Availability is the likelihood that a data-analysis system is operational and accessible when needed. It matters when continuous analysis supports decision-making. section 7.1
Uptime
Availability is the likelihood that a system is operational and accessible when needed.
How Starting Data Analytics with Generative AI and Python covers it
- How deep it goes
- Defines availability as the likelihood of being operational and available when needed, without detailing how to measure it.
- What you can do after
- Evaluate whether a data-analysis system is operational and available when needed.
- How it connects
- Connects availability with high uptime, continuous data analysis, and decision-making.
Also explained in
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWSHigh availability is the property of a system remaining operational with minimal interruption despite component failures.
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100 SQL Server Mistakes and How to Avoid ThemHigh availability is the capability of a system to remain accessible and operational despite failures or maintenance events.
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Elixir in Action, Third EditionA high-availability system is a system designed to provide service continuously with minimal downtime.
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Google Anthos in ActionHigh availability is the property of a system remaining operational with minimal interruption despite component failures or maintenance.
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PostgreSQL Mistakes and How to Avoid ThemA system design property that minimizes service interruption and maintains access during failures or maintenance.
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Data-Driven CybersecurityThe degree or proportion of time that a system is operational and accessible when needed.
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Kubernetes for DevelopersHigh availability is the property of an application remaining operational despite failures of individual infrastructure components or failure domains.
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Machine Learning System DesignThe property that required data and related systems can be obtained or accessed reliably by a system and its engineers.
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Generative AI in ActionThe property of a system remaining operational and accessible for a high proportion of time.
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Architecting an Apache Iceberg LakehouseHigh availability is the capability of a system to remain operational with minimal interruption despite component or site failures.
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Think Like a CTOUptime is the proportion or duration of time during which a system or service is available and operating normally.
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Terraform in Depth: Infrastructure as Code with Terraform and OpenTofuHigh availability is a system design property that minimizes service interruption by avoiding dependence on a single failure domain.
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Effective Platform EngineeringHigh availability is the design of a system to maintain service access despite component failures or maintenance.
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Kafka for ArchitectsHigh availability is the property of a system remaining operational despite failures of individual components.
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Data Without LabelsAvailability is the degree to which required data can be obtained and accessed for a particular use case without operational or permission barriers.
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Microsoft Azure in ActionHigh availability is the property of a system remaining accessible and operational for a high proportion of required service time.
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Platform Engineering on KubernetesHigh availability is a system property that minimizes service interruption through redundancy and failure tolerance.
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Build AI-Enhanced Web AppsHigh availability is the capability of a system to remain operational with minimal interruption despite component failures.
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MongoDB 8.0 in Action, Third EditionHigh availability is an operational property in which a system remains accessible despite component failures or maintenance.
Compare how 20 books explain uptime →
Related concepts
- CIA triadpart of · The CIA triad is an information-security model comprising confidentiality, integrity, and availability as core protection objectives.
- resiliencecontrasts with · Resilience is the capacity of a system or organization to withstand disruption, adapt, recover, or continue functioning acceptably.
- meanhas part · A mean is a measure of central tendency, calculated as the arithmetic average of values or, for a random variable, as the probability-weighted average of its possible values.
- CAP theoremused by · The CAP theorem is a distributed-systems impossibility result stating that consistency, availability, and partition tolerance cannot all be guaranteed during a network partition.
- durabilitycontrasts with · Durability is the capacity of data, systems, or other artifacts to persist or remain usable over time despite failures or change.
- consistencycontrasts with · Consistency is the property of related data, behavior, outputs, or states agreeing with one another or conforming to defined rules across relevant instances or operations.
This explainer was generated by Manning's knowledge graph from the text of Starting Data Analytics with Generative AI and Python. The section links point to the parts of the book it draws on.