This document provides an introduction to using Chef for infrastructure automation and configuration management. It discusses what Chef is, why it is used, and its core components like recipes, resources, attributes, cookbooks, roles, environments, and more. It also covers how to set up a development environment for Chef, write recipes, and test Chef configurations using tools like Chefspec, Foodcritic, and Test Kitchen with Serverspec. The document aims to help readers understand Chef and be able to use it to define reusable infrastructure configurations.
This document discusses Chef, an open source infrastructure automation tool. It provides concise summaries in 3 sentences or less:
Chef is a systems and cloud infrastructure automation framework that makes it easy to deploy servers and applications to any physical, virtual, or cloud location. It uses code and templates to abstractly define how infrastructure should be configured. Chef can be used to configure single machines or entire infrastructures for provisioning, configuration, and integration tasks.
At Rackspace, sysadmins have taken responsiblilty for what was a "developers problem" only a few years ago. What started as a way to solve an image build problem turned into a socially collaborative DevOps community. Come see what Chef started.
This document provides an overview of using Chef and Vagrant to automate server configuration and deployment. It discusses:
- Installing Chef and using tools like chef-apply, chef-solo, and knife to configure servers
- Modeling infrastructure as code using resources, recipes, and cookbooks
- Using community cookbooks and Berkshelf for dependency management
- Provisioning nodes automatically with chef-solo and Vagrant
- Developing cookbooks to deploy applications using tools like the Git resource
Automating your infrastructure with ChefJohn Ewart
This document provides an overview of how to automate infrastructure using Chef:
1. Chef is a tool that helps automate infrastructure management using code and recipes. It can provision, configure, deploy, and orchestrate systems.
2. Chef is used by many large companies and has a large community. It allows managing complex infrastructure on-premises or in the cloud through centralized configuration.
3. The document provides examples of how Chef can be used to provision servers, configure software, manage users/directories/databases, deploy code, and more through resources and recipes. It also discusses Chef concepts like nodes, roles, attributes, and environments.
This document provides an overview of Chef, a configuration management tool. It discusses how Chef works using a client-server model to configure nodes according to their run lists and roles. Cookbooks contain recipes that specify resources to configure nodes. Chef helps ensure consistency across environments like development, testing, and production.
Chef-Zero allows running Chef locally in memory for testing purposes without requiring a real Chef server. It provides the same API and functionality as interacting with a Chef server but runs everything in memory on the local machine. The document then describes how to use Chef-Zero by starting the chef-zero server, configuring knife to point to it, and developing recipes and testing searches locally without needing a real infrastructure. It also covers using the new local mode of chef-client which loads data from the local file system and runs Chef locally in a similar way to Chef-Zero.
Chef Fundamentals Training Series Module 2: Workstation SetupChef Software, Inc.
This document provides instructions for setting up a workstation to manage infrastructure with Chef. It covers installing Chef, creating an account on the hosted Chef server, downloading the starter kit which contains files like cookbooks and roles, and configuring the knife command line tool to connect to the Chef server. The document also gives an overview of the components that make up a Chef-managed infrastructure including nodes, roles, environments and data bags.
This document provides an agenda and overview for a presentation on infrastructure automation with Opscode Chef. The presentation will cover how and why to manage infrastructure with Chef, include a live demo of building a multi-tier infrastructure with Chef, and discuss getting started with Chef including setting up authentication, installing the workstation tools, and uploading a Chef code repository. It will also review key Chef concepts like recipes, roles, and resources and how they enable infrastructure as code.
This document discusses Chef, an open source infrastructure automation tool. It provides concise summaries in 3 sentences or less:
Chef is a systems and cloud infrastructure automation framework that makes it easy to deploy servers and applications to any physical, virtual, or cloud location. It uses code and templates to abstractly define how infrastructure should be configured. Chef can be used to configure single machines or entire infrastructures for provisioning, configuration, and integration tasks.
At Rackspace, sysadmins have taken responsiblilty for what was a "developers problem" only a few years ago. What started as a way to solve an image build problem turned into a socially collaborative DevOps community. Come see what Chef started.
This document provides an overview of using Chef and Vagrant to automate server configuration and deployment. It discusses:
- Installing Chef and using tools like chef-apply, chef-solo, and knife to configure servers
- Modeling infrastructure as code using resources, recipes, and cookbooks
- Using community cookbooks and Berkshelf for dependency management
- Provisioning nodes automatically with chef-solo and Vagrant
- Developing cookbooks to deploy applications using tools like the Git resource
Automating your infrastructure with ChefJohn Ewart
This document provides an overview of how to automate infrastructure using Chef:
1. Chef is a tool that helps automate infrastructure management using code and recipes. It can provision, configure, deploy, and orchestrate systems.
2. Chef is used by many large companies and has a large community. It allows managing complex infrastructure on-premises or in the cloud through centralized configuration.
3. The document provides examples of how Chef can be used to provision servers, configure software, manage users/directories/databases, deploy code, and more through resources and recipes. It also discusses Chef concepts like nodes, roles, attributes, and environments.
This document provides an overview of Chef, a configuration management tool. It discusses how Chef works using a client-server model to configure nodes according to their run lists and roles. Cookbooks contain recipes that specify resources to configure nodes. Chef helps ensure consistency across environments like development, testing, and production.
Chef-Zero allows running Chef locally in memory for testing purposes without requiring a real Chef server. It provides the same API and functionality as interacting with a Chef server but runs everything in memory on the local machine. The document then describes how to use Chef-Zero by starting the chef-zero server, configuring knife to point to it, and developing recipes and testing searches locally without needing a real infrastructure. It also covers using the new local mode of chef-client which loads data from the local file system and runs Chef locally in a similar way to Chef-Zero.
