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Knowledge Management

Knowledge Management provides value to all stages of the service lifecycle by providing secure accurate and up to date knowledge, information and data that is needed to manage and deliver services. Knowledge Management is particularly important within Service Transition since current and applicable knowledge is one of the key service elements being transitioned.  Effective Knowledge Management is a powerful tool for people in all roles across all stages of the service lifecycle. It is a best practice method for individuals and teams to share data, information and knowledge about all components of an IT service. Having the right information in the right place at the right time will enhance all stake holder’s ability to make informed decisions based on the most current knowledge about their environments. Successful management of data, information and knowledge will enable the service provider staff to have a clear understanding of who uses the services, how they use those servic

You Can’t Automate Chaos

In a recent DevOps Foundation Certification class one IT executive said “You can not automate Chaos”! Another learner spoke up and said “Yes you can… that is what we are doing”!   Although that was meant as a LOL moment, it is true that when it comes to velocity and improving cadence all too often service providers jump the gun and look at automation as the silver bullet.  While recognizing that tools, technology and automation are key elements, process and governance must also be considered. Automating before we get management control of these is likely to lead to bigger and faster CHAOS! Executive buy in and support is rewarded when the business and IT are integrated to the point that IT alignment with the business is a given.  Properly designed and well governed process will enable any automation initiative.  Remember we are talking about “Just enough process” and “Just enough governance”.  If your process is the roadblock then you might have created exactly what you are t

Your Comfort Zone is NOT Comfortable

We have all heard mantras and messages like “If it’s not broke, don’t fix it”. Some might still cling to values like “We have always done it that way” but great leaders in contrast will see a different vision and say “There is a better way to do this”. IT service providers in today’s industry need to get uncomfortable. This is especially true for executive management. Some of the best leaders in the world make it their business to experiment, get creative and challenge the status quo. Whether your needs and interests correspond with the early stages of innovation, like education and professional enhancement, or at a later stage like funding and business development, Innovation is key and cannot be propagated by cynics whose horizons are limited by the obvious realities. So how do we manage the naysayers? Successful DevOps, Agile, ITIL and ITSM all require cultural change. One thing we can all agree on: Change is Hard. However, with the right knowledge your team can be

The Year of Shattering Silos

This is the year to shatter the silos.  Consider any best practice, method or standard that you have or are thinking of implementing.   In any DevOps, ITSM, ISO or Lean initiative the biggest challenge that any CIO or organization as a whole will have to address is how to meet the rate of demand and the dynamic business requirements.  Dynamic business requirements are a norm not an exception and the service provider will need to ensure fluidity throughout the value stream.  Shattering Silo’s will be a prerequisite to achieving end-to-end workflow and agility.  Functional Silos When talking about silos most practitioners immediately think of integrating departments or functional teams.  One of the more obvious silos to address here is the division between development and operational teams (DevOps).  While there is a lot of buzz in the industry on how to bridge that great divide, the real chasm that hinders efficiency and optimization is that between the business and IT.  Bus

The Great Divide

Historically there has been a divide between the Systems Administration (Operation folks) and Software development (Application folks). This divide often results in services being released that only partially meet customer/business requirements and leaves the organization with the perception that operations is often inefficient and ineffective. This riff is not of our own making. In the past it has been caused by a combination of conflicting goals, objectives, processes, and tooling.  Development-centric people tend to believe that change is good. As a matter of fact it’s the thing that they are paid to realize. The business depends on them to be agile to the changing business environment. Because of this correlation, they are often rewarded to create as much change as they can and do it as quickly as possible. Operational people on the other hand, have institutionalized the belief that change is the nemesis of who they are. The business depends on them to keep the lights

Your Process Is Either Improving or Deteriorating

Do you ever notice you can hear things over and over and then there is that one moment where a comment or phrase all of a sudden shouts at you with real meaning and significance? I’d like to share one of those aha moments with you. I recently took a class called Certified Agile Process Owner (CAPO). During that class the instructor, Donna Knapp responded to a learner and said …  “Remember that your process is either improving or it is deteriorating”.  For some reason while thinking about that from an Agile Service Management perspective I thought REALLY?! That is so very true. If we think about it, by the time we define, deploy and utilize any set of process activities the objectives could change, the technology used certainly has changed and the overall requirements for any one of those process activities or procedures could have changed. Today we all know that business requirements are dynamic. All the more reason for taking an iterative approach to process design. For

The 5 Principles of Lean Thinking

Value Lean starts with a defining value precisely from the perspective of the customer in the relationship to the features and characteristics of the organization’s product (goods or services) and other critical attributes. Value Stream A value stream contains all of the activities required to create customer value for a service product or family of products. This would include all of the processes needed from designing the product, building, testing, releasing and deploying it into the live environment, being able to support the use of the product by your customer and finally being able to improve it to meet the customers changing requirements over the lifetime of the product. Lean organizations wisely distinguish their value streams and arrange their operations to maximize the value created for the customer and minimize the waste in these processes. Flow and Pull Make the remaining value–creating steps flow. Lean organizations will seek to maximize the flow of materials, resource

