Cloud Native London, October 2026

About this event

Hi folks! Welcome to our October Cloud Native London meetup! Join us to hear from our three great speakers and network with your fellow techies over pizza and drinks, or alternatively chat and following along on Youtube or LinkedIn! 6:00 Pizza and drinks 6:30 Welcome 6:45 Automating Quality in Delivery Pipelines (Ole Lensmar, Testkube) 7:15 Fewer Moving Parts, Lower Cloud Costs: Rethinking the Cloud-Native Data Stack (Ricardo Villanueva, MongoDB) 7:45 Break 8:00 AI Productivity Isn't a Model Problem, It's a Platform Problem — CAIPE.io's Story So Far… (Hasith Kalpage, Cisco) 8:30 Wrap up See you there! Cheryl (@oicheryl) Automating Quality in Delivery Pipelines (Ole Lensmar, Testkube) AI code generation creates testing bottlenecks across test creation, pipeline execution, and failure triaging. Utilising AI agents to orchestrate pipelines, automate root-cause analysis, and resolve test failures allows engineering teams to accelerate quality and scale delivery without sacrificing system reliability or control. Ole is the CTO of Testkube and the host of the Cloud Native Testing podcast. He's been building testing/QA solutions for 20+ years and is the creator of SoapUI and former steward of the Swagger / OpenAPI Specification. https://www.linkedin.com/in/olensmar/ Fewer Moving Parts, Lower Cloud Costs: Rethinking the Cloud-Native Data Stack (Ricardo Villanueva, MongoDB) A modern application often accumulates more infrastructure than it needs: a database, a search engine, a synchronization pipeline, queues, connectors, and the operational burden of keeping everything consistent. This session introduces a beginner-friendly way to evaluate a cloud-native data architecture through one question: what are we paying to operate every moving part? Using MongoDB Atlas examples, we will explore how a document database, integrated search, and managed operations can help reduce duplication, failure modes, and time spent maintaining glue code. This is not a “replace everything” talk. It is a practical framework for deciding when fewer components mean lower cost, faster delivery, and a more reliable service. Ricardo Villanueva is a Senior Solutions Architect at MongoDB based in London. He brings more than 15 years of distributed-systems design experience and a background spanning software engineering, media technology, and cloud-native solutions architecture. Ricardo helps engineering teams make pragmatic architecture choices that support resilience, developer productivity, and efficient operations. Check him out at [linkedin.com/in/villanuevaricardo](linkedin.com/in/villanuevaricardo) AI Productivity Isn't a Model Problem, It's a Platform Problem — CAIPE.io's Story So Far… (Hasith Kalpage, Cisco) "Every team now has access to the same frontier models. So why do some ship 10x faster while others produce impressive demos and little else? This is the story of CAIPE.io (pronounced ""cape""), an Apache-2.0 platform for building, governing, and operating AI agents — and of what happened to our own R&D org when we stopped treating AI productivity as a prompting problem and started treating it as a platform engineering one. We'll walk through how the architecture evolved: from Backstage-style developer portals into a full agentic platform with Skills, MCP-based integrations, self-service agents, agentic workflows, RAG and GraphRAG knowledge bases, and enterprise-grade identity and RBAC. We'll be candid about what we got wrong along the way, and what it took to make agents something a whole organisation can safely run. We'll close with a glimpse of what we're exploring next for enterprise productivity — including tiny teams, AI teammates, and shared organisational memory. Attendees will leave with a concrete blueprint for the platform layer that actually converts AI capability into engineering velocity. Hasith is a technology leader with over 17 years at Cisco, currently heading Platform Engineering for AI & Quantum Transformation at Cisco's in