Chef Fundamentals Training Series Module 2: Workstation SetupChef Software, Inc.
This document provides instructions for setting up a workstation to manage infrastructure with Chef. It covers installing Chef, creating an account on the hosted Chef server, downloading the starter kit which contains files like cookbooks and roles, and configuring the knife command line tool to connect to the Chef server. The document also gives an overview of the components that make up a Chef-managed infrastructure including nodes, roles, environments and data bags.
This document provides an agenda and overview for a presentation on infrastructure automation with Opscode Chef. The presentation will cover how and why to manage infrastructure with Chef, include a live demo of building a multi-tier infrastructure with Chef, and discuss getting started with Chef including setting up authentication, installing the workstation tools, and uploading a Chef code repository. It will also review key Chef concepts like recipes, roles, and resources and how they enable infrastructure as code.
Opscode Webinar: Managing Your VMware Infrastructure with ChefChef Software, Inc.
This document provides an overview of how Chef can be used to manage VMware infrastructure. It discusses four main integration points: 1) VMware Fusion/Workstation and Vagrant to provision development VMs locally, 2) knife-esx to manage individual ESXi hosts, 3) knife-vsphere to manage vCenter and provision/configure VMs, and 4) knife-vcloud to manage vCloud Director and deploy vApps. The document emphasizes that Chef allows infrastructure to be defined as code through recipes and cookbooks rather than using VM templates, making infrastructure more flexible and standardized. It concludes with a demo of Vagrant/Fusion and knife-vsphere.
This document provides an introduction to Chef configuration management. It defines key Chef concepts like workstations, nodes, clients, cookbooks and roles. It explains how Chef uses a centralized server and run lists to define and enforce infrastructure configurations. The document demonstrates common Knife commands for managing nodes, environments, roles and cookbooks. It also introduces Berkshelf for managing cookbook dependencies and data bags for storing secure data on the Chef server.
Chef is an open source configuration management tool that emphasizes communication and collaboration between developers and operations. It works best when developers and operations work together to make infrastructure testable, versioned, repeatable and distributable. Chef has major components like the Chef server, Chef client and workstation. It uses concepts like organizations, environments, roles, nodes, recipes and cookbooks to configure nodes.
Chef Fundamentals Training Series Module 1: Overview of ChefChef Software, Inc.
This document provides an overview of Chef fundamentals. It introduces Nathen Harvey as the presenter and outlines objectives to teach attendees how to automate infrastructure tasks with Chef. Key concepts discussed include Chef's architecture, tools, and how to apply its primitives to solve problems. The document explains that learning Chef is like learning a language and emphasizes using Chef to learn it. It provides an agenda covering topics like workstation setup, the node object, cookbooks, and using community cookbooks.
This document discusses the server configuration management tool Chef. It begins by outlining problems with manual system administration and explains that Chef allows for repeatable, version controlled configurations through recipes defined in Ruby. It then describes Chef's client-server architecture and its embrace of modern web technologies. The remainder of the document outlines Chef's components like nodes, attributes, cookbooks and resources and concludes with a link to a demo.
Chef is a systems integration framework that allows you to define the state that your servers should be in and enforce that state. It provides architecture where Chef clients run on servers and talk to a central Chef server. Key principles of Chef include idempotence, provisioning often, treating infrastructure as code, being data-driven, and having thick clients and a thin server. Chef uses resources, providers, recipes, roles, cookbooks, attributes, and data bags to automate server configuration and management.
Chef is an infrastructure automation tool that allows users to define and maintain server configurations. It uses recipes, resources, cookbooks and roles to provision and configure servers. Chef works by installing a Chef client on nodes that runs recipes to configure the node according to cookbooks. The Chef server stores cookbooks and node data. Users can write recipes in Ruby syntax to define what configuration should be applied to nodes.
Managing distributed systems with Chef allows creating complex system topologies through the use of roles, attributes, environments, and databags. Roles define types of nodes, attributes define relationships, environments logically partition infrastructure, and databags store global data. These Chef concepts can be combined to distribute workloads, storage, and traffic across nodes in client-server, master-slave, and cluster configurations that are as complex as needed.
Chef is a configuration management tool that turns infrastructure into code. It allows automating how systems are built, deployed, and managed. With Chef, infrastructure is versioned, tested, and repeatable like application code. The document provides an overview of key Chef concepts including the Chef server, nodes, organizations, environments, cookbooks, roles, and data bags. It also describes the basic Chef environment and components like the workstation, Chef client, and knife tool.
Chef Fundamentals Training Series Module 4: The Chef Client Run and Expanding...Chef Software, Inc.
This document provides an overview of the Chef Fundamentals webinar series module 4. It discusses fixing out of date apt caches using an apt cookbook with an execute resource. It also summarizes the objectives of describing the steps of a chef-client run and the basic security model of Chef. Finally, it covers the node object in Chef including listing, showing details of, and retrieving attributes of nodes directly and via search.
When most people talk about automating infrastructure, they focus on things like consistency, scalability, and flexibility. While fine goals, we recently converted several projects to Chef for both systems AND application deployment, and found that, with a little work, these tools could also help you enable better software quality assurance, load modeling, and even improve resource allocation.