Value Elements

When discussing the elements of value creation through the delivery of services we always talk about customer preferences, perceptions and the business outcomes they generate.  We also throw in the elements of utility and warranty.  These are all critical in ensuring our ability to create value for our customers and capture value for ourselves as service providers. The service relationship between service providers and their customers revolves around the use of and interaction of assets.   Assets are made up of both resources and capabilities and are provided by both the service provider and the customer.  These are critical value elements in the creation of usable, customer aligned services. Many of our customers utilize our services in conjunction with their own assets to then build and deliver services or products our customers then deliver to their customers. We, as the service provider, consider these customer assets.  Without these there would be no basis for defining th

Continuous Delivery

Continuous Delivery is a software development practice where software is always in a releasable state.   Teams produce software in short cycles, ensuring that the software can be reliably released at any time.  By relying on automated testing and deployment, as well as ensuring collaboration and communication between development and operational teams (DevOps), the goal of building, testing, and releasing software faster and more frequently can be achieved. This approach can help to reduce the cost, time and risk of delivering changes by allowing for more incremental updates to applications and configuration items (CIs) into production.  A straightforward and repeatable deployment process is important for continuous delivery and will be critical for operational processes such as Change Management and Release and Deployment Management to be agile and robust in the DevOps environments where continuous delivery will be part of best practices.   Continuous Delivery is sometimes co

Desktop as a Service

In today’s world of DevOps, development, deployment, operations and support are being done at lightning speed compared to methodologies employed just several years ago. With the implementation of “Infrastructure as Code” (IAC), a type of IT infrastructure, development and operations teams can automatically manage and provision through code rather than using a manual process.  A part of this movement includes, “Desktop as a Service” (DaaS) which is a cloud service where the back-end of a virtual desktop infrastructure (VDI) is hosted by a cloud service provider. The service is purchased on a subscription basis. In the DaaS delivery model, the service provider manages the back-end responsibilities of data security storage,   backup, and upgrades. DaaS has a   multi-tenancy   architecture which means a single instance of a software application can serve multiple customers at one time. Each customer is called a tenant. Tenants may be given the ability to customize some parts of t

Business and IT Strategy – 2016

As the New Year begins, most IT service providers already have their IT strategy in place.   A few decades ago we heard loud and clear… “You must align IT with the business”.  Then we heard in the next decade…  IT...”You must align with the business”.  Notice the focus was on what “IT” must do.  I believe that most IT organizations get that.  The real question when considering a strategy is how this can be achieved.  Or is it?   I hope that moving forward the new mantra will be “Hello business”… “You must engage IT in order to ensure success.”  If the strategy does not include how the business is going to consistently engage, plan and strategize with the IT organization it is possible that the business strategy will not ensure the type of success that is hoped for and could continue to miss the mark. A recent BizReport article by Kristina Knight states; "During 2016, the perception that developers are basement-dwelling, socially-awkward techies with no grasp on business

The Goals and Objectives of Agile Service Management

Part of the role of the Certified Agile Service Manager (CASM) is to ensure that ITSM processes engage and reflect agile values and that they are appropriately designed with “just enough” control and structure in order to effectively and efficiently deliver services that facilitate customer outcomes when and how they are needed. The goals and objectives of Agile Service Management include: Ensuring that agile values and principles are embedded into every service management process from design through implementation and continual improvement. Improving IT’s ability to meet customer requirements faster.  This includes process and process integration, capabilities, knowledge transfer and the use of appropriate technologies for automation. Being effective and efficient (lean).  It also means ensuring that we don’t bias too far in one direction.  I can be very effective but not efficient. On the other hand I can become too efficient but impact my effectiveness.  Either of these s

DevOps Patterns

In his recent blog ‘ Devops Areas - Codifying devops practices ’ Patrick Debois explains that DevOps activities typically fall into four patterns or areas.   DevOps activities typically fall into four patterns or areas. In each of these areas best practice dictates that there will be a bi-directional interaction between Dev and Ops, which will result in a fluid knowledge exchange and feedback from each of the major stakeholders, including Development, Test, Product Management and IT Operations.   In the 1st area we extend delivery to production. This is where Dev and Ops will collaborate to improve anything on delivering a project to production by creating or extending the continuous integration, deployment and release processes from Dev into Ops. Activities here include making sure environments are available to Dev as early as possible. That Dev & Ops build the code and environments at the same time. Create a common Dev and production environment process while ensuri