Tag: Assessments

  • Assessment of DevOps Capabilities: 5 Dimensions Explained

    Assessment of DevOps Capabilities: 5 Dimensions Explained

    In order for organizations and teams to move toward DevOps maturity, they need to understand their DevOps capabilities. An Assessment of DevOps Capabilities determines a baseline DevOps state, measures and accelerates continuous improvement.

    When we designed our Assessment of DevOps Capabilities (ADOC), the ambassador cohort brought a ton of ideas to the table around the high-level topics based on their experience performing this work for years. We talked about how important it was to cover the three aspects we have classically referred to in our industry; people over process over tools and many referred to the CALMS (culture, automation, lean, measurement and sharing) model widely known in the DevOps world and originally coined by Willis, Edwards and Humble.

    Our chief of research, Eveline Oehrlich, who led the 40-strong ambassador cohort who crowdsourced the model along with myself, had been conducting research for our Upskilling Report for several years. We looked at the models she’d been using there to drive comprehensive coverage of the different dimensions of DevOps. They aligned with the other models we were considering, resonated with the team and we all agreed that they gave us the best chance of ensuring the organizations that would use the assessment considered all the elements of these complex and sophisticated ways of working we call DevOps.

    The 5 Dimensions of the Assessment of DevOps Capabilities (ADOC)

    1. Human aspects
    2. Process and frameworks
    3. Functional composition
    4. Intelligent automation
    5. Technology ecosystem

    Our next job was to define the topics in each dimension and then to define Likert statements for each of the topics. These statements allow for data to be collected that provides teams with insights into where their capabilities are strong and should be shared, and where we recommend they experiment with improvements. Let’s look at each dimension in more detail:

    1. Human Aspects Dimension

    At DevOps Institute, we’re all about the human aspects. We know that culture is the biggest challenge for most organizations on a DevOps journey. Helping individuals and teams to understand and change behavior is a core purpose of ours.

    In this dimension, we address psychological safety and a culture of trust. We explore how leadership behaves, using transformational leadership as a model. We ask questions that explore how the team feels the organization is performing in terms of alignment, accountability, autonomy, empowerment and if and how they feel supported. We look at dynamic learning and constructive collaboration.

    Some topics focus on The Three Ways; we consider flow through the lens of customer focus and value stream thinking. We ask about how feedback is generated, received and reviewed in retrospectives. We explore how innovation and experimentation happens. There are some statements that help the teams learn about organizational design and team topologies. And we also include happiness and joy at work, and diversity and inclusion topics.

    2. Process and Frameworks Dimension

    Many years ago, I borrowed our esteemed leader Jayne’s phrase, “DevOps is the happy, polygamous marriage of ITSM, lean and agile.” Naturally, these frameworks are in this dimension – specifically, how they connect with DevOps activities.

    We also look at how the teams are experiencing scaling their activities and whether it’s working for them. We want teams to understand how to achieve high performance in continuous compliance, so we help them explore how they incorporate governance, risk and compliance (GRC) in all that they do.

    We take another look at value stream ways of working from a process perspective, and how well teams are transitioning from project to product. We look at a couple of frameworks very closely related to DevOps; site reliability engineering (SRE) and DevSecOps.

    We explore how the teams are leveraging systems and design thinking. We gather data on which elements of immersive learning, Holacracy and Humanocracy are helping them achieve their DevOps goals.

    3. Functional Composition Dimension

    In this dimension, we are looking at all the steps from ideation to value realization.

    We start with looking at how the teams collaborate and then where and how ideas are conceived, nurtured and refined through portfolio, backlog and product management and ownership.

    We look at change, whether the teams are using lower-level change advisory/approval board (CAB) patterns, and how far they have progressed towards peer-review. We explore with them how loosely coupled their architecture has transitioned, and how they build, develop and integrate. We ask them to rate their capabilities around test and validation, and deploy and release.

    Other capabilities we explore include operations and support, security, infosec and cybersecurity – helping them understand the patterns that create the safest environments to reduce business risk. We look at data lakes and how they manage data generally; its statefulness has always caused problems with DevOps at speed; for remediation and test data in particular. And we help them understand how to build in reliability and recovery patterns to counteract the risks associated with high-velocity working.

    4. Intelligent Automation Dimension

    This dimension is all about the DevOps toolchain; from artifact management and source control through CI/CD and into live.

    We also look at how tools are used to create a unified backlog, and how service and support happens post-release. We explore environment management and how well the teams are achieving continuous compliance and what this means for customer delight.

    We consider some of the key tool categories that help obtain feedback for improving customer experience; observability and monitoring and tie it all together by exploring how the team is using value stream management to gain visibility, traceability and insights into the end-to-end flow through the DevOps toolchain.

    5. Technology Ecosystem

    Our final dimension is designed to help teams understand how the infrastructure that surrounds their product, service or value stream influences their ability to work better, faster, safer and happier. This means understanding their capabilities for cloud, elasticity, serverless, containers, microservices and APIs.

