Columbia Sportswear at DevOpsDays Seattle 2018

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This document discusses continuous delivery practices for Azure PaaS applications. It provides guidance on using a cloud-first strategy with Azure services like API Management, Service Fabric, and Azure Data Lake. It outlines a CI/CD pipeline using Visual Studio Team Services for building, deploying to dev/test, and releasing to production. Future aspirations include containerizing applications, using .NET Core, refactoring deployment scripts, and establishing global build templates. The document emphasizes starting small, equipping teams, and being clear on outcomes to drive organizational changes towards cloud-first strategies and breaking down data silos.

Engineering

2016
DevOps Kaizen | PDSA | “Little J”
https://youtu.be/RT542sffJpM
The Talent you need is already inside…
https://youtu.be/xQ6r-b_Tm5g
Using DevOps to build your learning org
https://youtu.be/77-jns8fY-M
@damonedwards

Guidance
• 18F / cloud.gov
• Capital One’s Software
Cleanroom
• NOT a lift and shift
• Cloud First : SaaS > PaaS > IaaS
• ARM templates / wrappers
• Abstraction layer
2018

https://twitter.com/i/moments/932319271752835072

“CD-ing”
Continuous Delivery for Azure
PaaS
• API & API Management
• Service Fabric
• Web Applications
• Event Hub
• Service Bus
• Azure Data Lake Store
• Azure Data Factory
• Cosmos DB
• Azure SQL
• Subscription Policies
• Azure RBAC
• Logic Apps
• Azure Functions
• Etc.https://twitter.com/i/moments/932319271752835072

Visual Studio Team Services
.vsts-ci.yml
• Invoke-CscApiBuild
• Invoke-CscApiSpecflow
• Invoke-CscApiSonarQube
• Invoke-PSDeploy (Deploys to Artifactory)
Release Definition
• Invoke-CscApiDeploy
• Invoke-CscApiDeployTests (Staging Slot)
• Switch-CscApiSlot
• Invoke-CscApiDeployTests (Live)
• Invoke-CscApiGatewayDeploy
BUILD
(CI)
RELEASE
(CD)
DEV
STG
PROD
.yml build parameters

Break down data silos.
• Enterprise
data and
data
governance.
• As it
happens.
• The API
ecosystem.
• Loose
coupling.

Dump the rind
and keep the
juice.
Skip IaaS, jump
to SaaS and
PaaS.

Bringing
others along.
1. Start small.
2. Equip your teams
for success.
3. Be clear about
outcomes.

Start small
and talk
about your
wins with
people who
will care.

Be clear about
outcomes…
what do we get when we
get there?

Perfect
conditions for
change?
Or business
as usual in
information
technology?

This document discusses Capgemini's DevOps platform and solutions for addressing common industry challenges. It outlines tools and technologies like Pivotal Cloud Foundry, Spring, Kubernetes, and AWS that provide benefits such as instant provisioning, continuous integration and delivery, automation, self-healing applications, and independent platform upgrades without downtime. Contact information is provided for Capgemini executives to discuss these DevOps solutions.

Sharing is Caring

Petri Kallberg

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VMware Tanzu

SpringOne Platform 2016 Speaker: James Taylor; Architect, Comcast The Pivotal Team demonstrated the power of partnership during their engagement with the Comcast SPARROW Activation Team. Throughout the engagement, the SPARROW Team, leveraged every dimension of the Pivotal Teams capabilities from discussions of product strategy, architecture principles, design approaches, identifying areas of improvement, best practices and production deployment (standby support), this was truly a partnership. In parallel, Pivotal collaborated with the APS NTCE (New Technology Center of Excellence) to start educating our engineers on cloud technologies, micro-services, DevOps, Continuous Delivery & Deployment which was very helpful in enabling our engineers to change mindset. In fact, the relationship went significantly further then trying to sell software the relationship was focused on solving our business problems both technical and non-technical. The SPARROW Team was able to observe in production many of the design patterns that came out of the cloud-native transformation, we anticipate more than a 50% reduction in infrastructure systems, 30% improvement in productivity based on feedback from the development team during Iteration Planning & Retrospectives. In our early stage of production deployments we have seen 1% improvement in activation success already… This has been an unexpected journey.

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Real World DevOps - Jason Riggins

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People love the freedom and control that comes with hosting an add-on in the cloud, but financially speaking, that freedom doesn't come for free. You'll end up paying for your servers whether they serve requests or not, and of course, someone is needed to monitor and upgrade these servers. In this talk, we will cover best practices on how to get a simple and inexpensive cloud add-on going for Hipchat, Bitbucket, Confluence and JIRA without all the overhead of running your own servers. We'll cover serverless technologies like AWS Lambda, static frontends, and how you can use JIRA and Confluence to host your add-on data. Products covered: JIRA Software, JIRA Core, Confluence, HipChat

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VMware Tanzu

SpringOne Platform 2016 Speaker: Nick Beenham; Senior Principal Engineer, Comcast Within the Enterprise Services Team at Comcast, we have a platform that handles x million transactions a day. Over the course of a year we transformed from large monolithic deployments with cycle times of anything from 90 days to a series of lean and agile teams with cycle times measured in hours. We achieved this through cultural and technological transformations. Our culture changed from one of individual siloed development to cross-functional teams embracing Agile methods, our technology changed from heavy application server platforms on bare metal to PaaS using Cloud Foundry, from disjointed and manual builds to continuous delivery. This is our story.