By sharing cookbooks across projects, we were able to standardize practices and eliminate arbitrary differences, while using parameterization to perfectly isolate the special needs of each project. This allowed us to transfer knowledge among staff much more quickly. Pulling in and parameterizing application state – database contents, website assets, uploaded content – allowed us to spin up new environments with as much or as little state as needed. Integrating with Vagrant and Jenkins, we were then able to use chef to treat the entire image – system and application – as a test fixture. As each engineer (ops or dev) has visibility into the whole stack, we can more easily move people between dev and ops, or between projects.
Introduction to Chef - Techsuperwomen SummitJennifer Davis
Interested in speeding up time to production when developing an application? Want to understand how to minimize risk associated with changes? Come learn about infrastructure automation with Chef. In this beginner level workshop, I will teach you the core set of skills needed to implement Chef in your environment whether for work or personal projects. I will cover the basic architecture of Chef and the associated tools that will help you improve your application workflow from design to production.
This document provides an overview and agenda for an introductory training course on testing infrastructure automation code with Chef and its tools. The agenda includes an overview of Chef, discussing resources, describing policies with recipes and cookbooks, using a sandbox for testing, verifying node state, getting faster feedback, writing clean code, and wrapping up. Hands-on labs are emphasized for learning Chef through practice. Questions are encouraged throughout, and breaks will be taken as needed.
Jonathan Weiss presented on infrastructure automation using the configuration management tool Chef. Chef uses Ruby scripts called cookbooks and recipes to configure and provision servers. It can configure multiple servers from a single definition file. Chef supports common infrastructure resources like packages, files, templates and services. It enforces best practices of infrastructure as code and makes deployment repeatable and automated through all environment stages.
Chef Fundamentals Training Series Module 3: Setting up Nodes and Cookbook Aut...Chef Software, Inc.
The document provides instructions for setting up a node and writing a cookbook using Chef. Key points:
- It describes how to install Chef on a node using "knife bootstrap" and configure it to use an Organization.
- It explains that cookbooks contain recipes, files and templates to configure infrastructure using resources like packages, services and files.
- The tutorial walks through creating an "apache" cookbook with recipes to install the Apache package, start the service and enable it to start on boot using package and service resources.
Introduction to Chef: Automate Your Infrastructure by Modeling It In CodeJosh Padnick
Presentation by Josh Padnick given at Desert Code Camp on April 5, 2014. Introduces OpsCode Chef with a special emphasis on learning the key Chef concepts. Also includes tips & tricks and references to best practices.
This document provides an overview of Chef, including its architecture, components, and key concepts. Chef uses a client-server model to manage nodes. The Chef client uses cookbooks, recipes, and resources to configure and maintain nodes according to their roles and environments. It first gathers information about the node using OHAI, then synchronizes and compiles the necessary configuration data before converging the node to the desired state. Knife is used to manage nodes from the command line.
This document discusses best practices for creating self-contained software releases using Berkshelf and Chef. It recommends packaging the software artifact, cookbook artifact, and documentation together. The cookbook artifact contains the cookbooks and dependencies locked to a specific version. Berkflow is introduced as a tool to install and upgrade environments using these packaged artifacts. Following these practices allows for portable, repeatable, and predictable automation.
Mohit Sethi gives a presentation on Chef, an automation and configuration management tool. He defines Chef as a systems integration framework that brings configuration management benefits to infrastructure. Chef allows users to define what state servers should be in and enforces that state. Key principles of Chef include idempotence, provisioning often, treating infrastructure as code, being data-driven, and having thick clients and a thin server.
This document provides an overview of DevOps concepts like DebOps and Chef. It discusses how Chef can be used to manage infrastructure as code through cookbooks, nodes, attributes, templates and other resources. Challenges with traditional infrastructure management like complexity and risk are addressed through DevOps approaches like Chef which enable stable, reliable and auditable infrastructure through self-healing automation and configuration as code. Key Chef concepts like the chef-client, nodes, attributes, templates, files, roles, environments, data bags, and Test Kitchen are defined to explain how infrastructure can be managed from code through the Chef platform.
Opscode Webinar: Managing Your VMware Infrastructure with ChefChef Software, Inc.
This document provides an overview of how Chef can be used to manage VMware infrastructure. It discusses four main integration points: 1) VMware Fusion/Workstation and Vagrant to provision development VMs locally, 2) knife-esx to manage individual ESXi hosts, 3) knife-vsphere to manage vCenter and provision/configure VMs, and 4) knife-vcloud to manage vCloud Director and deploy vApps. The document emphasizes that Chef allows infrastructure to be defined as code through recipes and cookbooks rather than using VM templates, making infrastructure more flexible and standardized. It concludes with a demo of Vagrant/Fusion and knife-vsphere.
This document provides an introduction to Chef configuration management. It defines key Chef concepts like workstations, nodes, clients, cookbooks and roles. It explains how Chef uses a centralized server and run lists to define and enforce infrastructure configurations. The document demonstrates common Knife commands for managing nodes, environments, roles and cookbooks. It also introduces Berkshelf for managing cookbook dependencies and data bags for storing secure data on the Chef server.
Chef is an open source configuration management tool that emphasizes communication and collaboration between developers and operations. It works best when developers and operations work together to make infrastructure testable, versioned, repeatable and distributable. Chef has major components like the Chef server, Chef client and workstation. It uses concepts like organizations, environments, roles, nodes, recipes and cookbooks to configure nodes.
Chef Fundamentals Training Series Module 1: Overview of ChefChef Software, Inc.
