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An A-Z Guide to being an Architect

07 Thursday Jan 2016

Posted by Max Hemingway in Architecture, Big Data, Cloud, Development, DevOps/OpsDev, Enterprise Architecture, Governance, Innovation, IoT, Open Source, Productivity, Programming, Security, Social Media, Tools

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Architecture, Cloud, CPD, Data, Development, DevOps, Innovation, IoT, Knowledge, learning, Open Source, OpsDev, Productivity, Programming, Social Media

Back in 2008 Microsoft published An A-Z Guide to ABCBeing an Architect in their Architecture Journals.

Here is my take on an updated A to Z Guide to being an Architect. A couple of these may be similar.

A – Architect

Having the right level of skills as an Architect or engaging an Architect with the right level of skills will depend on the work needing to be undertaken. There are several types of Architect with some specialising in certain areas and others being multi domain skilled. The list below covers some of the different types of Architect- this is not an exhaustive list:

  • Enterprise Architect
  • Information Architect
  • Solutions Architect
  • Software Architect
  • Systems Architect

B – Blueprints

Following Blueprints and Patterns either published by vendors (such as the Microsoft Blueprints) or developed internally around your products and services will ensure repeat-ability and cost control around the design process.

Some examples showing different pattern types can be found at Architecture Patterns

C – Contextual Web Era

The up and coming 4th Platform area is the Contextual Web Era

  • 1st Platform – Mainframe Era
  • 2nd Platform – Client Server Era
  • 3rd Platform – Cloud Era
  • 4th Platform – Contextual Web Era

This is an up and coming era with lots of new innovation and developments. Keeping up with developments is key going forward for any architect to understand designs/solutions, art of the possible now and future, innovation and for developing roadmaps for solutions.

D – DevOps

To quote Wikipedia – “DevOps (a clipped compound of “development” and “operations”) is a culture, movement or practice that emphasizes the collaboration and communication of both software developers and other information-technology (IT) professionals while automating the process of software delivery and infrastructure changes”. Having knowledge of DevOps, OpsDev and Agile assist with Architecting a solution for a business understanding their practices and modes of interacting with technology to meet business requirements. A Good book on the subject of DevOps is “The Phoenix Project” by Gene Kim.

E – Enterprise Architecture

EA (Enterprise Architecture) is a blueprint that defines how a business can meet its objectives and strategy. This is achieved by conducting analysis, design, planning, recommendations and implementations through an Enterprise Architecture Framework

Enterprise Architecture Wikibook

F – Four Two Zero One Zero

42010 is the ISO Standard that most frameworks adhere to. Working to a Framework brings structure to your designs and life cycles.

There are a number of frame works available such as:

  • DoDAF
  • MoDAF
  • TOGAF
  • Zachman
  • Other Frameworks are available

Enterprise Architecture Wikipedia Book

G – Governance

Governance is an important part of architecture as it

  • Ensures Conformance
  • Controls Variance
  • Maintains Vitality
  • Enables Communication
  • Sets Direction
  • Issue Resolution
  • Provides Guidance and Prioritisation
  • Promotes Best Practise
  • Minimises Risk
  • Protects IT environments from tactical IT changes, project solutions, and strategic proposals that are not in an organisations global best interest
  • Controlling Technical Diversity, Over-Engineering and Unnecessary Complexity
  • Ensures projects can proceed quickly & efficiently
  • Control over IT spend
  • Quality Standards
  • Efficient and optimal use of resources and increase the effectiveness of IT processes

H – Hands On

It is important to be current and understand the technologies you are architecting. There are lots of options available to get your hands dirty using technology from using Cloud Servers to virtual machines on your compute device. There are other computing devices such as the Raspberry PI that provide a cheap alternative to standing up small farms to learn on.

I – IoT

IoT (Internet of Things) is where physical things are connected by the internet using embedded sensors, software, networks and electronics. This allows the items to be managed, controlled and reported on. My blog posts on IoT Device Security Considerations and Security Layers goes into more detail on this subject.

J – Juxtaposition

Juxtaposition is something an architect should be doing to compare things/items/artefacts etc.
noun;
1. an act or instance of placing close together or side by side, especially for comparison or contrast.
2.the state of being close together or side by side.

Source:http://dictionary.reference.com/browse/juxtaposition

K – Knowledge

I would class Skills with Knowledge. It is important as an Architect to ensure that your skills/knowledge are up to date and where you are unsure of a technology, you have a plan to address and skill up. Build a good CPD (Continuing Professional Development) plan and work towards completing it.

