When you have dozens or even hundreds of machines to manage, manual just isn’t an option. Software updates, security patches, and changes on this scale require automated tools to handle these important tasks in a way that is timely and consistent. Enter automated configuration software platforms like Chef. If you’ve ever wanted to automate software installation or server configuration across all of your servers with one command, you’re in the right place. In this post, we’ll give you a peek at the Cloud Academy course on Chef on how to get started with Chef.
Whether you’re a DevOps Engineer, Site Reliability Engineer, Systems Administrator, or Developer, this course can help you learn how to use Chef for managing your infrastructure at scale.
Get started with Chef
Before getting started, it’s worth noting that Chef is both the name of the configuration management software you’ll be learning about in this course and the company that created it. For the purposes of this post, we’re referring to Chef the software.
Chef is a platform that allows you to automate the creation, configuration, and management of your infrastructure. This includes installing software, making sure services are running, setting firewall rules, and other similar tasks. For example, you can tell Chef that you want all of your web servers to have the Apache web server installed and running, and Chef will make sure that happens. You can also use Chef to create entire cloud infrastructures. For example, if you need a cloud environment that runs virtual machines in an auto-scaling group behind a load balancer, you could use Chef to create all of that.
How is Chef used?
To give you a better idea of what Chef is capable of, let’s look at how some Chef customers use the platform.
Media and marketing company Gannett was taking days, and in some cases even weeks for their deployments. They didn’t have visibility into what was actually being done, and by whom. Chef came into the picture when an engineer needed to replicate a production AWS environment, and lacked a way to do it consistently. When other engineers saw how he had solved the problem with Chef, it sparked conversations about how to push for more automation. The end result was a push toward DevOps methodologies, and Chef served as the core automation tool.
Deployments that previously took days are now done in minutes because all of the infrastructure changes that they need to make are specified in the code. When you have infrastructure defined as code, it allows you to apply years of software engineering practices to your infrastructure.
This scenario isn’t uncommon. A lot of companies are still doing things manually, and deploying software on an infrequent schedule. Sometimes, all it takes is seeing a potentially better way.
Facebook uses Chef to manage tens of thousands of servers. This means that with one command, Facebook can ensure that thousands of servers are configured as needed, and in exactly the same way. Another great example is the company Riot Games, creators of the game League of Legends. They have servers running 24/7, all around the world, and they use Chef to automate the management of those servers.
As you know, manual efforts do not scale well, but automation does. With Chef, you have a clean and consistent way to automate the management of your infrastructure. Once you have the desired configuration written in code, it doesn’t matter how many servers you need to manage because the same code will be executed on all of them.
Get started with Chef: Chef architecture
Chef has three core components: Workstations, the Chef Server, and nodes. This is how the components work together: The Workstation is where you write the code that specifies how different nodes should be configured. And once that code is written and tested, it can be deployed to the Chef Server. Once the code is on the Chef Server you can instruct the nodes to download the latest code from the Chef Server, and then execute it.
Let’s drill down a little further into each component:
The Workstation is where you write the code that specifies how different nodes should be configured. In Chef terminology, a Workstation is a computer where the Chef Development Kit is installed. It’s where you actually write and test the code that Chef uses to manage servers. It’s also used to interact with the Chef Server. The development kit contains everything required to develop with Chef. Part of the installation is a set of tools that are used to interact with the different components of Chef.
Some of the most important tools are:
The “chef” executable is used to generate different code templates, execute system commands under the context of the Chef Development Kit, as well as install gems into the development kit environment. (RubyGems is a package manager for Ruby, and the individual package is referred to as a gem.) So, the “chef” executable used to help with development related tasks.
The chef-client is a key component of Chef because it’s the driving force behind nodes. It is an executable that can also be run as a service, and it’s responsible for things like registering a node with the Chef Server, synchronizing code from the Chef Server to the node, and making sure the node that is running the chef-client is configured correctly, based on your code. The chef-client is a part of the development kit, in addition to being run on nodes. It can be used to configure any node it runs on. So, if you’re going to test your code, you’ll need the chef-client.
Ohai is required by the chef-client executable. Ohai gathers attributes about a node, such as the operating system and version, network, memory and CPU usage, hostnames, configuration info, and more. It is automatically run by the chef-client, and the information it gathers is accessible to you in code. Having that information allows you to do things like conditionally execute code, or set configuration file values. The attributes that Ohai collects are saved on the Chef server, which allows you to use them to search for nodes based on the values. For example, if you wanted to search for all nodes running inside of AWS, you could search based on the EC2 attributes that Ohai automatically collects, and saves to the Chef Server.
The “knife” is a versatile tool that serves multiple roles. It is used to interact with the Chef Server and includes tasks such as uploading code from a workstation, setting global variables, and a lot more. The knife is used for installing the chef-client on nodes. It can even provision cloud infrastructure.
Kitchen is an important tool that is used for testing the Chef code you develop. Testing is an important requirement for any configuration management software. Chef gives you the power to run commands across your entire infrastructure at the same time. This means that you could update thousands of servers at once. If you’re executing untested code, you run the risk of breaking some of the components of your infrastructure with the push of a button. Kitchen allows you to test your code against one or more virtual machines at the same time.
Berkshelf is a dependency management tool that allows you to download code shared by the Chef community. As you begin to develop with Chef, you’ll find yourself running into problems that have already been solved by other developers. Developers frequently share their work on the Chef Supermarket so you don’t have to develop the functionality for yourself.
Chef uses a client-server architecture, which means there are two components: a server and zero or more clients. The server component of the client-server architecture, in this case, is the Chef Server. It is a central hub where all of your automation code lives. It’s also responsible for knowing about all of the nodes that it manages. At its core, the Chef Server is a RESTful API that allows authenticated entities to interact with the different endpoints.
