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Server

A is a , device, or system that provides resources, , services, or programs to other computers, known as clients, over a , typically operating within the client-server architecture where the server responds to client requests to facilitate tasks such as , processing, and sharing. This model enables centralized management of resources, including file servers for storing and retrieving files, print servers for managing printers, database servers for handling queries, and servers for directing traffic. Servers can function as either or software, with servers being physical machines—often rack-mounted or blade-style units—equipped with high-capacity components like multi-core CPUs, substantial , redundant arrays, and robust power supplies to ensure reliability and uptime for continuous operation. These setups prioritize features such as , through , and to support demanding workloads, while also incorporating cooling systems, network interface cards, and remote management tools for administration. On the software side, servers run specialized operating systems (e.g., or distributions) and applications tailored to specific services, such as web servers using protocols like HTTP/ to deliver webpages via software like or , or email servers managing SMTP and IMAP for message handling. Common types include application servers for executing business logic, DNS servers for resolving domain names to addresses, servers for intermediary traffic routing, and servers created through hypervisors to partition physical into multiple isolated environments, enhancing utilization. In modern computing, servers underpin essential infrastructure for businesses and the internet, powering everything from cloud-based services—where virtual instances scale on-demand—to hybrid setups combining on-premises hardware with remote cloud resources for improved flexibility, security, and disaster recovery. Their role extends to high-performance applications like AI processing on GPU servers and multiplayer gaming, ensuring secure, efficient data exchange across global networks while adhering to standards for compliance and monitoring.

Computing

Definition and function

In computing, a server is a software program or the on which it runs that provides specific services to other software programs or devices, known as clients, typically across a . This setup enables the server to act as a central point for delivering resources or performing tasks on behalf of clients, which initiate communication by sending requests. The client-server model is a foundational that partitions tasks between clients, which request services, and servers, which fulfill those requests through a request-response over a . Key characteristics include centralized provision of resources, where the server manages shared and to support multiple clients efficiently; , allowing servers to handle increasing loads by upgrading capacity independently; and reliability, designed to maintain continuous for responding to requests without interruption. In this model, clients do not typically share their own resources but instead rely on the server for functions like access or computation, promoting efficient distribution of workloads. Servers perform basic functions such as storing , processing incoming requests from clients—for example, retrieving web pages, transferring files, or executing computations—and facilitating resource sharing among networked devices. A simple client-server interaction can be described as follows: the client sends a request to the server via , the server processes it by accessing stored or performing the required , and then returns a response to the client, completing the exchange. Unlike systems where devices act interchangeably, servers are specifically optimized for , robust performance under load, and continuous , in contrast to general-purpose client devices focused on user interaction and lightweight processing.

History

The concept of servers originated in the with the advent of mainframe computers, which served as centralized resources for multiple users. The , announced in 1964 and first delivered in 1965, exemplified this shift by providing a family of compatible mainframes capable of handling diverse workloads in a unified architecture, effectively acting as early servers for and . These systems laid the groundwork for , where multiple users could access the mainframe simultaneously via terminals, as demonstrated by implementations like the University of Pittsburgh's time-sharing system on the starting in 1966. In the 1970s and 1980s, networking advancements transformed servers into interconnected entities. The , launched in 1969, evolved to support networked servers through protocols like the Network Control Protocol, but the pivotal development came with TCP/IP, standardized for in 1983, enabling reliable communication across diverse networks. Concurrently, Unix emerged as a foundational operating system for servers; developed at starting in 1969 and released as Version 7 in 1979, it supported multi-user environments on minicomputers, fostering widespread adoption in academic and research settings for its portability and robustness. The 1990s marked the rise of distributed and web-based servers, driven by the internet's commercialization. proposed HTTP in 1989 and implemented the first at in 1990, with the protocol formalized in 1991 to enable hypertext document sharing over networks. This spurred the growth of PC-based servers, as companies like introduced the first PC-based multiprocessor server in 1989 and dominated the market through the decade with scalable x86 systems. Similarly, entered the server space in the early 1990s, releasing systems with 80486 processors in 1990 and expanding into enterprise servers, capitalizing on direct sales to meet surging demand for affordable, networked . From the 2000s onward, servers evolved toward , cloud architectures, and distributed paradigms. , founded in 1998, released in 1999, introducing that allowed multiple operating systems to run on a single physical server, dramatically improving resource utilization. (AWS) launched in 2006 with services like Simple Storage Service (S3) and Elastic Compute Cloud (EC2), pioneering on-demand cloud servers and shifting infrastructure from owned hardware to scalable, pay-as-you-go models. The impact of , which posits that transistor density on doubles approximately every two years, enabled exponential increases in server density, allowing more computational power in compact forms to support these innovations. In the , the proliferation of (IoT) devices drove the adoption of edge servers, processing data closer to sources for low-latency applications, with early developments tracing to content delivery networks in the late but accelerating post-2010. Key milestones further shaped server evolution, including the 1983 implementation of the (DNS) by , which provided scalable addressing for networked servers via hierarchical domains, replacing flat host tables. The 2010s saw a shift to hyperscale data centers, with expanding its facilities since 2005 but scaling massively in the decade to support AI and search workloads, while Microsoft Azure's growth from 2010 onward emphasized global, high-density server farms for cloud services.

