L23 Summary and Conclusions
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This lecture discusses challenges in building enterprise applications and provides advice. It recommends starting simply and evolving designs over time. Complex systems designed from scratch never work, so layering, clear interfaces, and minimizing dependencies are important. Frameworks and design patterns help manage complexity but shouldn't dictate design. Practical considerations include avoiding unnecessary complexity and refactoring when needed.
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This document provides a summary and conclusions from a lecture on enterprise application architecture. It discusses that building complex computer systems gets exponentially harder with increased complexity. However, with proper techniques like layering, interfaces, object-oriented programming, design patterns, and frameworks, building large multi-tier systems can be done incrementally. It emphasizes separating concerns, minimizing dependencies between layers, and avoiding unnecessary complexity. Practical considerations include avoiding overdesign, overconfiguration, and not being constrained by frameworks. The future of enterprise software will involve challenges of connectivity between an increasing number of devices and software integration through APIs, cloud computing, and mobility.
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L19 Local
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Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
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This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
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with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
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This document provides an outline for an agile software architecture workshop. It begins by defining software architecture and describing key concepts like requirements, design principles, and architectural patterns. It emphasizes that architecture should enable agility by traveling light with just enough design. The document proposes techniques for agile architecture like architectural katas, risk analysis, and evolving the architecture over time with experiments. It concludes by providing an example architectural pitch for a restaurant ordering system that emphasizes high-level design, risks, and timelines.
Technology insights: Decision Science Platform
Presentazione dello speech tenuto da Carmine Spagnuolo (Postdoctoral Research Fellow - Università degli Studi di Salerno/ ACT OR) dal titolo "Technology insights: Decision Science Platform", durante il Decision Science Forum 2019, il più importante evento italiano sulla Scienza delle Decisioni.
Software Factories in the Real World: How an IBM WebSphere Integration Factor...
This document discusses how an automotive retailer set up an efficient software factory using IBM tools like Rational Software Architect and WebSphere Message Broker to integrate a new point of sale system with their SAP backend. The software factory employed techniques like model-driven development and continuous integration to help scale development and keep customers satisfied. Key practices that helped succeed included tighter architectural control using Rational Software Architect models and service definitions, and keeping the distributed team coordinated using Rational Team Concert for planning, source control, and tracking progress across locations. The integrated approach and tools helped the retailer successfully complete the large integration project.
Winning People to DevOps
How can we communicate the effectiveness of DevOps to technical and business people?
What metaphors and examples help?
What kind of people should we hire?
This presentation was given as an Ignite talk at DevOps Days Europe 2010 in Hamburg.
Cloud Computing & Cloud Storage
Slides contain basics of Cloud Technology. Applications & Advantage of Cloud Storage & Cloud Computing. Including Architecture of Cloud Computing.
Software systems engineering PRINCIPLES
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
Distributed Systems in Data Engineering
A distributed system in its most simplest definition is a group of computers working together as to
appear as a single computer to the end-user. These machines have a shared state, operate
concurrently and can fail independently without affecting the whole system’s uptime.
This is in line with ever-growing technological expansion of the world, distributed systems are
becoming more and more widespread. Take a look at the increasing number of available
computer technologies/innovation around, this is sporadically increasing, and this result in
intense computational requirement.
Yeah, Moore’s law proposed more computing power by fitting more transistors (which
approximately doubles every two years) into a simple chip using cost-efficient approach - cool,
but over the past 5 years, there has been little deviation from this - ability to scale horizontally
and not just vertically alone.
Intro Cloud Computing
This document provides an introduction to cloud computing, including definitions, history, and key concepts. It discusses how cloud computing moves computing away from desktops and onto centralized servers accessed over the internet. The document outlines several industry definitions of cloud computing and discusses the evolution of computing models from distributed to centralized approaches. It also summarizes some of the main issues, opportunities, and technical aspects of cloud computing such as multi-tenancy, scalability, and service models.
Software Architecture for Agile Development
Slides of a workshop given at Herzliya on June/2017, organized by ILTAM and IASA Israel. This workshop was dedicated to the topic of Software Architecture in the context of Agile Development. We answered the question: “How much Design Up Front should be done in an Agile project?” Hayim presented his approach of Adaptable Design Up Front (ADUF), describing its rationale, applications in practice and comparison to other approaches such as Emergent Design. He explained why adaptability is essential for the development of complex software systems using Agile methods. The concepts were illustrated through practical software architecture approaches such as micro-services and examples of real software systems that were developed in the past. The workshop also included an exercise on the definition and evolution of the design of an interesting system.