L – Language

With the move to cloud it is important to ensure your scripting skills are up to date as most cloud platforms use scripting to assist with the deployment of environments. This is also true of other DevOps/OpsDev applications. If you are unsure on what to learn this guide may help you – Learn a Programming Language – But which one?

M -Micro Segmentation

Micro Segmentation allows a business to use Networks, Compute and Storage to automate and deliver complex solutions by carving up and using the infrastructure. This segments part of the infrastructures to specific functions/tasks. It can also be used in a security context to segment networks, firewalls, compute and storage to increase security and reduce cyber attacks.  VMware have produced a book “Micro Segmentation for Dummies” that can be downloaded from here.

N – Next Generation

Next Generation refers to the next stage or development to something such as a new release of hardware or software. Next Generation is becoming a common term now to define products and artefacts, an example being Next Generation Firewalls.

O – Open Source

Open Source has been available for a long time with software such a Linux, however there is a bigger shift towards using Open Source and acceptance by businesses. Some examples of Open Source that is now mainstream within business include;

  • Ansible
  • Chef
  • Docker
  • Puppet

P – Performance

Performance can cover people as well as solutions / systems. Performance metrics should be set out at the inception of an engagement then monitored and reported on. This will be a factor in driving Continuous Improvement going forward as well as forecasting / planning for future upgrades and expansion.

Q – Quality

Quality is a huge subject and has a lot if standards governing it and how it affects all aspects of business and architecture. Knowing which standards and how they affect a solution will assist in the whole architecture lifecycle. There are also a number of tools available to help you;

  • Architecture Frameworks
  • ITIL
  • Six Sigma

There is also a level of pride and satisfaction in producing a quality solution and system achieving the objectives and requirements set out by the business.

R- Roadmap

Any architecture/solution should have a roadmap to set out its future. Roadmaps should include items such as:

  • Current state
  • Future state
  • Innovation
  • Upgrades / Releases
  • New Features / Functions
  • End of Life / Replacement

S – SMAC

SMAC stands for Social, Mobile, Analytics, Cloud. SMAC is an acronym that covers the areas and concepts when these four technologies are brought together to drive innovation in business. A good description of SMAC written by a colleague can be found here Acronyms SMAC.

T – Transformation

The majority, if not all systems will undergo a form of transformation. This may be in the form of a simple upgrade or to a complex redesign and migration to something else.

U – UX

UX (User eXperience) affects how people interact with your architecture / design and how they feel about it (emotions and attitudes). With the boom in apps and the nearing Contextual Web Era, UX is one of the most important factors to getting an architecture used. If your users don’t like the system they may find something else to use that they like.

V – Vision

Understanding the vision of your customer and their business is the driving factor for any architecture.

On working with your customer you should look to become a Trusted Advisor and also with your colleagues. A great book on the subject is The Trusted Advisor by David Maister. The book covers 3 main areas which discusses perspectives on trust, the structure of trust building and putting trust to work.

W – WWW

The internet is a key delivery mechanism for systems. Knowing how this works and key components to the internet should be understood such as:

  • IPV4 – IPV6
  • DNS
  • Routing
  • Connectivity
  • Security

X – X86

X86 – is a standard that every knows as its one of the most common platform types available.

Y – Year

Year is for the longevity of the solution you are designing. How many years are your expecting it to last What are the Business Requirements, statutory obligations, depreciation etc that need to be planned in. Consider things like End of Life, Maintenance and Upgrades on hardware and software from a solution point of view.

Z – Zero Defects

The best solution is the one with zero defects, but reaching this goal can be a challenge and can also consume a lot of expense. The best way to ensure Zero Defects is to use:

  • Best Practice
  • Reference Architectures
  • Blueprints/Patterns
  • Checklists
  • Reuse
  • Lessons Learnt

This is my current A to Z and some of the entries may be different in your version so “What is in your A to Z of being an Architect?”

I will look to write some further blog posts on the areas listed in this A to Z

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Think about what you Git on the Hub

29 Wednesday Jul 2015

Posted by Max Hemingway in Development, DevOps/OpsDev, Open Source, Programming

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Coding, Development, DevOps, Open Source, OpsDev, Programming

GithubGitHub is a popular repository for developers and users to leave copies of code and information that can be shared with others in an Open Source manner.