This document provides an overview of Chef fundamentals. It introduces Nathen Harvey as the presenter and outlines objectives to teach attendees how to automate infrastructure tasks with Chef. Key concepts discussed include Chef's architecture, tools, and how to apply its primitives to solve problems. The document explains that learning Chef is like learning a language and emphasizes using Chef to learn it. It provides an agenda covering topics like workstation setup, the node object, cookbooks, and using community cookbooks.
This document discusses the server configuration management tool Chef. It begins by outlining problems with manual system administration and explains that Chef allows for repeatable, version controlled configurations through recipes defined in Ruby. It then describes Chef's client-server architecture and its embrace of modern web technologies. The remainder of the document outlines Chef's components like nodes, attributes, cookbooks and resources and concludes with a link to a demo.
Chef is a systems integration framework that allows you to define the state that your servers should be in and enforce that state. It provides architecture where Chef clients run on servers and talk to a central Chef server. Key principles of Chef include idempotence, provisioning often, treating infrastructure as code, being data-driven, and having thick clients and a thin server. Chef uses resources, providers, recipes, roles, cookbooks, attributes, and data bags to automate server configuration and management.
Chef is an infrastructure automation tool that allows users to define and maintain server configurations. It uses recipes, resources, cookbooks and roles to provision and configure servers. Chef works by installing a Chef client on nodes that runs recipes to configure the node according to cookbooks. The Chef server stores cookbooks and node data. Users can write recipes in Ruby syntax to define what configuration should be applied to nodes.
Managing distributed systems with Chef allows creating complex system topologies through the use of roles, attributes, environments, and databags. Roles define types of nodes, attributes define relationships, environments logically partition infrastructure, and databags store global data. These Chef concepts can be combined to distribute workloads, storage, and traffic across nodes in client-server, master-slave, and cluster configurations that are as complex as needed.
Chef is a configuration management tool that turns infrastructure into code. It allows automating how systems are built, deployed, and managed. With Chef, infrastructure is versioned, tested, and repeatable like application code. The document provides an overview of key Chef concepts including the Chef server, nodes, organizations, environments, cookbooks, roles, and data bags. It also describes the basic Chef environment and components like the workstation, Chef client, and knife tool.
Chef Fundamentals Training Series Module 4: The Chef Client Run and Expanding...Chef Software, Inc.
This document provides an overview of the Chef Fundamentals webinar series module 4. It discusses fixing out of date apt caches using an apt cookbook with an execute resource. It also summarizes the objectives of describing the steps of a chef-client run and the basic security model of Chef. Finally, it covers the node object in Chef including listing, showing details of, and retrieving attributes of nodes directly and via search.
When most people talk about automating infrastructure, they focus on things like consistency, scalability, and flexibility. While fine goals, we recently converted several projects to Chef for both systems AND application deployment, and found that, with a little work, these tools could also help you enable better software quality assurance, load modeling, and even improve resource allocation.
By sharing cookbooks across projects, we were able to standardize practices and eliminate arbitrary differences, while using parameterization to perfectly isolate the special needs of each project. This allowed us to transfer knowledge among staff much more quickly. Pulling in and parameterizing application state – database contents, website assets, uploaded content – allowed us to spin up new environments with as much or as little state as needed. Integrating with Vagrant and Jenkins, we were then able to use chef to treat the entire image – system and application – as a test fixture. As each engineer (ops or dev) has visibility into the whole stack, we can more easily move people between dev and ops, or between projects.
Introduction to Chef - Techsuperwomen SummitJennifer Davis
Interested in speeding up time to production when developing an application? Want to understand how to minimize risk associated with changes? Come learn about infrastructure automation with Chef. In this beginner level workshop, I will teach you the core set of skills needed to implement Chef in your environment whether for work or personal projects. I will cover the basic architecture of Chef and the associated tools that will help you improve your application workflow from design to production.
This document provides an overview and agenda for an introductory training course on testing infrastructure automation code with Chef and its tools. The agenda includes an overview of Chef, discussing resources, describing policies with recipes and cookbooks, using a sandbox for testing, verifying node state, getting faster feedback, writing clean code, and wrapping up. Hands-on labs are emphasized for learning Chef through practice. Questions are encouraged throughout, and breaks will be taken as needed.
Jonathan Weiss presented on infrastructure automation using the configuration management tool Chef. Chef uses Ruby scripts called cookbooks and recipes to configure and provision servers. It can configure multiple servers from a single definition file. Chef supports common infrastructure resources like packages, files, templates and services. It enforces best practices of infrastructure as code and makes deployment repeatable and automated through all environment stages.
Chef Fundamentals Training Series Module 3: Setting up Nodes and Cookbook Aut...Chef Software, Inc.
The document provides instructions for setting up a node and writing a cookbook using Chef. Key points:
- It describes how to install Chef on a node using "knife bootstrap" and configure it to use an Organization.
- It explains that cookbooks contain recipes, files and templates to configure infrastructure using resources like packages, services and files.
- The tutorial walks through creating an "apache" cookbook with recipes to install the Apache package, start the service and enable it to start on boot using package and service resources.
Introduction to Chef: Automate Your Infrastructure by Modeling It In CodeJosh Padnick
Presentation by Josh Padnick given at Desert Code Camp on April 5, 2014. Introduces OpsCode Chef with a special emphasis on learning the key Chef concepts. Also includes tips & tricks and references to best practices.
This document provides an overview of Chef, including its architecture, components, and key concepts. Chef uses a client-server model to manage nodes. The Chef client uses cookbooks, recipes, and resources to configure and maintain nodes according to their roles and environments. It first gathers information about the node using OHAI, then synchronizes and compiles the necessary configuration data before converging the node to the desired state. Knife is used to manage nodes from the command line.