For the most part, you won’t need to interact with the API directly. At least not in the early stages while you’re still learning Chef. Instead, you will use one of the tools built around the API. There is a web-based management UI that allows you to interact with the API via a browser, or the chef-client, which is the way nodes interact with the API. They grab whatever they need from the server and then perform any configuration locally on the node itself to reduce the amount of work the server needs to perform. Finally, there is the knife command, which you may recall is used to interact with the Chef Server.
Chef refers to clients generically as nodes. Because Chef is capable of managing all kinds of different devices, nodes are any type of machine capable of running the “chef-client” software. It could be a physical server, an on-premise or cloud-based virtual machine, a network device such as a switch or router, and even containers.
In order for Chef to configure a node, the chef-client needs to be installed on the node. The chef-client is responsible for making sure the node is authenticated and registered with the Chef server. The chef-client uses RSA public key-pairs to authenticate between a node and the Chef server. Once a node is registered with the Chef server, it can access the server’s data and configuration information.
So far, we’ve covered Chef at a high level. In our course how to get started with Chef we’ll dig deeper into the Chef Workstation to talk about chef-repo and Cookbooks, and we’ll show you how to create your first recipe, configure the Chef Server for basic development, and a lot more.
By the end of the course you should be able to:
- Understand the use cases for Chef
- Explain the Chef architecture
- Describe the components of Chef
- Create a simple cookbook
Getting Started with Chef is free for Cloud Academy subscribers. If you’re not already a Cloud Academy member, we invite you to try Cloud Academy with our free 7-day trial where you’ll have full access to Cloud Academy video courses, hands-on labs, and quizzes throughout the trial period.
New Content: AWS Terraform, Java Programming Lab Challenges, Azure DP-900 & DP-300 Certification Exam Prep, Plus Plenty More Amazon, Google, Microsoft, and Big Data Courses
This month our Content Team continues building the catalog of courses for everyone learning about AWS, GCP, and Microsoft Azure. In addition, this month’s updates include several Java programming lab challenges and a couple of courses on big data. In total, we released five new learning...
Where Should You Be Focusing Your AWS Security Efforts?
Another day, another re:Invent session! This time I listened to Stephen Schmidt’s session, “AWS Security: Where we've been, where we're going.” Amongst covering the highlights of AWS security during 2020, a number of newly added AWS features/services were discussed, including: AWS Audit...
AWS re:Invent: 2020 Keynote Top Highlights and More
We’ve gotten through the first five days of the special all-virtual 2020 edition of AWS re:Invent. It’s always a really exciting time for practitioners in the field to see what features and services AWS has cooked up for the year ahead. This year’s conference is a marathon and not a...
WARNING: Great Cloud Content Ahead
At Cloud Academy, content is at the heart of what we do. We work with the world’s leading cloud and operations teams to develop video courses and learning paths that accelerate teams and drive digital transformation. First and foremost, we listen to our customers’ needs and we stay ahea...
Excelling in AWS, Azure, and Beyond – How Danut Prisacaru Prepares for the Future
Meet Danut Prisacaru. Danut has been a Software Architect for the past 10 years and has been involved in Software Engineering for 30 years. He’s passionate about software and learning, and jokes that coding is basically the only thing he can do well (!). We think his enthusiasm shines t...
New Content: AWS Data Analytics – Specialty Certification, Azure AI-900 Certification, Plus New Learning Paths, Courses, Labs, and More
This month our Content Team released two big certification Learning Paths: the AWS Certified Data Analytics - Speciality, and the Azure AI Fundamentals AI-900. In total, we released four new Learning Paths, 16 courses, 24 assessments, and 11 labs. New content on Cloud Academy At any ...
New Content: Azure DP-100 Certification, Alibaba Cloud Certified Associate Prep, 13 Security Labs, and Much More
This past month our Content Team served up a heaping spoonful of new and updated content. Not only did our experts release the brand new Azure DP-100 Certification Learning Path, but they also created 18 new hands-on labs — and so much more! New content on Cloud Academy At any time, y...
AWS Certification Practice Exam: What to Expect from Test Questions
If you’re building applications on the AWS cloud or looking to get started in cloud computing, certification is a way to build deep knowledge in key services unique to the AWS platform. AWS currently offers 12 certifications that cover major cloud roles including Solutions Architect, De...
Overcoming Unprecedented Business Challenges with AWS
From auto-scaling applications with high availability to video conferencing that’s used by everyone, every day — cloud technology has never been more popular or in-demand. But what does this mean for experienced cloud professionals and the challenges they face as they carve out a new p...
Constant Content: Cloud Academy’s Q3 2020 Roadmap
Hello — Andy Larkin here, VP of Content at Cloud Academy. I am pleased to release our roadmap for the next three months of 2020 — August through October. Let me walk you through the content we have planned for you and how this content can help you gain skills, get certified, and...
New Content: Alibaba, Azure AZ-303 and AZ-304, Site Reliability Engineering (SRE) Foundation, Python 3 Programming, 16 Hands-on Labs, and Much More
This month our Content Team did an amazing job at publishing and updating a ton of new content. Not only did our experts release the brand new AZ-303 and AZ-304 Certification Learning Paths, but they also created 16 new hands-on labs — and so much more! New content on Cloud Academy At...
Blog Digest: Which Certifications Should I Get?, The 12 Microsoft Azure Certifications, 6 Ways to Prevent a Data Breach, and More
This month, we were excited to announce that Cloud Academy was recognized in the G2 Summer 2020 reports! These reports highlight the top-rated solutions in the industry, as chosen by the source that matters most: customers. We're grateful to have been nominated as a High Performer in se...