Hardware components

Server hardware consists of physical components engineered for high reliability, continuous operation, and scalability in data centers and enterprise environments. Central to this are processors and memory, which form the computational backbone, followed by storage, networking interfaces, chassis designs, and auxiliary elements like cooling and security modules. Processors in servers are typically multi-core CPUs optimized for parallel processing and workload distribution. Intel Xeon processors, such as those in the 6th Generation Scalable family, support up to 128 cores per socket with clock speeds reaching up to 4.3 GHz, enabling efficient handling of virtualization and database tasks. Similarly, AMD EPYC processors, including the 5th Generation 9965 model, provide up to 192 cores and a thermal design power of 500W, excelling in AI inference with up to 1.33 times the throughput of comparable Intel models. These CPUs incorporate features like error-correcting mechanisms and extended instruction sets to ensure stability under heavy loads. Random access memory (RAM) in servers predominantly uses error-correcting code (ECC) variants to maintain . employs Hamming codes and bits to detect and automatically correct single-bit errors caused by cosmic rays or electrical , preventing system crashes in mission-critical applications. Server configurations can scale RAM capacities to several terabytes per system, such as 1 TB or more using DDR5 modules, supporting memory-intensive workloads like . Storage subsystems balance capacity, speed, and using hard disk drives (HDDs), solid-state drives (SSDs), and advanced interfaces. HDDs offer high-capacity options at lower costs, ideal for archival , while SSDs provide faster read/write speeds for active data, reducing in transactional systems. is achieved through configurations, such as RAID 1 for mirroring or RAID 5/6 for parity-based protection against drive failures, ensuring data availability even if one or two disks fail. For high-speed access, NVMe interfaces leverage PCIe lanes to deliver up to 25 times the data transfer rate of SSDs, minimizing bottlenecks in enterprise databases and . Networking components facilitate low-latency interconnectivity between servers and external systems. , operating at 1 Gbps, serves as a standard for general-purpose connectivity via network interface cards (NICs), supporting reliable data transfer in most enterprise setups. For (HPC) and AI clusters, offers sub-100 nanosecond latency through (RDMA) and architecture, outperforming Ethernet in bandwidth-intensive scenarios like large-scale simulations. These NICs and associated switches are designed to handle high-throughput traffic with minimal packet loss. Server form factors dictate physical layout, , and thermal management. Rackmount servers, sized in 1U to 4U units for 19-inch racks, prioritize space efficiency and in data centers. Blade servers fit multiple compact modules into a shared , maximizing for up to dozens of nodes while centralizing resources. Tower servers resemble standalone , suiting small-scale deployments with simpler installation. Cooling systems, including high-velocity fans for and liquid cooling for high-density heat dissipation, prevent overheating in intensive operations. Power supplies often feature redundant, hot-swappable units to avoid from failures. Specialized hardware augments core capabilities for specific demands. Graphics processing units (GPUs), such as NVIDIA's A100 Tensor Core, accelerate compute-intensive tasks like and simulations, delivering up to 5 petaFLOPS in certified server systems for training. Trusted Platform Modules (TPM) chips provide hardware-based by storing keys and performing checks during boot, safeguarding against and unauthorized access in server environments.

