any AI tools will rely on past data presentations and prospects, so I would say there is about ninety-five to ninety-nine percent reliability, but manual intervention and checks still need to be there.
Learn what your peers think about Amnic - Cloud Cost Observability Platform. Get advice and tips from experienced pros sharing their opinions. Updated: November 2026.
Amnic Cloud Cost Observability Platform offers efficient cost management and insights for cloud resources, enabling businesses to optimize spending effectively.Amnic provides comprehensive observability for cloud expenditure, ensuring businesses gain visibility into their spending. It identifies cost-saving opportunities by tracking cloud usage and analyzing consumption patterns across various services, helping to streamline budgeting and financial management in cloud environments. The...
In terms of improvements needed for Amnic - Cloud Cost Observability Platform, I think mostly if we add more AI features and improve broader cost service integration, including deeper integration with more cloud-native third-party tools and support for additional SaaS cost management, it could enhance the platform. We can also add more customizable dashboards for personalized KPIs to enhance visibility, along with providing role-based views for finance and engineering executives. Lastly, enhancing forecasting with AI-based predictions, automation remediation, and more granular cost insights would be beneficial, along with adding multi-cost governance and user training or adoption tutorials to aid new users. Additionally, the best thing would be to add playbooks, tutorials, and FinOps guidelines where new users in the industry can easily understand what we are using and how to use it. Adding multi-cloud governance capability would also be greatly appreciated and helpful for any organization. I chose 8 out of 10 primarily because there are more areas to add on. I believe Amnic - Cloud Cost Observability Platform can reach 10 out of 10, but it needs to improve in specific areas such as global governance across regions and cloud providers since larger organizations seek control over financial factors. This is crucial as significant costs can increase operational overhead, prompting them to look for certain features. If basic training, AI automation integration, and multi-cloud scaling are included in Amnic - Cloud Cost Observability Platform, it could definitely improve and reach 10 out of 10. Regarding any additional improvements needed for Amnic - Cloud Cost Observability Platform that I haven't mentioned, it would help us greatly if we could receive optimization support from Amnic - Cloud Cost Observability Platform, as the current support model is something that could improve for future users and organizations.
Over the last year, Amnic - Cloud Cost Observability Platform might have made many changes, but one thing I identified is that if I am not really used to workloads for different kinds of tech stacks, and new technologies come, it would be helpful if Amnic - Cloud Cost Observability Platform provides those feature evolutions or comparable parity. Amnic - Cloud Cost Observability Platform's governance and security are really good at this point in time, but with the AI world, things may change drastically. However, as of now, it is good. Regarding Amnic - Cloud Cost Observability Platform's AI capabilities, any AI tools will rely on past data presentations and prospects, so I would say there is about ninety-five to ninety-nine percent reliability, but manual intervention and checks still need to be there.