As AI adoption surges across Australian industries, rising cloud infrastructure costs are putting finance and technology departments under pressure to manage escalating spend. Apptio, an IBM company, recently launched a suite of next-generation FinOps solutions designed to help organisations adopt a proactive approach to technology business management. 

The rapid rate of AI adoption in Australian businesses has seen investment skyrocket, with sectors such as finance, healthcare and mining recording significant increases in usage. With global AI infrastructure spend projected to reach USD $571 billion by 2026, Apptio research has raised concerns that over half of business leaders lack the data to evaluate tech ROI effectively. 

While many Australian businesses are in the early stages of adopting FinOps practices, Apptio’s FinOps tools offer a timely solution to bridge the critical knowledge gap for decision makers, embedding cost governance directly into engineering workflows and delivering actionable insights across Kubernetes and multi-cloud deployments to help Australian enterprises turn cloud infrastructure into a competitive advantage. 

Cloudability Governance: Adopting a proactive approach to multi-cloud environments

Infrastructure as Code is a valuable tool for scaling cloud environments with speed and consistency. Without alignment to FinOps principles, however, rapid deployment can reduce visibility into the financial impact of infrastructure decisions across the organisation. 

Backed by IBM Cloudability, Cloudability Governance is designed to close this gap, increasing visibility into the state of cloud investment within the organisation. It empowers finance and engineering teams to embed cost control directly into their workflows, ensuring that infrastructure decisions are both technically sound and financially responsible to maximise value for the organisation.

Combining real-time cost intelligence with policy-driven provisioning, the software allows businesses to confidently manage cloud deployments, supported by AI-powered recommendations to identify and reduce inefficiencies in day-to-day operation. Aligning the AI-powered insights with strategic objectives, teams can scale their cloud investment across complex environments with an understanding of risk and value. 

Complexities of container networks: Apptio introduces Kubecost 3.0

Apptio has also introduced Kubecost 3.0, representing the most advanced evolution of Kubernetes cost management to date. As organisations scale their application management to meet local demand, Kubecost 3.0 is built to help enterprises tackle the complexities of managing this complex environment. This updated version supports businesses to streamline cost allocations and resource utilisation, enabled by comprehensive visibility over a unified resource management system.

Kubecost 3.0 goes beyond a traditional resource management tool, providing advisory support to system engineers with tailored recommendations to target inefficiencies and optimise usage across container applications. Empowering decision-makers to take action on operational insights, the updated version includes automated container right-sizing and advanced GPU optimisation powered by NVIDIA’s DCGM exporter. 

Attributed to Matt Pinter, APAC Field CTO at Apptio, an IBM Company