Operating systems and software

Servers primarily run operating systems optimized for stability, security, and resource efficiency to handle continuous workloads and multiple concurrent users. distributions dominate server environments due to their open-source nature, customizability, and robust performance. Popular choices include Server, known for its releases that provide up to five years of free security updates and extensive community backing, making it suitable for hosting and deployments. (RHEL) offers enterprise-grade stability with a 10-year lifecycle, certified for mission-critical applications, and is widely used in data centers for its compliance features and vendor support. Other Unix-like variants, such as , emphasize reliability and networking capabilities, often deployed in high-traffic environments like firewalls and file servers due to its advanced filesystem for . Windows Server provides seamless integration with Microsoft ecosystems, supporting for centralized management and .NET applications, which is essential for enterprises relying on Windows-based software stacks. It includes built-in features like for directly from the OS, reducing dependency on third-party tools. Server software stacks form the backbone for delivering services, with web servers like handling dynamic content via modules for scripting languages such as , and serving as a foundational component in LAMP (Linux, Apache, MySQL, PHP) environments. excels in high-concurrency scenarios as a lightweight and load balancer, efficiently managing static file delivery and traffic distribution for large-scale websites. Middleware solutions, including , enable Java-based web applications by implementing servlet and JSP specifications, often integrated with front-end servers like for optimized performance. Virtualization and containerization enhance server efficiency by abstracting resources and enabling multi-tenancy. Hypervisors such as KVM, integrated into the , allow a host system to run multiple virtual machines with near-native performance, supporting features like for in cloud infrastructures. Microsoft's , a type-1 , facilitates VM management on , offering shielded VMs for enhanced security and integration with for hybrid setups. For containerization, packages applications into isolated environments, promoting portability and scalability on servers without the overhead of full VMs. orchestrates these containers across clusters, automating deployment, scaling, and to manage architectures effectively. Configuration and monitoring tools are essential for server administration. (SSH) provides encrypted remote access for command execution and , forming the standard for server management. Tools like collect and query time-series metrics for real-time alerting, supporting multi-dimensional data models for infrastructure . offers comprehensive of hosts and services, using plugins to check and thresholds via protocols like SSH. Licensing models for server software vary between open-source and proprietary approaches, influencing cost and flexibility. Open-source options like distributions and follow permissive licenses (e.g., GPL or ), allowing free modification and distribution but requiring community or paid support for enterprises. Proprietary systems, such as , use subscription-based licensing with CALs (Client Access Licenses) for user/device access, ensuring vendor-managed updates and compliance tools. Patch management is critical for security; open-source projects rely on automated tools like yum/dnf in RHEL for timely updates, while proprietary environments use integrated systems like to deploy patches systematically, minimizing vulnerabilities.

Types of servers

Servers are categorized into various types based on their primary functions, enabling specialized roles in network environments such as , content delivery, and real-time processing. These classifications build on the client-server model, where servers respond to client requests tailored to specific tasks like or web hosting. Common types include file and print servers for , web and application servers for internet services, database servers for data handling, mail and servers for communication and optimization, and servers for interactive , and emerging variants like and servers for modern distributed systems. File and print servers focus on centralized storage and resource sharing within networks. File servers store data on central repositories and allow multiple clients to access, read, and write files remotely, often using protocols such as (NFS) for systems, which enables transparent file access across distributed environments, or Server Message Block () for Windows ecosystems, supporting , , and opportunistic locking to prevent conflicts. Print servers extend this by managing networked printers, queuing print jobs from multiple users, and handling tasks like and driver distribution to ensure efficient printer utilization without requiring direct client-printer connections. These servers are essential in settings for collaborative work, such as shared access in offices. Web and application servers handle the delivery of web content and execution of dynamic applications. Web servers process HTTP and HTTPS requests to serve static files like HTML pages, images, and scripts, with popular implementations including , which supports modular extensions for and SSL/TLS encryption, and (IIS) from , integrated with Windows for seamless authentication and performance monitoring. Application servers complement this by running server-side logic for dynamic content generation, using technologies like , an interpreted embedded in web servers to produce from database queries, or , a runtime built on Chrome's for asynchronous, event-driven applications handling concurrent requests efficiently. For instance, e-commerce sites rely on these to personalize user experiences through real-time data processing. Database servers manage structured data storage, retrieval, and manipulation, supporting both relational and non-relational models. They use SQL-based systems like MySQL, an open-source relational database that employs structured query language for data definition and operations, with built-in query optimization techniques such as index usage and execution plan analysis to enhance performance on large datasets while ensuring ACID (Atomicity, Consistency, Isolation, Durability) properties for transaction reliability. NoSQL alternatives like MongoDB handle unstructured data via document-oriented storage, offering flexible schemas and horizontal scaling, yet providing multi-document ACID transactions since version 4.0 to maintain data integrity in distributed setups. These servers power applications requiring robust querying, such as financial systems where query optimization reduces response times from seconds to milliseconds. Mail and proxy servers facilitate communication and optimization. Mail servers messaging using protocols like SMTP for sending emails, as implemented in Postfix, a secure and fast mail transfer agent that queues and delivers messages while supporting anti-spam features, and IMAP for retrieving and managing emails on servers, allowing synchronized access across devices without local storage. Proxy servers, such as , act as intermediaries for client requests, caching frequently accessed to reduce usage by serving local copies instead of fetching from origin servers, thereby saving up to 50% in data transfer for repetitive accesses in organizational networks. These are critical for secure email delivery in businesses and efficient in bandwidth-constrained environments. Game and media servers support interactive and experiences with emphasis on performance. Game servers host multiplayer sessions, processing player inputs and synchronizing game states with low latency to minimize lag, as seen in servers that use for peer connections and custom protocols to handle world updates for thousands of concurrent users. Media servers enable streaming of audio and video content, often employing (Real-Time Messaging Protocol) for low-latency delivery of live or on-demand , where servers ingest streams from encoders and distribute them to clients via adaptive bitrate to maintain quality over varying network conditions. These servers underpin online gaming communities and video platforms, ensuring sub-second response times for immersive user engagement. Emerging types address demands from distributed and . Edge servers process data near the source in deployments, reducing by handling computations on gateways rather than remote clouds, which is vital for applications like smart cities where on sensor data prevent delays in . servers incorporate specialized hardware like Tensor Processing Units (TPUs), custom from designed for matrix multiplications in workloads, accelerating training and inference up to 100 times faster than CPUs for tasks such as image recognition in data centers. These advancements enable scalable, low- at the network periphery, supporting the growth of autonomous systems and in industry.

