DevOpsDaysRiga 2018: Neil Crawford - Trunk based development, continuous deployment and why you should adopt them

Oct 8, 20180 likes252 views

Practices of trunk based development and continuous deployment have helped our six vertical slice product delivery teams be able to work together on a single product (and codebase) while maintaining rapid iteration and experimentation. With this talk I hope to inspire more teams to try these practices.

Trunk based development &
continuous deployment
Neil Crawford
https://www.linkedin.com/in/neilcrawford/
ncrawford@findmypast.com

Types of work
Innovation
Improvement
Firefighting
Toil

Dev Ops
Flow
Feedback
Continuous Learning and
Experimentation

Findmypast
ecommerce search tree etc...
www.
marshall

Developers collaborate
on code
in a single branch
called ‘trunk’

Commit to
master
Write
software
Make a
feature
toggle
Ticket
started
Merge to
master
Commit to
branch
End
Write
software
Ticket
finished
Make a
branch
Start

UI
Launch
Darkly
Toggles
User
Attributes
Payment
API
Subs
API
Account
API
Etc…
API

Constraint
A frictionless
development experience!

DevOpsDaysRiga 2018: Neil Crawford - Trunk based development, continuous deployment and why you should adopt them

Schema
Tests
Smoke
Tests
LintingBuilds
Unit
Tests
Check
dashboard
Verify
commits
Pre
Push
hook

Critical
path
tests
Build &
Test
Check
Teamcity
Check
CI
pipeline
Verify
commits
Pre
Push
hook

Push
Check
CI
pipeline
Verify
commits
Pre
Push
hook

Push
Check
CI
pipeline
Verify
commits
Pre
Push
hook
Pre push pipeline!

Every change
goes live
immediately &
automatically

App
Service
discovery
CI/CD tools
Dashboards
Logging
Monitoring
Alerting
Dev
Setup
Hosts
Feature
toggles
Analytics

Motivation
Time
Enthusiasm
Shock
Denial
Confusion
Optimism
Acceptance
Anxiety
Experimentation
Letting go
Resistance
Anger
Valley of
despair

Findmypast
ecommerce search tree etc...
www.
marshall
Prometheus
Front end tooling
Dev dashboard
Marshall
Spanners
Infrastructure
Tools
CD pipelines

Neil Crawford
https://www.linkedin.com/in/neilcrawford/
ncrawford@findmypast.com
Let’s go fast!!!

Are you sick of Merge Hell? Do your feature branches go rogue? Do you spend more time fiddling with your Version Control System than doing actual development work? Then Trunk Based Development might be for you. Facebook does it. Google does it. Instead of messing with multiple branches, just use your master branch. Always. In addition to giving you an overview about how Trunk Based Development works, where it shines and where the pitfalls are, this talk will also cover the necessary techniques to succeed with it, such as Branch By abstraction, Feature Toggles and backwards compatible Database Migrations.

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Trunk-based development is a workflow where developers work directly on a main branch called the "trunk". The trunk is always in a deployable state. Short lived branches are used for developing new features which are then merged into the trunk after passing tests. Releases are cut from the trunk periodically. This allows for continuous integration and deployment while maintaining a stable release.

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CI - SFDX + Bitbucket Pipelines provides an overview of continuous integration using Bitbucket Pipelines for Salesforce development. It discusses what CI is, why it is important, and common blockers. It then provides a deep dive into setting up Bitbucket Pipelines for Salesforce projects using SFDX and scratch orgs. Key steps include configuring a connected app, using JWT for authentication, and creating a bitbucket-pipelines.yml file to automate the CI flow of deploying to scratch orgs, running tests, and deleting scratch orgs on each push. Tips are also provided on branch permissions, the branching model, and other Bitbucket features that can improve the CI process.

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Marko BerkovićCodeFest

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Practical DevOps & Continuous Delivery – A Webinar to learn in depth on DevO...Hugo Messer

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Richard Dawkins described memes as being a form of cultural propagation, which is a way for people to transmit social memories and cultural ideas to each other. Not unlike the way that DNA and life will spread from location to location, a meme idea will also travel from mind to mind. Getting your organization to take a step back and look at how ops affects people (awareness of alert fatigue, burnout risk, proactive/reactive approaches) can be a tough challenge. In this talk, I will discuss how the very DNA of an organization can evolve through the use of actionable communications from all levels - management, strategy, and practitioners. The “virus” of humane ops will infect your organization, providing a more sustainable approach to on-call, incident resolution, post-mortems, and more. There also will be copious references to the Neal Stephenson classic novel, Snow Crash. After this talk, you will have ideas of practical approaches to effect change in your organization, regardless of your level of influence. While not every group will use the same “viruses”, you will take away a good understanding of where to get started as Patient Zero.

