In this workshop, we'll focus on how DevOps engineers can leverage GitHub Copilot for typical DevOps tasks, simply and easily. We'll discuss how Copilot Chat can be used to drive creating specifications and infrastructure for use with Docker, GitHub Actions, Terraform, and Kubernetes.
By the end of the workshop, participants will understand where, when, and how GitHub Copilot can be used to accelerate being productive with these DevOps apps.
Join speaker, author, and former DevOps director Brent Laster for a fast-paced, hands-on session to understand how you can put GitHub Copilot's AI capabilities to work in common DevOps scenarios. With only a GitHub id and a browser, you'll be able to leverage a full IDE environment in GitHub Codespaces without installing anything on your own system. Each lab will focus on a different technology and guide you through creating simple examples that you can extrapolate to larger, production efforts.
You'll need to bring a laptop and already have an account and access to the public GitHub.com to do the labs.
We look forward to seeing you in the workshop!
In this workshop, we'll focus on how DevOps engineers can leverage GitHub Copilot for typical DevOps tasks, simply and easily. We'll discuss how Copilot Chat can be used to drive creating specifications and infrastructure for use with Docker, GitHub Actions, Terraform, and Kubernetes.
By the end of the workshop, participants will understand where, when, and how GitHub Copilot can be used to accelerate being productive with these DevOps apps.
Join speaker, author, and former DevOps director Brent Laster for a fast-paced, hands-on session to understand how you can put GitHub Copilot's AI capabilities to work in common DevOps scenarios. With only a GitHub id and a browser, you'll be able to leverage a full IDE environment in GitHub Codespaces without installing anything on your own system. Each lab will focus on a different technology and guide you through creating simple examples that you can extrapolate to larger, production efforts.
You'll need to bring a laptop and already have an account and access to the public GitHub.com to do the labs.
We look forward to seeing you in the workshop!
Just as CI/CD and other revolutions in DevOps have changed the landscape of the software development lifecycle (SDLC), so Generative AI is now changing it again. Gen AI has the potential to simplify, clarify, and lessen the cycles required across multiple phases of the SDLC.
In this session with author, trainer, and experienced DevOps director Brent Laster, we'll survey the ways that today's AI assistants and tools can be incorporated across your SDLC phases including planning, development, testing, documentation, maintaining, etc. There are multiple ways the existing tools can help us beyond just the standard day-to-day coding and, like other changes that have happened over the years, teams need to be aware of, and thinking about how to incorporate AI into their processes to stay relevant and up-to-date.
Platform engineering is the latest buzzword, in a industry that already has it's fair share. But what is platform engineering? How does it fit in with DevOps and Developer Experience (DevEx)? And is this something your organization even needs?
In this session we will aim to to dive deep into the world of platform engineering. We will see what platform engineering entails, how it is the logical succession to a successful DevOps implementation, and how it aims to improve the developer experience. We will also uncover the keys to building robust, sustainable platforms for the future
Platform engineering is the latest buzzword, in a industry that already has it's fair share. But what is platform engineering? How does it fit in with DevOps and Developer Experience (DevEx)? And is this something your organization even needs?
In this session we will aim to to dive deep into the world of platform engineering. We will see what platform engineering entails, how it is the logical succession to a successful DevOps implementation, and how it aims to improve the developer experience. We will also uncover the keys to building robust, sustainable platforms for the future
Join us for a hands-on workshop, GitOps: From Commit to Deploy, where you’ll explore the entire lifecycle of modern application deployment using GitOps principles.
We’ll begin by committing an application to GitHub and watching as your code is automatically built through Continuous Integration (CI) and undergoes rigorous unit and integration tests. Once your application passes these tests, we’ll build container images that encapsulate your work, making it portable, secure, and deployment-ready. Next, we’ll push these images to a container registry preparing for deployment
Next, you will learn how to sync your application in a staging Kubernetes cluster using ArgoCD (CD), a powerful tool that automates and streamlines the deployment process. Finally, we’ll demonstrate a canary deployment in a production environment with ArgoCD, allowing for safe, gradual rollouts that minimize risk.
