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Home Archives for multicloud
HPE have a new angle on managing today’s Hybrid Multicloud World

October 25, 2019 By David Terrar

HPE have a new angle on managing today’s Hybrid Multicloud World

Everyone’s talking digital transformation in today’s volatile, uncertain. complex and ambiguous business landscape.   We all want our organisations to keep relevant, reinvent themselves and avoid going the way of a Thomas Cook or a Kodak.  To support the transformational change that’s required enterprises have been talking app modernisation for a while, and moving business processes to the Cloud, sometimes “as is” and sometimes by redeveloping them from scratch.  Today, both in terms of cost and agility, using Cloud technology for new developments is a given, but for most organisations there is no one right Cloud.  We live in a Hybrid Cloud World whether we like it or not.  Depending on the size of your organisation, from medium to large, according to the Rightscale State of the Cloud survey, you might be dealing with 5 different Clouds, along with the business critical systems you are, most likely, still running in your data centre.  Even a born in the Cloud start up usually has more than just one Cloud/SaaS platform to drive their business.  There is no single Cloud platform that has all the answers, and the three major Public Cloud providers are adding features and functions to their platforms continuously.  How do we manage that Multicloud challenge?  There is no one answer to that either, but a few days ago I heard HPE’s new angle on looking at the problem from the data layer, which ought to be the starting point for thinking about business solutions in any case.  

The ingredients of their solution, in my mind, involve a combination of data abstraction and 3 Cs – Cloud, Containers and Choice.  Let me explain their product and what I mean in a little more detail.

HPE Cloud Volumes

HPE explained their new Cloud Volumes series of data and management services at a workshop run by Nick Dyer, their Field CTO for Nimble and Intelligent Storage, and Tony Stranack, their EMEA Head of Information and Data Strategies.  The problems they are trying to address are common across the Multicloud enterprise. They want to allow portability between the various Public Cloud options and/or on premises hardware so customers can choose the right tool for the job both now, and over time as platforms, circumstances and costs change.  They want to provide those services with enterprise grade resilience and availability.  They want to make the data repository itself easy to manage and in a unified way across the options.  Above all they want to give customers choice and flexibility, whether you are working on existing mission critical apps, or developing new apps with an agile and DevOps mode of develop and deployment.    

Nick asked the question “where is the right place for my data” and then went on to explain that data always has “gravity”.  By that he means that data is bound by the constraints of where and how it was created, and how it is being stored.  Depending on that context, there are various factors “pulling” at that data if and when you want to move it and use it.  

Ingress and Egress  

The biggest pull is Ingress and Egress, now a normal part of our cloud terminology, but why don’t we just say in and out?  Putting my quibble about words aside, we are talking about the costs of getting your data in to and out of the major Cloud provider’s platforms.  For Microsoft Azure, Amazon Web Services and Google Cloud Platform moving your data in to their platform doesn’t cost a thing.  Of course, they charge you for the storage you use, and they hope you stay a long time, but then they charge you when you want to move that data out of their platform, back on premise or to some other destination.  The costs can be significant.

Data Abstraction

With the Cloud Volumes service your data is held in a single repository that is logically connected to your on-premise compute, or to any of the 3 Public Cloud Services.  This brings significant benefits in both time and cost.  Because the data isn’t being physically moved, there are no egress charges and no elapsed time for the data to move.  This gives you all the flexibility and portability between platforms that you need, with the advantage that HPE only bills you for exactly the amount of storage and management services you consume.  

Enterprise Grade Availability

You need enterprise grade security, resilience and availability.  The service uses HPE’s Nimble storage, designed for low latency with 256-bit AES encryption and 99.9999% availability.  

Potential Solutions

The key benefits the approach drives are choice and flexibility.  Cloud Volumes allows you to move workloads and data from on-premises to any cloud (and back) simply and efficiently, helping you avoid being locked in to the first Public Cloud you chose.  It allows you to develop natively in Cloud and deploy on-premises or vice versa.  You could run production on-premises but apply AI and analytics logic in the Cloud adding the ability to scale capacity up and down as necessary.  The service allows you to run multiple instances across several Clouds and on-premises simultaneously.  You could run production on-premises but recover in the Cloud.  It allows you to spin up a new instance to try something in seconds.  

