Claude Ducharme, CTO of GoBee.Bike, summarizes the company's experience launching their bike sharing business in less than 2 months using agile development practices and AWS cloud services. They rapidly recruited employees, closed funding, and deployed bikes across new territories while relying on AWS to scale their architecture and handle traffic from a press release that initially crashed their servers. Ducharme highlights how using AWS allowed them to select computing resources with a few clicks and be up and running in 5 minutes compared to the multi-week process of procuring and installing their own servers.
Presentation gives a broad view of cloud computing and organizations adapt cloud. Also the concerns of lift and shift and cloud lock in.
This document discusses the future of enterprise integration and the concept of micro-integration. It begins by defining enterprise integration and noting the changing integration landscape with cloud, mobile, APIs and IoT. Future integration needs include growth in integration points, agility, orchestration of complex workflows, integrating diverse applications and services, improved performance and scalability. Micro-integration is proposed as integrating microservices and other applications independently with lightweight runtimes that can be developed, deployed and scaled separately. Hybrid integration platforms are needed to support different integration scenarios from on-premise to cloud.
On the back of Integrate 2014, Sam Vanhoutte will discuss view on some of the implications of the announcements made at the conference and talk about how this might affect the future for integration professionals
This document discusses microservices and their implementation on the MuleSoft Anypoint Platform. It describes the typical anatomy of a microservice including business logic, integration logic, connectivity logic, and API contracts. It also discusses different variations of microservices and common integration patterns applied to microservices. Additionally, it outlines the Mule software development lifecycle and how microservices can be deployed on private PaaS or MuleSoft's public PaaS, CloudHub.
This slide deck explores the impact of MSA on API strategies and designs and the possible changes in API design and deployment, API security, control and monitoring, and CI/CD. Watch recording: https://wso2.com/library/webinars/2018/09/apis-in-a-microservice-architecture
I Love APIs 2015 Machine learning, big data, and API technologies have drastically reduced the complexity of building predictive apps. But all these advances also mean that these apps require a new approach to system architecture. This talk discusses the lamda architecture and microservices, and best practices on decomposing your app into batch, near-realtime, an real-time services. Learn how Apigee uses both new architectures to implement predictive apps using Hadoop, Node.js, Cassandra, and ElasticSearch.
This document discusses service-based architecture and microservices. It begins by covering early technologies like .NET Remoting, RMI, and SOAP that influenced service-oriented architecture (SOA). It then discusses key aspects of service-based architecture like service contracts, availability, security, and transactions. The document outlines how SOA led to REST and cloud computing. It provides an example of how an online shopping application could be broken into microservices. Finally, it discusses challenges teams may face with microservices like tooling expertise and cross-cutting governance issues.
** Microservices Architecture Training - https://www.edureka.co/microservices-architecture-training ** This Edureka’s Microservices Interview Questions and Answers video (Microservices Blog Series: https://goo.gl/WA5k9u) will help you to prepare for the Microservices Interviews. Below are the topics covered in this Microservices Interview Questions and Answers Tutorial: 1) Basic Microservices Interview Questions 2) Microservices Architecture Interview Questions 3) Spring Boot Interview Questions 4) Continuous Deployment Interview Questions 5) Continuous Monitoring Interview Questions
This document compares the characteristics of traditional computing with cloud platforms, noting that traditional computing requires upfront investment and total responsibility while cloud platforms offer agility, consumption-based pricing, user self-service, high availability, and resiliency. It also discusses the different deployment models of public, private, and hybrid clouds and the service models of infrastructure as a service, platform as a service, and software as a service available on the Azure cloud platform.