Stay productive_while_slicing_up_the_monolith

Lessons learned on azure billing, learning how services work and their limitations, cloud architecture, and user stories

This document introduces Docker containers as an alternative to virtual machines for deploying applications. It discusses how containers provide a lightweight method of virtualization compared to VMs. The key Docker concepts of images, containers, registries and Dockerfiles are explained. Examples are provided of building and running containers on both Linux and Windows. The document also outlines how Docker can be used across the development, testing and production environments and integrated with continuous integration/delivery pipelines.

With the ascent of DevOps, microservices, containers, and cloud-based development platforms, the gap between state-of-the-art solutions and the technology that enterprises typically support has greatly increased. But some enterprises are now looking to bridge that gap by building microservices-based architectures on top of Java EE. In this webcast, Red Hat Developer Advocate Markus Eisele explores the possibilities for enterprises that want to move ahead with this architecture. However, the issue is complex: Java EE wasn't built with the distributed application approach in mind, but rather as one monolithic server runtime or cluster hosting many different applications. If you're part of an enterprise development team investigating the use of microservices with Java EE, this webcast will guide you to answers for getting started.

The document discusses how LinkedIn, the world's largest professional network, was built using Java technologies and agile practices. It describes LinkedIn's architecture evolution from 2003 to today, which now uses a service-oriented architecture with over 40 services built with Java. It also discusses LinkedIn's agile engineering process, use of continuous integration testing, and how the site's large network is cached in the cloud.

Fundamental and Practice. Explain about microservices characters and pattern. And also how to be good build microservices. And also additional the scale cube and CAP theory.

Using apache camel for microservices and integration then deploying and managing on Docker and Kubernetes. When we need to make changes to our app, we can use Fabric8 continuous delivery built on top of Kubernetes and OpenShift.

This document summarizes the evolution of cloud computing technologies from virtual machines to containers to serverless computing. It discusses how serverless computing uses cloud functions that are fully managed by the cloud provider, providing significant cost savings over virtual machines by only paying for resources used. While serverless computing reduces operational overhead, it is not suitable for all workloads and has some limitations around cold start times and vendor lock-in. The document promotes serverless computing as the next wave in cloud that can greatly reduce costs and complexity while improving scalability and availability.

The document provides information about a dashboard project created by a team of students under the guidance of Prof. Saurabh Agarwal. It introduces the team members and their roles in the project. It then discusses the problem statement of needing a single solution to extract data from multiple system layers. The proposed solution is a dashboard that provides seamless integration of monitoring tools for a virtual environment. It describes the infrastructure setup using VMware vSphere, Observium, and Turnkey Linux. It also discusses the various APIs implemented to manage virtual machines and the use of Observium for network monitoring and Proxmox VE with Nagios Core for open source virtualization and monitoring.

This document provides an overview of microservice architecture (MSA). It describes the characteristics of MSA, including small, independent services focused on a single business capability. It covers service interaction styles, service discovery, data management challenges in MSA, deployment strategies, and migration from monolithic to MSA. It also discusses event-driven architecture, API gateways, common design patterns, and challenges with MSA.

Making it easy to integrate legacy and iterative microservices with REST/CQRS and deploy to Docker/Kubernetes/OpenShift all on a developer laptop!

This document discusses using streaming collections to process large amounts of data stored in Amazon S3. It describes how Nitro uses Play Iteratees to build asynchronous streams for operations like counting, extracting data, and cleanup. These streams are then abstracted as Scala collections for simple operations like map, filter, and count. Examples are given of using streams to clean files and extract data by date. The benefits of this approach for processing billions of objects across many documents are discussed.

Spring is the most popular and productive enterprise Java development framework in the world, and has always provided developers with portability and choice. The cloud should be no different. Spring applications work flawlessly on all the major platform-as-a-service clouds including Heroku, Google App Engine, and Cloud Foundry. This session will focus on how to design, and create, modern enterprise applications using Spring 3 that are portable across cloud environments.

Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Events and pub/sub are great for allowing such decoupled interaction. Using Apache Kafka as robust, distributed, real-time, high volume event bus, this session demonstrates how microservices packaged with Docker and implemented in Java, Node, Python and SQL collaborate unknowingly. The microservices respond to social (media) events - courtesy of IFTTT - and publish results to multiple channels. The event bus operates across cloud services and on premises platforms such as Kubernetes: both the bus and the microservices can run anywhere. A microservices platform is discussed with generic capabilities. Outline: presentation summary - intro microservices objectives, focus on decoupled collaboration - demo four mservices in different technologies (Node, Java, ...) ; no direct dependencies; show the code (running on its own), show the packing into a container and the step of running the containers on a container management platform, using both Kubernetes and a Container Cloud Service (later on this will further the point of collaborating between microservices that are widely separated) - discuss generic capabilities of a microservices platform (facilities required in many microservices that should be available as microservice - such as cache, log, authenticate (and compare with Java EE application server) - demo a microservice providing a generic cache functionality (based on MongoDB) - outline the desired choreography (a four step workflow that requires participation from various microservices); briefly discuss routing slips and the Saga pattern - discuss use of events and need of event bus - intro Kafka - demo pub and sub from each mservice to Kafka - link IFTTT to Kafka (for demo: use ngrok to expose local Kafka to IFTTT cloud) - demo end-to-end Social event=>IFTTT=>Kafka=>choreographed mservices=> final result - demo: extend one of the microservices: change the code, package a new container image version and update the running version in the container platform; demonstrate that new workflows leverage the new version - demo: move a microservice from on premises to cloud - showing that the decoupled nature of the mservices mean that this move does not have any impact - demo: show a change in the logic of the routing slip; none of the mservices require any change for a changed workflow choreography to be executed - discuss cloud deployment of event bus + mservices

