Comprehensive AWS Observability: Architecting a Robust SRE Monitoring Stack and Advanced CloudWatch Techniques Beyond Basic Monitoring

SRE teams operating in complex environments require observability solutions that extend beyond standard dashboards to effectively manage and maintain cloud workloads at scale. In this session, we will explore how SREs can build a comprehensive AWS observability stack with AWS CloudWatch, Amazon Managed Service for Prometheus and Grafana, and AWS X-Ray to achieve complete visibility across an AWS infrastructure. We will emphasize how to build alerting systems that fight alert fatigue while improving incident response speed and implementing predictive monitoring and anomaly detection capabilities. Participants will gain detailed insights into advanced CloudWatch capabilities, including log insights, custom metrics, anomaly detection, application performance monitoring (application signals), cross-account observability, etc. Attendees will learn best practices for architecting observability explicitly tailored for SRE use cases. It will help attendees to learn how to capture key performance indicators (KPIs), automate responses and incident management workflows, and correlate metrics, logs, and tracing data to pinpoint issues quickly and reduce mean-time-to-resolution (MTTR).

Enhancing AWS CloudTrail Observability Using Event-Driven Ansible

AWS CloudTrail is a useful tool that records everything happening in AWS account, such as who did what, when, and from where. It helps with tracking changes, spotting unusual behavior, and meeting security and audit requirements. By combining CloudTrail with Event-Driven Ansible, we can take automatic action as soon as something important happens without needing someone to step in manually. In this talk, I will demonstrate how to set up this integration using the ansible.eda.aws_cloudtrail module. In this demo, I will give a demo on how to monitor events like starting or stopping an EC2 instance, and automatically trigger a response. This setup can be customized to handle many other events, helping teams manage their cloud systems more easily, securely, and efficiently.

Lambda Layers and Extensions: The unsung hero for observability

AWS Lambda Functions has been the core of Serverless compute and as a service as capabilities to extend additional reusable components with Lambda Layers and Lambda Extensions which enables not just one Lambda function but many more in your application to leverage additional dependencies and bringing in standardisation for observability and configurations. In this session, you will see how easy it is to use Lambda Layers and Lambda Extensions for observability with tools such as New Relic and even open-source Layer and Extensions by AWS Distro for OpenTelemetry (ADOT).

Crushing Bottlenecks: Distributed Load Testing on AWS

Building reliable applications in the cloud starts with understanding how they perform under pressure. This session dives into how AWS customers simulate real-world traffic and incorporate performance and load testing both pre- and post-deployment to validate system reliability under stress and varying load conditions. We'll cover testing APIs, microservices, and applications, and show how performance data drives smarter scaling, monitoring, and architectural decisions.

Managing Observability with Agentic Alarms using Amazon Bedrock

Alarm management is a core aspect of observability for critical workloads. This session shows how AWS GenAI tools can enhance alarm workflows using agentic approaches. We'll demo alarm automation with Amazon Q CLI, followed by an Agentic Alarms setup on Amazon Bedrock for dynamic alarm management.

What we learned (the hard way): Reconciliation at scale with serverless architecture

Scaling reconciliation in a financial system presents unique challenges, especially when processing massive volumes of transactional data. In this talk, we'll share how we designed and built a scalable, serverless reconciliation system using tools like DynamoDB, AWS Lambda, ECS Tasks and Step Functions. We'll walk through the architectural decisions, design patterns, and lessons we learned the hard way—covering topics such as data consistency, orchestration, error handling, and performance tuning. Attendees will leave with practical insights into building resilient, cost-effective financial workflows using a modern serverless stack.

Assemble a low cost FinOps Toolchain using AWS native solutions

In this talk I'll share how I moved our organization from an expensive third party tool to AWS native solutions for cost allocation and cost optimization. I'll share specifics on the tools we are using and some of the FinOps successes we've had.

What I Learned Building a Personalised Email System on AWS

Some months ago, I entertained the thought of starting something on my own. I wasn't so sure what but definitely knew it was something that I wanted to keep my audience engaged and updated. As someone going solo, the idea of sending emails and keeping up felt daunting so I decided to find ways to automate this. That single idea turned into a serverless learning journey, a project where I explored AWS Lambda, SES, and DynamoDB to create a personalized, automated email campaign system. In this talk, I'll share my journey learning AWS Lambda, Amazon SES, and DynamoDB to create a simple, serverless email campaign system that sends dynamic, personalized emails without managing servers. I'll cover the basics of each AWS service and how they fit together to solve the challenge of automated outreach. Through real examples from my hands-on experience, I'll discuss setting up email templates, triggering email sends with Lambda, and storing recipient data in DynamoDB. I'll also highlight the challenges I faced, how I overcame them, and key lessons for anyone starting their own serverless projects. This talk will offer practical insights into building scalable email campaigns, plus motivation to embrace learning through doing. Join me to explore the potential of serverless architectures and discover how you can start your own personalized email automation journey.

Agentic AI on AWS: Building Agentic Systems for Enterprise Solutions

The emergence of agentic AI represents a transformative shift in how organizations leverage artificial intelligence for business operations. This session explores the implementation of AI agents on AWS, focusing on how these autonomous systems can enhance productivity and decision-making processes. We'll examine the current landscape of agent frameworks, from simple task automation to complex reasoning systems, and demonstrate how AWS's suite of services enables scalable agent deployment. The presentation will cover key aspects of the agent maturity curve, exploring the progression from basic rule-based agents to sophisticated autonomous systems capable of complex problem-solving. Attendees will learn about various implementation approaches, best practices for agent development on AWS infrastructure, and real-world use cases demonstrating successful enterprise integration. Special attention will be given to emerging frameworks, security considerations, and the strategic positioning of agentic AI solutions for different business scenarios.

Beyond Chat: Building Hybrid Agentic Workflows on AWS

While generative AI has revolutionized chat applications, its true potential lies in automating complex business processes. This session moves beyond conversational interfaces to explore the power of hybrid agentic workflows, which strategically blend deterministic logic with AI-driven decision-making. We will explore the spectrum of agentic integration: from a fully controlled, rule-based system to a semi-autonomous hybrid, and finally to a fully agentic workflow where the AI handles query generation, decision-making, and content creation. This approach enables choosing the correct agentic level for your application while keeping flexibility for changing it in future depending on your needs. We'll demonstrate how to build these sophisticated workflows using the new Strands Agents SDK from AWS and using services like AWS Lambda, Amazon Bedrock, and DynamoDB. You will leave with a clear understanding of how to identify opportunities for agentic automation in your own systems and a practical framework for designing, building, and deploying these next-generation applications on AWS.