ANZ Webinar Series On-Demand - Application Development

Common patterns for error handling and orchestration in event-driven apps

Event-driven architectures help you decouple services and simplify dependency management when applications grow in complexity. In this session, we dive into the issues and error modes that can...

Getting starting with .NET on AWS - AWS Cloud Day for .NET Developers

Splitting a monolithic ASP.NET MVC application into microservices - AWS Cloud Day for .NET Developers

Introducing Porting Assistant for .NET - AWS Cloud Day for .NET Developers

AWS AI Services for .NET - AWS Cloud Day for .NET Developers

Implementing GraphQL API security best practices with AWS AppSync

Five design patterns to build resilient applications

To deal with uncertainty, you have to design your software to be resilient. In this webinar, we review the most useful patterns for building resilient applications such as graceful degradation...

Developer Webinar Series - Reimagine your CICD pipelines

In this webinar, we share how AWS CodeBuild can help you reimagine your CI/CD pipelines and speed up application delivery without burdening you with maintaining your own build infrastructure.

Chaos Engineering: Enabling collaboration with reliable realtime services

In this session you will hear from Canva on how they enable users to collaborate with each other by introducing services that support bidirectional streaming with RSocket. This talk discusses the chal

Chaos Engineering: Falling over without falling over

As applications move online, and automation extends to control more of the world around us, software failures have an increasing impact on business outcomes and safety. We need to develop more resilie

Chaos Engineering: Towards operational excellence

Once systems are designed, implemented, and tested, we come to what is arguably one of the hardest aspects in the lifecycle of a system: bringing it to life and sustaining it in operations. Learn how

Chaos Engineering: Test twice, deploy once: Safe deploys on AWS

Test twice, deploy once: Safe deploys on AWS (Level 300) During this session, you will learn how to lower any potential risk "bad" code can introduce to your end product by making sure all of code

Chaos Engineering: Chaos engineering for serverless applications

Planning and performing chaos experiments on instance- and container-based workloads have been battle-tested by companies of all sizes and industries. However, serverless functions and managed service

Chaos Engineering: Chaos engineering for DevOps

How can you practice chaos engineering in a DevOps culture? In this session, we will share examples of integrating chaos engineering into the CI/CD pipeline to facilitate "shifting left". We will also

Chaos Engineering: Adding observability in your applications

In this talk, we will look at the tools that AWS provides to add observability into your applications. We will focus on the three pillars of observability – Logs, Metrics and Traces and show the diffe

Chaos Engineering: Practical chaos engineering - tools and methods

With the wide adoption of micro-services and large-scale distributed systems, architectures have grown increasingly complex and can be hard to understand. Worse, the software systems running them have

Chaos Engineering: Immutable architectures

Immutable infrastructure is a model in which no updates, security patches, or configuration changes happen “in-place” on production systems. Immutable infrastructures are more consistent, reliable, an

Chaos Engineering: Design patterns for robust and resilient apps

We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. M

Accelerate your Serverless outcomes with messaging and event based architecture

About this session: Event driven architectures are a critical component of modern business application development, enabling organisations, across almost all industries and verticals, to build loosel