Hönn2014 L01 Enterprise Applications
Í þessum fyrsta fyrirlestri fjöllum við um Enterprise forrit, hvað einkennir þau og hvaða áskoranir við stöndum frammi fyrir. Byrjum á því að skoða forritunarlausnir í samhengi við þróun undanfarinna ára. Menn tala um að nú séu "post PC" tímabil þar sem einkatölvan eins og við þekkjum hana er bara eitt af mörgum tækjum sem við notum. Forritun okkar geta verið snjallsíma öpp eða PC forrit og gögnin okkar eru í tölvuskýjunum.
Við skilgreinum hvað er átt við með Enterprise forritun og tökum fjölmörg dæmi. Skilgreinum B2B, B2C og tegundir af lausnum. Þá lítum við á þróun enterprise lausna frá Client-Server til gagnavera sem hýsa microservice lausnir. Slæmu fréttirnar eru að það er mjög erfitt að smíða svona lausnir, en góðu fréttirnar eru að við höfum fjölmörg tæki og tól til að hjálpa okkur.
A Software Factory Integrating Rational & WebSphere Tools
The document discusses how a large automotive retailer integrated Rational Software Architect, WebSphere Message Broker, and Rational Team Concert into a software factory to develop an integration layer between a new point of sale system and SAP backend. Key challenges included a multi-vendor global team and parallel development of UI, integration, and backend layers. The software factory employed model-driven development, continuous integration, and practices like architectural modeling in UML, automated WSDL generation, tracking work items and impediments, and collaborative configuration management to help coordinate distributed development and integrate results.
Journey from Monolith to a Modularized Application - Approach and Key Learnin...
OSGi Community Event 2017 Presentation by Emanoel Xavier (Intel) and Tim Ward (Paremus)
Open Security Controller (OSC) aims to increase the security of workloads running in cloud and data centers by orchestrating security virtual network functions (VNFs). To achieve that, one of the main design goals of OSC is to allow vendor customization while keeping its core code neutral. Additionally, as an open source project, another import design principal for OSC is code habitability. Evolving from a legacy monolithic application to a modularized one through OSGi has enabled OSC to implement these goals.
Bringing together a diverse group of security services and software defined network (SDN) providers was key to building the OSC community. This was possible due to the OSC plugin model using OSGi which allows specific vendors to integrate OSC with their existing solutions with minimum effort. Beyond its plugin model OSC also makes use of OSGi in its core components. This enables better extensibility, testability and overall maintainability of its code base. These aspects are key to OSC as it relates to the new and dynamic areas of SDN and security VNFs in cloud and data center environments and it must be able to easily adapt to the constantly changing requirements and technologies pertaining these fields.
In this talk we will explore the journey for turning OSC into a modularized application using OSGi, highlighting some of the achieved results, key learned lessons and the next steps for this work.
https://www.opensecuritycontroller.org/
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More from Ólafur Andri Ragnarsson
Nýsköpun - Leiðin til framfara
Fyrirlestur fyrir Félag tölvunarfræðinga og Verkfræðingafélagið þann 18.05.2022
Nýsköpun er forsenda tækniframfara sem eru forsendur framþróunar. Nýsköpun byrjar yfirleitt smátt og þarf margar ítranir til að virka. Frumkvöðlar sem eru að búa til nýjungar þurfa ekki einungis að glíma við tæknina og takmarkanir hennar, heldur einnig skoðanir og álit samtímamanna sem sjá ekki alltaf tilgang með nýrri tækni. Í þessum fyrirlestri skoðar Ólafur Andri nýsköpun og þær framfarir sem hafa orðið. Einnig skoðar hann hvert tækniframfarir nútímans muni leiða okkur á komandi árum.
Ólafur Andri Ragnarsson er aðjúnkt við Háskólann í Reykjavík og kennir þar námskeið um tækniþróun og hvernig tæknibreytingar hafa áhrif á fyrirtæki. Hann er tölvunarfræðingur (Msc) að mennt frá Oregon University í Bandaríkjanum. Ólafur Andri er frumkvöðull og stofnaði, ásamt fleirum, Margmiðlun og síðar Betware. Þá tók Ólafur Andri þátt í að stofna leikjafyrirtækið Raw Fury AB í Stokkhólmi.
