Observability for FinOps Teams I The Keys to AWS Optimization | S16 E7
Twitch stream from aws
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Twitch stream from aws
Twitch stream from aws
Twitch stream from aws
We'll go over how to manage devices in the field at scale with AWS to send updates, observe status, and turn this into a great customer experience. We'll dive deep on AWS IoT services and how they make everything run at scale.
Twitch stream from aws
Twitch stream from aws
Join us for an in-depth technical exploration of how Aurora scales for your most demanding workloads. You'll learn about the scaling options - from its auto scaling origins to serverless, including advanced distributed architecture for horizontal scale-out. Follow along as we demo advanced transaction management across distributed database clusters. You'll get an insider's perspective on our vision for scaling while maintaining open source compatibility.
AI agents are redefining how we approach enterprise cybersecurity and engineering work. Not very far into the future, AI Agents will work tirelessly to triage and remediate common security issues without human intervention. In this session, we’ll explore what AI Agents are and what challenges they need to overcome to become truly autonomous in a complex enterprise environment.
For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/connect-contact-lens-403-errors The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.
VideoAmp is a leading measurement company specializing in cross-medium and cross-platform measurement, planning, and currency solutions for the advertising industry. Discover how VideoAmp leverages privacy-enhanced controls in AWS Clean Rooms to provide accurate, deduplicated measurement using their proprietary methodology while enabling agency partners to collectively analyze their first-party data without sharing their underlying data with eachother.
Learn how to run and leverage performance testing on AWS to drive cost optimization, validate system behavior, identify bottlenecks, and significantly improve reliability, while informing architectural decisions and optimal instance type selection for your workloads. You'll discover methods for pinpointing performance thresholds across different traffic patterns and understanding system reliability when stressed beyond normal parameters.
In the last six weeks, AWS announced OpenAI models on Bedrock, Claude Mythos through Project Glasswing, Claude Opus 4.7 with a million-token context window, Claude Cowork for teams, Meta training on Graviton, Bedrock AgentCore with a managed harness and CLI, a DevOps Agent, Codex on Bedrock, Amazon Quick as a desktop AI assistant, Kiro powers for migration and coding, and Amazon Connect splitting into four agentic AI products. If your head is spinning, you're not alone.