Data Management

Cloud Volumes allows choice on management of the data service too, as well as providing a consistent approach across Cloud and on-premises.  You can use their portal, a Software as a Service based data management approach, as well as command line or cloud first APIs.  The service embraces Docker and Kubernetes to support the kind of Continuous Integration, Continuous Delivery approach to allow you to release more, faster and better – to develop once and deploy anywhere.  

Underpinning the service is HPE’s InfoSight.  This is an AI based tool that analyses and correlates millions of sensors from all of their globally deployed systems.  It constantly watches over your particular environment but has learned from managing the entire HPE customer hardware estate to predict problems.  If it uncovers an issue, it resolves the issue and prevents other systems from experiencing the same problem.  It continuously learns so it gets better and more reliable over time.  It takes the guesswork out of managing infrastructure and simplifies planning by accurately predicting capacity, performance, and bandwidth needs.  Pretty smart. 

Conclusion

Cloud Volumes provides a new angle on the Multicloud management problem that every enterprise faces.  By separating out the data it addresses a key cost and time issue as you are moving your data between platforms logically, not physically.  It simplifies the options for developing new cloud first apps, dealing with mission critical systems, disaster recovery, fail over and more.  It’s a set of tools that helps you choose the right Cloud, use a modern containerised approach, and allow you to change your Cloud or on-premises choice as the cost equation or other factors change.  From what I saw at the workshop it’s well worth exploring, and we hear there will be more announcements around the service coming very soon.  

Check back here once we’ve had that briefing, or contact me if you want more detailed advice now.  

Views from my colleagues who also attended the Cloud Volumes workshop:

  • Richard Arnold’s take
  • Bill Mew interviewed Nick Dyer
  • Ian Moyse thoughts TBA

Hewlett Packard Enterprise is a customer and includes me in their global influencer programme. 

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Filed Under: cloud, Enterprise Cloud Tagged With: AI, analyitcs, app modernization, DevOps, hybrid cloud, InfoSight, multicloud, on premises, private cloud, public cloud, vendor lock in

Breaking Down Silos in your Business

October 7, 2019 By David Terrar

Breaking Down Silos in your Business

Every organisation in every sector is dealing with digital disruption in today’s volatile, fast changing and uncertain world.  Businesses need to transform to stay competitive or be in danger of going the way of once great brands like Nokia, Blockbuster or Kodak who saw the writing on the wall but didn’t act fast enough to adapt.  Too often digital transformation efforts fail with a regular cause being the organisation seeing the task as a project with a beginning and an end.  Those organisations leading in this era of disruption recognise that transformation needs to be continuous and businesses need to think of being in a permanent state of reinvention.  But often, the key barrier to change is the siloed nature of most organisations.  In today’s connected world, that needs to change, and we believe the way to solve the problem combines different thinking in terms of people, culture and architecture, as well as a new approach to systems integration, making use of the API Economy.

There is plenty of research exploring how business has evolved over the 19th and 20th centuries.  The various parts of a typical organisation often fail to work together with a shared sense of mission.   We would argue that the structural issue of divisions is a natural result of the command and control and hierarchical management approach of most, and particularly larger, organisations.  Most large companies have divisions, or even groups and functions within divisions, that operate in silos.  Even the word “division” itself highlights the problem.  People are, by their nature, territorial.  Those functional teams that grew with an objective of efficiency and process simplification in the beginning, have created issues around territory and mistrust that can derail the cross functional thinking and new ideas that are required in the 21st century of the Fourth Industrial Revolution.

