CONFERENCE DAY TWO

Day 2 Sessions

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

8:45 am - 9:00 am Opening Chair Remarks

9:00 am - 9:30 am Presentation: From Spark to System: Operationalising Agentic AI in a Regulated, Real Time World

Federico Vrljicak - Vice President of Technology, Mastercard

As financial systems accelerate and modernize, the real breakthrough isn't whether AI can help, it's how fast you can trust autonomous agents with real operational decisions. Recently, Agentic AI has become a powerful force inside Mastercard's observability and reliability strategy, driving faster adaptation and transforming incident response. Federico deep dives on how to make agents work in the real world across fragmented data, strict regulation, and ultra low latency environments.

• Scaling agentic operations by building the muscle required for safe delegation and continuous deployment
• Navigating regulatory and architectural hurdles, including fragmented data and the need to prove business ready ROI
• Evolving traditional SRE and observability practices to support agent driven automation and real time decision making

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Federico Vrljicak

Vice President of Technology
Mastercard

9:30 am - 10:00 am Presentation: From Legacy to Self Service: Building SRE Capability in a Regulated Enterprise

Tim Sutton - Cloud Tech Lead, DLA Piper

Modernising engineering platforms inside highly regulated, legacy-heavy organisations demands a different approach to SRE, automation, and self service. In this session, Tim Sutton shares how a global legal organisation is establishing SRE as a new capability, reducing reliance on bespoke, on prem infrastructure, and introducing secure automation and AI assisted operations, all while navigating cost pressures, data governance, and client trust.
• Establishing golden paths and standardised workflows to improve resilience locally and globally
• Exploring how self service and automation can scale safely, removing day to day platform bottlenecks
• Diving into how AI can support troubleshooting and operational workflows without compromising security or governance

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Tim Sutton

Cloud Tech Lead
DLA Piper

Enterprise reliability is shaped by constraints: legacy systems, privacy requirements, regional rules, and shared services. The winning teams design for these realities rather than treating them as exceptions after incidents happen.
• Modernising safely by proving equivalence and catching regressions early
• Designing observability with privacy, retention, and residency by default
• Avoiding surveillance culture while still enabling rapid incident response

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Michael Hutcheson

Observability Product Manager
JPMorgan Chase & Co

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Frank Adu

Principal Security Engineer
Nokia

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Marius Zaharia

Cloud Tech Lead
Societe Generale

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

11:00 am - 11:30 am Lighting Up the Dark: Using Open Telemetry to Observe Legacy Systems

Thomas Barnes - Head of Observability, Global Payments

Open Telemetry is finally cracking open the "unobservable" core of legacy estates, from old IBM platforms to 1990s-era applications, giving teams the visibility they've lacked for decades. Drawing on Thomas Barnes' experience leading observability at Worldpay, shows how to instrument heritage systems, control cost through smart sampling, and turn raw telemetry into business insight that executives actually care about.

• Instrumenting legacy and IBM based workloads with OpenTelemetry to expose critical signals without invasive rewrites.
• Optimising telemetry pipelines with sampling and ingestion strategies that keep Splunk/Dynatrace costs predictable while preserving what matters.
• Elevating observability from ops metrics to merchant and revenue dashboards that align engineers, product and the business.

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Thomas Barnes

Head of Observability
Global Payments

11:30 am - 12:00 pm Observability with Intent - Turning Telemetry into Business Confidence at Pandora

Vinaya Bharathi - Senior Observability Specialist, Pandora

As Pandora scaled across regions, channels & teams - observability had to evolve from dashboards into a shared reliability capability. We will deep dive into how Pandora aligned signals to customer impact, reduced operational noise, & used observability to drive faster recovery and safer change at enterprise scale.
• Aligning observability to customer impact across digital & retail journeys
• Enabling faster, clearer incident response through ownership and better signals
• Proving observability value through reliability & not volume of data.

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Vinaya Bharathi

Senior Observability Specialist
Pandora

12:00 pm - 12:30 pm Panel Discussion - Standardisation vs Freedom: How Much "Platform" Should Observability Be?

Mark Tucker - Product Manager, ITV
Thomas Barnes - Head of Observability, Global Payments
Parthiban Rajasekaran - Principal Engineer, Capital One

Standardisation accelerates teams when it removes friction - but over-centralisation creates bottlenecks. The goal is consistent telemetry and governance without preventing teams from shipping.

