CONFERENCE DAY ONE

Day 1 Sessions

8:00 am - 9:45 am Registration & Coffee

8:00 am - 8:15 am Opening Remarks

9:00 am - 9:30 am Opening Panel - Executive Observability Strategy: Decisions, Trade offs, and Direction

This exclusive panel brings together senior technology leaders to discuss how observability fits into modern engineering strategy. Moving beyond tools and dashboards, the conversation focuses on executive level decision making: ownership, investment priorities, and how observability supports reliability, platform strategy, and business risk management at scale.
• How C suite leaders define and own observability strategy, including governance, accountability, and success metrics
• How to set investment direction at scale, navigating tool consolidation, platform alignment, and cost
• How observability supports executive priorities, like incident risk and resilience

9:30 am - 10:00 am Building ITV's AI Agent Hub: Audit-Ready Assistants, Safer Usage, Better Self-Serve

Tom Haynes - Lead Platform Engineer, ITV

As AI tools spread across the enterprise, ITV's platform engineering team faced a familiar challenge: high potential value, but real risk around visibility, governance, and liability. Tom has been leading the build of ITV's new AI Agent Hub - an MVP now in controlled testing - designed to give teams a single, ITV-tailored place to access approved assistants, accelerate day-to-day work, and reduce "dark AI" usage. Powered by the platform foundations ITV has laid across Kubernetes, shared templates, and OpenTelemetry, the hub aims to make AI adoption traceable by default, so the organisation can confidently scale usage while protecting content, users, and the business.

• Centralising approved agents to reduce shadow AI and standardise safe usage patterns
• Capturing prompts, outputs, and artefacts via Open Telemetry for traceability and liability defence
• Using RAG to keep documentation searchable, current, and useful for busy teams


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Tom Haynes

Lead Platform Engineer
ITV

10:00 am - 10:30 am Panel Discussion – The Great Shift from Monitoring to Observability: What Actually Changes in Teams, Workflows & Culture?

Andy Slater - Lead on Automation & Observability, Specsavers

As systems become more distributed and change happens faster, "more dashboards" doesn't equal better reliability. The real shift is organisational: who owns signals, how teams respond, and how observability drives prioritisation rather than noise.

• Defining ownership models that turn signals into action and facilitating the culture shift along with it.
• Killing noise by redesigning alerting around journeys, not infrastructure
• Proving value through faster recovery, safer change, and clearer priorities


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Andy Slater

Lead on Automation & Observability
Specsavers

10:30 am - 11:00 am Morning Coffee Break

11:30 am - 12:00 pm Mission 40: Reducing Operational Toil and Rebuilding Reliability at Pfizer

Fuat Müminoğlu - Hosting SRE Operations Director, Pfizer

Pfizer's SRE teams faced rising complexity, constant interruptions, and high reliability expectations across research, manufacturing, and enterprise systems. Mission 40 tackled this head-on, aiming to cut operational workload by 40% across multiple teams while also migrating away from a costly vendor low-code platform to in-house automation. With 18 years of experience, Fuat Müminoğlu takes you inside the strategy, mindset, and execution that made this possible in just one year. Learn how careful prioritisation, multi-team collaboration, and targeted automation turned a massive challenge into clear, measurable impact, including the creation of a Continuous Improvement engine that scaled Mission 40's practices across the organization.

As a next step after Mission 40, AI is now being applied to further boost opportunity identification and prioritisation, accelerating improvements on top of the foundations laid during the original project.
• Moving critical automations in-house while maintaining operational stability.
• Driving cultural and process changes that outlast a single project, not just implementing tools or automation.
• Applying AI as a next-level enhancement to continuously identify and prioritise improvement opportunities.


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Fuat Müminoğlu

Hosting SRE Operations Director
Pfizer

12:00 pm - 12:30 pm Panel Discussion - What Does SRE Mean Now? The Enterprise Interpretation

Most organisations adopt SRE principles without adopting the "classic" model - and that's often the right call. The challenge is avoiding confusion, bottlenecks, and "SRE as the dumping ground" by agreeing what SRE is there to enable.

