Table of Contents
Scale-Out
Scalability: Horizontal scaling/Scaling horizontally (Scale-in - Scale-out), Vertical scaling/Scaling vertically (Scale-up - Scale-down), scaling, scalable, Autoscaling, Cloud scaling (AWS scaling, Azure scaling, GCP scaling, IBM Cloud scaling, IBM Mainframe scaling, DNS scaling, Kubernetes scaling), Database scaling (ACID, Database replication, Distributed transactions, Strong versus eventual consistency (storage) - Eventually consistent - Strongly consistent, Sharding, Shared-nothing architecture, Two-phase commit. Azure SQL scaling, Cassandra scaling, Cosmos DB scaling, DynamoDB scaling, Elasticsearch scaling, Google BigQuery scaling, Google BigTable scaling, Hive scaling, IBM Db2 scaling, Neo4j scaling, Oracle database scaling, MySQL scaling, MongoDB scaling, PostgreSQL scaling, Redis scaling, SQL Server scaling, Snowflake scaling), Internet scaling, Kafka scaling, Load balancers, Network scaling (Network function virtualization), Processor scaling (Parallel programming, Embarrassingly parallel processing, Processor scaling, Thread scaling), Spark scaling, Web server scaling, Z scaling, Z scaling, Z scaling
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- Snippet from Wikipedia: Scalability
Scalability is the property of a system to handle a growing amount of work. One definition for software systems specifies that this may be done by adding resources to the system.
In an economic context, a scalable business model implies that a company can increase sales given increased resources. For example, a package delivery system is scalable because more packages can be delivered by adding more delivery vehicles. However, if all packages had to first pass through a single warehouse for sorting, the system would not be as scalable, because one warehouse can handle only a limited number of packages.
In computing, scalability is a characteristic of computers, networks, algorithms, networking protocols, programs and applications. An example is a search engine, which must support increasing numbers of users, and the number of topics it indexes. Webscale is a computer architectural approach that brings the capabilities of large-scale cloud computing companies into enterprise data centers.
In distributed systems, there are several definitions according to the authors, some considering the concepts of scalability a sub-part of elasticity, others as being distinct.
In mathematics, scalability mostly refers to closure under scalar multiplication.
In industrial engineering and manufacturing, scalability refers to the capacity of a process, system, or organization to handle a growing workload, adapt to increasing demands, and maintain operational efficiency. A scalable system can effectively manage increased production volumes, new product lines, or expanding markets without compromising quality or performance. In this context, scalability is a vital consideration for businesses aiming to meet customer expectations, remain competitive, and achieve sustainable growth. Factors influencing scalability include the flexibility of the production process, the adaptability of the workforce, and the integration of advanced technologies. By implementing scalable solutions, companies can optimize resource utilization, reduce costs, and streamline their operations. Scalability in industrial engineering and manufacturing enables businesses to respond to fluctuating market conditions, capitalize on emerging opportunities, and thrive in an ever-evolving global landscape.
- Snippet from Wikipedia: Scalability
Scalability is the property of a system to handle a growing amount of work. One definition for software systems specifies that this may be done by adding resources to the system.
In an economic context, a scalable business model implies that a company can increase sales given increased resources. For example, a package delivery system is scalable because more packages can be delivered by adding more delivery vehicles. However, if all packages had to first pass through a single warehouse for sorting, the system would not be as scalable, because one warehouse can handle only a limited number of packages.
In computing, scalability is a characteristic of computers, networks, algorithms, networking protocols, programs and applications. An example is a search engine, which must support increasing numbers of users, and the number of topics it indexes. Webscale is a computer architectural approach that brings the capabilities of large-scale cloud computing companies into enterprise data centers.
In distributed systems, there are several definitions according to the authors, some considering the concepts of scalability a sub-part of elasticity, others as being distinct.
In mathematics, scalability mostly refers to closure under scalar multiplication.
In industrial engineering and manufacturing, scalability refers to the capacity of a process, system, or organization to handle a growing workload, adapt to increasing demands, and maintain operational efficiency. A scalable system can effectively manage increased production volumes, new product lines, or expanding markets without compromising quality or performance. In this context, scalability is a vital consideration for businesses aiming to meet customer expectations, remain competitive, and achieve sustainable growth. Factors influencing scalability include the flexibility of the production process, the adaptability of the workforce, and the integration of advanced technologies. By implementing scalable solutions, companies can optimize resource utilization, reduce costs, and streamline their operations. Scalability in industrial engineering and manufacturing enables businesses to respond to fluctuating market conditions, capitalize on emerging opportunities, and thrive in an ever-evolving global landscape.
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