Drupal core is built with performance and scalability in mind. It is Fast by Default. But performance is often a by-product of your specific application, and depending on how you're using Drupal, you can further optimize your site using contributed modules. These modules range from debugging utilities to cache-related modules.
It's worthwhile to have a general idea of what's available in the contributed module space. And, when you need to address your site's unique performance needs, it helps if you already know about existing solutions.
In this tutorial we'll:
- Look at a few popular contributed modules that improve Drupal's performance
- Learn about the benefits these modules may provide to your site
- Provide tips on how to configure these modules
By the end of this tutorial you should be able to list some popular performance related Drupal modules and describe their use case.
Apache Bench (ab) is a tool that comes with the commonly used Apache HTTP server. It is designed to give you an impression of how your current Apache installation performs. It will work for any HTTP server, not just Apache. Apache Bench shows you how many requests per second your server can serve. This metric is in part a measure of how long it takes Drupal (PHP) to process the request and create a response. While there are other things that the HTTP server does too, executing PHP is by far the most expensive when serving Drupal pages.
Therefore, Apache Bench helps profile your PHP code for new features, patches after their application, and PHP libraries used on the site. You can quickly compare before and after metrics as an indicator of the scale of the impact a change has.
In this tutorial, we'll:
- Learn how to run the Apache Bench tool on our local environment
- Learn to interpret the result of the tests
By the end of this tutorial, you should know how to benchmark and profile your local Drupal installation using Apache Bench (ab).
Sites evolve over time. We're constantly adding and removing modules, modifying content, authoring custom plugins, and changing design elements. All of these changes impact our application's performance -- some more so than others. But if you're not measuring it, you can't know when your site inadvertently gets slower or by how much.
If you are responsible for a site's performance, it might be good to look into benchmarking it and establishing a performance budget early on, then monitor it on an ongoing basis. Many tools, paid and free, allow measuring key web performance indicators and backend code and server performance.
One-time measurements can be useful for immediate debugging, or when figuring out if that big new feature is going to have a negative impact on performance. But for long-term projects, it's helpful to have known baseline values and an established performance budget to see whether your performance improves or declines over time with every new feature.
Establishing the baseline (performance budget) and comparing future measurements is called site performance benchmarking.
In this tutorial, we'll:
- Learn the basics concepts of benchmarking
- Learn a benchmarking process and best practices
- List some commonly used tools for benchmarking Drupal
By the end of this tutorial, you should understand the concept of a performance budget, know when to benchmark your site, and list some tools available to help.
Pantheon uses its Object Cache and Global CDN services to help improve the performance of your Drupal sites. Using them requires a few steps to enable the services and configure your Drupal site to use them effectively.
Many performance optimizations are hosting-provider-specific. This tutorial covers some Pantheon-specific methods for increasing your Drupal site's performance. It's only relevant if your site is hosted on Pantheon. For other common providers, and generic performance tuning tips, refer to other tutorials in this course.
In this tutorial we'll:
- Learn how to configure and use Pantheon's Object Cache to speed up Drupal caching
- Learn about the use case for Pantheon's Advanced Page Cache module
- Install and configure the Advanced Page Cache module for better Drupal caching of sites hosted on Pantheon
By the end of this tutorial you should be able to explain when and why you would want to use Pantheon's Object Cache and Advanced Page Cache modules, and how they can help speed up Drupal sites hosted on Pantheon.
Over the history of the Internet, the single Page Speed metric evolved into various parameters that influence user experience. These metrics are commonly referred to as Core Web Vitals. Together, they paint a comprehensive picture of the performance of your site from an end user's perspective. These metrics are considered by Google and other search engines when assigning SEO scores.
Knowing what these metrics are, and what they are intended to measure, is an important part of creating a performance profile for your site. This knowledge can also help you find solutions for common performance issues.
In this tutorial, we'll:
- Define the metrics that make up the Core Web Vitals
- Point to additional resources where you can learn more about each metric
By the end of this tutorial, you should know which performance metrics are considered Core Web Vitals and what aspects of site performance they cover.
New Relic is a monitoring service that provides insights into your application stack from front-end performance to the server and infrastructure metrics. New Relic uses a combination of aggregating server logs, and pre-built (or custom) monitors to track the metrics that are most important to your application. The collected data can be organized into custom dashboards, and alerts can be set up and issued per customizable conditions.