Nýjast tækni og framtíðin
Fyrirlestur haldinn fyrir tæknifaghóp Stjórnvísi þann 13. október 2020.
Undanfarna áratugi höfum við séð gríðalegar framfarir í tækni og nýsköpun á heimsvísu. Þessar framfarir hafa skapað mannkyninu öllu aukna hagsæld. Þrátt fyrir veirufaraldur á heimsvísu eru framfarir ekkert að minnka heldur munu bara aukast næstu árum. Gervgreind, róbotar, sýndarveruleiki, hlutanetið og margt fleira er að búa til nýjar lausnir og ný tækifæri. Framtíðin er í senn sveipuð dulúð og getur verið spennandi og ógnvekjandi í senn. Eina sem við vitum fyrir vissu er að framtíðin verður alltaf betri. Í þessu fyrirlestri ætlar Ólafur Andri Ragnarsson kennari við HR að fjalla um nýjustu tækni og framtíðina.
New Technology Summer 2020 Course Introduction
Slides on the New Technology Summer 2020 Course. Contains information about the content and requirements.
L01 Introduction
Technology is one of the factors of change. When new disruptive technology is introduced, it can change industries. We have many examples of that and will start this journey it one of the most important innovation that has come in our lifetimes, the smartphone. We will explore the impact of the smartphone and the fate of existing companies at the time when iPhone, the first smartphone as we know them, was introduced to the world.
We will also look at other examples from history. Then we look at the broader picture, past industrial revolutions and the one that we are experiencing now, the fourth industrial revolution. Specifically we look briefly at the technologies that fuel this revolution, for example artificial intelligence, robotics, drones, internet of things and more.
L23 Robotics and Drones
This document summarizes a lecture on robotics and drones. It discusses the history of robots dating back to ancient times. It also covers modern industrial robots, robotic developments in the 21st century including robots that can see, hear and sense. The document outlines Isaac Asimov's three laws of robotics. It discusses self-driving cars and their levels of automation. Finally, it covers unmanned aerial vehicles including military drones and delivery drones, and concludes that the robot revolution has only just begun.
L22 Augmented and Virtual Reality
The normal interaction with computers is with keyboard and a mouse. For display a rectangular somewhat small screen is used with 2D windowing systems. The mouse was invented more the 40 years ago and has been for 20 years dominant input. Now we are seeing new types of input devices. Multi-touch adds new dimensions and new applications. Natural user interfaces or gesture interfaces where people point to drag objects. Computers are also beginning to recognize facial expressions of people, so it knows if you are smiling. Voice and natural language understanding is getting to a usable stage. All this calls all types of new applications.
Displays are getting bigger. What if any surface was a screen? If you could spray the wall with screen? Or have you phone project images to the wall.
This lectures explores some of these new types of interactions with computers and software. It makes the old mouse look old.
L20 Personalised World
Local is the Lo in SoLoMo, the buzz word. Local is not only about location, it's also about your digital track record. Over 70% of Netflix users watch the films recommend. Mining data to understand people's behaviour is getting to be a huge and valuable business. Advertisers see opportunities in getting direct to their target groups. Predictive intelligence is also about where you will be at some time in the future, and where somebody you know will be.
It turns out that Facebook and Google know you better than you think you know yourself. The world is about to get really scary.
L19 Network Platforms
Over two billion people signed up for Facebook. This site the most used site for people when using the Internet. People are not watching TV so much anymore - they using Facebook, Youtube and Netflix and number of popular web sites.
Some people denote their time working for others online. What drives people to write an article on Wikipedia? They don´t get paid. Companies are enlisting people to help with innovations and sites such as Galaxy Zoo ask people to help identifying images. And why do people have to film themselves singing when they cannot sing and post the video on Youtube?
In this lecture we talk about how people are using the web to interact in new ways, and doing stuff.
L18 Big Data and Analytics
With the computer revolution vast amount of digital data has become available. With the Internet and smart connected product, the data is growing exponentially. It is estimated that every year, more data is generated than all history prior. And this has repeated over several years.
With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data. There are many well-know algorithms to analyse data, like clustering and machine learning.
L17 Algorithms and AI
After the computing industry got started, a new problem quickly emerged. How do you operate this machines and how to you program them. The development of operating systems was relatively slow compared to the advances in hardware. First system were primitive but slowly got better as demand for computing power increased. The ideas of the Graphical User Interfaces or GUI (Gooey) go back to Doug Engelbarts Demo of the Century. However, this did not have much impact on the computer industry. One company though, Xerox, a photocopy company explored these ideas with Palo Alto Park. Steve Jobs of Apple and Bill Gates of Microsoft took notice and Apple introduced first Apple Lisa and the Macintosh.
