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The age of AI runs on Platform Engineering
The age of AI runs on Platform Engineering
28 October 2026
For groups and bundle discounts, please reach out to liveday@platformcon.com
In collaboration with
350+
350+
Attendees
Attendees
20+
100+
20+
Speakers
Enterprise teams
Speakers
50+
20+
50+
Enterprise teams
Speakers
Enterprise teams
5000+
Flat whites
Why attend PlatformCon
Why attend PlatformCon
From London to Sydney with ❤️
A quick conversation from Live Day London's booth floor, one of dozens of moments from the day
A quick conversation from Live Day London's booth floor, one of dozens of moments from the day
Join enterprise teams from
Legendary speakers
Legendary speakers
James Jarvis
CEO, ClearRoute
Manjunath Bhat
Research VP, Software Engineering Practice, Gartner
Olga Mirensky
Senior Staff Site Reliability Engineer, Ping Identity
Kush Shah
Platform Lead, Fortescue
Luca Galante
Core contributor, Platform Engineering
PlatformCon Sydney focus areas
PlatformCon Sydney focus areas
A full day of platform engineering
A full day of platform engineering
Time
Main Stage
Workshop Room 1
Workshop Room 2
Roundtables
9:00 AM
9:30 AM
10:00 AM
10:30 AM
11:00 AM
11:30 AM
12:00 PM
12:30 PM
1:00 PM
1:30 PM
2:00 PM
2:30 PM
3:00 PM
3:30 PM
4:00 PM
4:30 PM
5:00 PM
Opening keynote: Agentic AI doesn't need smarter models — it needs a platform
☕🥐☕🥐☕🥐☕🥐☕🥐☕🥐
Break
12:00 PM • 90 minLunch
☕🥐☕🥐☕🥐☕🥐☕🥐☕🥐
Break
Closing panel: The future of platform engineering and what to build next
4:30 PM • 60 minBooth crawl and drinks
How a mining company runs Kubernetes for 300 developers across remote sites (Mining sector case study)
Adapt platform engineering to support the agent development life cycle (ADLC)
Shift down, not left: Why we merged security and observability into one platform team (Product strategy case study)
How an Australian bank built AI guardrails its auditors actually trust (Finance sector case study)
Security panel: How to secure your platform when time to exploit becomes negative
How we cut incident response from 4 hours to 12 minutes with unified observability (Energy sector case study)
Reaching 90% adoption rate for our self-service platform without a mandate (Internal product marketing case study)
1,000 apps, one platform team: How self-service for business users (citizen devs) actually worked
Kill the ticket queue: build a self-service infra request flow with guardrails
CI/CD speed run: find and fix your slowest pipeline
Policy as code in 60 minutes: Guardrails your developers won't route around
Build your first golden path: A hands-on template for self-service deployment
Secure AI-assisted development: Build guardrails for coding agents in regulated industries
From zero to AI sandbox: stand up a private LLM inference platform in 60 minutes
Observability triage: Debug a broken production incident (live)
Build an ephemeral credential vault for AI agent runtimes
Benchmarking how well your platform supports autonomous AI agents
Where do you actually trust AI to operate your platform unsupervised?
Regulated AI: What Australian financial-services platform teams are actually doing
Security in practice: What broke when AI agents got production access
Build vs buy in 2026: platform tooling & agent infrastructure
Time
Main Stage
Workshop Room 1
Workshop Room 2
Roundtables
9:00 AM
9:30 AM
10:00 AM
10:30 AM
11:00 AM
11:30 AM
12:00 PM
12:30 PM
1:00 PM
1:30 PM
2:00 PM
2:30 PM
3:00 PM
3:30 PM
4:00 PM
4:30 PM
5:00 PM
Opening keynote: Agentic AI doesn't need smarter models — it needs a platform
☕🥐☕🥐☕🥐☕🥐☕🥐☕🥐
Break
12:00 PM • 90 minLunch
☕🥐☕🥐☕🥐☕🥐☕🥐☕🥐
Break
Closing panel: The future of platform engineering and what to build next
4:30 PM • 60 minBooth crawl and drinks
How a mining company runs Kubernetes for 300 developers across remote sites (Mining sector case study)
Adapt platform engineering to support the agent development life cycle (ADLC)
Shift down, not left: Why we merged security and observability into one platform team (Product strategy case study)
How an Australian bank built AI guardrails its auditors actually trust (Finance sector case study)
Security panel: How to secure your platform when time to exploit becomes negative
How we cut incident response from 4 hours to 12 minutes with unified observability (Energy sector case study)
Reaching 90% adoption rate for our self-service platform without a mandate (Internal product marketing case study)
1,000 apps, one platform team: How self-service for business users (citizen devs) actually worked
Kill the ticket queue: build a self-service infra request flow with guardrails
CI/CD speed run: find and fix your slowest pipeline
Policy as code in 60 minutes: Guardrails your developers won't route around
Build your first golden path: A hands-on template for self-service deployment
Secure AI-assisted development: Build guardrails for coding agents in regulated industries
From zero to AI sandbox: stand up a private LLM inference platform in 60 minutes
Observability triage: Debug a broken production incident (live)
Build an ephemeral credential vault for AI agent runtimes
Benchmarking how well your platform supports autonomous AI agents
Where do you actually trust AI to operate your platform unsupervised?
Regulated AI: What Australian financial-services platform teams are actually doing
Security in practice: What broke when AI agents got production access
Build vs buy in 2026: platform tooling & agent infrastructure
Discussions
Insights
Trainings
Roundtables
Community
