Apptio, a technology spend and value management company, has introduced new FinOps capabilities to its Cloudability product family.
The advancements are designed to simplify the management and optimization of multi-cloud environments, reducing complexity for organizations.
The latest releases include expanded rightsizing and optimisation recommendations across major public cloud providers, integration with Red Hat OpenShift Service on AWS, and Cloudability Savings Automation, the updated version of Cloudwiry following Apptio’s acquisition in January 2023.
Apptio chief product officer Eugene Khvostov said: “Our customers are choosing to use more than one public cloud, and they want the advanced financial management capabilities we’ve provided on the private cloud and on-prem side across this new hybrid, multi-cloud environment.
“This release is the culmination of our team pushing the envelope of what’s possible with FinOps in a multi-cloud world, and we’ll continue to deliver deeper integration with container and cloud platforms with greater automation and performance.”
The newly launched features empower customers to deploy a consistent multi-cloud FinOps strategy while optimising financial savings.
Organisations can now gain improved visibility into resource consumption, container usage, and spending across different cloud platforms. These enhancements enable businesses to make informed decisions about resource allocation and cost optimization.
Additionally, Apptio has recently announced the availability of Cloudability Government and Cloudability Financial Planning, currently in beta, which offers financial planning and forecasting capabilities specifically tailored for multi-cloud deployments.
With the increasing adoption of cloud-native applications and the economic pressures associated with them, public cloud usage continues to rise. Consequently, more organizations are adopting FinOps practices to manage the growing costs and complexities of cloud environments.
According to Apptio Cloudability usage data, over 40% of organizations now utilize a multi-cloud approach. FinOps practitioners aim to maximize the value of every dollar spent by improving efficiency, optimization, and overall cost control across cloud platforms.
Apptio’s Cloudability, through its enhanced Kubernetes integration, provides valuable insights into container usage and spending, particularly with Red Hat OpenShift Service on AWS. This functionality enables users to identify areas of inefficiency or overspending and receive recommendations for right-sizing resource utilization and cost savings.
Building upon existing capabilities for container cost management and allocation in the public cloud, Cloudability offers automated cluster cost mapping and intelligent resource utilisation data and allocation.
Another notable feature is Cloudability Savings Automation, which dynamically adjusts a customer’s savings instruments, such as Reserved Instances, to align with their resource usage patterns. By optimizing these savings instruments, customers can achieve maximum cost savings in the cloud.
Cloudability also extends its capabilities across major public cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Some of the specific enhancements include Azure Savings Plan Recommendations, enabling customers to analyse and optimize their Azure costs, and Google Cloud Committed Use Discounts (CUD) Recommendations, allowing users to adjust coverage levels for better cost management.
Lastly, Apptio’s Workload Planning, currently in beta, offers users the ability to model costs and select resources for various server types across Azure, AWS, and Google Cloud. This feature empowers organisations to make informed decisions about workload deployment and cost allocation.
Apptio’s enhanced FinOps capabilities in Cloudability provide organizations with a comprehensive solution for managing and optimising their multi-cloud environments. These innovations enable better cost control, increased efficiency, and enhanced visibility into cloud resource consumption, empowering businesses to make data-driven decisions and achieve significant cost savings.
