Enterprise APIs With Ease - Scala Developers of Barcelona

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A talk about REST API architecture, the Scala language, the Netflix deployment platform and our own successful development model. Our REST API server project at Netflix was a big success, resulting in 150 web services in five months and no downtime. By taking advantage of self-documenting API frameworks, continuous integration with JSON-friendly API tests and automated deployments, we were able to focus on building services that would publicize themselves. This session highlights the engineering tools and processes that enable rapid API development, deployment and adoption. I'll cover the Scalatra, Swagger, and ScalaTest frameworks as well as Netflix's push-button deployment system using Jenkins and Asgard.

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Enterprise APIs With Ease - Scala Developers of Barcelona

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When architecting an application, you need to choose between the traditional monolithic architecture, or the more fashionable microservices architecture consisting of many smaller services. But rather than blindly picking the familiar or the fashionable, it’s important to remember what Fred Books said almost 30 years ago: there are no silver bullets in software. Every architectural decision has both benefits and drawbacks. Whether the benefits of one approach outweigh the drawbacks greatly depends upon the context of your particular project. Moreover, even if you adopt the microservices architecture, you must still make numerous other design decisions, each with their own trade-offs. A software pattern is an ideal way of describing a solution to a problem in a given context along with its tradeoffs. In this presentation, we describe a pattern language for microservices. You will learn about patterns that will help you decide when and how to use microservices vs. a monolithic architecture. We will also describe patterns that solve various problems in a microservice architecture including inter-service communication, service registration and service discovery.

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This is the talk I gave at JFokus 2016 on event-driven microservices. This presentation looks at the importance of events and the role that they play in applications. We describe how events are a key application integration mechanism and how they are used by applications to communicate with the outside world. You will learn how the microservices inside a system can use events to maintain data consistency. We discuss how easy it is to implement both of these mechanisms by developing your core business logic using an event-centric approach known as event sourcing.

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This is a talk I gave in Shanghai on July 4th 2016 In a microservices architecture, each service has its own database. While this ensures that services are loosely coupled it creates a problem: how do you maintain consistency across services without using 2PC? In this talk you will learn more about these issues and how to solve them by using an event-driven architecture. We will describe how event sourcing and Command Query Responsibility Separation (CQRS) are a great way to realize an event-driven architecture. You will learn about a simple yet powerful approach for building, modern, scalable applications.

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Event sourcing persists each entity as a sequence of state changing event. An entity’s current state is derived by replaying the events. Event sourcing is a great way to implement event-driven micro services. When one service updates an entity, the new events are consumed by other services, which then update their own state. In this talk we describe how to implement business logic using a domain model that is based on event sourcing. You will learn how to write functional, immutable domain models in Scala. We will compare and contrast a hybrid OO/FP design with a purely functional approach. You will learn how Domain Driven Design concepts such as bounded contexts and aggregates fit in with event-driven microservices.

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Microservices are an essential enabler of agility but developing and deploying them is a challenge. In order for microservices to be loosely coupled,each service must have its own datastore. This makes it difficult to maintain data consistency across services. Deploying microservices is also a complex problem since an application typically consists of 10s or 100s of services, written in a variety of languages and frameworks. In this presentation, you will learn how to solve these problems by using an event-driven architecture to maintain data consistency and by using Docker to simplify deployment.

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This is the talk that the Kenny Bastani and I gave at JavaOne 2016. When you’re building JVM applications in a microservice architecture, managing state becomes a distributed systems problem. Instead of being able to manage state as transactions inside the boundaries of a single monolithic application, a microservice must be able to manage consistency by using transactions that are distributed across a network of many different applications and databases. This session explores the problems of data consistency and high availability in JVM-based microservices and how to use event sourcing to solve these problems.

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