In looking at the people and culture issues we are guided by Professor Vlatka Hlupic and the research behind her book The Management Shift.  She has investigated companies who have been tackling these big shifts over a number of years.  She references more than 20 companies using her approach and leadership model.  They are from small to large, in various sectors and include a FTSE 100 Company.  She has categorised their management styles in 5 stages or levels from Traditional to Emergent.  The traditional companies haven’t moved beyond command and control and silos.  The smart, successful companies have an emergent management style characterised by an unlimited mindset, strong team cohesion, unbounded culture, inspirational leaders, a strong sense of purpose, and a passion for the work.  These are the characteristics we need in our 21st century leaders and managers to break down barriers, encourage cross functional teams and foster the right mindset for collaboration rather than conflict.

We also think that the silo problem is a manifestation of Conway’s Law where organsations are constrained to design systems which are copies of the communication structures of that organisation.  We need to be thinking, communicating and doing things differently.

Given the ubiquity of IT in the way enterprises are organising their business, one cannot tackle breaking down silos in an organisation without addressing it at a technology level as well as people level.  Data silos are  the result of cultural, organisational and technical choices that were made long ago, either for strategic reasons or because of technical limitations. They reduce productivity, they make it difficult to have a global view of your business, and they make it difficult to leverage the new technology available today.

Over the past 10 years, the start-ups who managed to create new business models managed to do it because they leveraged the new technology available to them and did not have the legacy to deal with.  They could build everything from the ground up, at a speed unheard of before.  15 years ago, no organisation would have had the resources to develop geo-localisation, mobile apps, mobile payment, booking system, and scale as Uber did in such a short amount of time.  Equally they had no organisational barriers to deal with. They were purpose built and organised from the ground up. They had an idea and leveraged the cloud to pick and choose what functionality they needed to make this idea reality.

In order to stay current, to re-invent themselves and stay relevant to their ever more demanding clients, enterprises need to be agile and break down the silos that they built over the years. To achieve this, they need to be able to develop applications extremely rapidly, matching what the business needs, and ready to iterate to deliver fast.  However today, it is still considered that 50% of these projects fail because of integration issues.

Historically, integration teams have always been very centralised, being themselves one of the silos they should be contributing to break with integration technology. We are used to refer to the SOA team, or the ESB team. Integration was not something a developer would do on an ad-hoc basis, it was a full-time job, needing deep expertise in integration tools. This became very acute when the service-oriented architecture was put in place. It forced the creation of a centralised team to create the service layer that had to be used by the developers to developer their applications. The problem is that the integration team did not understand the application their services were created for and it created friction and finally slowed down the pace of developing new applications. It was clear that the best approach would have been to let the application team own the creation of the integration services, but technology did not allow that.

Over the past few years, new techniques have allowed us to re-think the way we tackle integration.  Let’s take a quick look at some new concepts and how they help moving towards a decentralized integration team.

Fine Grained Integration & Microservices

Breaking up your enterprise wide deployed integration hub into right sized containers provides improved agility, scalability, and resilience.  Agility, because many teams can work on integrations without having to defer to a centralised integration team. Scalability, because individual flows can be scaled on their own.  Resilience, because isolated flows cannot steal shared resources such as CPU from one to another.

Microservices are a software development technique that allows you to decompose an application into smaller de-coupled services. They provide greater agility because they can be changed independently from one to another, they are scalable because we can tie their usage with the resources they need, and they provide better overall application resilience because they are independent from one to another.

As we have seen, fine grained integration architecture and Microservices are providing similar advantages, and once brought together they bring the developers the environment they need to be fast, to be independent and to be able to concentrate on their part of the application.

APIs

API solutions have come a long way and today provide the tooling to be offered and consumed easily. They provide tools to be easily discoverable, they allow the provider to secure them and control the on-boarding of users.  They provide analytics so you can monitor them and control their usage, they can be promoted to third parties and they now can also be monetised.  The API economy is here, and the companies adopting the approach are more successful – research shows it adds more than 10% to the firm’s market value.

APIs therefore provide a very simple way for the provider to “offer” access to its data, and to the consumer to get to the service he or she needs. Based on a modern integration architecture, they are the key to unlock the data new technologies need to deliver on their premise. AI is only as good as the data it can be trained on. Innovative mobile application are only worth it if they allow the end user accessing and manipulating meaningful data.

