As OpenTelemetry emerges as a pivotal solution for opensource observability, its adoption presents unique challenges and opportunities. This panel discussion will bring together industry experts to share insights on the strategic implementation of OpenTelemetry within their organisations. Exploring practical strategies for overcoming

common adoption challenges, enhancing tool interoperability, and maximising the value of OpenTelemetry for comprehensive observability.

• Assessing organisational readiness for adopting OpenTelemetry, including infrastructure considerations and the necessary cultural shifts within it teams.
• Exploring effective strategies for integrating OpenTelemetry with existing monitoring and observability tools, ensuring a smooth transition and enhanced data cohesion.
• Addressing scalability concerns of OpenTelemetry deployments to keep pace with growing data volumes and complex distributed environments.
• Highlighting the importance of training and community engagement to keep teams updated on best practices and emerging features in OpenTelemetry.

Juan Valdes Gayo

Senior Engineering Manager - Head of Software Development
Ryanair

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Devrim Demiroz

SRE + Observability
Swisscom

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Andreas Grabner

Devops Activist
Dynatrace

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Anton Timofieiev

Engineering Manager - Site Reliability
Booking.com

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Designing efficient OpenTelemetry (OTel) topologies is crucial for seamless data collection and ingestion. This session will explore best practices and innovative approaches for optimizing system design to handle data effectively and maximize the performance and reliability of your OTel systems.

• Breaking down the core components of OpenTelemetry and their roles in data collection and ingestion.
• Structuring scalable and resilient OTel topologies and architecture to manage increasing data volumes.
• Enhancing performance and reduce latency in OTLP data pipelines.
• Troubleshooting and Maintenance to ensure the longevity and efficiency of your OTel deployments.

Panos Tsilopoulos

Director Observability Platform Engagement
Nike

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This session will focus on how you can unify engineering and realign your technology stack to enhance data accessibility and optimize enterprise data streaming, paving

the path towards data maturity.

• Defining data maturity and its significance for your organization’s strategic goals.
• Exploring how observability tools and practices contribute to achieving data maturity by providing real-time insights into your environment.
• Realigning your tech infrastructure to increase access to crucial data, enabling faster and more accurate decision-making.
• Achieving seamless enterprise data streaming across the enterprise
• Defining clear data standards, practices and metrics for engineering – What are we really measuring?

Mohammad Shalchi

Director Software Engineering
Haleon

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As Site Reliability Engineering (SRE) evolves, the integration of AI and machine learning (ML) into observability practices offers unprecedented opportunities to enhance system reliability, performance, and efficiency. This session explores cutting-edge strategies for scaling AI and ML in SRE and observability, enabling organizations to manage complex infrastructures and deliver superior user experiences.

• Building Scalable AI/ML Models: Develop and deploy AI/ML models that scale effectively with the growing demands of modern SRE practices, ensuring robust performance across diverse environments.
• Automated Incident Detection and Resolution: Utilize AI and ML to automate the detection and resolution of incidents, reducing downtime and improving system reliability.
• Predictive Maintenance and Resource Optimization: Implement predictive analytics to foresee potential issues and optimize resource allocation, enhancing operational efficiency and reducing costs.
• Enhancing Anomaly Detection: Leverage advanced ML algorithms to improve anomaly detection capabilities, enabling proactive identification and mitigation of potential threats to system stability.
• Integration with Existing Tools: Seamlessly integrate AI and ML solutions with existing observability and monitoring tools to create a unified, intelligent observability framework that drives actionable insights and continuous improvement.

In today’s landscape of on-premises and cloud solutions, achieving comprehensive, unified observability across hybrid environments presents unique challenges. This

session will explore strategies for maintaining visibility and control over the entire stack, from infrastructure to applications, ensuring seamless operation and performance

optimisation.

• Examining the complexity of hybrid infrastructures, including on-premises data centres and multi-cloud platforms.
• Identifying common visibility gaps that occur in hybrid & cloud-native setups and the challenges they pose.
• Streaming data to AIOps tooling through Observability & Logging tools
• Tying dashboards together to monitor all applications simultaneously leveraging power of AIOps

Ashish Yadav

Associate Director - Enterprise Monitoring, AIOps & Observability
TIAA GC

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Join Uber’s Vishnu Acharya to hear key methodologies for linking your individual microservices metrics to larger Service Level Objectives (SLOs) and Service Level

Indicators (SLIs), focusing on delivering significant infrastructure transformations into the cloud and embedding deep observability within cloud environments.

• Mapping microservices metrics to comprehensive SLOs and SLIs to ensure alignment with business objectives.
• Strategies for effective data collection and correlation from diverse microservices to provide a unified view.
• Implementing observability practices during large-scale cloud infrastructure transformations to maintain reliability and performance.
• Techniques for embedding observability deeply within cloud-native environments to gain actionable insights.
• Overcoming challenges in scaling observability and monitoring practices as you transition to the cloud.

Vishnu Acharya

Head of Network Infrastructure, EMA, Platform Engineering
Uber

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A resilient SRE culture is essential for maintaining robust, reliable systems in today's fast-paced digital landscape. Integrating observability into security practices can significantly enhance threat detection, improve incident response, and maintain robust security postures in real-time. This session explores how real-time observability can be leveraged to build a strong SRE culture, enhancing system reliability, performance, and team collaboration.

• Developing a comprehensive observability framework that provides real-time insights into system performance, health, and anomalies.
• Utilising real-time data analytics to detect and respond to incidents proactively, minimising downtime and improving system reliability.
• Leveraging observability data and telemetry to inform decisions, optimise performance, and drive continuous improvement.
• Providing a single source of truth through observability tools, enabling more effective cross-functional workflows.
• Implementing advanced logging and tracing techniques to track security events and maintain audit trails for forensic analysis and compliance requirements.

Simon Rohrer

Senior Director Agile & DevOps
Saxo Bank

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This session will delve into how N26 is building a composite health score for platform enablement, embedding DORA metric and SLO frameworks, to measure the health of

all microservices and systems.

• Identifying and standardising critical metrics that align with business outcomes and operational integrity.
• Integrating DORA metrics and SLOs into your observability strategy.
• Creating a unified health score that reflects the real-time status of systems and services, gamifying dev engagement
• Reorganising and optimising observability pipelines for agility and efficiency in deployment processes.
• Increasing the pace of changes in your systems, reducing downtime and improving productivity, enhancing system reliability and reducing failure rates

Luís Franqueira

Engineering Manager - Observability
N26

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Incorporating Observability and Monitoring into development ecosystems is not just a technical upgrade but a design challenge and a cultural reset, that requires thoughtful

integration and systemic thinking. This session will apply principles of design thinking, change management and systems design to the implementation of Observability,

ensuring that solutions empower developers.

• Facilitating more user-centred, innovative approaches to integrating observability, focusing on understanding developer needs and pain points.
• Building short cuts within developer environments and finding solutions to common developer issues
• Structuring observability frameworks that are robust, scalable, and easy to manage within the broader IT ecosystem
• Modernising legacy observability & monitoring tools to build a more resilient observability framework to handle future disruption