In this lecture on we look so lessons for the development of software, and see how our business theories apply.
In this lecture on we look so lessons for the development of algorithms or software, and see how our business theories apply.
In the second part we look at where software is going, namely Artificial Intelligence. Resent developments in AI are causing an AI boom and new AI application are coming all the time. We look at machine learning and deep learning to get an understanding of the current trends.
L16 Internet of Things
We are currently living in times of great transformation. We have over the last couple of decade seen the Internet become the most powerful disrupting force in the world, connecting everyone and transforming businesses. Now everyday objects - things we use are getting smart with sensors and software. And they are connecting. What does this mean?
We will see the world become alive. Cars will talk to road sensors that talk to systems that guide traffic. Plants will talk to weather systems that talk to scientists that research climate change. Farming fields will talk to the farming system that talks to robots that do fertilising and harvesting. Home appliances like refrigerators, ovens, coffee machines and microwaves ovens will talk to the home food and cooking system that will inform the store that you are running out butter, cheese, laundry detergent and coffee beans, which will inform the robot driver to get this to your house after consulting your calendar upon when someone is at home.
In this lecture we explore the Internet of Things, IoT.
L14 From the Internet to Blockchain
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialization of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
The Internet grew out of US efforts to build the ARPANET, a network of peer computers built during the cold war. The two major players were military and academia. The network was simple and required no efforts for security or social responsibility. The early Internet community was mainly highly educated and respectable scientist. In the early 1990s the World Wide Web, a hypertext system is introduced, and soon browsers start to appear, leading the commercialisation of Net. New businesses emerge and a technology boom known as the dot-com era.
The network, now over 40, is being stretched. Problems such as spam, viruses, antisocial behaviour, and demands for more content are prompting reinvention of the Net and threatening its neutrality. Add to this government efforts to regulate and limit the network.
In this lecture we look at the Internet and the impact of the network. We will also look at the future of the Internet.
L14 The Mobile Revolution
- Mobile phones are now the most common device in the world, with over 8.5 billion connections globally as of 2017.
- The development of mobile phones was enabled by earlier innovations in electromagnetism and radio in the late 19th century, but mobile phones did not become practical until the 1980s with the invention of the microchip.
- Mobile technology has advanced through generations from analog 1G networks in the 1980s, to digital 2G networks in the 1990s incorporating texting, and 3G packet switched networks in the 2000s enabling more data and applications.
New Technology 2019 L13 Rise of the Machine
Did you know that the term "Computer" once meant a profession? And what did people or computers actually do? They computed mathematical problems. Some problems were tedious and error prone. And it is not surprising that people started to develop machines to aid in the effort. The first mechanical computers were actually created to get rid of errors in human computation. Then came tabulating machines and cash registers. It was not until telephone companies were well established that computing machines became practical.
First computers were huge mainframes, but soon minicomputers like DEC’s PDP started to appear. The transistor was introduced in 1947, but its usefulness was not truly realized until in 1958 when the integrated circuit was invented. This led to the invention of the microprocessor. Intel, in 1971, marketed the 4004 – and the personal computer revolution started. One of the first Personal Computers was MITS’ Altair. This was a simple device and soon others saw the opportunities.
In this lecture we start our coverage of computing and look at some of the early machines and the impact they had.
L12 digital transformation
Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. Software is changing the way traditional business operate. People now have smartphones in their pockets - a supercomputer that is 25,000 times more powerful and the minicomputers of the 1960s. This is changing people's behaviour and how people shop and use services. The organisational structure created in the 20th century cannot survive when new digital solution are being offered. The hierarchical structure of these established companies assumes high coordination cost due to human activity. But when the coordination cost drops
The organisational structure that companies in the 20th century established was based on the fact that employees needed to do all the work. The coordination cost was high due to the effort and cost of employees, housing etc. Now we have software that can do this for use and the coordination cost drops to close-to-zero. Another thing is that things become free. Consider Flickr. Anybody can sign up and use the service for free. Only a fraction of the users get pro account and pay. How can Flickr make money on that? It turns out that services like this can.
Many businesses make money by giving things away. How can that possibly work? The music business has suffered severely with digital distribution of content. Should musicians put all their songs on YouTube? What is the future business model for music?