The combination of Microservices consuming APIs to get to integration points can give an organisation great prospects in terms to speed and agility to respond to changing business needs.

People

We have seen that technology can change the way integration teams are organised, and give more autonomy to application developers.  But technology should also provide non-technical teams access to data. Take the example of the HR department that decided to subscribe to a Workday SaaS service. It is likely they did this without involving IT much – remember shadow IT – (at least during the choice of the solution). They did this because they wanted access to that application simply, without having to wait for a long IT development cycle, and were ready to adapt to get to the functionality. Now the HR department is using Workday and they need to access some specific information and want to receive an email alert when there is a specific change. For them, for simple integration requests like this, reverting to asking IT is out of the question. Modern integration tools should have “ready to use” connectors allowing them to perform no-code integration tasks.

Of course, technology used to create the silos we are trying to break. Over specialisation created barriers between the business and IT.  Within IT, it created barriers between integration specialists and developers, and it certainly didn’t facilitate communication between an enterprise and the “outside” world. Today, the need for data to fuel new technologies such as AI, Blockchain and other emerging technologies forces us to break down these barriers. And that’s what new technology and techniques allow us to do. It gives greater autonomy to the developer, it allows business users to be self-sufficient for their simpler needs, with a new level of controlled self-service thanks to APIs and the API Economy.

In summary, for today’s organisation to stay ahead of the competition it needs both a new mindset and a new approach to technology addressing architecture, technology and people. It needs more open leadership that recognises cross functional teams are necessary and better teamwork is required at all levels.  It needs a more agile approach to management as well as technology.  In terms of the technology deployed to support transformation, it needs to recognise that integration is the key driver, and the creation of APIs to open up company data reduces friction, drives new business models and creates new revenue opportunities.

Contact us if you want to find out more about making integration and APIs work for your business.

This post is a collaboration co-authored by Emmanuel Treny, Director Sales Europe – IBM Cloud Integration and David Terrar, Founder & CXO of Agile Elephant.

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Filed Under: cloud, integration Tagged With: agile development, agile thinking, API, API Economy, app modernisation, breaking down silos, microservices, multicloud

Every cloud has a shadow hiding!

July 25, 2019 By David Terrar

Every cloud has a shadow hiding!

Apologies for the play on words – couldn’t resist it!

This is our third blog, continuing the series of “where we’re going we don’t need roads” #dontneedroads, and for those of you wanting the throwback link how about Cliff Richard and the Shadows (cue Apache or Summer Holiday for those of a certain age!)

So buckle up as we get the De Lorean started for a Shadow IT blog. But hey! I hear you say, isn’t cloud supposed to have removed shadow IT? Well yes and no!

First there was on premise shadow IT, servers under desks, discretely hidden in broom cupboards far away from the IT department and in some cases serving business critical applications and services.

Then came along cloud, public cloud, we retain some on premise for regulatory or security reasons so we move/morph to hybrid cloud. Shadow IT gone? No!

Now we have the opportunity to have hybrid/multicloud shadow IT care of a smart device and a credit card, and the IT department have no idea of what’s happening!

So why is shadow IT still so prolific in organisations? I believe it’s down to several factors:

  1. Convenience
  2. Speed
  3. Money talks

Let’s have a look at each one in more detail.

  1. Convenience – I want a service or an application, its hosted on a public cloud, all I do is present my credit card details and within a couple of minutes boom! Got my service and good to go, I have flexible consumption models and no need to worry about availability, performance, security etc because my cloud provider does all that! (or do they?)
  2. Speed – very similar to convenience but a direct pointy finger at the IT department, jeez you guys are slow, I want this and I want it now (see above!) I haven’t time for forms, I can’t wait for the long winded process you guys have, I want it now!
  3. Money talks – that credit card in paragraph 1, well it’s just not credit cards, various studies show that although the IT department have a greater say at the beginning of a project/request by the end the business has the biggest say as they hold the purse strings. If a line of business executive has a budget then why bother with those IT guys, let’s just go out and buy what we need.