DevOpsDaysRiga 2018: Eric Skoglund, Lars Albertsson - Kubernetes as data plat...DevOpsDays Riga

This document discusses using Kubernetes as a data platform. It describes using use case driven development to build the initial platform, focusing on simple use cases that provide value. The platform is designed to facilitate collaboration and democratize data access. Pipelines are used to process and transform data in the data lake. The platform supports features like continuous deployment, autoscaling, and compliance with GDPR for data retention and deletion. Lessons learned include selecting cloud infrastructure based on data locations and using Kubernetes for its support and to avoid managing separate clusters.

DevOpsDaysRiga 2018: Jon Hall - DevOps in the enterprise: how "swarming" can ...DevOpsDays Riga

As DevOps becomes increasingly established in enterprises, and its outputs become widely adopted, DevOps practitioners increasingly find themselves absorbed into traditional, large scale IT support structures. Often this means becoming “tier 3” in a multi-layered support structure. The shortcomings of this structure make it the antithesis of DevOps: the siloed nature of tiered support creates work-in-progress queues. Cross-functional collaboration is limited, communication is disjointed, and knowledge sharing is difficult. In this presentation we will discuss Swarming: an alternative methodology now emerging in forward-looking enterprises, which sets out to dismantle the tiered approach, replacing it with a dynamic, lean, and cross-functional methodology which is a much better fit for DevOps.

DevOpsDaysRiga 2018: Stas Zvinyatskovsky - Transformation: how big can you dr...DevOpsDays Riga

DevOpsDaysRiga 2018: Joep Piscaer - Reducing inertia with Public Cloud and Op...DevOpsDays Riga

"I have a strategy to solve the DevOps transitional challenge. It is called reducing inertia that can be seen on daily basis in finances, team behavior and tech stacks. Reducing the friction in these areas is key to successfully move to the DevOps way of work. For me, ‘inertia’ is a good way of making value flow visible and I’ve been using it as the principle underlying my work. This approach can be applied especially successfully in more complex environments, such as enterprises." Joep Piscaer is a technologist with team building skills. He likes all things infrastructure (cloud, storage, virtualization), but really shines when it comes to DevOps and Infra-as-Code. Currently, Joep is building the Jumbo Tech Campus. It is the second biggest supermarket in the Netherlands and the fastest growing online supermarket there.

DevOpsDaysRiga 2018: Andrey Adamovich - DevOps Transformations: Tools vs CultureDevOpsDays Riga

SysAdmins are obsolete, we need more DevOps engineers! Or do we? In this talk, the author will give several use cases from his personal experience helping organizations to implement DevOps initiatives and automation of software delivery and testing. Why technology X is not what you need right now Why ignoring skills that are already present in the team may be a huge risk Why everything-as-code is an effective approach Why not investing in team member education may be very destructive Why not having time is a bad excuse for not automating Why process improvement effects may not be observable immediately Why cost of automation sometimes is higher than the time invested in writing the scripts

DevOpsDaysRiga 2018: Thiago de Faria - Chaos while deploying ML and making su...DevOpsDays Riga

AI is such a buzzword, with its futuristic implementations and sophisticated machine learning algorithms (Hello, Deep learning!). We are using ML when we need external data to reach a working product because it would be impossible to solve it with the regular for/if/loops. What are the next steps? Moreover, what about Test, Release and Deployment? We always value data and call our organizations “data-driven”, but now the impact is even bigger. If you are using a ML component, misused/dirty/problematic data will affect not your internal reports as before… but your application deployment and quality of service. Let’s hear discuss some AI implementations stories (its advantages/problems) finding common mistakes and future challenges for such a hyped theme.

DevOpsDaysRiga 2018: Anton Arhipov - Build pipelines with TeamCityDevOpsDays Riga

Build engineering is fun, especially with the awesome choice of tools we have today! In this showcase I’m building a build pipeline with TeamCity. You are going to learn why build pipelines are useful (yes, not only for the sake of eye candy!), and how the CI server can optimise when properly configured. In this talk I’m going to start with the simple scenarios and gradually introduce the complexity: scaling the project by adding constraints and requirements. This will result in changing the build process and revealing the tips & tricks alongside.

DevOpsDaysRiga 2018: Michiel Rook - Database schema migrations with zero down...DevOpsDays Riga

Does your application or service use a database? When that application changes because of new business requirements, you may need to make changes to the database schema. These database migrations could lead to downtime and can be an obstacle to implementing continuous delivery/deployment. How can we deal with database migrations when we don’t want our end-users to experience downtime, and want to keep releasing? In this talk we’ll discuss non-destructive changes, rollbacks, large data sets, useful tools and a few strategies to migrate our data safely, with minimum disruption to production.