L10 The Innovator's Dilemma
One of the great irony of successful companies is how easily they can fail. New companies are founded to take advantage of some new technology. They become highly successful and but when the technology shifts, something new comes along, they are unable to adapt and fail. This is the innovator’s dilemma.
Then there are companies that manage to survive. For example, Kodak survived two platform shift, only til fail the third. IBM has survived over 100 years. What do successful companies do differently?
L09 Disruptive Technology
History has many examples of great innovators who had difficult time convincing their contemporaries of new technology. Even incumbent and powerful companies regarded new technologies as inferior and dismissed it as "toys". Then when disruptive technologies take off they often are overhyped and can cause bubbles like the Internet bubble of the late 1990s.
In this lecture we look at some examples of disruptive technologies and the impact they had. We look at the The Disruptive Innovation Theory by Harvard Professor Clayton Christensen.
L09 Technological Revolutions
Technology evolves in big waves that we call revolutions. The first revolution was the Industrial revolution that started in Britain in 1771. Since than we have see more revolutions come and how we are in the fifth. These revolutions follow a similar path. First there is an installation period where the new technologies are installed and deployed, creating wealth to those who were are the right place at the right time. This is followed by a frenzy, where financial markets wants to be apart. The there is crash and turning point, followed by synergy, a golden age.
In 1908, a new technological revolution started. It was the Age of Oil and Automobile. The technology trigger was Henry Ford´s new assembly line technique that allowed the manufacturing of standardized, low cost automobile. This created the car industry and other manufacturing companies. This also created demand for gas thus creating the oil industry. During the Roaring Twenties the stock prices rose to new levels, until a crash and the Great Depression. Only after World War II, came a turnaround point followed by a golden age in the post-war boom.
In this lecture we look at a framework for understanding technological revolutions. There revolutions completely change societies and replace the old with new technologies. We will explore how these revolutions take place. We should now be in the golden age phase.
We also look at generations.
L07 Becoming Invisible
In the early days of product development, the technology is inferior and lacking in performance. The focus is very much on the technology itself. The users are enthusiast who like the idea of the product, find use for it, and except the lack of performance. Then as the product becomes more mature, other factors become important, such as price, design, features, portability. The product moves from being a technology to become a consumer item, and even a community.
In this lecture we explore the change from technology focus to consumer focus, and look at why people stand in line overnight to buy the latest gadgets.
L06 Diffusion of Innovation
This document summarizes a lecture about the diffusion of innovation. It discusses how new ideas are developed through collaboration and exchange. It also discusses how innovations diffuse slowly at first, gaining momentum over time as they are adopted by pragmatists and conservatives seeking convenient solutions. The rate of adoption follows an S-curve, with innovators and enthusiasts driving early adoption and the mass market adopting later. Customers' motivations for adoption change over time, initially valuing the innovation's benefits and later valuing its functionality. Factors like network effects, convenience, and compatibility influence adoption rates.
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An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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L23 Summary and Conclusions
- 1. Lecture 23 Summary and Conclusions
- 2. “Advice is a dangerous gift” There are no right answers Use the advice to prod your thinking, but don’t use it as a replacement for your thinking And remember, architecture is not cast in stone
- 3. Building Enterprise Applications Building computer systems is hard – As the complexity of the system gets greater, the task of building the software gets exponentially harder
- 4. Building Enterprise Applications Building computer systems is hard Design Pattern Software Architecture Middleware Frameworks OO Programming
- 5. Building Enterprise Applications Building computer systems is hard But now when we know how to, it’s not that hard anymore
- 6. “A complex system that works is invariably found to have evolved from a simple system that worked. The inverse proposition also appears to be true: a complex system designed from scratch never works and cannot be made to work. You have to start over, beginning with a simple system.” — John Gall, systems theorist
- 7. Goals of an Enterprise Architecture Be robust Be performing and scalable Take advantage of OO design principles Avoid unnecessary complexity Be maintainable and extensible Be easy to test