So with cloud based whatever you want as a service, for example SaaS (software as a service) the poor old IT department is well and truly in the dark, and there are more dark forces coming into play.

As an IT Service Management consultant in previous roles, Shadow IT has been the bane of my life – why? Where do you want to start?

Security, change and configuration management, data integrity, business resiliency, regulatory compliance I could go on but these are crucial aspects of keeping the business running regardless of which cloud or infrastructure you’re using, and Shadow IT bypasses most of these and more that are mentioned above.

So what’s the compromise – if any? Well how about:

  1. A more responsive, faster, seamless change process, one which the user/requester can initiate, track and control? Today most new or updated service requests can be automated to the point of a button is pressed and voila! This is really the easiest way of combatting shadow IT as most organisations have it in place in one form or another.
  2. A centralised, policy driven security and governance process, that the users are part of, it has worked for BYOD (bring your own device) so why shouldn’t it work for hybrid/multicloud?
  3. Business and IT work together – yes together! How? Well compromise might be a good starting point but how about choice!

Let’s go a bit deeper into choice, with all the open source solutions available today many organisations are building or buying a platform. These platforms are part of their journey to cloud. This journey is more than likely a hybrid journey and probably involves multiple clouds and cloud providers, we now have a hybrid multicloud environment, ideal for Shadow IT!

However these platforms can provide choice across multiple disciplines – cloud native application development, continuous integration and continuous delivery (CI/CD), a choice of runtimes, different deployment options and more! Great choices that can nullify Shadow IT.

By providing a centralised policy driven governance/security posture which encompasses all of the business (on premise or on public cloud) business can be reassured that brand damage, data loss etc are prevented but their choices remain.

IBM has recognised that most businesses are in, or moving towards a hybrid multicloud world, and recently released their, Multi Cloud Management solution which provides Visibility, Governance and Automation across this new world. Business and IT can collaborate on what runs where, who can access it, which cloud/infrastructure it can run on.

This provides the speed that business needs but with the guard rails that ensures IT has control thereby reducing the need for Shadow IT!

See a happy ending! So all your clouds can have a silver lining instead of a shadow hiding!

The “Where we’re going, we don’t need roads” series of posts to help reframe how you think about what’s next in enterprise technology is co-authored by Dave Metcalfe of IBM and David Terrar of Agile Elephant.

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Filed Under: cloud, dontneedroads, Enterprise Cloud Tagged With: #donteneedroads, Dave Metcalfe, hybridcloud, multicloud, Shadow IT

Where we’re going, we don’t need roads!

May 31, 2019 By David Terrar

Where we’re going, we don’t need roads!

There is a Danish saying you may have heard that “it’s difficult to make predictions, especially about the future”.  That’s never been truer than in today’s challenging business landscape.  The rate of change is increasing exponentially.  New technologies, new ways of working and new business models are emerging.  How do you make sense of it all and set your strategy?  This is the first of a sequence of posts to help you reframe how you think about what’s next in enterprise technology, and how it can create value for your business.  

Back to the Future

© Universal Studios.

Let’s start by going back to a simpler time and reference the iconic 1985 science fiction movie “Back to the Future”.  You’ll remember (or have been told by your parents) that the movie’s time machine is made from a converted De Lorean car that needs to get up to 88 mph to jump in time. You can click here to read about the modifications made in this car that makes it look special from others. For most of the story they jump back 30 years to 1955.  Then, in the coda to the movie Doc Brown comes back to take Marty McFly and his girlfriend Jenifer 30 years in to the future to 2015.  When Marty says they haven’t got room to get to 88, Doc says “where we’re going, we don’t need roads” and the De Lorean promptly takes off and flies to get up to speed.  That phrase was even good enough for President Ronald Reagan to use it about the future in his 1986 State of the Union address.  We’ve decided to use it for our collection of articles offering you a map of where you should be heading.  We’ll even be using the hashtag #dontneedroads when we share them on social media.  