In this tutorial, we'll:
- Learn about different New Relic modules and their purpose
- Review some default dashboard components and reports
- Discuss how to use the information in New Relic to understand the health of your Drupal application
By the end of this tutorial, you should understand the basics of using New Relic and the insights it offers to monitor and improve the performance of your Drupal site.
Performance profiling allows you to see an overview of how your Drupal application stacks up against your users' needs and business requirements. A good profile will help you understand where the performance bottlenecks are and where you should focus your efforts in order to achieve the best results when optimizing your application.
There are many profiling tools available to help you analyze your Drupal site's performance. Some are free -- like the browser’s built-in development tools, the Lighthouse Chrome extension, and XHProf. Some are paid -- like New Relic, Blackfire, and other profiling SaaS solutions.
In this tutorial we'll:
- Outline the general concepts and goals of performance profiling
- List some available profiling tools and their features
By the end of this tutorial you should be able to describe what performance profiling is, and list the tools commonly used to establish a performance profile for a Drupal site.
When your site is experiencing performance issues, one way to pinpoint the cause is to use profiling tools. Before you can fix the issue you have to be able to identify what's causing it. All profiling tools do roughly the same thing: they tell you what code is called during the request and how much time is spent executing it. This helps to identify the slowest code and dig deeper into the cause. Once the cause is determined you can start figuring out how to optimize the code.
For this tutorial, we’ll use New Relic as a profiling tool, but you can apply a similar methodology using the profiling tool of your choice.
In this tutorial, we'll:
- Learn how to identify and analyze slow transactions
- Look at common things to check for while profiling
- Cover some questions you should ask when looking at profiling data to help track down the slow code
By the end of this tutorial, you should know how to profile a Drupal site (specifically with New Relic) to find performance bottlenecks.
Drupal site performance relies heavily on caching. Optimal caching (and invalidation) requires that each page is rendered with the correct cacheable metadata. This metadata allows for intelligent caching -- but when something isn't working correctly, it can be tricky to figure out where exactly the metadata was generated from.
When debugging Drupal cache issues, you're usually trying to answer 1 of 2 primary questions:
- Why is this cached? If the information gets stale, why isn’t it updated?
- Why is this not cached? And why is our cache hit rate low?
The Drupal cache system consists of many layers, each of which may contribute to the problem. This tutorial focuses on debugging the Drupal application cache layer, and strategies for debugging Varnish. Given that most external to Drupal layers rely on the use of HTTP headers for caching, you should be able to use similar techniques to those used for debugging Varnish.
In this tutorial, we'll:
- Learn strategies for debugging the Drupal application cache and render cache
- Share strategies for debugging low hit rates when using Varnish
By the end of this tutorial, you should know how to enable and use various cache debugging mechanisms in Drupal to help identify problems in your site performance and resolve them.
Server scaling is the process of adding more resources (CPU, memory, disk space, etc.) to a server (or servers) to help with performance. This might be a single server, or a cluster of different machines. When we talk about server scaling, think more about the resources and less about the specific hardware. Modern servers may not always resemble a physical machine that you can open up and insert additional RAM into. But the theory is the same: more memory means the server can handle more concurrent requests.
Sometimes your Drupal site is optimized, but traffic is still high and takes most of the server’s resources. In order to sustain that load you'll need to scale your server up.
Sometimes you don’t have the resources or expertise to implement caching optimizations, refactoring code, and modifying slow queries -- all of which would improve Drupal's performance. In these cases, you may consider server scaling.
Server scaling can be done in two ways: horizontally or vertically.
In this tutorial we'll:
- Learn what server scaling is
- Discuss examples of both horizontal and vertical server scaling
- Talk about when to choose horizontal versus vertical scaling strategies
By the end of this tutorial, you should understand the concept of server scaling and how it applies to a Drupal application.
No one likes to wait for a slow site to load. Not me, not you, and definitely not search engines. And the effect of site load times on things like SEO, user bounce rates, purchase intent, and overall satisfaction are only going to become more pronounced over time.
Drupal is a modern web framework that is capable of serving millions of users. But every site is unique, and while Drupal tries hard to be fast out of the box, you'll need to develop a performance profile, caching strategy, and scaling plan that are specific to your use case in order to be truly blazing fast.
Drupal site performance depends on multiple components, from hardware setup and caching system configuration to contributed modules, front-end page weight, and CDNs. Experienced Drupal developers looking to optimize their applications know where to start looking for potential savings. They can manipulate settings and combinations of these components to achieve the desired results. Our goal with this set of tutorials is to help explain the process and provide you with the insight that comes with experience.
