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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
9:00 AM
Opening keynote: Agentic AI doesn't need smarter models — it needs a platformMain Stage
9:30 AM
Deploying through the Purdue model: Platform Engineering in a live mineMain Stage
Kill the ticket queue: build a self-service infra request flow with guardrailsWorkshop Room 1
Secure AI-assisted development: Build guardrails for coding agents in regulated industriesWorkshop Room 2
Benchmarking how well your platform supports autonomous AI agentsRoundtables
10:00 AM
Adapt platform engineering to support the agent development life cycle (ADLC)Main Stage
Where do you actually trust AI to operate your platform unsupervised?Roundtables
10:30 AM
Break30 min
11:00 AM
Shift down, not left: Why we merged security and observability into one platform team (Product strategy case study)Main Stage
CI/CD speed run: find and fix your slowest pipelineWorkshop Room 1
From zero to AI sandbox: stand up a private LLM inference platform in 60 minutesWorkshop Room 2
Regulated AI: What Australian financial-services platform teams are actually doingRoundtables
11:30 AM
How an Australian bank built AI guardrails its auditors actually trust (Finance sector case study)Main Stage
12:00 PM
Lunch90 min
1:30 PM
Security panel: How to secure your platform when time to exploit becomes negativeMain Stage
Policy as code in 60 minutes: Guardrails your developers won't route aroundWorkshop Room 1
Observability triage: Debug a broken production incident (live)Workshop Room 2
Security in practice: What broke when AI agents got production accessRoundtables
2:00 PM
How we cut incident response from 4 hours to 12 minutes with unified observability (Energy sector case study)Main Stage
2:30 PM
Break30 min
3:00 PM
Reaching 90% adoption rate for our self-service platform without a mandate (Internal product marketing case study)Main Stage
Build your first golden path: A hands-on template for self-service deploymentWorkshop Room 1
Build an ephemeral credential vault for AI agent runtimesWorkshop Room 2
Build vs buy in 2026: Platform tooling & agent infrastructureRoundtables
3:30 PM
1,000 apps, one platform team: How self-service for business users (citizen devs) actually workedMain Stage
4:00 PM
Closing panel: The future of platform engineering and what to build nextMain Stage
9:00 AM
Opening keynote: Agentic AI doesn't need smarter models — it needs a platformMain Stage
9:30 AM
Deploying through the Purdue model: Platform Engineering in a live mineMain Stage
Kill the ticket queue: build a self-service infra request flow with guardrailsWorkshop Room 1
Secure AI-assisted development: Build guardrails for coding agents in regulated industriesWorkshop Room 2
Benchmarking how well your platform supports autonomous AI agentsRoundtables
10:00 AM
Adapt platform engineering to support the agent development life cycle (ADLC)Main Stage
Where do you actually trust AI to operate your platform unsupervised?Roundtables
10:30 AM
Break30 min
11:00 AM
Shift down, not left: Why we merged security and observability into one platform team (Product strategy case study)Main Stage
CI/CD speed run: find and fix your slowest pipelineWorkshop Room 1
From zero to AI sandbox: stand up a private LLM inference platform in 60 minutesWorkshop Room 2
Regulated AI: What Australian financial-services platform teams are actually doingRoundtables
11:30 AM
How an Australian bank built AI guardrails its auditors actually trust (Finance sector case study)Main Stage
12:00 PM
Lunch90 min
1:30 PM
Security panel: How to secure your platform when time to exploit becomes negativeMain Stage
Policy as code in 60 minutes: Guardrails your developers won't route aroundWorkshop Room 1
Observability triage: Debug a broken production incident (live)Workshop Room 2
Security in practice: What broke when AI agents got production accessRoundtables
2:00 PM
How we cut incident response from 4 hours to 12 minutes with unified observability (Energy sector case study)Main Stage
2:30 PM
Break30 min
3:00 PM
Reaching 90% adoption rate for our self-service platform without a mandate (Internal product marketing case study)Main Stage
Build your first golden path: A hands-on template for self-service deploymentWorkshop Room 1
Build an ephemeral credential vault for AI agent runtimesWorkshop Room 2
Build vs buy in 2026: Platform tooling & agent infrastructureRoundtables
3:30 PM
1,000 apps, one platform team: How self-service for business users (citizen devs) actually workedMain Stage
4:00 PM
Closing panel: The future of platform engineering and what to build nextMain Stage
Discussions
Insights
Trainings
Roundtables
Community