Deployment and management

Server deployment encompasses various models tailored to organizational needs, balancing , , and . On-premises deployment involves hosting servers within an organization's physical centers, providing full over and but requiring significant upfront investment in and . In contrast, deployment, particularly (IaaS) models like , allows organizations to provision virtual servers and resources over the , offering elasticity and reduced responsibilities. Hybrid setups integrate on-premises with or private environments, enabling seamless flow and workload migration, such as "lift and shift" strategies where applications move between local and resources. This model supports agility by provisioning resources across environments while optimizing . Effective server management relies on tools to streamline configuration and operations across deployments. and are widely used open-source platforms for infrastructure ; employs agentless, YAML-based playbooks for task orchestration, while uses declarative manifests to enforce desired system states. These tools facilitate consistent server provisioning and updates, reducing manual errors in large-scale environments. For , load balancing distributes traffic across multiple servers using tools like , which handles /HTTP balancing and health checks, often paired with failover clustering via Keepalived to automatically redirect traffic during node failures. Security is integral to server deployment, incorporating layered defenses to protect against threats. Firewalls such as in environments filter network traffic based on predefined rules, blocking unauthorized access at the level. protocols like SSL/TLS secure , ensuring for communications between servers and clients. Access controls, including (RBAC), limit permissions to authorized users based on roles, minimizing insider risks. Intrusion detection systems like Snort monitor network traffic for suspicious patterns, alerting administrators to potential attacks in real-time. Monitoring and maintenance ensure server reliability and quick issue resolution. Tools like provide comprehensive monitoring of server metrics, including CPU, memory, and disk usage, with built-in templates for popular operating systems to track uptime and performance. For instance, Zabbix's system.uptime item key measures operational duration, enabling alerts for . Backup strategies involve full backups for complete data snapshots and incremental backups that capture only changes since the last backup, often using for efficient across local or remote systems. These approaches, combined with tools like Relax-and-Recover (ReaR), support by generating bootable rescue images. Scalability techniques allow to handle growing workloads without service interruptions. Vertical scaling enhances a single server's capacity by upgrading , such as increasing CPU or , suitable for applications with limited distribution needs but bounded by physical limits. Horizontal scaling, or scale-out, achieves greater flexibility by adding more servers to a , distributing load via mechanisms like load balancers, which supports unlimited growth in distributed environments. This method is particularly effective for cloud-based deployments, where auto-scaling policies dynamically adjust instance counts based on demand.