However as a recent article highlights (1 in 600 Top Websites Dangerously Exposed) some of the data stored in GitHub without any security enabled may expose a business to issues and security risks.

There are two types of repos available on GitHub*

Public repositories are a great choice for getting started! They’re visible to any user on GitHub, so you can benefit from a collaborative community.

Private repositories require a little more setup. They’re only available to you, the repository owner, as well as any collaborators you choose to share with. Private repositories are only available for paid accounts.

It is possible to create a Private Repo for several users. This is not a free option, but is however available at a reasonable cost https://github.com/pricing

You can also implement 2FA for your account for additional security – 2FA Documentation

* Source https://help.github.com/articles/create-a-repo/

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The R Consortium

01 Wednesday Jul 2015

Posted by Max Hemingway in Data Science, Open Source, Programming

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Coding, Data Science, Development, Open Source

RThe R Consortium has been founded and recently launched under an Open Source Governance and Foundation model. This is in response to the growing use of R and its communities.

The initial members of the R Consortium include:

  • Microsoft
  • R Studio
  • TIBC Analytics
  • Alteryx
  • Google
  • HP
  • Ketchum Trading LLC
  • Mango Solutions
  • Oracle

The mission statement is listed as:

The central mission of the R Consortium is to work with and provide support to the R Foundation and to the key organizations developing, maintaining, distributing and using R software through the identification, development and implementation of infrastructure projects.

They have also listed a potential number of projects they will be involved with:

  • strengthening the R Forge infrastructure;
  • assisting the Stanford University group running user!R 2016;
  • developing documentation; and
  • encouraging increased communication and collaboration among users and developers of the R language.

One to watch going forward for influencing the R Community.

Source https://www.r-consortium.org

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LiDAR Maps – Open Commercial Use

20 Saturday Jun 2015

Posted by Max Hemingway in Development, Open Source, Tools

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Development, Innovation, Open Source

mapThe UK Environment Agency have been providing free access to their mapping tools for non-commercial means for some time now. This is their LIDAR (Light Detection & Ranging) data. However the non-commercial bit is about to change with the addition of commercial use also becoming free to use in the near future.

The release of data will be through the OGL (Open Government Licence) which itself will see an update in September 2015

The main driver behind this change is to assist with risk modelling and to open up innovation around the environment.

We hope that by removing any cost barriers, our data will improve the quality of flood risk modelling used by businesses and local communities and allow for the development of innovative tools and techniques to further benefit the environment.

Dr Alison Matthew,Geomatics Manager at the Environment Agency

Source: https://environmentagency.blog.gov.uk/2015/06/16/free-mapping-data-will-elevate-flood-risk-knowledge/

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Getting to Grips with Git

08 Monday Jun 2015

Posted by Max Hemingway in Cloud, Data Science, DevOps/OpsDev, Open Source, Programming

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Cloud, Coding, Data Science, DevOps, Open Source, OpsDev, Programming

If you are new to GIT or want to refresh your skills/knowledge a good way of learning is through the Learning Git Branching simulator with it taking you through the commands and techniques.

Welcome to Learn Git Branching

Interested in learning Git? Well you’ve come to the right place! “Learn Git Branching” is the most visual and interactive way to learn Git on the web; you’ll be challenged with exciting levels, given step-by-step demonstrations of powerful features, and maybe even have a bit of fun along the way.

After this dialog you’ll see the variety of levels we have to offer. If you’re a beginner, just go ahead and start with the first. If you already know some Git basics, try some of our later more challenging levels.

The simulator covers:

Introduction SequenceGithub
– Introduction to the majority of Git commands

Ramping Up
– Additional Git commands

Moving Work Around
– Modifying the source tree

A Mixed Bag
– Git techniques tricks and tips

Advanced Topics

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Techdays Online Azure Special

02 Tuesday Jun 2015

Posted by Max Hemingway in Architecture, Big Data, Cloud, DevOps/OpsDev, IoT, Machine Learning

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Architecture, Big Data, Cloud, DevOps, IoT, Machine Learning, Open Source, OpsDev

Microsoft are running a Techdays Online Azure Special over the next 3 days

Registration is at https://info.microsoft.com/UK-Azure-WBNR-FY15-06Jun-Azure-Techdays-2015-Registration.html

  • June 02, 2015 09:00 AM – TechDays Online Azure Special Day One: Keynotes, IOT, Hybrid and Open Source
  • June 03, 2015 09:00 AM – TechDays Online Azure Special Day Two: Apps, Architecture, Big Data and Machine Learning
  • June 04, 2015 09:00 AM – TechDays Online Azure Special Day Three: Cloud Infrastructure and Dev Ops

Hopefully the sessions will be available offline after the event for reference and catch up.

