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J·BJon BishopIndependent growth marketer

Benchmarks · Software delivery performance research program

DORA Research 2024: coverage and access

Benchmark delivery-performance problems, frame developer-experience research, and connect engineering practices to outcomes when developing a B2B tooling business case. Its subject is the operating model of software engineering teams—the buyers and users of developer platforms, CI/CD, observability, and data/AI tooling.

What it covers

Geography and granularity

Geography: Use the geography stated by the source; coverage can vary by dataset and release.

Granularity: Benchmark delivery-performance problems, frame developer-experience research, and connect engineering practices to outcomes when developing a B2B tooling business case.

Source type: Software delivery performance research program

Potential use

Benchmark delivery-performance problems, frame developer-experience research, and connect engineering practices to outcomes when developing a B2B tooling business case. Its subject is the operating model of software engineering teams—the buyers and users of developer platforms, CI/CD, observability, and data/AI tooling.

Access and cost

Public download

Public DORA research page with a report download; the page identifies the report as published by Google Cloud and supported by sponsors.

Cost: Current price was not established in this review; check the provider's access terms.

Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

Interpret carefully

Limits that affect the decision

Survey-based benchmarks are not a universal causal or financial benchmark; definitions, respondent mix, and year-to-year methodology should be checked before comparisons.

Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

This record summarizes source documentation; Jon Bishop did not conduct an independent audit of the underlying dataset.

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