By the end of this workshop, you’ll have practical experience with the tools and techniques that perform GitOps deployments, so you can take this information and set up your deployments at work.
1.Git
Join us for a hands-on workshop, GitOps: From Commit to Deploy, where you’ll explore the entire lifecycle of modern application deployment using GitOps principles.
We’ll begin by committing an application to GitHub and watching as your code is automatically built through Continuous Integration (CI) and undergoes rigorous unit and integration tests. Once your application passes these tests, we’ll build container images that encapsulate your work, making it portable, secure, and deployment-ready. Next, we’ll push these images to a container registry preparing for deployment
Next, you will learn how to sync your application in a staging Kubernetes cluster using ArgoCD (CD), a powerful tool that automates and streamlines the deployment process. Finally, we’ll demonstrate a canary deployment in a production environment with ArgoCD, allowing for safe, gradual rollouts that minimize risk.
By the end of this workshop, you’ll have practical experience with the tools and techniques that perform GitOps deployments, so you can take this information and set up your deployments at work.
1.Git
Kubernetes IS the the cloud operating system, allowing to to do everything from resource management, to scheduling to networking. However, deploying applications of any complexity can be overwhelming. involving wrangling lots of YAML files. Oh! And good luck versioning your releases.
Most operating systems ship with a package manager. From apt to home brew to chocolatey, a package manager simplifies the act of installing software. So why don't we have one for Kubernetes?
Well, your wait is over. Say hello to Helm—the Kubernetes package manager. Helm, a CNCF project, aims to simplify deploying your applications to Kubernetes, with support for multiple environments, versioning, rollbacks and so much more.
In this session we will deep dive into Helm. We will see what it takes to package your applications using Helm, and discuss the benefits of folding Helm into your workflows. Single-click Kubernetes deployments, here we come!
Git revolutionized the way we think about version control. Kubernetes' on the other hand gave us a programmatic mechanism to declaratively specify the desired state of a cluster, and with the magic of Kubernetes reconciliation loop automatically see the cluster reflect that ask.
Combine the two, and we get GitOps. In this session we will take a look at FluxCD, a CNCF project that allows you to commit your changes to a repository, and have your changes automatically applied to your Kubernetes cluster.
Join me to see what it takes to adopt FluxCD in your workflow, the benefits it provides, and how you can modernize, simplify and automate your deployment process.
In this session, we will take a look at GitOps, using FluxCD to simplify and automate your deployment process.
A large part of embracing DevOps involves embracing automation. Over the last decade we have seen the emergence of “as Code” — Build-as-Code, Configuration-as-Code and Infrastructure-as-Code. The benefits to utilizing such tools are huge! We can codify the state of the world around our applications, giving us the ability to treat everything that our code needs like we treat the code itself. Version control, release management, tagging, even rolling backs are now possible.
Terraform, an open-source tool from HashiCorp allows us to build, control and modify our infrastructure. Terraform exposes a Domain-specific language (DSL) that we can use to express what our infrastructure should look like. Terraform can work with all the major cloud providers, including Amazon AWS, Google GCP and Microsoft Azure.
We will be using AWS as our playground for this workshop
Agenda
apply-ing terraformdata and output in your terraform scriptsInstructions
Please visit https://github.com/looselytyped/terraform-workshop/ for detailed instructions. They might seem a tad arduous but it's not as bad as it looks :)
Please visit https://github.com/looselytyped/terraform-workshop/ for detailed instructions. They might seem a tad arduous but it's not as bad as it looks :)
A large part of embracing DevOps involves embracing automation. Over the last decade we have seen the emergence of “as Code” — Build-as-Code, Configuration-as-Code and Infrastructure-as-Code. The benefits to utilizing such tools are huge! We can codify the state of the world around our applications, giving us the ability to treat everything that our code needs like we treat the code itself. Version control, release management, tagging, even rolling backs are now possible.