This document discusses best practices for creating self-contained software releases using Berkshelf and Chef. It recommends packaging the software artifact, cookbook artifact, and documentation together. The cookbook artifact contains the cookbooks and dependencies locked to a specific version. Berkflow is introduced as a tool to install and upgrade environments using these packaged artifacts. Following these practices allows for portable, repeatable, and predictable automation.
Mohit Sethi gives a presentation on Chef, an automation and configuration management tool. He defines Chef as a systems integration framework that brings configuration management benefits to infrastructure. Chef allows users to define what state servers should be in and enforces that state. Key principles of Chef include idempotence, provisioning often, treating infrastructure as code, being data-driven, and having thick clients and a thin server.
This document provides an overview of DevOps concepts like DebOps and Chef. It discusses how Chef can be used to manage infrastructure as code through cookbooks, nodes, attributes, templates and other resources. Challenges with traditional infrastructure management like complexity and risk are addressed through DevOps approaches like Chef which enable stable, reliable and auditable infrastructure through self-healing automation and configuration as code. Key Chef concepts like the chef-client, nodes, attributes, templates, files, roles, environments, data bags, and Test Kitchen are defined to explain how infrastructure can be managed from code through the Chef platform.
This document provides an overview of Chef, an automation framework that enables infrastructure as code. It discusses the core building blocks of Chef including cookbooks, recipes, resources, roles, and environments. Cookbooks contain recipes, which are made up of resources that define the desired state of systems. Roles and environments allow for reusable definitions and pinning of attributes across infrastructure. The document also briefly touches on common patterns for using these building blocks effectively, such as wrapper cookbooks, pinning attributes to environments instead of roles, and using base roles.
This document provides an introduction to a Chef Jumpstart session. It includes details about the instructor Kimball Johnson and expectations for what attendees will learn. Attendees are asked to introduce themselves and spend 15 minutes getting to know each other. The document then provides an overview of what Chef is, including its core components, architecture, tools, and basic troubleshooting methods.
This document provides an overview of learning Chef infrastructure automation. It discusses that after taking the course, students will understand DevOps and Chef's role in infrastructure automation. The course teaches how to deploy and automate node configurations using recipes and cookbooks. It also covers the Chef workflow and how to use Chef to automate infrastructure deployment.
InSpec is an open source testing framework for infrastructure with a human-readable language for specifying compliance, security, and other policy requirements. Easily integrate automated tests that check for advherence to policy into any stage of your deployment pipeline.
1. The document discusses how OpsWorks has made the presenter's life easier as a developer who also handles operations. OpsWorks provides hosted infrastructure on AWS for deploying applications using Chef recipes.
2. It describes the main structures in OpsWorks - stacks, layers, apps, and instances. Stacks represent entire applications, layers define different parts like web servers, apps contain specific settings, and instances define the servers.
3. The presenter discusses using OpsWorks with Ruby on Rails applications, including customizing Chef recipes, deploying code, and integrating other AWS services for monitoring, security, and scaling. While documentation can be confusing, OpsWorks provides an easy way for developers to manage operations.
This document provides an overview of using Chef to manage server environments. It describes Chef as a client-server system that uses declarative recipes to define the desired end state of a server rather than specifying step-by-step configuration processes. Key concepts covered include cookbooks, recipes, attributes, data bags, the Chef server, Chef client, Ohai, and Knife. The document also discusses development tools like Berkshelf and Vagrant, and outlines the typical development cycle of creating a cookbook, developing and testing it, uploading the recipe to the Chef server, and executing it on client servers.
This document discusses Chef Cookbook workflow testing. It begins with an introduction to Chef and its core components like resources, recipes, and cookbooks. It then emphasizes the importance of testing infrastructure code like Chef cookbooks. Various testing techniques for Chef cookbooks are presented, including linting with Rubocop, style checking with FoodCritic, unit testing with ChefSpec, and integration testing using Test Kitchen. The document stresses treating infrastructure code like any other codebase by implementing practices like version control, continuous integration, and separation of concerns. It provides examples of implementing some of these testing techniques and outlines an example pipeline for testing and releasing Chef cookbooks.
This document discusses configuring Nagios monitoring with Chef automation. It begins with an overview of Bryan McLellan and why automation is important for operations. It then provides an introduction to Chef including its principles, basics like nodes, roles, and recipes, and how resources and providers work. It demonstrates a basic Apache recipe and use of search in Chef. The summary highlights the key topics covered in the document regarding automating Nagios configuration with Chef.
The document discusses how infrastructure configuration is typically modeled across multiple layers including datacenters, zones, logical stages, hostgroups, and their intersections. It introduces Chef as a tool that can be used to model these layers and intersections through primitives like organizations, nodes, roles, environments, data bags, and cookbooks. Examples are given of how policies like restricting SSH access and configuring a mail relay can be implemented in Chef roles and environments to enforce the policies across the infrastructure.
AWS re:Invent 2016: Configuration Management in the Cloud (DEV305)Amazon Web Services
To ensure that your application operates in a predictable manner in both your test and production environments, you must vigilantly maintain the configuration of your resources. By leveraging configuration management solutions, Dev and Ops engineers can define the state of their resources across their entire lifecycle. In this session, we will show you how to use AWS OpsWorks, AWS CodeDeploy, and AWS CodePipeline to build a reliable and consistent development pipeline that assures your production workloads behave in a predictable manner.
