Modern software systems operate in complex, dynamic environments where failures are inevitable. Traditional monitoring and manual incident response are no longer sufficient to ensure resilience or customer satisfaction. This talk explores how to design and implement self-healing software systems by combining telemetry data with an AI-driven agentic approach. We’ll start by examining how high-quality telemetry forms the foundation for detecting anomalies and predicting failures. Next, we’ll show how modern GenAI (LLMs) can transform this telemetry into actionable insights for AI agents that interpret data, pinpoint root causes, and apply automated fixes. Through a practical, real-world example, you’ll see how telemetry and AI work together to create adaptive feedback loops that continuously improve system reliability, while freeing engineers from repetitive operational tasks.

LocalStack's core cloud emulator lets you emulate various cloud services on your own computer. This means you can develop and test your cloud-based solutions without connecting to a remote cloud. However, there are times when you need to seamlessly switch between your local setup and actual cloud resources, especially in hybrid situations. For instance, you might want to share a database with your local Lambda function or access S3 files stored remotely while running a Glue ETL job locally. With LocalStack's AWS Replicator extension, your local environment can replicate AWS cloud resources at the API level, allowing direct interaction with cloud services. The Replicator extension enables you to forward specific requests from LocalStack to AWS without complex proxy setups, and create test scenarios that involve a mix of local and cloud resources.

Cloud infrastructure has fueled innovation for nearly two decades—yet cost control remains a challenge. Unforeseen expenses and complicated billing can hamper agility, forcing teams to overspend just to stay competitive. What if you could evaluate costs in real-time, identify inefficiencies, and optimize deployments—without slowing development? Imagine adjusting parameters based on on-the-fly estimates and usage. In this presentation, Malcolm Matalka, Co-founder and CTO of Terrateam, explores how OpenInfraQuote, a new open-source command-line tool, transforms Terraform and OpenTofu code into actionable cost insights. Learn how to automate price checks, compare scenarios, and avoid financial surprises—alongside how it differs from other solutions and how to integrate it into your workflow.

Multi-account and multi-region compatibility enables users to manage and deploy resources across multiple AWS accounts and geographic regions. This functionality enhances the robustness of the deployments by offering improved fault tolerance, scalability, and regulatory compliance. By segregating resources into separate accounts and distributing them across various regions, users can minimize the impact of potential failures and optimize performance. In this session from LocalStack Community Meetup May '24, Sannya Singhal discussed how you could use LocalStack to emulate multi-account and multi-region environments locally for testing and development purposes, ensuring that applications were resilient and scalable before deployment to the cloud.