    They rate their attitude toward open source, and how inner source does or doesn’t help them work better. It requires investigation into how they construct their route-to-live and how they architect the toolchain within these contexts.

    We look at security elements, such as secrets management, and some of the technology concepts that are currently emerging and that promise to drive us further forward; robotic process automation (RPA), blockchain and virtual and augmented reality.

    What to Expect From the Assessment of DevOps Capabilities

    This five-dimensional model allows teams and organizations to assess their current state on their DevOps journey. The data collected allows teams to self-discover improvements and accelerate progress, with the guidance of a qualified ADOC consulting partner. Organizations can compare team capabilities across their enterprise, pinpoint high levels of capability and turn local discoveries into global improvements. ADOC is a tool to measure and accelerate a DevOps journey.

    ADOC is now available as an exclusive benefit to Premium and Enterprise Members. Learn more about the assessments at: https://devopsinstitute.com/devops-assessment/

  • 27-Factor Assessments Lead to Success With DevOps

    27-Factor Assessments Lead to Success With DevOps

    October 2019 will mark the 10th anniversary of the first DevOpsDays, where the term “DevOps” began to catch on. In the world of information technology, 10 years is a long time and it is quite evident based on the amount of change that has transpired since then. To name a few, we have seen the maturing of CI/CD automation and many innovations such as application release automation, containers, cloud infrastructure orchestration, DevSecOps, DevOps database, DevOps governance and micro-services.

    These innovations have become part of “mainstream DevOps.” This evolution is continuing with AIOps, machine learning, value stream management and others. Each of these innovations has made DevOps not only more powerful but also more complex.

    As a consultant working on DevOps projects through their life cycle, I have learned that complexity can plague the success of DevOps within an organization. Complexity cannot be avoided, as DevOps is complex and will likely continue to be. However, the key to avoiding failure through your DevOps journey is to engage the complexity by using DevOps tenets to implement DevOps. Do not try to boil the ocean. Instead, at each leg in the journey, take inventory of where you are in terms of current goals, state and best practices. Fine-tune your direction and build your solution using proven continuous delivery methods.

    The 27-Factor Assessment Model

    A comprehensive yet efficient assessment of your current state is key for ensuring complexity has not gotten out of hand and the organization is focused on success criteria that meet the needs of the business.

    I use a 27-factor assessment model. The factors are the cross-product of current best practices for three dimensions (people, process and technology) with nine pillars.

    A Scope of the 9 Pillars

    Leadership: Gain insight and understanding of your leadership practices and how leadership can improve DevOps adoption and performance.

    Culture: Identify opportunities to improve cross-functional collaboration and communication across your organization.

    Application Development (or Design for DevOps): A practical analysis of application development practices identifies improvements for your DevOps performance.

    Continuous Integration: Analysis of branching and software integration workflows and tools identifies bottlenecks and improvements for builds and packaging processes.

    Continuous Testing: Analysis of end-to-end software testing, verification workflows and tools identifies bottlenecks and improvements for accelerating testing while improving the coverage and quality of tests.

    Infrastructure on Demand (or Elastic Infrastructure): Analysis of systems and services for orchestrating and hosting applications and DevOps workloads provides insights to improve performance and utilization of resources.

    Continuous Monitoring: Analysis of end-to-end monitoring workflows and tools for applications, releases metrics and infrastructure provides improved visibility for all business and technical stakeholders.

    Continuous Security: Analysis of security practices and tools identifies opportunities to integrate security practices into the continuous delivery pipeline.

    Continuous Delivery/Deployment: Analysis of delivery and deployment practices identifies improvements for safer, faster and more efficient releases.

    Each combination of pillar and dimension has associated best practices used to score relevance and current state relative a DevOps goal agreed by the organization. Here is an example of the continuous security pillar.

    The 27-factor assessment for an application is an important input to a future state value-stream map workshop. The value-stream map is then transformed into a road map and implementation plan.

    This assessment approach is thorough and yields results that are usually accepted by stakeholders because they are involved in the process at each step. The result is aligned to their priorities and goals and the solution road map is directly traceable to stakeholder inputs. The approach is flexible enough to evolve over time and can be customized to suit the priorities of an organization. For those that argue that 27 factors are too many and too complex, I must say the complexity of DevOps itself requires a comprehensive assessment approach.

    Conclusion

    In this article, I described a comprehensive, efficient and evolvable assessment approach that uses 27 critical success factors for assessing DevOps applications. While DevOps offers immense value for software development, delivery and deployment, a rigorous and thorough assessment with up-to-date best practices are essential to accomplish DevOps goals. Each organization is different and has different DevOps goals and requirements. The changes to the three dimensions vary according to the results of each DevOps assessment.

    — Marc Hornbeek