Reliability

As explained in Effective Platform Engineering

System reliability is the ability of a software system to perform its required functions consistently over an expected period and operating condition.

Reliability is a system’s ability to perform required functions consistently over expected operating conditions. In platform engineering, it is both a product-quality outcome and a measurable source of developer and business value. section 10.1.1 section 10.8

Assess reliability through operational evidence and platform practices:

• Track mean time to detect and resolve incidents, service availability, telemetry coverage, incidents, failures, and defects. section 10.1.1
• Apply SRE practices with service-level objectives, service-level indicators, and error budgets to balance delivery speed with stability. section 10.8
• Treat reliability improvements as contributors to customer trust, developer confidence, retention, and reduced operational cost. section 10.7.2

Epetech

Epetech embedded SRE practices and improved monitoring, reducing downtime and critical incidents while increasing availability and operational resilience. Faster recovery limited customer impact and outage costs. section 10.7.2

Figure 10.1 Quantifying the value across multiple levels, from building the capabilities to addressing the business outcomes

Use the value model to connect reliability capabilities and measurements with developer outcomes and broader business outcomes. section 10.1.1

How Effective Platform Engineering covers it

How deep it goes

Connects reliability to SRE practices, SLOs, SLIs, and error budgets without detailing their implementation.

Examples

Uses Epetech’s reduced downtime, fewer critical incidents, higher availability, faster recovery, and improved monitoring as evidence.

What you can do after

Evaluate reliability using availability, incident, recovery, telemetry, failure, and defect measures.

How it connects

Connects reliability with observability, SRE, service availability, incident management, developer experience, customer trust, and business outcomes.

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Also explained in

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  Apache Kafka in ActionReliability is the likelihood that a system continues to perform correctly over a specified period and operating conditions.
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  Effective Data AnalysisReliability is the consistency or stability of a measurement across repeated observations, items, or conditions.
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  Building Reliable AI SystemsThe ability of an AI system to behave dependably and maintain accurate, safe performance under its intended operating conditions.
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  Generative AI in ActionReliability is the ability of a system to perform its required functions consistently and correctly over time and under expected conditions.
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  Starting Data Analytics with Generative AI and PythonReliability is the degree to which a system produces accurate and timely results consistently under varying conditions.
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  Machine Learning System DesignReliability is the ability of a system to continue performing its required functions consistently despite faults, failures, or changing load.
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  Architecting an Apache Iceberg LakehouseReliability is the ability of a system to perform consistently and preserve correct results despite failures, retries, and interruptions.
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  Infrastructure as Code, Patterns and Practices: With examples in Python and TerraformThe capability of a system to perform its required functions consistently under stated conditions for a stated period.
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  How Large Language Models WorkReliability is the degree to which a system consistently produces dependable behavior and results under expected conditions.
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  Think Distributed SystemsThe ability of a system to continue providing its intended service correctly over time and under expected conditions.
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  Amazon Web Services in Action, Third Edition: An in-depth guide to AWSReliability is the ability of a system to perform its intended functions consistently over time.

Compare how 13 books explain reliability →

Related concepts

• inter-rater reliabilityincludes · Inter-rater reliability is the degree of agreement or consistency among independent raters evaluating the same items, subjects, or events.
• test-retest reliabilityincludes · Test-retest reliability is the consistency of a measure when the same individuals are assessed repeatedly over time while the measured construct remains stable.
• internal consistencyincludes · Internal consistency is the degree to which components of a measure or artifact produce mutually consistent, noncontradictory results or statements.
• redundancyproduced by · Redundancy is the presence of duplicate or overlapping information, components, or resources, whether intentional or unnecessary.
• replicationaddressed by · Replication is the creation or maintenance of multiple copies of data, state, or functionality across separate locations or components.

This explainer was generated by Manning's knowledge graph from the text of Effective Platform Engineering. The section links point to the parts of the book it draws on.