Terraform, an open-source tool from HashiCorp allows us to build, control and modify our infrastructure. Terraform exposes a Domain-specific language (DSL) that we can use to express what our infrastructure should look like. Terraform can work with all the major cloud providers, including Amazon AWS, Google GCP and Microsoft Azure.
We will be using AWS as our playground for this workshop
Agenda
apply-ing terraformdata and output in your terraform scriptsInstructions
Please visit https://github.com/looselytyped/terraform-workshop/ for detailed instructions. They might seem a tad arduous but it's not as bad as it looks :)
Please visit https://github.com/looselytyped/terraform-workshop/ for detailed instructions. They might seem a tad arduous but it's not as bad as it looks :)
MLOps is a mix of Machine Learning and Operations. It is the new frontier for those interested in or knowledgeable about both of these disciplines. MLOps supports the operationalization of machine learning models developed by data scientists and delivers the model for processing via streaming or batch operations. Operationalizing Machine Learning Models is nurturing your data from notebook to deployment through pipelines.
In this workshop, we will describe the processes:
Some of the technologies we will discover include:
Our exercises will include running and understanding MLFlow.
None
MLOps is a mix of Machine Learning and Operations. It is the new frontier for those interested in or knowledgeable about both of these disciplines. MLOps supports the operationalization of machine learning models developed by data scientists and delivers the model for processing via streaming or batch operations. Operationalizing Machine Learning Models is nurturing your data from notebook to deployment through pipelines.
In this workshop, we will describe the processes:
Some of the technologies we will discover include:
Our exercises will include running and understanding MLFlow.
None
Containers are everywhere. Of course, a large part of the appeal of containers is the ease with which you can get started. However, productionizing containers is a wholly different beast. From orchestration to scheduling, containers offer significantly different challenges than VMs.
In particular, in terms of security. Securing and hardening VMs is very different than that for containers.
In this twopart session, we will see what securing containers involves.
We'll be covering a wide range of topics, including
Understanding Cgroups and namespaces
What it takes to create your own container technology as a basis of understanding how containers really work
Securing the build and runtime
Secrets management
Shifting left with security in mind
Containers are everywhere. Of course, a large part of the appeal of containers is the ease with which you can get started. However, productionizing containers is a wholly different beast. From orchestration to scheduling, containers offer significantly different challenges than VMs.
In particular, in terms of security. Securing and hardening VMs is very different than that for containers.
In this twopart session, we will see what securing containers involves.
We'll be covering a wide range of topics, including
Understanding Cgroups and namespaces
What it takes to create your own container technology as a basis of understanding how containers really work
Securing the build and runtime
Secrets management
Shifting left with security in mind
Canary Deployments are the last ingredient of any Continuous Delivery or Continuous Deployment rollout. A canary deployment is a deployment strategy that releases an application or service incrementally to a subset of users. All infrastructure in a target environment is updated in small phases (e.g., 2%, 25%, 75%, 100%). This control makes a canary release the lowest risk-prone compared to all other deployment strategies, like the blue-green strategy. If you need to back out of a production deployment quickly without much disruption, then canary deployments may be an excellent practice to set up.
We will treat this talk like a recipe so that you can set up a canary in your work environment.
A lot of development teams have built out fully automated CI/CD pipelines to deliver code to production fast! Then you quickly discover that the new bottleneck in delivering features is their existence in longlived feature branches and no true CI is actually happening. This problem compounds as you start spinning up microservices and building features across your multirepo architecture and coordinating some ultrafancy release schedule so it all deploys together. Feature flags provide you the mechanism to reclaim control of the release of your features and get back to shortlived branches with true CI. However, what you're not told about feature flags in those simple “if/else” getting started demos is that there is an upfront cost to your development time, additional complexities, and some pitfalls to be careful of as you begin expanding feature flag usage to the organization. If you know how to navigate these complexities you will start to unleash true velocity across your teams.
In this talk, we'll get started with some of the feature flagging basics before quickly moving into some practical feature flagging examples that demonstrate its usage beyond the basic scenarios as we talk about UI, API, operations, migrations, and experimentation. We will explore some of the hard questions around “architecting feature flags” for your organization.