DOO-009_Powering High Velocity Development for your Infrastructuredecode2016
Chef is a leader in automation for DevOps that provides a platform to automate infrastructure and applications. The Chef platform allows teams to treat infrastructure as code by defining policies and configurations in code that can be versioned, tested, and deployed. This enables teams to collaborate safely at a high velocity. The Chef platform includes tools for test-driven infrastructure development, integration with cloud platforms like Azure, and ensuring compliance and security.
Chef is an automation platform that transforms infrastructure into code. It uses recipes written in Ruby and Erlang languages to configure, deploy, and manage applications across networks. Chef includes a server to store configuration data and recipes, workstations where developers write recipes, and nodes (physical or virtual machines) that are configured by recipes. Key components of Chef include cookbooks (which contain recipes, attributes, files, and templates), nodes, Ohai (which collects node data), and a workflow involving verifying, building, accepting, and delivering changes through shared pipelines.
Node object and roles - Fundamentals Webinar Series Part 3Chef
Part 3 of a 6 part series introducing you to the fundamentals of Chef.
This session includes:
* Node object
* Chef roles
After viewing this webinar you will be able to:
- Explain what the node object represents in Chef
- Show details about a node
- Describe what node attributes are
- Retrieve a node attribute
- Describe where and how attributes are set
- Explain the attribute merge order and precedence rules
- Declare an attribute with a recipe and set its value
- Explain what Roles are, and how they are used to provide -larity
- Discuss the Role JSON DSL
- Explain how merge order affects the precedence hierarchy
Video of this webinar can be found at the following URL
https://www.youtube.com/watch?v=nQogf89hgnM&list=PL11cZfNdwNyPnZA9D1MbVqldGuOWqbumZ
This document discusses how to deploy OpenStack using Opscode Chef. It provides an overview of Chef and how it can be used to configure OpenStack infrastructure as code. Key topics covered include the Chef framework, tools, API, community, OpenStack cookbooks on GitHub, common resources like recipes, roles and data bags, and a roadmap for improving support of OpenStack components like Nova and Swift.
- AWS OpsWorks for Chef Automate provides a fully managed Chef Automate server on AWS to help with infrastructure configuration management.
- It allows users to easily create an AWS managed Chef server in about 10 minutes to define infrastructure using code.
- The service handles backups, security updates, and Chef software updates automatically so users can focus on writing cookbooks and recipes.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
7. Goals
• Understand what Chef is and why its used
• Be able to define the core components and constructs
of Chef
• Understand methods to test Chef-driven infrastructure
• Understand how Chef can be enable creation sandbox
local development environments that mimic production
• Be thoroughly tired of culinary terminology and
metaphors
8. What is Chef?
• A tool for automating and managing the configuration of
infrastructure
• Types of infrastructure:
• Files, Users, Services, Packages, Mounts, and more…
• Facilitates infrastructure as code, giving the computing
environment attributes similar to any software project
• It is versionable
• It is repeatable
• It is testable
9. Why use Chef?
• Consistency
• Humans are bad at doing the same task repeatedly, irrespective to the quality or
completeness of documentation.
• Automation reduces opportunity for error.
• Efficiency
• Manage change at scale
• Increase change velocity
• Create an organization where change is embraced, not feared.
• Reproducibility
• Infrastructure configuration is kept in source configuration management tool
• Backup data + new servers + Chef cookbooks = New infrastructure
12. Starting with Recipes
• A recipe is a fundamental building block of Chef
• Authored using Ruby / Chef’s Ruby-based DSL
• A collection of resources to manage
• A resource is a statement of configuration policy
• Describes the state for a configuration item
• Chef has a variety of built-in resources that cover the
most common actions, but is extensible to allow custom
resource creation
16. So, What Just Happened?
• Used the Chef file resource to create a file with contents we defined
• That code is Ruby using the Chef DSL
• file resource takes a string parameter specifying the path of the
file
• Passed the file resource a Ruby block contained inside the do …
end pair
• The content property passed to the file resource specifies what
the file’s contents should be
• Used Test Kitchen to build a Vagrant box, running CentOS 6.6,
which converged the recipe using chef-client and built the resource
17. Converge?
• Convergence refers to the process of Chef bringing the
system into compliance with a stated policy
• Policy is conveyed via the defined resources
• Policy = “What the state of the system should be”
• Chef handles “how” to place resources in convergence
and abstracts away platform or environment-specific
differences
• Resources have underlying providers which are called
dependent on platform
18. Common Resources
• File Management
• file, cookbook_file, remote_file, template, link, directory, remote_directory
• Package Management
• package: providers for common package management systems (yum, apt, Mac OS/X, Ruby Gems,
Python pips / easy_install)
• User Management
• user and group: define local users, SSH keys, shells, home directories, etc.
• Services
• service allows defining services to be enabled on boot, restarted, stopped, or notified upon change of
another resource (i.e. configuration file change).
• Running ad-hoc programs
• execute: run a command (***)
• script: run a pre-defined script (Bash, Perl, Python, Ruby) (***)
19. Idempotence
• Chef’s core resources are idempotent
• If the resource’s current state is equal to its desired
state, it is skipped
• Repeatedly re-running the chef-client on a
convergent node will do nothing
• By definition, arbitrary commands and scripts (execute
and script) are NOT idempotent
• They will run every time the chef-client runs, unless…
20. Conditional Execution with
Guards
• All resources support the following attributes:
• creates file: Specifies that the execution of the resource
creates file. The resource will not be run if file is present.
• not_if: The resource will not be executed if the condition
evaluates to true / truthy.
• only_if: The resource will only be executed if the
condition evaluates to true / truthy.