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Francisco Arturo Viveros

This document summarizes a presentation by Arturo Viveros and Jon Petter Hjulstad of Sysco Middleware on implementing infrastructure as code for Oracle Fusion Middleware using DevOps. Sysco is an IT company specializing in database technology and middleware with a focus on the energy sector. The presentation discusses the benefits of infrastructure as code such as increased agility, quality, and reduced overhead. It also covers topics like provisioning tools, automation strategies, configuration management, continuous integration/deployment, and testing frameworks.

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As the 2014 and 2015 Forbes Most Innovative Growth Company, Xero has seen exponential growth since its inception 10 years ago. Fostering a culture of collaboration across global teams is a challenge in itself, let alone onboarding and promoting effective use of agile tools in the context of hyper-growth. Learn how Xero is fostering a culture of collaboration and building in-house capability and advocacy to support their global teams to get more out of JIRA & Confluence. Products covered: JIRA Software, Confluence

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Tasktop

Integration is at the heart of value stream improvement. In software, your value stream spans different domains and tools, which makes integration unavoidable. You need a seamless flow of information between people and tools to refine your delivery process. Integration can be complex, but the difficulty is compounded when you cannot see everything that needs to be connected. When you can actually see what’s flowing between systems in a simple, intuitive way, you are well on your way to being able to improve your value stream. In this webinar we’ll demonstrate how to: * Create a connected value stream by automating artifact flow across your software development and delivery tools * Provide value stream visibility to senior leadership with Tasktop’s new Integration Landscape View * Easily scale and manage integrations with model-based integration management

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GoDataDriven

The typical organizational model is that teams are in constant flux, are created for work, are only responsible for the change and are not empowered, or lack trust, to run products. A high performance organization model allows teams to take full responsibility for cost, compliance and security, and lets them own their own incidents. This improves quality, change failure rates, lower costs and leads to more happy employees. DevOps is about creating with the end in mind, cross-functional autonomous teams and end-tn-end responsibility. You build it, you run it. You break it, you fix it. This means you want to automate everything in a CI/CD pipeline. Roll-forward, don't roll-back. DevOps principles play an important role in a data-driven maturity model. Continuous prototyping and a data mindset and skills for everybody. In a Data Science Workflow combining input data and deriving the model features usually requires the most of the work, and lots of iterations before its done. Implement features one-by-one. So, start with a baseline model and compare this against more complex models, to see if additional complexity is worth the performance gain. The result of a data scientist is a trained model. Such a model contains 4 components: input data, derived features, chosen model type and hyperparameters. A trained model is always the combination of data and the code. So where do you run this trained model? Model management is versioning code but not the data. A model management server stores hyperparameters, performance metrics, metadata, trained models. IN a data science pipeline, we have two components for deployment: the application and the trained model. So we split the pipeline into parts: a build pipeline, a train pipeline and a deploy pipeline. A complete pipeline mapped to azure components would look largely like this: An Azure DevOps Build pipeline, an Azure ML Training pipeline and an Azure DevOps Release pipeline.

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Slides for the presentation that I gave at DockerCon 2017 in Austin. The slot was rather short (20 minutes) and there wasn't a whole lot of time to dive into details, but I try to describe the main IT/business drivers that we've observed around container migration, our methodology for doing migrations in a structured manner, and then dive into some very practical topics based on existing migration exprience with Docker Datacenter Enteprise Edition.

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Great software is built with a manifesto, an iterative process, and places customers at the highest priority. Why should the design and build of a workspace be any different? At Atlassian, we've been focussing heavily on the design of our workspaces to create flexible, engaging, delightful, and yes productive places for our teams to work in. After all, you can't take creative people, stick them in a sterile, uninspiring environment, and expect them to achieve the best work of their lives. It's about a lot more than foosball tables, beanbag chairs, and whiteboards. We think what we've learned can be applied anywhere from a freelancer's home office to entire office buildings. As our organisation has evolved from its engineering roots to incorporate a large design team, so have the needs of our workspace to help us work together as teams. Hear Alastair Simpson and Robyn Dunn talk about how the Workplace Experience team at Atlassian partnered with their own internal customers to build workspaces in an agile way that is reflective of our modern workforce. Applying design thinking and user experience principles, they have successfully shaped creative workspaces that have scaled with the changing needs of their teams. Come and hear what they've learned (and some hilarious mistakes they've made along the way) about the benefits of creating better workplace environments through thoughtful design to help teams become more productive.