- 8. Enterprise Systems Building large multi-tier systems is done one line at a time – Layering – Clear interfaces – Minimize dependencies – Separation of concerns – Object Oriented programming – Design patterns – Frameworks – Testable code
- 9. Create Abstractions Minimize dependence on subsystems – Must be easy to change • Gateway, Mapper, Service Stub Abstract things that varies from what stays the same – Design principles • Factory, Plugin, Dependency Injections
- 10. Separation of Concerns One of the main challenge of frameworks is to provide separation of concerns Frameworks deal with generic functionality Frameworks need patterns to combine generic and domain specific functionality
- 11. Minimize dependencies Be careful with dependencies – It is easy to create code where modules depend on other modules • Plugin, Factory, Service Layer, Separated Interface, Dependency Injection and Observer Pattern
- 12. Layering Software systems can get complicated – Abstractions are needed Provides abstraction by separating computer systems in layers – Higher layers use services from lower layers – Each layer has dedicated task and hides complexity from upper layers
- 13. The Three Layers Presentation – User’s interface to the system – User can be another system – Accepts input, displays views Domain – The Application of the system – The “Business logic” – Has the tendency to creep into other layers Data Source – Connection to the database
- 14. Three Layers Presentation Layer for the User Interface Domain Layer for the domain logic Persistence Layer for the data access Remember the “role” – concern, in each layer
- 15. Considerations Don’t overdesign! – User Interfaces are really difficult to make generic and reusable – If there is no need for extra layer, don’t have it – If you don’t need an interface, don’t have it Don’t let frameworks rule you! – If you have to write code just to satisfy a framework, maybe there is another way – or fix the framework – Frameworks can overdo it
- 16. Considerations Don’t overdo Configurations – Sometimes coding is better than config – Testing and debugging config is hard Don’t be afraid to Refactor – You can always add another indirection – You can always add a new layer Design Principles are good guidelines – Don’t be afraid to reevaluate them
- 17. Considerations Embrace new tools and techniques – These exist to help you – But be careful, don’t jump at everything – there is a cost Use Tech Rader to evaluate – Example: ThoughtWorks Radar http://www.thoughtworks.com/radar
- 18. Practical Considerations Risk is in feature creep and things out of control
- 19. Practical Considerations Solutions are designed and implemented according to time schedule and budget – Hardest part is management of people
- 20. Practical Considerations Agile is an attempt to answer this Backlog Backlog ordered by Product Owner Sprint stories Daily Standup 1-2 week sprints Working Product Working Product Released
- 22. Tech Radar
- 23. Tech Radar ADOPT Start using when appropriate TRIAL Learn and try out to understand ASSESS Evaluate how this will impact the company HOLD Proceed with causion
- 24. Trends 2014 Churn in the JavaScript World – Rise of JavaScript libraries Microservices and the Rise of the API – Importance of the APIs both within an organization and as a bridge to the outside world Conway's Law – Ignoring this law is dangerous Re-decentralization – Data and infrastructure
- 29. Future of Enterprise Software
- 30. THE DIGITAL DECADE MUSIC PICTURE S TV SHOWS MOVIES 2000 2010 VOICE SMARTPHONES BOOKS
- 31. Mainframes Mini computers DIVERGE Personal Computers Servers Laptops 2G Cell phones Clusters Smartphones Tablets Smart TV Wearable Cloud – utility computing Music player CONVERGE 1960 1970 1980 1990 2000 2010 Internet of things SaaS - APIs
- 32. Wearable Era
- 34. Digital Online World Work More information Focused Browsing Consuming content Checking Mobile Now Consuming Video Information Real-time
- 35. The Post-PC Era The Personal Computer era is over – Rise of the network – APIs – Enterprise systems are accessible by consumers – New devices, mobile phone, ITV, game machines, MP3 players,... Source: (cc) 1998-2008 Digibarn Computer Museum, Source: Picture from Convergence Transforms Digital Home: Techno-Economic Impact
- 36. Challenges in Computing Hardware Connecting hardware Network Software 1980 1990 2000 Connecting software Software and integration of components and devices are the challenges ahead Cloud computing and ubiquity Move to Service Oriented Architecture and APIs
- 37. Challenges in Computing Software Connecting software Mobility Wearables APIs, SaaS, real-time 2000 2010 2020 Multiple devices – anything can connect Ability to predict – know the users Data Analytics aka Big Data Real-time streams
- 38. Hönnun og smíði hugbúnaðar 2014
- 39. Objectives Know the basics of software design and beautiful code Understand and know how to use design patterns Implement software framework with component reuse in mind
- 40. Objectives continued Understand different software architectures and the different design choices Understand Software Oriented Architecture (SOA) and Software as a Service (SaaS) Understand the practices of how professional software is developed in the software industry
- 43. Næst Síðasti tími fyrir próf
Editor's Notes
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