Yan Borowski
Technology Executive | Cloud Native | Platform Engineering | AI | Kubernetes | Enterprise Transformation
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Yan Borowski is a Technology Executive and Solutions Architect with more than 20 years of experience in software engineering, cloud platforms and enterprise transformation. Specialized in Cloud Native, Kubernetes and Platform Engineering, he has led large-scale global initiatives involving GitOps, observability, DevEx, AI-enabled engineering and modern platform operations. He also serves as volunteer CTO at Atitude Infinita, leading social impact initiatives powered by AI and modern platforms.
Area of Expertise
A Evolução dos Times de DevOps: Como AI e Platform Engineering Estão Reescrevendo a Engenharia
Durante anos, os times de DevOps se tornaram a espinha dorsal da entrega moderna de software. Mas uma nova mudança já começou dentro das grandes organizações. AI Agents, Internal Developer Platforms, GitOps, Policy as Code e self-service engineering estão transformando completamente a forma como plataformas são construídas, operadas e consumidas.
Nesta sessão, vamos explorar como Platform Engineering e operações assistidas por IA estão reduzindo carga cognitiva, eliminando gargalos e mudando o papel dos times de infraestrutura e DevOps em ambientes enterprise de larga escala.
Através de experiências reais com plataformas Kubernetes globais suportando workloads críticos em múltiplas regiões, vamos discutir o que realmente muda quando organizações deixam de focar em “gerenciamento de infraestrutura” e passam a focar em “enablement de engenharia em escala”.
Isso não é uma visão futurista. Isso já está acontecendo.
A Era das PoCs de IA Acabou: O Que Quebra ao Escalar AI em Plataformas Enterprise
Criar uma PoC de IA nunca foi o maior desafio. O problema começa quando a empresa tenta escalar.
Nesta sessão, vamos explorar os desafios reais enfrentados por organizações que estão tentando transformar iniciativas isoladas de IA em capacidades operacionais sustentáveis dentro de plataformas Cloud Native enterprise.
Vamos discutir temas como AI workloads em Kubernetes, observabilidade de aplicações baseadas em LLMs, custos operacionais, governance, segurança, prompt drift, orchestration de agents, DevEx para times de IA e os impactos organizacionais que aparecem depois da hype inicial.
A sessão conecta experiências práticas de Platform Engineering, Cloud Native e AI Enablement para mostrar por que a maioria das iniciativas de IA não falha por limitação técnica, mas sim por falta de maturidade operacional e arquitetural para sustentação em escala.
AI at Scale: Decoding Azure's Best Vector Databases for Language Modeling
In this insightful talk at Azure CosmosDB Conf 2024, we delve into the dynamic world of vector databases within Azure's ecosystem, focusing on three pivotal services: Azure Cosmos DB's Vector Database Extension, Azure PostgreSQL Server's pgvector Extension, and Azure AI Search. This presentation aims to illuminate the nuanced differences and unique advantages of each service, particularly in applications involving Artificial Intelligence, Large Language Models, and Retrieval Augmented Generation (RAG).
Our comprehensive analysis begins with an exploration of Azure Cosmos DB's Vector Database Extension, examining its performance and scalability in handling complex vector operations. We then transition to the Azure PostgreSQL Server's pgvector Extension, discussing its integration and efficiency in vectorized querying and storage. Lastly, we scrutinize Azure AI Search, highlighting its robustness in AI-driven search and data retrieval scenarios.
Throughout the presentation, we compare and contrast these services based on key metrics such as query performance, ease of integration with AI and Large Language Model frameworks, scalability, and cost-effectiveness. We also explore real-world case studies and applications, showcasing how each service can be optimally utilized in various AI and RAG contexts.
By the end of this talk, attendees will gain a clearer understanding of how to strategically select and implement the most suitable vector database solution for their AI and RAG projects within the Azure platform. This session is a must-attend for developers, data scientists, and IT professionals seeking to leverage the full potential of vector databases in their innovative AI endeavors.
Migrating from Oracle to Azure Cosmos DB: Optimizing infrastructure and increasing migration speed
Learn how to quickly and effectively migrate your on-premises Oracle database to Azure Cosmos DB using the "lift and shift" method, with the new Azure Cosmos DB for PostgreSQL.
See how easy it is to improve your infrastructure efficiency and increase migration speed by re-pointing your DNS to Azure Cosmos DB.
Cloud Native Apps using Cosmos DB, being ready for recovery!
In this presentation, we will learn how to use CosmosDB with AKS, security and Geo-Replication best practices for crash recovery.
We'll use a high availability environment with a DR region and kill the main environment, so we'll see the DR region working, with the latest CosmosDB data replicated in the DR region.
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