Energy consumption and environmental impact

Servers in data centers typically consume between 200 and 500 watts per unit under standard operational loads, depending on and workload intensity. Globally, data centers accounted for approximately 1.5% of total electricity consumption in 2023, totaling around 415 terawatt-hours, with projections indicating growth driven by increasing computational demands. This power usage contributes to significant environmental strain, as data centers are responsible for about 0.5% of global CO2 emissions, primarily from reliance on fossil fuel-based . Cooling systems represent a major portion of data center energy overhead, often exceeding 40% of total power draw. Traditional air cooling, which circulates conditioned air through server racks, is energy-intensive due to the need for constant fan operation and climate control, whereas immersion cooling—submerging servers in non-conductive dielectric fluids—can reduce cooling energy by up to 50% by enabling more efficient heat transfer. Efficiency is commonly measured by Power Usage Effectiveness (PUE), the ratio of total facility energy to IT equipment energy; the global average PUE is around 1.58, though leading facilities achieve values below 1.2, approaching the theoretical ideal of 1.0. Environmental impacts extend beyond energy to include water usage for evaporative cooling, averaging 1.8 liters per kilowatt-hour across the industry, and electronic waste from frequent hardware upgrades, which generates toxic materials like lead and mercury that contaminate soil and water if not properly managed. Mitigation strategies focus on enhancing efficiency and . ENERGY STAR certifications for enterprise servers mandate and efficient power supplies, ensuring qualified models reduce use by at least 10-20% compared to non-certified counterparts. Major operators like are integrating sources, aiming for 24/7 carbon-free operations across all data centers by 2030 through investments in , and advanced matching of clean to hourly demand. Emerging trends include the adoption of ARM-based processors, which offer up to 60% better for AI workloads compared to traditional x86 architectures, and AI-optimized low-power designs that prioritize performance-per-watt metrics to minimize overall . These advancements, combined with e-waste recycling programs, help offset the sector's growing demands while promoting a shift toward greener .

Other uses

In hospitality

In the hospitality industry, a , also known as a waiter or , is a frontline member who attends to customers in restaurants, cafes, and similar dining establishments by taking orders, serving and beverages, and processing payments. This role ensures a smooth dining experience, often involving greeting patrons, explaining menu options and daily specials, and addressing inquiries about ingredients or preparation methods. Servers' responsibilities extend beyond basic to include providing menu recommendations based on customer preferences, setting up and clearing tables, and coordinating with and staff to time deliveries efficiently. They also handle customer complaints diplomatically, maintain hygiene standards by sanitizing surfaces and adhering to health protocols, and process bills while items like desserts or drinks to enhance satisfaction. In high-volume settings, servers may manage multiple tables simultaneously, requiring strong multitasking and communication skills to keep flowing without delays. The role varies significantly by establishment type; in fine dining restaurants, servers often specialize in personalized service, such as as sommeliers to recommend wines from an extensive , memorizing menus including pairings, and delivering courses with precise timing to create an elegant atmosphere. In contrast, fast casual venues emphasize speed, with servers handling counter orders, quick assembly of meals, and minimal table interaction, focusing on efficient throughput rather than prolonged engagement. Servers typically work shifts that include evenings, weekends, and holidays, with compensation often relying on ; in the United States, the federal tipped remains $2.13 per hour as of 2025, provided tips bring total earnings to at least the standard minimum of $7.25 per hour. Training for servers emphasizes and proficiency, with certifications like Food Handler—administered by the —covering topics such as preventing foodborne illnesses, proper storage, and sanitation practices, and requiring a passing score of 75% on a 40-question exam. Many employers mandate this or equivalent training to comply with health regulations. Cultural differences influence styles; in , servers often adopt a more formal, unhurried approach with less frequent check-ins to allow leisurely dining, whereas U.S. service tends to be proactive and attentive due to tip-driven incentives. Post-COVID-19, server roles have evolved with the adoption of contactless ordering systems, such as menus and app-based payments, which reduce physical interactions and allow customers to place orders directly from their devices, minimizing server involvement in initial steps while shifting focus to and . Additionally, the has expanded server opportunities through platforms like , where independent contractors—known as Dashers—act as delivery servers, picking up and transporting meals on flexible schedules without traditional employment ties.