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DevOpsGuys FutureDecoded 2016 - is DevOps the Answer

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Preparing your Department to consume public cloud

Paul J Harding

The document provides an agenda and overview for a workshop on preparing government departments to consume public cloud services. The agenda includes introductions, updates on the government's cloud adoption strategy, how to procure cloud services from Shared Services Canada, shifting culture to be more agile, getting started on a cloud program, assessing applications for proof of concepts, and discussion. The document outlines initial steps for a cloud program, such as selecting applications for proof of concepts, establishing a cloud center of excellence, and understanding the application portfolio. It also discusses factors for assessing applications' suitability for public cloud, such as costs, effort to migrate, risks, fit and business value.

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Columbia Sportswear at DevOpsDays Seattle 2018

1. WE CONNECT ACTIVE PEOPLE WITH THEIR PASSIONS Scott Nasello @scottnasello Director, Delivery Engineering Tim Melvin @_TMelvin Senior Director, Global Solutions Delivery

2. 2014

3. 2015

4. 2016 DevOps Kaizen | PDSA | “Little J” https://youtu.be/RT542sffJpM The Talent you need is already inside… https://youtu.be/xQ6r-b_Tm5g Using DevOps to build your learning org https://youtu.be/77-jns8fY-M @damonedwards

5. 2017

6. Guidance • 18F / cloud.gov • Capital One’s Software Cleanroom • NOT a lift and shift • Cloud First : SaaS > PaaS > IaaS • ARM templates / wrappers • Abstraction layer 2018

7. https://twitter.com/i/moments/932319271752835072

8. “CD-ing” Continuous Delivery for Azure PaaS • API & API Management • Service Fabric • Web Applications • Event Hub • Service Bus • Azure Data Lake Store • Azure Data Factory • Cosmos DB • Azure SQL • Subscription Policies • Azure RBAC • Logic Apps • Azure Functions • Etc.https://twitter.com/i/moments/932319271752835072

9. Visual Studio Team Services .vsts-ci.yml • Invoke-CscApiBuild • Invoke-CscApiSpecflow • Invoke-CscApiSonarQube • Invoke-PSDeploy (Deploys to Artifactory) Release Definition • Invoke-CscApiDeploy • Invoke-CscApiDeployTests (Staging Slot) • Switch-CscApiSlot • Invoke-CscApiDeployTests (Live) • Invoke-CscApiGatewayDeploy BUILD (CI) RELEASE (CD) DEV STG PROD .yml build parameters

10. Visual Studio Team Services .vsts-ci.yml • Invoke-CscApiBuild • Invoke-CscApiSpecflow • Invoke-CscApiSonarQube • Invoke-PSDeploy (Deploys to Artifactory) Release Definition • Invoke-CscApiDeploy • Invoke-CscApiDeployTests (Staging Slot) • Switch-CscApiSlot • Invoke-CscApiDeployTests (Live) • Invoke-CscApiGatewayDeploy BUILD (CI) RELEASE (CD) Columbia CI/CD Modules DEV STG PROD

11. Visual Studio Team Services .vsts-ci.yml • Invoke-CscApiBuild • Invoke-CscApiSpecflow • Invoke-CscApiSonarQube • Invoke-PSDeploy (Deploys to Artifactory) Release Definition • Invoke-CscApiDeploy • Invoke-CscApiDeployTests (Staging Slot) • Switch-CscApiSlot • Invoke-CscApiDeployTests (Live) • Invoke-CscApiGatewayDeploy BUILD (CI) RELEASE (CD) CI/CD Aspirations DEV STG PROD • Containerize build servers • .NET CORE • Containerize APIs • Refactor csc-azure • AzureRM requirements In progress by Microsoft • .yml release definitions • Global build templates

12.

13. Where are we going? What do we need to get there? • Growing retail. • Brand led business. • Cloud first strategy. • Expanding code delivery and automations practices.

14. Break down data silos. • Enterprise data and data governance. • As it happens. • The API ecosystem. • Loose coupling.

15. Dump the rind and keep the juice. Skip IaaS, jump to SaaS and PaaS.

16. Bringing others along. 1. Start small. 2. Equip your teams for success. 3. Be clear about outcomes.

17. Start small and talk about your wins with people who will care.

18. Equip teams for success.

19. Be clear about outcomes… what do we get when we get there?

20. Perfect conditions for change? Or business as usual in information technology?

21. Thank You

Editor's Notes

Who knows about our DOT program? We find the most adaptable and eager folks and throw them numerous adventures Similar to our Directors of Toughness, we picked a few engineers and asked them to roll up their sleeves…we gave them just a little bit of guidance 18F website & engagement model. Since Pipelines, use Capital One for inspiration. <> looking Lift & Shift : transform COTS  Cloud suitable (Paas). Terraform but incomplete for PaaS  ARM || Abstractions EA & BizTalk team were implementing our Cloud First, API oriented Open Data Platform. Trans. / re-do of EDW on Azure. Tim will discuss our data reengineering

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