Web operations (WebOps) is a domain of expertise within IT systems management that involves the deployment, operation, maintenance, tuning, and repair of web-based applications and systems. 
Historically, operations was seen as a late phase of the Waterfall model development process. After engineering had built a software product, and QA had verified it as correct, it would be handed to a support staff to operate the working software. Such a view assumed that software was mostly immutable in production and that usage would be mostly stable. Increasingly, "a web application involves many specialists, but it takes people in web ops to ensure that everything works together throughout an application's lifetime." The role is gaining respect as a distinct specialty among developers and managers, and is considered by many to be a subset of the larger DevOps movement.
With the rise of web technologies since mid-1995, specialists have emerged that understand the complexities of running a web application. Earlier examples of IT operations teams exist, such as the Network Operations Center (NOC) and the Database Administration (DBA) function.
Web systems demand their own specialized skills. Web applications are unique in many ways, including:
- Their use by a distributed, often uncontrolled, user base
- The many independent networks between end users and the data center from which content is served
- The three-tiered model of web, application, and database components (such as LAMP environments consisting of Linux, MySQL and either Perl or PHP)
- The way in which web pages are delivered as atomic transactions, requiring additional technologies (such as HTTP cookies) to associate sequences of pages into a user interaction.
Web operations teams are tasked with a variety of responsibilities, including:
- The deployment of web applications
- The monitoring, error isolation, escalation, and repair of problems
- Performing performance management, availability reporting, and other administration
- Configuring load-balancing and working with content delivery networks to improve the reliability and reduce the latency of the system.
- Measuring the impact of changes to content, applications, networks, and infrastructure