• not_if and only_if can be passed either a command to
execute to determine the condition, or, a Ruby block
21. Guard Examples
execute "setenforce 1" do
not_if "getenforce | grep -qx 'Enforcing'"
end
execute "apt-get update" do
not_if { ::File.exists?('/var/lib/apt/periodic/
update-success-stamp') }
end
22. So…
• If you’re scoring at home, we’ve accomplished two
of our goals now…
✓ Understand what Chef is and why it used
✓ Configured your local development environment
to author and test Chef cookbooks
• We’ve also introduced some core concepts such
as recipes, resources, idempotency, convergence,
and Test Kitchen
24. What is a Cookbook?
• Think of a cookbook as a package for recipes.
• One place where the cooking analogy sort of
makes sense.
• You might bundle all the recipes to cook Italian
food into a single cookbook.
• Similarly, you might bundle the recipes to install,
configure, or deploy a web server, database, or
application each into their own cookbooks.
26. Attributes
• attributes contain your own custom variables which can be used and
referenced within your recipes.
• Commonly used to configure a cookbook.
• Can be overridden (there’s a precedence scheme; we’ll get there…)
• Examples: the user and group a file should be owned by, the version
of an application to install, the path where an application should be
installed.
• The attributes directory may contain multiple .rb files each containing
attribute definitions. Files are read alphabetically.
• Convention is, in most cases, to store all attributes in attributes/default.rb
27. Node Attributes
• Chef compliments the attributes you defined with automatic attributes
• Collected by a tool called ohai at the start of each chef-client run
• Examples:
• Platform details
• Network usage
• Memory usage
• CPU data
• Kernel data
• Host names
• Fully qualified domain names
• Other configuration details
• These attributes are also reported back to the Chef Server can be used as search criteria
28. Let’s Start a Cookbook!
• Cookbook goals:
• Install Apache (httpd)
• Start the Apache service
• Make it run when the server boots
• Write out a static home page
29. Chef Community
• Chef Supermarket (http://supermarket.chef.io) is the community site for
cookbooks
• Open-source cookbooks anyone can use
• Most common infrastructure has very good, well documented, well tested,
throughly used community cookbooks
• There is no namespacing of cookbooks
• Always a good idea to preface your internal cookbook names to avoid
namespace collisions with community cookbooks
• Example: Use leadid_apache instead of apache
• Berkshelf, a dependency resolver for Chef, can automate downloading
community cookbooks for your use
31. Chef Server
• Centralized store for configuration data about
infrastructure
• Cookbooks
• Nodes
• Roles
• Environments
• knife provides a command line interface to interact with the
Chef Server from your workstation
32. Bootstrapping Nodes
• Bootstrapping refers to the process by which a remote system is prepared to be
managed by Chef
• knife bootstrap
• Uses a validator private key
• knife accesses the node via SSH using credentials you supply, transfers
the validator, installs and configures chef-client
• chef-client reaches back to the Chef Server, authenticating with the
validator
• From this point forward, node uses its own client key and the validator can
(and should) be removed from the node
• There’s other ways to do this, but this is the most common and straightforward
33. Roles
• Roles are a way of classifying the different types of services in your infrastructure
• Web Servers
• Database Servers
• Caches
• Contain a run_list
• An ordered list of recipes and other roles that are run that exact order by chef-clients
• During a chef-client, references to the role will be expanded to the recipes specified
in the role’s run_list
• Contain role-level attribute overrides
• Conveyed in JSON files
36. Role Cookbooks
• Changes made to a role are immediately reflected across the entire infrastructure
• No versioning of roles
• Roles are organization-wide, across all environments
• Say someone changes the run_list contained in a role file erroneously
• The next chef-client run on all nodes having that role will put the bad run_list in place
• Across all environments that have nodes using that role
• A common pattern is to build a role cookbook
• Cookbooks are versioned
• Role run list is set using include_recipe
• http://realityforge.org/code/2012/11/19/role-cookbooks-and-wrapper-cookbooks.html
37. Environments
• Environments are a way of grouping infrastructure
to model the phases of your software development
lifecycle
• Environments contain:
• Environment-level attribute overrides
• Version constraints (“pins”)
39. Attributes
• Now that we’ve talked about all the pieces, let’s talk about the
attributes, precedence, and overrides
• You’ve seen multiple ways attributes can be set / generated
• Ohai / Automatic
• Cookbooks
• Roles
• Environments
• If multiple levels set the same attribute, who wins?
44. You Test Your Code, Right?
• Chef is no different than any software project
• Automation makes infrastructure configuration
more repeatable and reliable, and therefore, more
testable
• You saw the utility of Test Kitchen to manually verify
what did happen was what you expected to
happen
• Now, let’s automate that verification!
45. Linting / Style
• Foodcritic is a Chef linting tool to check cookbooks for common
problems
• Style, Correctness, Syntax, Best Practices, Common Mistakes,
and Deprecations
• Rubocop is a general Ruby linting tool
• Enforce Ruby style conventions and best practices
• Help every member of the team author similarly structured code;
set expectations
• Rubocop can automatically fix most common, non-complex
offenses
46. Unit Testing
• Chefspec (http://www.github.com/sethvargo/
chefspec) is used to simulate the convergence of
resources on a node
• Runs the chef-client in memory on the local
machine
• An extension of RSpec, a BDD framework for
Ruby
• Is the fastest way to test resources and recipes
47. Chefspec
• Chefspec is valuable
• It is very fast
• Quickly lets us test logical execution paths in our cookbooks
• Uses fauxhai to generate fake node attributes so you can test how your
cookbook behaves on different platforms
• Test your cookbook and make assertions about its behavior
• Stub things outside your cookbook and control their actions (Ruby
modules, classes, node attributes, etc)
• So, Chefspec is an appropriate unit level tool because it tests in isolation
of external factors… what about integration level?
