Agenda

The explosive growth of web frameworks and the demands of users have changed the approach to building web applications. Many challenges exist, and getting started can be a daunting prospect. Let's change that now.

This talk provides practical guidance and recommendations. We will cover architecture, technologies, tools, and frameworks. We will examine strategies for organizing your projects, folders and files. We will design a system that is simple to build and maintain - all the way from development to production. You leave this talk inspired and prepared to take your enterprise application development to the next level.

What is serverless but a server in disguise?

In this talk, we will see how Carsales.com embraced serverless technology a year ago by launching its first ever serverless app using AWS and discuss about the technical hurdles faced, challenges resolved and victorious moments!

With insights on the choice of going serverless, what type of applications thrive and those that suck, what tools, techniques and pitfalls we faced in this journey, this talk will help you regardless of where you stand - deciding to go serverless, have little knowledge about what it is or to learn about solving similar issues you might be facing today.

Troy Hunt and Scott Helme have spoken about all the exciting security things, so let’s talk about the boring bits! When we think about application and infrastructure security, we often think about the big shiny things and forget the boring bits.

In this talk, we’ll look at the security of our package dependencies, CI/CD tools, how we send email and even resolve hostnames.

Over the last few months, hackers have managed to inject cryptocurrency miners into all these places. Security incidents in these components might not result in an entry in Have I Been Pwned?, but they'll result in a bad day.

What exactly is machine learning? And more importantly, will I understand the answer without doing a Masters and a PhD? Sure!

Join me, a fellow AI/ML-newbie, as I walk through what machine learning is, how it can be applied in your applications, and how you can actually create predictive models without accumulating a massive HELP debt in the process.

We'll start at the basics by talking about what machine learning can and can't do, but by the end, we'll have a working example of something actually usable. Chock full of examples and a totally non-scary amount of maths, this is the session for you if you're new to ML.

Microservices and containers have transformed application design and deployment patterns. Modern cloud native architectures - which underpin many of the world's groundbreaking tech companies such as Uber, Netflix and Airbnb - afford unparalleled levels of agility and scale but are not without trade-offs. In applications comprising hundreds of services (and thousands of service instances), concerns such as security, operability and observability pose significant challenges. Supporting compensating capabilities such as circuit breakers, retry policies and service discovery in each microservice adds undesirable code bloat and impacts our ability to choose the best language for the problem at hand should the required libraries not be available.

In this session, we will take an in-depth look at the service mesh pattern; the benefits that a decentralized microservice management approach brings; the best practices that have evolved; and most importantly what you need to know to effectively leverage a service mesh in your architecture:

• How to determine the suitability of a service mesh for your application context. Don't just drink the cloud native Kool-Aid!
• Disambiguate the overlapping responsibilities of an API gateway and service mesh in a modern architecture and demonstrate how they can be used in harmony.
• How a service mesh enables choosing the best tool or language for a given service without being constrained by the availability of libraries for each platform. Effectively it's a weight loss plan for your microservices.
• What techniques to apply when transitioning to a service mesh based architecture.

Additionally, we will take a hands-on look at what is involved to build and manage a microservice architecture leveraging Kubernetes and Istio, a leading open source service mesh. By the end of the session, you will not only understand the concepts underpinning the service mesh pattern but also have the knowledge to put them into practice.

This is NOT a session about MS DevOps tools. This is the story of how the VSTS team transformed from shipping an on-premise server product every couple of years, to shipping a cloud service multiple times a day. In the process, almost everything about how this team of 800 people work has changed.

We had to figure out how to do agile at scale, how to transform into a microservice cloud architecture, complete restructure of teams and roles, threw out a suite of 10’s of thousands of tests and started over, went from almost 0 telemetry, to 8+TB/day and figuring out to do anything meaningful with all that data. Many mistakes were made along the way, and lessons learned that I’ll be sharing.