Latest thinking
Ideas, guidance and points of view from the Avocado team — practical thinking on observability, quality engineering, cyber security and AI.
Why defects keep coming back (and it’s not a skills problem)
Recurring defects aren’t a skills issue. Improve defect practices to shorten triage, prevent repeats, and protect release confidence.
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Why Your Quality Metrics Aren’t Reducing Risk
Many organisations track testing activity but still struggle with release decisions. Learn how quality engineering metrics should reduce risk and ...
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Why your test suite keeps growing but coverage keeps shrinking
Test suites growing while coverage shrinks? Learn how risk-based design, traceability, & focused techniques cut bloat & boost releases.
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Your quality isn’t immature, it’s uneven.
Even with automation, AI and agile practices, quality can still break down. Discover why uneven quality creates risk & ways to boost maturity
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Process & strategy in QE: Why uneven Quality undermines delivery
Discover how misaligned process & strategy in Quality Engineering leads to uneven software quality, slower delivery, and operational risk.
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Observability vs Monitoring – what is the difference?
Monitoring tells you something is wrong. Observability tells you why. Learn the difference, the benefits and how to build a mature observability ...
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Identity Security – A practical guide
How attackers target identities now, what Australian obligations require, and six practical steps to strengthen identity and access management..
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Penetration testing: when you need it and what good looks like
When you need a penetration test, what we test, how we report findings, and how to turn results into prioritised remediation.
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Designing a Future-Ready Test Strategy That Incorporates AI
AI is no longer a future concept in testing, it’s already reshaping how quality engineering teams approach everything from regression testing to ...
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