48. Serverspec
• Serverspec allows us to make assertions on the
state of a fully configured machine
• Test whether services are running, ports are
open, commands return correct output, etc
• Run on the converged infrastructure, as laid out
in Test Kitchen configuration
49. Test Kitchen and Serverspec
• Look again at .kitchen.yml
• There are platforms and there are suites
• Suites are test suites
• Tests that should be run to verify them are under
test/integration/<suite_name>
• These tests use Serverspec to allow you to make
assertions about the converged platform
56. Building a Server
• Build an AMI using Chef and Packer
• Place this AMI in an AWS Launch Configuration
and associate with an Autoscale Group
• Use AWS User Data scripts to start Chef Client at
boot and associate with an environment
• Launch!
58. Infrastructure Change?
• Do the same thing again!
• Run another Packer run, build a new Launch
Configuration, and make a new Autoscale Group
• Launch and associate with load balancer
• Throw away the old!
59. Further Thoughts
• Full immutability is unachievable
• Chef and configuration management is not
eliminated when building your infrastructure in an
immutable fashion
• It is still a needed component!
61. Chef References
• http://docs.chef.io - Chef Documentation
• Chef Bob Ross - New Youtube Series by Franklin Webber
• https://www.youtube.com/watch?v=FOYc_SGWE-0
• Chef Fundamentals Webinar Series
• https://learn.chef.io/skills/fundamentals-series-week-1/
• Little dated now, but largely effective at introducing the core concepts
• “Learning Chef: A Guide to Configuration Management and Automation”
• http://shop.oreilly.com/product/0636920032397.do
• By Mischa Taylor and Seth Vargo
• “Test-Driven Infrastructure with Chef, 2nd Edition”
• http://shop.oreilly.com/product/0636920030973.do
• Good book, but examples don’t work
• “Customizing Chef: Getting the Most Out of Your Infrastructure Automation”
• http://shop.oreilly.com/product/0636920032984.do
64. Back to Test Kitchen
• Test Kitchen is a tool to create sandbox environments
to develop and test Chef stuffs
• Supports drivers allowing Kitchen to create
infrastructure for this purpose in a number of manners
• Vagrant (most common), Docker, Amazon EC2,
OpenStack, RackSpace, and so on…
• Test Kitchen itself is merely a framework for managing
the state of the systems built via the drivers and running
tests
65. Kitchen Command Overview
• kitchen init: Add Test Kitchen support to a project.
• kitchen list: Display information about the available Test Kitchen instances.
• kitchen create: Start a Test Kitchen instance, if it not already running.
• kitchen converge: Uses the chef-client on the instance to run recipes.
• kitchen setup: Prepares to run automated tests (installs busser).
• kitchen verify: Runs automated tests on an instance
• kitchen test: Runs a full test cycle on an instance, suitable for use within a
CI pipeline. Performs destroy, create, converge, setup, verify, and destroy.
• kitchen login: SSH log in to an instance.
66. Test Kitchen Configuration
• Test Kitchen Configuration conveyed by the .kitchen.yml file
• YAML file format
• Whitespace matters!
• Three hyphens at start denotes beginning of a YAML file.
• Comments are a hash symbol.
• Two fundamental kinds of data
• Key-value pair
• List
69. README.md
• Good software requires documentation!
• Markdown format
• Generators put together a skeleton with major section headings present
• Overview
• Dependencies
• Usage
• Examples
• Attributes
• Testing
70. chefignore
• Stuff that should be ignored when the cookbook is
uploaded to the Chef Server
• Editor swapfiles
• Source control related files
• Helps reduce unnecessary clutter when nodes download
cookbooks
• Globbing supported
• Comment lines begin with #
71. metadata.rb
• Every cookbook must have a metadata.rb
• Conveys information about the cookbook to the Chef
Server
• Version
• Dependencies
• Supported Platforms
• Cookbook Name
72. templates
• Holds Chef templates used within the cookbook
• Uses Embedded Ruby
• Ruby code is evaluated when the template is
rendered on the node
73. Attributes
• attributes contain your own custom attributes which can be used and
referenced within your recipes.
• Commonly used to configure a cookbook.
• Can be overridden (there’s a precedence scheme; we’ll get there…)
• Examples: the user and group a file should be owned by, the version
of an application to install, the path where an application should be
installed.
• The attributes directory may contain multiple .rb files each containing
attribute definitions. Files are read alphabetically.
• Convention is, in most cases, to store all attributes in attributes/default.rb
74. Node Attributes
• Chef compliments the attributes you defined with automatic attributes
• Collected by a tool called ohai at the start of each chef-client run
• Examples:
• Platform details
• Network usage
• Memory usage
• CPU data
• Kernel data
• Host names
• Fully qualified domain names
• Other configuration details
• These attributes are also reported back to the Chef Server can be used as search criteria
• More later…
78. Static Webpage
• In default.rb
template '/var/www/html/index.html' do
source 'index.html.erb'
mode '644'
end
• In templates/default/index.html.erb
Welcome to LeadiD!
Hostname: <%= node['hostname'] %>
79. Verify Success
• In .kitchen.yml
---
driver:
name: vagrant
network:
- ["forwarded_port", {guest: 80, host: 8095}]
• Open http://localhost:8095 in your web browser. Success?