In sports

In racket sports, the server initiates play by striking the ball or shuttlecock over the net into the opponent's court, adhering to specific rules that emphasize precision, positioning, and technique. This action is fundamental to tennis, volleyball, and badminton, where serving can determine the rally's momentum and scoring opportunities. In tennis, the server stands behind the baseline and delivers an overhand strike with the racket after tossing the ball, aiming for the diagonally opposite service box. Common techniques include the flat serve, which prioritizes speed and direct trajectory for power; the slice serve, imparting sidespin to curve the ball and skid low upon landing; and the kick serve, using topspin to create high bounce and difficulty in return. A successful serve that lands in bounds and remains untouched by the receiver is termed an ace, awarding an immediate point. Violations, such as a foot fault—where the server touches the baseline or court interior before striking the ball—result in a fault, with two consecutive faults losing the point. If the ball clips the net but lands in the service box (a let), the serve is replayed without penalty, a rule codified since the sport's early standardization in the 19th century to ensure fairness. In professional play, gender differences are evident, with men's average first-serve speeds exceeding women's by approximately 27 km/h due to biomechanical factors like greater upper-body torque. Volleyball serving occurs from the back-right service zone, where the player can execute an underhand or overhand hit after a toss or release to start the , with the ball crossing the into the opponent's court. Faults include stepping beyond the zone during contact or delaying the serve beyond eight seconds after the referee's signal, resulting in a point for the opponents. In badminton, the serve is strictly underhand and low, struck below the server's with the racket shaft pointing downward, directing the diagonally into the opponent's service court to begin the . Faults occur if the shuttle lands outside the court or if the stroke exceeds waist height, leading to a point loss under rally-point scoring. Equipment for these serves includes rackets strung at 50-60 lbs tension in tennis to balance power and control, allowing for explosive serves while minimizing vibration. Tennis balls are pressurized and felt-covered to achieve a consistent bounce of 53-58 inches on first impact from 100 inches height, per ITF specifications, aiding predictable trajectory. Notable examples include Australian Sam Groth's record 263 km/h flat serve in a 2012 Challenger event, showcasing peak power potential. Players often train for shoulder strength through rotator cuff exercises to prevent common serve-related injuries like impingement, emphasizing endurance in overhead motions.

In religion and ceremonies

In Christian liturgical traditions, particularly within Catholicism, an is a lay assistant who supports the during services such as the by performing tasks like carrying candles, ringing bells, and responding to prayers alongside the congregation. These servers also assist in bringing forward the gifts of bread and wine and join in the hymns and chants of the . In Protestant denominations like Anglican and Lutheran churches, servers similarly aid in processions by carrying crosses and candles, lighting altar candles, and preparing the elements for the , though practices vary by congregation and emphasize active participation in . traditions feature untonsured altar servers, typically young males, who assist within the by handling liturgical items during the , such as fans, candles, and processional crosses, while maintaining strict separation from the Holy Table. The role of the altar server evolved from the minor order of in , with the earliest mentions dating to 251 AD in records of church orders that included acolytes among clerical roles like lectors and exorcists. By the third century, acolytes were recognized as a formal minor order assisting at , a practice that persisted through the as a step toward higher . The Second (1962–1965) significantly expanded lay involvement in the , transforming the acolyte role from a clerical order to an instituted lay ministry and opening opportunities for broader participation beyond ordained men. Duties of altar servers center on preparing and maintaining , including setting out vessels like the and paten, assisting with , and clearing items after , with these responsibilities adapted to the specific rite—more formalized in Catholic and settings compared to the flexible approaches in many Protestant services. Training typically occurs through youth programs in parishes, involving instruction on liturgical procedures, reverence, and coordination, often starting in elementary school for children who have received basic sacraments. Attire includes vestments such as the and for a unified appearance, or an in some traditions, symbolizing purity and equality in service. Post-Vatican II reforms promoted greater inclusivity, with the enabling lay ministers of either gender, and by 1994, explicitly permitted in Catholic dioceses, a practice that had already emerged in some areas during the . This shift toward gender-neutral roles was further affirmed in 2021 when revised to formally include women as instituted acolytes. In the , such inclusivity has long been standard, with both boys and girls serving worldwide in diverse cultural contexts, from the to provinces in and , fostering lay involvement across global Anglican practices.

Other meanings

In legal contexts, a server, commonly known as a , is an individual or official responsible for delivering legal documents such as summonses, subpoenas, complaints, and court orders to the parties involved in a . This role ensures that defendants or respondents are properly notified of , often performed by sheriffs, deputies, or licensed private professionals who must adhere to jurisdictional rules for .

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