• Agreeing SRE's purpose: enablement, shared ownership, or embedded support
• Using SLOs to prioritise work without turning reliability into politics
• Designing on-call boundaries so accountability is clear and scalable


12:30 pm - 1:30 pm Lunch

1:30 pm - 2:00 pm Beyond the Price Tag: The Hidden Value Metrics That Justify Modern SRE

Panos Tsilopoulos - Director - Observability Platform Engineering, Nike

As cloud costs climb, SRE leaders must justify every engineering spend. Yet the real value of SRE often sits outside traditional cost metrics. Panos, Head of SRE at Nike, highlights the broader impact - from platform simplification and happier developers to better user experiences and smarter insights from telemetry. His approach shows how reframing these metrics can shift SRE from a cost centre to a strategic advantage.
• Understanding real user behaviour, demand spikes, performance hotspots and regional constraints in large global enterprises.
• Analysing alternative metrics such as reduced operational complexity, platform consolidation, lower maintenance burden and simplification of systems.
• Exploring how faster development cycles, lower cognitive load, fewer interruptions and higher end user satisfaction improve the overall digital ecosystem.

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Panos Tsilopoulos

Director - Observability Platform Engineering
Nike

2:30 pm - 3:00 pm Panel Discussion - FinOps Meets SRE: Predictable Spend Without Blind Spots

Telemetry costs can rise faster than reliability improves - especially when nobody owns the trade-offs. Leaders need decision rules that balance visibility, performance, and risk while keeping spend predictable and accountable.
• Setting telemetry policy: minimum standards, exceptions, and enforcement
• Aligning cost, performance, and risk trade-offs with shared governance
• Using business metrics finance trusts, not observability vanity reporting

3:00 pm - 3:30 pm Afternoon Coffee Break

3:30 pm - 4:00 pm Greening SRE: Turning Observability, Efficiency and AI into Sustainable Engineering

Ruben Vilhena - Head of Software Development, Smartest Energy

Engineering teams are racing to cut carbon and build smarter, greener systems, and a new space is opening up where SRE can lead the way. With hands on experience rolling out observability, improving pipelines and moving from FinOps to GreenOps, Ruben Vilhena delves into how reliability and sustainability can work together. With AI magnifying both strong and weak engineering habits, creating cost-effective energy aware systems has become one of the most exciting challenges in modern tech.
• Leveraging observability, metrics and deep dive insights to identify carbon hotspots and operational inefficiencies across systems.
• Applying practical GreenOps principles to pipelines, architectures and testing workflows to reduce energy usage and costs while improving performance.
• Evaluating how AI can augment sustainable engineering practices to amplify strong processes and expose weaknesses.

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Ruben Vilhena

Head of Software Development
Smartest Energy

4:00 pm - 4:30 pm From Black Box to Glass Box: The Observability Blueprint Behind Barclays' AI Agents

Andy McMahon - Director - Principal AI & MLOps Engineer, Barclays

As Barclays expands the use of AI agents across its internal platforms, observability is becoming the foundation that turns experimentation into safe, scalable capability. By embedding observability into the architecture from day one and working in lockstep with security and engineering governance, Andy's team can monitor how agents behave, what data they touch, and where usability gaps emerge in real time. This deeper visibility is enabling the bank to boost productivity and respond to issues faster in a rapidly evolving AI landscape, all while maintaining compliance.

• Monitoring AI agents with integrated observability that reveals behaviour, data usage patterns and real world performance
• Collaborating across security, architecture and platform teams to ensure AI adoption aligns with governance, compliance and organisational standards
• Improving productivity and user experience by rapidly identifying usability gaps and driving targeted interventions

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Andy McMahon

Director - Principal AI & MLOps Engineer
Barclays

4:30 pm - 5:00 pm Panel Discussion: AI in Engineering Work: Productivity Boost or Reliability Risk?

Andy McMahon - Director - Principal AI & MLOps Engineer, Barclays

AI is already changing how teams write code, investigate incidents, and ship changes - but adoption stalls when trust is low and governance is unclear. Leaders need clarity on where AI helps today, where it introduces new risk, and how to roll it out responsibly.
• Identifying safe, high-value AI use cases across engineering workflows
• Defining guardrails: access, approvals, auditability, and blast-radius limits
• Building trust through evaluation: quality, MTTR impact, and false positives

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Andy McMahon

Director - Principal AI & MLOps Engineer
Barclays

5:10 pm - 7:10 pm Drinks Reception