Bhakti Mehta discusses strategies for building resilient microservices architectures. Mehta covers challenges like cascading failures and latency that can occur at scale. Techniques like circuit breakers, timeouts, retries, and bulkheading are presented to isolate failures and prevent them from spreading. Logging and metrics are also important for monitoring systems and identifying issues after deployment. The talk emphasizes anticipating failures through approaches like load testing and designing systems to automatically recover from failures.

What are and aren't microservices? Microservices is a validation of the open-source approach to integration and service implementation and a rebuff of the committee-driven SOA approach. In this

The document discusses IBM's use of Node.js microservices. It describes how IBM initially built monolithic applications but moved to microservices to allow for independent deployment of services and improved scalability. Some key aspects of IBM's microservices architecture using Node.js include having many independent services, communicating via message queues like RabbitMQ, and clustering services locally for horizontal scaling. While microservices provided benefits, the document also notes challenges around legal compliance, operations overhead, and integrating distributed services.

Find out why hosting service providers choose Jelastic for their cloud business and what technologies they offer to the users based on this PaaS and CaaS solution.

The document discusses transitioning from a monolithic architecture to microservices architecture for an IoT cloud platform. Some key points include: - The goals of enabling scalability, supporting new markets, and innovation. - Moving to a microservices architecture can help with scalability, fault tolerance, and independent deployability compared to a monolith. - Organizational structure should also transition from function-based to product-based to align with the architecture. - Technical considerations in building microservices include service interfaces, data management, fault tolerance, and DevOps practices.

**Featuring Aaron Williams, Head of Advocacy at Mesosphere, Inc. and Markus Eisele, Developer Advocate at Lightbend, Inc.** The traditional architecture that enterprises run their businesses on has typically been delivered as monolithic applications running in a virtualized, on-premise infrastructure. Public and private cloud technologies have changed everything, but if the applications are not designed, or re-designed, appropriately, then it is impossible to take advantage of the advances in both distributed application services and hybrid infrastructure. Consequently, enterprise architects are looking to microservices-based architectures as a means to modernize their legacy applications. This webinar with Lightbend and partner Mesosphere will introduce a new framework specifically designed to help developers modernize legacy Java EE applications into systems of microservices and then discuss exactly what is required to run these distributed systems at enterprise scale.

Moving to the cloud isn’t easy, transforming your engineering team to adopt to the cloud and services lifestyle is therefore crucial. It all starts with creating a common understanding of the engineering and development principles which are important in the cloud, which are different then building regular applications. This session will take you on a road trip based on the presenters experience developing and more importantly operating Azure Active Directory, SQL Server Azure and most recently the Xbox Live Services to support Xbox One.

This document discusses running Oracle WebCenter on Oracle Engineered Systems in a virtualized private cloud environment. It provides an overview of WebCenter and Engineered Systems, describes testing done deploying WebCenter on Exalogic virtual machines, and discusses advantages like performance, scalability, and reduced management costs. Key findings are that the private cloud deployment performed well, Oracle VM provided good environment isolation, and management tools were useful, demonstrating the viability of this approach.

Following simple patterns of good application design can allow you to scale your application for your customers easily. This presentation dives into the 12 factor application design and demo how this applies to containers and deployments on Amazon ECS and Fargate. We'll take a look at tooling that can be used to simplify your workflow and help you adopt the principles of the 12 factor application.

The document outlines an infrastructure 2.0 approach based on cloud native technologies. It advocates for infrastructure as code, test-driven deployments, open source tools, and seamless developer workflows. The approach uses microservices, containers, service meshes, and orchestration with Kubernetes. It recommends tools like Terraform, Jenkins, Kubernetes, Istio, Prometheus, Elasticsearch and Airflow for infrastructure provisioning, CI/CD, container management, service mesh, monitoring, logging, and job scheduling. It also discusses Docker, data pipelines, and processes for onboarding new applications.

This document compares and contrasts microservice architecture (MSA) and service-oriented architecture (SOA). SOA defines application components as loosely coupled services that communicate over a network, while MSA develops applications as suites of small services communicating via lightweight mechanisms like REST. The document also discusses Netflix's transition from a monolithic to a microservices architecture led by Adrian Cockcroft, highlighting benefits like speed, autonomy, and flexibility.

A case study on deploying Oracle WebCenter as a cloud app on Oracle Exalogic engineered systems. Some of the challenges, compromises required, and benefits gained running these applications on shared hardware.

A presentation about container technology for the enterprise held at Ekito's geek breakfast the 4th of November 2016.

Create a highly available environment to host your microservices using Node.js, Docker, Kubernetes, and Ansible.