AWS re:Invent 2018

Serverless brings many advantages to software development, but it introduces new monitoring challenges as well. Isolated telemetry on individual functions might not provide enough visibility, and instrumentation in a world where 100 ms of extra execution time could cost thousands of dollars might prove prohibitive. In this session, we explore how New Relic enables full observability of the serverless stack, including its executing context, with minimal impact in performance. Learn from customer case studies and real-world examples. This session is brought to you by AWS partner, New Relic.

Tracing is always a challenge, no matter what your architecture is. Creating an application with serverless functions, such as with AWS Lambda, provides agility and scalability to your application, but it also creates an added challenge for code tracing. In this session, we review Datadog's distributed tracing capabilities and how Trek10 uses those capabilities to improve its customers' applications. Learn how to use AWS X-Ray in a serverless environment. Also, learn strategies for working with traces and logs that explain application errors. Finally, learn how Trek10 uses AWS X-Ray with Datadog to measure and improve its applications' performance. This session is brought to you by AWS partner, Datadog. Complete Title: AWS re:Invent 2018: How Trek10 Uses Datadog's Distributed Tracing to Improve AWS Lambda Projects (SRV304-S)

AWS offers a wide range of cloud computing services and technologies, but we rarely state opinions about which services and technologies customers should choose. When it comes to building our own services, our engineering groups have strong opinions, and they express them in the technologies they pick. Join Tim Bray, Senior Principal Engineer, to hear about the high-level choices that developers at AWS and our customers have to make. Here are a few: Are microservices always the way to go? Serverless, containers, or serverless containers? Is relational over? Is Java over? The talk is technical and based on our experience in building AWS services and working with customers on their cloud-native apps.

Real-time analytics has traditionally been analyzed using batch processing in DWH/Hadoop environments. Common use cases use data lakes, data science, and machine learning (ML). Creating serverless data-driven architecture and serverless streaming solutions with services like Amazon Kinesis, AWS Lambda, and Amazon Athena can solve real-time ingestion, storage, and analytics challenges, and help you focus on application logic without managing infrastructure. In this session, we introduce design patterns, best practices, and share customer journeys from batch to real-time insights in building modern serverless data-driven architecture applications. Hear how Intel built the Intel Pharma Analytics Platform using a serverless architecture. This AI cloud-based offering enables remote monitoring of patients using an array of sensors, wearable devices, and ML algorithms to objectively quantify the impact of interventions and power clinical studies in various therapeutics conditions.

Serverless architecture and a microservices approach has changed the way we develop applications. Increased composability doesn't have to mean decreased auditability or security. In this talk, we discuss the security model for applications based on AWS Lambda functions and Amazon API Gateway. Learn about the security and compliance that comes with Lambda right out of the box and with no extra charge or management. We also cover services like AWS Config, AWS Identity and Access Management (IAM), Amazon Cognito, and AWS Secrets Manager available on the platform to help manage application security.

We are a lean team consisting of developers, lead architects, business analysts, and a project manager. To scale our applications and optimize costs, we need to reduce the amount of undifferentiated heavy lifting (e.g., patching, server management) from our projects. We have identified AWS serverless services that we will use. However, we need approval from a security and cost perspective. We need to build a business case to justify this paradigm shift for our entire technology organization. In this session, we learn to migrate existing applications and build a strategy and financial model to lay the foundation to build everything in a truly serverless way on AWS.

An effective API strategy is critical to digital transformation and rapid innovation. In this session, we deep dive into advanced capabilities of Amazon API Gateway that can enable customers to build modern applications.

In this session, learn how AWS can help you innovate faster with DevOps, microservices, and serverless. Join us for a rare and intimate discussion with AWS senior leaders: David Richardson, VP of Serverless, Ken Exner, director of AWS Developer Tools, and Deepak Singh, director of Compute Services, Containers, and Linux. Hear them share development best practices and discuss key learnings from building modern applications at Amazon.com. Also, learn how developers can leverage containers, AWS Lambda, and developer tools to build and run production applications in the cloud.

Data and events are the lifeblood of any modern application. By using stateless, loosely coupled microservices communicating through events, developers can build massively scalable systems that can process trillions of requests in seconds. In this talk, we cover design patterns for using Amazon SQS, Amazon SNS, AWS Step Functions, AWS Lambda, and Amazon S3 to build data processing and real-time notification systems with unbounded scale and serverless cost characteristics. We also explore how these approaches apply to practical use cases, such as training machine learning models, media processing, and data cleansing.

Are you an experienced serverless developer? Do you want a handy guide for unleashing the full power of serverless architectures for your production workloads? Are you wondering whether to choose a stream or an API as your event source, or whether to have one function or many? In this session, we discuss architectural best practices, optimizations, and handy cheat codes that you can use to build secure, high-scale, high-performance serverless applications. We use real customer scenarios to illustrate the benefits.