Scalability

As explained in Akka in Action, Second Edition

Scalability is the ability of a system to adapt to changes in resource demand without negatively affecting performance.

Scalability is a system’s ability to adapt to changing resource demand without reducing performance. Concurrency helps achieve it by allowing applications to use additional CPU capacity. section 1.1

Distinguish the two main scaling approaches:

• Scale up by increasing resources, such as CPUs, on existing servers. section 1.1
• Scale out by dynamically adding more servers to a cluster. section 1.1
• Treat additional resources as a practical trade-off: adding capacity does not make every problem affordable or efficient. section 1.1

Figure 1.1 Demand vs. resources

Compare changing demand with available resources to see when capacity must adapt. section 1.1

How Akka in Action, Second Edition covers it

How deep it goes

Defines scalability and contrasts scaling up with scaling out, but stops short of implementation procedures or performance measurements.

Examples

Uses additional CPUs, additional cluster servers, cloud platforms, Docker, Kubernetes, and demand-versus-resources figures.

What it assumes

Assumes basic awareness of servers and CPUs while defining concurrency, scaling up, and scaling out directly.

What you can do after

Evaluate whether changing demand calls for more CPU capacity or additional servers, while considering cost and performance.

How it connects

Connects scalability with concurrency, distributed systems, clusters, cloud computing, and resource provisioning.

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Related concepts

• Knativeused by · Knative is an open-source, Kubernetes-based platform for deploying and operating serverless and event-driven workloads.
• horizontal scalingincludes · Horizontal scaling is adjusting system capacity by adding or removing computing nodes or equivalent instances that share or distribute the workload.
• vertical scalingcontrasts with · Vertical scaling is increasing or decreasing a system’s capacity by changing the resources available to an existing machine, node, or instance.
• nonfunctional requirementkind of · A nonfunctional requirement specifies a quality attribute, constraint, or operating condition that a system must satisfy beyond the particular functions it performs.
• dataset splitaddressed by · A dataset split is the division of a dataset into distinct subsets assigned different purposes, such as training, validation, or testing.
• Kubernetesused by · Kubernetes is an open-source platform for orchestrating and automating the deployment, scaling, and management of containerized workloads across computing clusters.

This explainer was generated by Manning's knowledge graph from the text of Akka in Action, Second Edition. The section links point to the parts of the book it draws on.