Introducing Facets UI 2.0!
Comprehensive showcase of the new Facets user interface with redesigned workflows and improved experience
Topics Covered
Office Hours Summary
Showcasing the new Facets Experience
What You'll Learn
• In-depth insights from industry experts
• Practical strategies you can implement today
• Real-world examples and case studies
• Interactive Q&A and community discussion
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Hosts
Anuj Hydrabadi
Krishna Mundra
Adi Unni
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AI Security Reality Check
Nathan Hamiel, Head of Research at Kudelski Security, joins Rohit Raveendran for an essential reality check on AI security in DevOps environments. This candid conversation cuts through the hype to address real-world threats, vulnerabilities, and practical defense strategies that every team integrating AI into their infrastructure should understand. ### Real-World AI Security Threats Explore the actual security landscape facing organizations adopting AI, from model poisoning and prompt injection attacks to data exfiltration risks. Nathan shares insights from Kudelski Security's research into emerging threat vectors and how attackers are targeting AI-powered systems in production environments. ### DevOps-Specific Vulnerabilities Understand the unique security challenges that arise when AI meets DevOps workflows, including supply chain risks, model integrity issues, and the security implications of AI-generated infrastructure code. Learn how traditional security practices need to evolve for AI-augmented development pipelines. ### Practical Defense Strategies Get actionable guidance on implementing robust security measures for AI in DevOps, including model validation techniques, secure prompt engineering practices, and monitoring strategies for AI-powered infrastructure operations. Discover how to balance innovation with security requirements. ### Industry Insights and Trends Benefit from Nathan's perspective on the evolving threat landscape, emerging security standards for AI systems, and what organizations should prioritize when building security into their AI-driven DevOps practices. ### Key Takeaways for Teams Learn how to assess AI security risks in your current environment, implement baseline security controls for AI systems, and build a security-first culture around AI adoption without stifling innovation. Essential listening for security professionals, DevOps engineers, platform teams, and anyone responsible for safely integrating AI into production infrastructure and development workflows.
The Fast & Scalable Route to GCP: A Masterclass on MPL's Cloud Migration
## Webinar Summary Go behind the scenes of MPL's ambitious AWS to GCP migration with the engineering leader who orchestrated this massive undertaking. This masterclass reveals the complete playbook for executing a complex, high-scale cloud migration that achieved 40% cost reduction with zero downtime. ### Strategic Foundation - **Goal Alignment Framework:** How MPL aligned stakeholders on measurable migration outcomes - **Risk Assessment Matrix:** Identifying and mitigating high-risk dependencies and systems - **Architecture Design:** Leveraging GCP primitives while preserving critical workload characteristics - **Success Metrics:** Defining KPIs that matter for migration success ### Migration Execution Masterclass - **Phased Cutovers:** Step-by-step approach to minimize blast radius - **Traffic Shifting Patterns:** Controlled migration of user traffic with instant rollback capability - **Pre-Migration Rehearsals:** Rigorous testing that exposed failure modes before they mattered - **Dependency Mapping:** Service rationalization and high-risk dependency decoupling - **Stateful System Strategy:** Managing large-scale data movement without service interruption - **Integrity Verification:** Comprehensive checks ensuring data consistency throughout migration - **Replication Pipelines:** Validation processes before switching write traffic - **Consistency Models:** Maintaining data reliability across cloud platforms ### Operational Success Framework - **Stakeholder Rhythms:** Communication cadences between platform, app owners, and business teams - **Runbook Creation:** Detailed playbooks for migration windows and emergency procedures - **Go/No-Go Criteria:** Clear decision-making frameworks for critical migration moments - **Contingency Planning:** Comprehensive backup plans and why most weren't needed - **Observability Baselines:** Establishing performance benchmarks before migration - **SLO Framework:** Service Level Objectives that guided migration decisions - **Canary Health Indicators:** Real-time metrics for informed go/no-go decisions - **Performance Monitoring:** Continuous validation during and after migration ### Post-Migration Optimization - **Cost Governance Success:** Achieving 40% cost reduction through strategic GCP service utilization - **Performance Tuning:** Strategies that improved latency and throughput - **Continuous Optimization:** Turning migration into a platform for ongoing improvements - **Resource Management:** Long-term cost management and optimization techniques - **Operational Excellence:** Establishing best practices in the new cloud environment - **GCP-Specific Optimization:** Performance techniques specific to Google Cloud Platform - **Organizational Capability:** Building skills for ongoing cloud-native operations - **Feedback Loops:** Creating systems for continuous improvement ### Real-World Results - **Zero Downtime:** Complete migration without service interruption - **Cost Reduction:** 40% infrastructure cost savings - **Performance Improvement:** Better latency and throughput post-migration - **Enhanced Reliability:** Leveraging GCP's native reliability features You'll leave with a complete migration blueprint covering strategy, execution, and day-2 operations - everything needed to achieve zero downtime, maintain customer trust, and realize meaningful cost improvements without compromising performance. Perfect for cloud architects planning large-scale migrations, engineering leaders responsible for infrastructure decisions, and platform engineers building cloud-native infrastructure.
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