• Deciding what's central: standards, pipelines, guardrails, and minimum baselines
• Keeping teams moving with paved paths, not ticket queues
• Handling exceptions without breaking consistency, cost control, or security

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Mark Tucker

Product Manager
ITV

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Thomas Barnes

Head of Observability
Global Payments

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Parthiban Rajasekaran

Principal Engineer
Capital One

12:30 pm - 1:30 pm Lunch

1:30 pm - 2:00 pm Presentation: Owning the Stack: Building an Internal Observability Platform using open source

Marta Lima - Engineering Lead for Observability, Wise

Running observability in house isn't the easy choice — it's the bold one. Explore how Marta's team built an entire observability platform using open-source projects, battling scalability challenges, data complexity, team structure, costs, and tough security rules head on. With OTEL and the LGTM stack as their backbone, they're proving that owning your stack unlocks flexibility, accountability, and real engineering power.

• Managing the real world challenges of internal observability platforms, including data quality, storage, regulation, and cost
• Leveraging OTEL to create a shared language and avoid vendor lock-in
• Evolving team structures and workflows to support an internally owned, open source driven observability model

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Marta Lima

Engineering Lead for Observability
Wise

2:00 pm - 2:30 pm Presentation: OTel Me More: Dunelm's Journey to OpenTelemetry

Dan Herd - Principal Site Reliability Engineer, Dunelm

Dunelm operates 200+ stores, a fast growing e commerce site, and high traffic mobile apps, so diagnosing issues across systems was anything but straightforward. With inconsistent instrumentation, patchy visibility, and rising observability costs, something had to change. Dan Herd shares how Dunelm tackled the chaos by embracing OpenTelemetry end to end and building a custom service that transforms CDN logs into spans, giving the business a clean, connected view from front end to back end and how adopting a true product mindset helped win over engineering teams.

• Streamlining telemetry through a unified OpenTelemetry pipeline and consistent service instrumentation
• Optimising performance, cost, and reliability across functions, platforms, and high traffic systems
• Connecting front end to back end observability with custom span generation and a strong product first approach

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Dan Herd

Principal Site Reliability Engineer
Dunelm

2:30 pm - 3:00 pm Presentation: Stop Treating AI Like Magic Infrastructure

Uğur Başak - Director of Engineering, TomTom

AI is a workload, not magic infrastructure. Once you treat it that way, the operational disciplines SREs already know apply directly: observability, FinOps, and governance. Uğur Basak shares his expertise and walks through what it looks like to bring AI systems under the same platform disciplines we've spent fifteen years building for everything else, and why skipping that step is where most AI rollouts quietly fall apart.
• Exploring why AI gets treated as magic infrastructure, and the operational blind spots that creates at scale
• Placing LLMs and agents on the same Golden Paths your services already use
• Identifying the three disciplines that make it real: observability so you know what it's doing, FinOps so you know what it costs, and governance so you know who owns the decisions

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Uğur Başak

Director of Engineering
TomTom

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

3:30 pm - 4:00 pm Presentation: Observing the Agents: Supporting High Risk Agentic AI Use Cases at Enterprise Scale

Rajasree Ramakrishnan - Product Lead - Agentic Observability, Lloyds Bank

As organisations move from AI that assists to AI that acts, agentic systems introduce new challenges around risk, accountability and control. Drawing on her work at Lloyds, Rajasree shares how agentic use cases such as investment AI and financial coaching are pushing platforms and observability beyond infrastructure level signals. She outlines how teams are evolving observability to understand agent behaviour, apply the right controls and coordinate across platform, data and governance functions, treating agentic AI as a shared enterprise ecosystem rather than a standalone capability.
• Extending observability to capture agent behaviour, decisions and outcomes beyond infrastructure metrics
• Establishing controls and ownership models that support safe operation of high risk agentic use cases
• Enabling enterprise scale agent adoption through collaboration, clarity and intentional constraint

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Rajasree Ramakrishnan

Product Lead - Agentic Observability
Lloyds Bank

4:00 pm - 4:30 pm Presentation: Smarter, Safer, Faster: Inside Nokia's AI Infused Observability and Security Platform

Frank Adu - Principal Security Engineer, Nokia

Observability has become mission critical at Nokia, where cloud native teams, strict regional controls and decades old legacy systems all need to operate with the same level of reliability and security. Drawing on more than 20 years of hands on experience, Frank Adu has been instrumental in building a unified observability approach that weaves together reliability, security monitoring and AI assisted analysis. Nokia employing several strategies such as automation, cutting alert noise with correlation intelligence, and using in house LLMs to help teams identify real issues faster across a regulated global environment.

• Automating security driven observability with log aggregation, fine grained access controls and security as code practices
• Maturing AI safely by limiting data exposure, developing in house LLMs and using agents to summarise and diagnose alerts
• Reducing noise and improving clarity through correlation engines that distinguish actionable incidents from repeat patterns

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Frank Adu

Principal Security Engineer
Nokia

4:30 pm - 4:40 pm End of Conference