Jeremy is a passionate serverless advocate, an AWS Serverless Hero, and a senior technology leader with more than 20 years of experience building web and mobile applications. He is an active member of the serverless community, creating and contributing to open source serverless projects, and frequently consulting with companies looking to adopt serverless.
Jeremy also writes extensively about serverless on his blog (jeremydaly.com), publishes Off-by-none, a weekly email newsletter that focuses on all things serverless (offbynone.io), and hosts the Serverless Chats Podcast (serverlesschats.com). He is currently the CTO of AlertMe.
Serverless functions (like AWS Lambda, Google Cloud Functions, and Azure Functions) have the ability to scale almost infinitely to handle massive workload spikes. While this is a great solution for compute, it can be a MAJOR PROBLEM for other downstream resources like RDBMS, third-party APIs, legacy systems, and even most managed services hosted by your cloud provider. Whether you’re maxing out database connections, exceeding API quotas, or simply flooding a system with too many requests at once, serverless functions can DDoS your components and potentially take down your application. In this talk, we’ll discuss strategies and architectural patterns to create highly resilient serverless applications that can mitigate and alleviate pressure on “non-serverless” downstream systems during peak load times.