D9

In today’s cloud-native world, treating infrastructure as code isn’t just a best practice—it’s a necessity. While YAML-based tools have served us well, they often fall short when dealing with complex, enterprise-scale infrastructure. The AWS Cloud Development Kit (CDK) bridges this gap by bringing software engineering principles to infrastructure deployment.

This session introduces AWS CDK as a powerful alternative to traditional IaC approaches, demonstrating how it enables teams to leverage familiar programming concepts while maintaining infrastructure consistency and reliability. We’ll explore how CDK’s programming model accelerates development cycles and reduces common infrastructure deployment pitfalls.

2024 has been the year of taking generative AI applications into production. Launching generative AI applications requires careful considerations around model selection and evaluations, fine-tuning versus RAG, security, privacy, hallucination control, and cost management. In this session, dive into some common architecture patterns, security guardrails, governance approaches, and optimization tricks that have been developed to support hundreds of AWS customers launch their generative AI workloads in production globally across popular use cases, like content generation, chatbots, document search, and more.

DeepDoc Scanner is an AI-powered solution designed for searching structured and unstructured data efficiently. It automates document processing, eliminating manual work and minimizing the risk of errors. The system enables fast and precise retrieval of critical information, improving access to essential business insights. With built-in auditability and traceability, it enhances operational efficiency and compliance. DeepDoc Scanner supports digital transformation by converting paper-based documents into digital formats. It facilitates data categorization and analysis across multiple formats, including PDFs, Word, Excel, and OCR-processed images. The solution seamlessly integrates with existing data sources, ensuring smooth connectivity and accessibility. It features permission-based content filtering, allowing users to access only authorized information. DeepDoc Scanner includes various connectors and identity management capabilities to support secure data processing, making it a reliable and efficient tool for modern businesses.

As modern applications adopt cloud-native architectures, testing must evolve to keep up. In this presentation we’ll explore how Testkube, an open-source framework, streamlines testing workflows in Kubernetes environments.

We’ll discover how it integrates seamlessly with popular testing tools, how it fits naturally into CI/CD pipelines, and how its declarative configurations aligns with GitOps principles. Additionally, we’ll examine the benefits of centralized test reporting and how it helps to tackle scalability issues.

This talk will challenge common misconceptions about AWS CloudWatch and highlight its often-overlooked capabilities.

I will provide a deep dive into CloudWatch, demonstrating why it deserves greater attention and consideration before committing to costly third-party observability solutions.

When Every Millisecond Counts: Building a High-Performance Kubernetes Environment for a Multimedia Platform on AWS EKS Desc: Ever wondered what it takes to build a Kubernetes environment where every millisecond matters? This session dives into the architecture and optimizations behind a latency-sensitive multimedia platform running on AWS EKS. Discover how AWS Network Load Balancers, Ingress NGINX, and DNS optimizations like tweaking Node Local DNS and CoreDNS come together to deliver lightning-fast performance. Whether you’re dealing with similar challenges or just curious about Kubernetes optimizations, this talk has something for you.

Our Monitoring Journey: From Chaos to Nirvana

Alex Gain shares the evolution of his team’s monitoring setup — from manual chaos to a fully automated, GitOps-driven system managing dozens of Kubernetes clusters. The talk covers key transitions: early Terraform-based IaC, adoption of ArgoCD and ApplicationSets, and future plans with Crossplane. Packed with lessons on scaling observability, reducing engineer toil, and building resilient, client-agnostic monitoring platforms.

This talk explores approaches to managing and provisioning dynamic infrastructure for cell-based SaaS application, where each tenant requires dedicated resources due to security requirements, or gradual migration from silo based deployment.

Main focus areas include common resources for most SaaS applications, such as secrets backed by AWS Secrets Manager & KMS, database clusters backed by Amazon Aurora or S3 buckets. There will be examples and lessons learned throughout Ataccama’s year journey of creating a new SaaS, which is now in production.