Books

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Open Data Handbook Revised

21 Thursday May 2015

Posted by Max Hemingway in Data Science, IoT, Open Source

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Data Science, IoT, Open Source

openOriginally published in 2012 the “Open Data Handbook” has been revamped to inspire Open Data Newcomers.

The new version of the online site allows access to:

  • The Open Data Book
  • Value Stories
  • Resource Library

For those who have not yet been introduced to the Open Data Handbook, the below is a good overview of what its about.

This handbook discusses the legal, social and technical aspects of open data. It can be used by anyone but is especially designed for those seeking to open up data. It discusses the why, what and how of open data – why to go open, what open is, and the how to ‘open’ data.

There are already a lot of “Open” sources of such as Open Source Web Crawlers and Data Sets, which is set to grow in the wake of the Internet of Things (IoT) and other data creation solutions.

The Handbook/Guide provides a good place to start if you are considering making your data Open, however the data created will also be a huge revenue generator for companies who produce the IoT devices.  The amount of data that will made Open remains to be seen more things come online

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Open Source, Open Human, Open Data, Open Sesame!

30 Monday Mar 2015

Posted by Max Hemingway in IoT, Open Source, Wearable Tech

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Cloud, Data, IoT, Open Source, Wearable Tech

Opeopenn Source is a term that is now common place  meaning access to the inner workings of a thing to allow a wider community of people to help develop and take it forward. A good example of this is in software. The Internet is full of Open Source Software projects that people are developing and collaborating on, sharing data.

A project by the Personal Genome Project is now looking to take the idea of Open Source to the next level with Open Humans. The project is looking for volunteers to Open Source themselves and publicly share data about their health to further science and medical fields. The project does state though that you can choose what data you share.

Open Data is a term relating to data that can be shared openly and freely. An example of this are the data sets freely available by governments such as Data.gov and Data.gov.uk.

By 2020 it is predicted that with a world population of 7.6 billion, there will be 50 billion connected devices. That’s 6.58 connected devices per person. Some people have that now with phones, tablets, wrist devices, glasses etc. Each device capable of producing a lot of data on usage, actions, etc. How much of this data will be private vs open is yet to be determined and the ability to opt in and out need to be clearer for people to understand.

A report in todays BBC News claims that yet more personal data is being sold illegally. This time pensions data (Pension data ‘sales’ investigated by watchdog) . However as we take more steps towards the IoT (Internet of Things) are we able to keep track of our data and how it is used or are we heading towards an Open Sesame bonanza of data treasure being opened, taken and sold on.

Open Sesame is a magical phrase used by Ali Baba to access a secret cave of treasure. In this case the treasure is data!

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Open Source for DevOps Practices in a Microsoft Environment

14 Wednesday Jan 2015

Posted by Max Hemingway in DevOps/OpsDev, Open Source

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Development, DevOps, learning, Open Source, OpsDev

Microsoft have just released the slides and training for Open Source for DevOps Practices via the Microsoft Virtual Academy.

The training covers 4 sessions and uses some Microsoft Tools/Services in the demonstrations/training:

  • What DevOps Means Here; Common DevOps Practices and Supporting Open Source Tooling
  • Version Control as a Communication Tool; Issue Trackers as a Coordination Tool
  • Shareable Development, Test and Deployment Environments and Automated Staging
  • Automated Testing, Whats Next?

The sessions cover the following topics:

  • DevOps Overview
  • Azure Basics + Process Tools
  • Source Code Repos + Communication
  • Reproducible Environments
  • Automated Testing
  • Deployment & Configuration Management
  • Release Management
  • Monitor + Learn

Each session is between an 1 hour and 1 hour 20 mins. Followed by a recommended next steps section at the end.

These are good sessions and demo’s if you want to integrate typical Open Source DevOps products into a Microsoft based estate. The videos and demo’s cover:

  • Azure
  • Docker
  • Vagrant
  • Packer
  • Gradle
  • Grunt
  • Salt
  • Hudson
  • Puppet
  • Chef
  • Jenkins
  • Nagios
  • Zabbix

Source: http://www.microsoftvirtualacademy.com/training-courses/open-source-for-devops-practices

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