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"Microservices" - yet another new term on the crowded streets of software architecture. Although our natural inclination is to pass such things by with a contemptuous glance, this bit of terminology describes a style of software systems that we are finding more and more appealing. We've seen many projects use this style in the last few years, and results so far have been positive, so much so that for many of our colleagues this is becoming the default style for building enterprise applications. Sadly, however, there's not much information that outlines what the microservice style is and how to do it. In short, the microservice architectural style [1] is an approach to developing a single application as a suite of small services, each running in its own process and communicating with lightweight mechanisms, often an HTTP resource API. To start explaining the microservice style it's useful to compare it to the monolithic style: a monolithic application built as a single unit. Related:  DWH/BI/PM Methodik & Konzeption

Building Microservices: Using an API Gateway - NGINX Editor – This seven‑part series of articles is now complete: You can also download the complete set of articles, plus information about implementing microservices using NGINX Plus, as an ebook – Microservices: From Design to Deployment. Also, please look at the new Microservices Solutions page. The first article in this seven‑part series about designing, building, and deploying microservices introduced the Microservices Architecture pattern. It discussed the benefits and drawbacks of using microservices and how, despite the complexity of microservices, they are usually the ideal choice for complex applications. This is the second article in the series and will discuss building microservices using an API Gateway. When you choose to build your application as a set of microservices, you need to decide how your application’s clients will interact with the microservices. Introduction Let’s imagine that you are developing a native mobile client for a shopping application. Using an API Gateway

BI-Architektur – Konzepte und praktische Umsetzung – Winfwiki Aus Winfwiki 1 Einleitung 1.1 Zielsetzung und Abgrenzung Ziel der Fallstudie ist es in einem ersten Schwerpunkt, die Konzepte, die sich hinter dem Begriff "Business Intelligence" verbergen, zu beleuchten und ein Grundverständnis zunächst einmal des Begriffes selbst und anschließend der Architektur moderner BI-Systeme im Allgemeinen zu schaffen. Dabei liegt der Fokus auf den allgemeingültigen theoretischen Architekturkonzepten der Business Intelligence und es werden keine konkreten herstellerspezifischen Konzepte betrachtet. In einem zweiten Schwerpunkt werden Konzepte der praktischen Umsetzung vorgestellt, d.h. unter welchen Voraussetzungen sind gewisse Architekturkonzepte gut geeignet oder weniger gut geeignet. 1.2 Vorgehensweise Die Fallstudie hat zwei Themenschwerpunkte: "Konzepte" und "praktische Umsetzung". 2 Business Intelligence 2.1 Begriffsklärung Business Intelligence (Abkz. 2.2 Geschichte 2.3 Anwendungsgebiete für BI Abb. 1: BI-Framework 3 Architekturkonzepte 3.1 Fachliche Architektur

Building Microservices - O'Reilly Media Throughout the text, the author introduces many different topics that must be taken into account, such as testing, and monitoring, among others. Each chapter focuses on a specific subject. Here the author describes the problems of the old one huge application only and the benefits we get by moving towards microservices. He also covers the new challenges this new architecture brings with itself (nothing is free, after all). The whole thing is often coupled with real life anectods from the author's experience. As stated in the introduction, the book does not dive into any kind of platform or technology, thus ruling out becoming outdated in half a year. Building Microservices is a pleasant read. Overall, a good read. As usual, you can find more reviews on my personal blog:

Microservice Architecture - A Quick Guide 1. What is Architecture (Software)? Architecture is the fundamental organization of a system embodied in its components (i.e. 2. Microservice means developing a single, small, meaningful functional feature as single service, each service has it’s own process and communicate with lightweight mechanism, deployed in single or multiple servers. 3. 4. Microservice architecture brings a lot of operations overhead.Duplication of Effort.Distributed System is complicated to manage .Default to trace problem because of distributed deployment.Complicated to manage whole products when number of services increases. 5. When you need to support Desktop, web , mobile, Smart TVs, Wearable, etc... or you don't know in future which kind of devices you need to support. 6. Most large scale web sites including Twitter, Netflix, Amazon and eBay have evolved from a monolithic architecture to a microservices architecture. 7. 8. 9. 10. 11. Reference:

API gateway pattern Context Let's imagine you are building an online store that uses the Microservices pattern and that you are implementing the product details page. You need to develop multiple versions of the product details user interface: HTML5/JavaScript-based UI for desktop and mobile browsers - HTML is generated by a server-side web applicationNative Android and iPhone clients - these clients interact with the server via REST APIs In addition, the online store must expose product details via a REST API for use by 3rd party applications. A product details UI can display a lot of information about a product. Basic information about the book such as title, author, price, etc.Your purchase history for the bookAvailabilityBuying optionsOther items that are frequently bought with this bookOther items bought by customers who bought this bookCustomer reviewsSellers ranking... Since the online store uses the Microservices pattern the product details data is spread over multiple services. Problem Forces Solution

Did you Buy a Self-Service BI Fantasy? As I gaze outside my quiet home office window watching an alligator in the pond, I am reminded of my mostly isolated virtual reality. Not even a rare splurge on chocolate chip cookie dough cheered me up. Thank goodness for IT/Dev Connections next week! Even introverts need to socialize a little bit to stay sane. Speaking of sanity, I continue to hear insane expectations that self-service BI tools can replace the need for a data warehouse. “I like nonsense, it wakes up brain cells. Accurate Reporting Data Models have Not Changed While contemporary self-service BI tools are totally amazing and revolutionizing business intelligence everywhere with rapid, simple, visual reporting for everyone, data model design patterns for reporting accurate values over time, across multiple data sources in an organization have not changed. Self-service BI tools in the market today are ideal for personal and team level reporting, quick prototypes and fire-drill, on the spot insights.

Microservices Book Seven micro-services architecture advantages | Art of Software Engineering Recently I had a conversation with an ops engineer on my team about why micro-service architecture makes a lot of sense and why we should embrace it. Most of our applications are monoliths built over years and having new, small micro-services is something new for our environment. “The term “Microservice Architecture” has sprung up over the last few years to describe a particular way of designing software applications as suites of independently deployable services. While there is no precise definition of this architectural style, there are certain common characteristics around organization around business capability, automated deployment, intelligence in the endpoints, and decentralized control of languages and data.”- Martin Fowler. So here are the points that should help convince your coworkers or boss about micro-services style of SOA: Small, easy to understand code base. Do you see any other advantages that I missed?

Optimizing the Netflix API by Ben Christensen About a year ago the Netflix API team began redesigning the API to improve performance and enable UI engineering teams within Netflix to optimize client applications for specific devices. Philosophies of the redesign were introduced in a previous post about embracing the differences between the different clients and devices. This post is part one of a series on the architecture of our redesigned API. We had multiple goals in creating this system, as follows: Reduce Chattiness One of the key drivers in pursuing the redesign in the first place was to reduce the chatty nature of our client/server communication, which could be hindering the overall performance of our device implementations. Due to the generic and granular nature of the original REST-based Netflix API, each call returns only a portion of functionality for a given user experience, requiring client applications to make multiple calls that need to be assembled in order to render a single user experience.