Introduction (required): Title and brief overview of what the poster reports on. Title: Pipeline architectures in C++: overloaded pipe operator | std::expected and its monadic operations Brief programmers. One of its most characteristic patterns is composition of functions in the form of a pipeline pattern. Since C++20 we can use the ranges library with its characteristic function composition abilities thanks to the overloaded pipe operator. In this poster I show how to implement a custom pipeline framework that employs std::expected, available since C++23. An overloaded custom pipe operator

The Principles of GitOps Key Benefits of GitOps What Happens When you Adopt GitOps? Typical CI/CD Pipeline GitOps Separation of Privileges 03 04 05 06 07 10 GitOps Hands On Tutorial Part 1: 1: Spin up a Kubernetes Cluster Part 2: Fork the Sock Shop Repository Part 3: Setup CI and Connect a Container Registry Part 4: Let’s Get Started with GitOps Further Resources 11 14 works by using Git as a source of truth for declarative infrastructure and applications. Automated CI/CD pipelines roll out changes to your infrastructure when commits are pushed and approved in Git. It

from Git Tools of the Trade https://argoproj.github.io/argo-cd https://kustomize.io/ Argo CD Kustomize Argo CD - What is It? Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes including: ○ Helm ○ Kustomize ○ Ksonnet/Jsonnet ○ Directories of yaml ● It is not a CI tool What is an Argo CD Application? apiVersion: argoproj.io/v1alpha1 kind: Application metadata: name: product-catalog-dev targetRevision: master syncPolicy: automated: prune: false selfHeal: false ● Argo CD Application is a Custom Resource (CR) that defines the app in a declarative manner ● Application

OF DEVOPS Table of Contents 1. The Pains of GitOps 1.0 1.1. GitOps tools 1.2. Splitting CI and CD 1.3. Promotion of releases between environments 1.4. Modeling multi-environment configurations from features and not Git hashes 3.3. The new Codefresh GitOps dashboard 3.4. Argo CD Integration 3.5. CI/CD pipelines with Codefresh 3.6. Getting started with GitOps 2.0 Introduction points of GitOps: 1. GitOps covers only a subset of the software lifecycle 2. Splitting CI and CD with GitOps is not straightforward 3. GitOps doesn’t address promotion of releases between environments

Whenever a new change is required, a pull request with the new change is created, executing the CI/CD pipeline to provision or modify the infrastructure. Additionally, GitOps offers users the flexibility deploying changes quickly with the help of: CI/CD tools Automated deployments Shorter feedback loops By having infrastructure as a part of the CI/CD pipeline, any application modification that requires authorization requirements for infrastructure modification. Since infrastructure is a part of the CI/CD pipeline, individual developers do not require direct access to resources, hence not needing credentials

and Immutable Pulled Automatically Continuously Reconciled GitOps and CI/CD Traditional CI/CD Workflows Where does GitOps fit in? Operations via Pull Request Summary Infrastructure as Code Challenges of Infrastructure as Code Containers Change the Game Argo CD Flux Open Cluster Management Other GitOps Tools PipeCD Keptn Pulumi 33 Chapter 6–CI/CD with GitOps CI and CD Can Be Decoupled Integrating Synchronous and Asynchronous Tools CI Managed Benefits Drawbacks CI Owned and CD via GitOps

insatiable demand for delivering quality applications rapidly 2 Continuous Integration(CI) & Continuous Delivery (CD) 3 Build Test Security Checks Release Deploy Stage Deploy Prod Continuous Integration approach to application delivery A A A What you want (desired state) What you have (current state) CD Why GitOps? Reliably and consistently configure multiple Kubernetes clusters and deployment 6 Git Repository Image Registry CI The GitOps Application Delivery Model 8 Source Git Repository Config Git Repository Image Registry Kubernetes CI CD The GitOps Application Delivery Model

and systems needed to manage version control, configuration management, Infrastructure as Code, CI/CD, and observability have drastically increased. This puts an additional burden on the developer turnaround for new features and functionality for the customer. SELF-SERVICE With the existing CI/CD approach, the development team remains dependent on the operations team to deploy new changes in traditional CI-CD flow. We will also review core benefits over the traditional CI/CD approach. TRADITIONAL CI/CD WORKFLOW OVERVIEW Before diving further, let's first understand how traditional CI/CD works

Protecting system packages 2.6. Fix encoding error 2.7. Removing docstring 2.8. Using Pyarmor in CI Pipeline 2.9. Work with Third-Party Libraries 2.9.1. Third party libraries 2.10. Using Pyarmor License ls dist2/mypkg/ ... __init__.py All the obfuscated scripts in the dist2/mypkg, test it: $ cd dist2/ $ python -C 'import mypkg' If there are sub-packages, using -r to enable recursive mode: $ ├── utils.py └── config.json First make output path projects/dist6 for obfuscated package: $ cd projects $ mkdir dist6 Then copy package data files to output path: $ cp -a src/mypkg dist6/ Next

and operator design • Pipeline / Stage/ Task / Task Template / Version Control • Logging, monitoring, autoscaling, high availability • Extensibility / Integration • CI/CD examples • Future plan operator design • Pipeline/Stage/Task/Task Template/Version Control/UI generation/Volume... • Logging, monitoring, autoscaling, high availability • Extensibility/Integration • CI/CD examples • Future DevOps Operator DevOps Service DevOps Manager CronJob k8s API MySQL k8s API MySQL MySQL • Pipeline configuration and history in MySQL • Logging in central logging service - ElasticSearch • Metric