Now that movie demonstrates part of the problem with trying to be a futurist.   Some things develop much slower than you might expect, but others start to happen much faster.  We don’t have many flying cars on our roads in 2019, but they do exist.  You just have to look at the several different makes of autonomous drone copter taxis being tested in Dubai to see that they might finally happen soon.  What has happened faster is the explosion of global connectivity, data and very personal computing in the palms of our hands, that hardly anyone was predicting from the vantage of 1985, except on Star Trek and then centuries in the future.  With today’s rate of change making predictions even 5 years out is incredibly difficult, but the planners, strategists and every level in our organisations need to be thinking in terms of rapid change and continuous improvement to survive.  

Learn from the past

To think about the future, it’s always valuable to look back at what has worked in the past and why. We’d like to pick out a couple of scenarios.  First, the expansion and consolidation of the Roman Empire.  The cornerstone of the expansion, from about 300 BC onwards was their road system, remnants of which we still see today thousands of years later.  They applied new technology to create a network of high quality, long distance highways and local roads that were vital for communication, for the movement and resupply of their armies as they expanded their territories, and then to support the populations they had conquered with trade routes.  It was so successful that it supported the growing empire for the next 800 years.

The next is Genghis Khan, founder and first Great Khan of the Mongol Empire in the 12th and 13th century, who Dave Metcalfe has written about before.  He was known for his brutality, but also practiced meritocracy and encouraged religious tolerance.  One of the fundamental tools he put in place for managing the empire was the Yam riders and their way stations.  They created a chain of relay stations, usually around 20 miles to 40 miles apart. A messenger would arrive at a station and give his information to another messenger, and meanwhile they and their horse would rest and let the other messenger go on to the next station.  A communication system that both underpinned the empire, and incidentally brought the Silk Road under one cohesive political environment.  

The common threads here are the importance of networks and connectivity to moving information, and that intelligence is what supports the expansion of power, trade and globalisation.  In today’s environment instead of roads and horses and the written word, it’s silicon, optical fibre, radio waves, and bits and bytes of data supporting our new expansion.  It’s exciting!  In the 21st century the fabric of computing has never been more distributed and more ubiquitous.  

Where we’re going, we don’t need roads

The challenge for our organisations is that they don’t have to have been around for very long before they’ve become quite complex and grown a collection of applications and systems sitting on a multitude of technologies from the edge to the cloud to the data centre.  We’ll be talking more about the Edge very soon.  But even for a mid-sized business, and certainly for a larger Enterprise, the transformation they need to face is like trying to reimagine the London Underground at the same time as keeping the trains running.  

That conundrum is what we’ll be talking about in the “Where we’re going, we don’t need roads” series.  With computing becoming ubiquitous, it means that every business (and individual) is generating large amounts of data.  To make sense of that data you need a different approach than the business intelligence and processes of the past.  That’s where Artificial Intelligence comes in.  With access to processing power in the right place, and data stored in the right way, we can apply AIs and Robotic Process Automation and machine learning, and all of the other techniques and algorithms in to an app that can give you the predictive and analytic power to automate things.  In this next phase every business needs to think about AI and automation.  

What’s next?

In our posts we will be talking about enterprise cloud technology and managing multiple clouds.   We’ll explain our framework approach to managing technology summarised as discover, transform and operate.  We’ll bring in more military thinking and talk about the breakdown of command and control to asymmetric warfare and how that applies to business. We’ll tell more stories about the rate of change of technology, and the need to think in terms of permanent reinvention of your business, but at its heart our job as technologists is to help you get more out of your data. 

So please check Twitter and LinkedIn and the IBM Blog for more content on the #dontneedroads topic, as well as more articles on cloud and business transformation here.

The “Where we’re going, we don’t need roads” series of posts to help reframe how you think about what’s next in enterprise technology is co-authored by Dave Metcalfe of IBM and David Terrar of Agile Elephant.

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Filed Under: dontneedroads, Enterprise Cloud, future Tagged With: cloud, digital transformation, hybridcloud, multicloud, mutable business

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