In this tutorial we'll:
- Introduce high-level performance concepts for Drupal that we'll then cover in more detail elsewhere
- Provide an overview of the main Drupal performance components.
By the end of this tutorial, you should understand what components around your Drupal application are responsible for site performance.
Why Solr?
FreeDrupal has long provided a built-in search mechanism, so why do we need anything more? In this tutorial, we introduce Apache Solr, a free and open source search service that has several advantages and features beyond Drupal’s built-in search.
In this tutorial, we'll:
- Define Apache Solr
- Identify Apache Lucene, the legacy name for Solr
- List key features of Solr
- Identify the advantages of Solr compared to Drupal search
Apache Solr is not a Drupal module, but a server application like Varnish or MySQL. Before we can use Solr with Drupal, we must plan how we will deploy Solr to our production site.
In this tutorial, we'll:
- List the requirements for Solr installation
- Identify when to install Solr on new hardware
- Describe various installation methods
By the end of this tutorial you should be able to describe a typical Solr install, and begin to list out the various things you'll need to do to install Solr for your environments.
Use Solr Locally
FreeJust as you would for Drupal, you should always test your search configuration prior to deploying it to production. In this tutorial, we examine the various ways to set up Apache Solr locally on your system. Then we'll walk through setting up DDEV with Solr for local development.
In this tutorial, we'll:
- Describe options for running Solr locally
- List which popular local development environments provide Solr
- Show how to set up a local, DDEV-based local dev environment with Solr
By the end of this tutorial you should be able to list the different ways that Solr can be installed locally, choose an option that works for you, and see how to get started quickly with DDEV.
Solr compartmentalizes itself into cores (or collections if you're using SolrCloud). Each Solr core has its own directory, configuration, and set of search data. While a core can be thought of as an “index”, it is much more.
In this tutorial, we'll:
- Identify the difference between a Solr core and an index.
- List the various ways a core can be created.
- Explain why Search API needs a custom core configuration.
By the end of this tutorial you should be able to explain what Solr cores are, and how to create a Solr core (or collection) that is compatible with Drupal's Search API module.
In order for Drupal to work with Apache Solr, we need to add the Search API module. This module provides a generic interface for search backends, including Solr. Furthermore, it adds several features to search without the need for custom code.
In this tutorial, we'll:
- Describe why Search API is necessary to use Solr with Drupal
- Identify a Search API server
By the end of this tutorial you should be able to install the Search API and Search API Solr modules, and create the Search API server configuration required to connect Drupal and Solr.
When developing a Drupal site, it is best practice to maintain multiple environments: A production environment for your live site, a stage environment for “next version” development, and your local environment for debugging and creating new features. Solr adds further complexity as we should have a separate Solr server for each.
In this tutorial, we'll:
- Describe why different Solr servers should be used for each environment
- Explain why Config Split is not a solution for multiple environments
- Describe how to use config overrides for each environment
By the end of this tutorial you should be able to override your Search API server configuration with environment-specific settings.
While Solr compartmentalizes settings into cores, Search API organizes things into indexes. Each Search API index can have a unique set of settings and crawl a specified list of content types. Search API indexes can be created in the Search API admin interface.
In this tutorial, we'll:
- Identify a Search API index
- Describe how an index is related to a Solr core
By the end of this tutorial you should be able to create a new Search API Index connected to a Solr backend.
Creating an index alone is not enough. To populate the index, we need to specify the fields necessary to populate the index. Selecting the fields is accomplished in the Search API admin UI.
In this tutorial, we'll:
- Explain how to select what populates a search index
- Describe a field boost, and how it is used to customize results
By the end of this tutorial you should be able to add fields to a Search API Index so their content is available for searching, and then instruct Search API to index the content of your site.
Reference field types, such as taxonomy term fields, paragraph fields, or plain entity reference fields, refer to a completely separate entity within the site. This makes search configuration complicated as the typical scope of a search crawl is on a per-node (really a per-entity) basis. Fortunately there are known strategies to index these fields with ease.
In this tutorial, we'll:
- Describe why reference types pose a particular challenge to indexing
- Discuss the importance of display modes in indexing
- Highlight how the Rendered HTML Output field can be used to index paragraphs
By the end of this tutorial you should be able to add reference fields to your Search API Index and allow users to search their contents in the correct context.