Melbourne IT Operations Summit 2025

As the rate of change in the tech space accelerates, IT operations must evolve to keep pace with new technologies, security challenges, and ever-changing business requirements. This keynote explores strategic trends driving operational excellence in the next decade.

- Identifying emerging technologies that will redefine IT Ops
- Balancing operational efficiency with innovation and agility
- Shaping a future-ready IT operations culture

Increasing cyber threats put security at the forefront of all IT decisions, yet operations teams must also keep systems running at peak efficiency. Leaders in IT security, infrastructure, and operations debate how to maintain both security and performance.

- Embedding security best practices into day-to-day operations
- Aligning security frameworks with business-critical uptime needs
- Collaborating across departments to ensure a unified security-operations strategy

In this innovative session, attendees will be faced with a series of scenarios that they may face in their roles. Attendees will discuss the possible courses of action with their peers to consider the ramifications of each option before logging their own course of action.

Results will be tallied and analysed by our session facilitator and results will impact the way the group moves through the activity.

Will we collectively choose the right course of action?

In this practical session, an industry practitioner shares how they tackled budget overruns using FinOps best practices to regain visibility, control, and predictability over cloud spending.
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- Identifying the root causes of unexpected cloud expenses and implementing targeted cost controls
- Fostering a culture of shared responsibility and financial accountability among development and operations teams
- Using real-time analytics and dashboards to optimize resource utilisation and forecast future spend

A leading technology provider demonstrates how they bridged decades-old on-prem systems with modern, automated infrastructure. By integrating AI and infrastructure-as-code principles, they transformed a patchwork of legacy processes into a streamlined, proactive environment.
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- Unifying outdated architectures with AI-assisted infrastructure management for consistent, automated deployments
- Reducing human error and manual overhead by defining robust infrastructure-as-code practices
- Proactively identifying and resolving system conflicts through intelligent alerts and self-healing processes

As IT environments grow more complex, observability becomes crucial for diagnosing issues and ensuring optimal performance. This panel brings together DevOps engineers, IT Operations Managers, and enterprise architects to share their approaches.

- Implementing end-to-end observability tools for seamless visibility
- Balancing cost, performance, and reliability in a multi-cloud world
- Creating feedback loops for continuous improvement and incident prevention

Select a topic of discussion and engage in an interactive roundtable discussion with a group of your like-minded peers.

As we adopt AI technologies, IT operations teams look for ways to predict failures, automate responses, and optimise resource usage. Learn how AI can detect anomalies before they cascade into major incidents, enabling self-healing infrastructures that reduce costs and keep systems running smoothly.

- Leveraging machine learning models for real-time anomaly detection and proactive alerting
- Implementing automated remediation to resolve issues without manual intervention
- Balancing AI-driven decisions with human oversight to ensure trust, transparency, and effectiveness

In this interactive session, participants discuss five emerging or polarising trends in IT operations. Attendees will share perspectives, ask questions, and debate the potential impacts of each trend.

- AI-Driven Automation vs. Human-Centric Control – Striking the right balance between automated processes and human oversight
- Multi-Cloud vs. Single-Cloud Strategies – Evaluating complexity, cost, and vendor lock-in against flexibility and innovation
- Decentralised Infrastructure vs. Centralised Governance – Weighing agility against the need for stringent oversight and consistency
- Edge Computing vs. Traditional Data Centers – Understanding workloads, latency requirements, and real-world ROI
- Low-Code/No-Code vs. Traditional Development – Addressing speed to market, maintenance challenges, and IT operation responsibilities