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SAFe certification: launch your Scaled Agile Framework career

CIO

Scaled Agile Framework (SAFe) certifications are becoming valuable in larger organizations looking for efficient project delivery, reduced time-to-market, and ways to provide better stakeholder value. Scaled Agile: Scaled Agile is a key provider of agile training, courses, and certification, including SAFe.

Agile 246
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Software Engineering Daily: Feature Flags with Edith Harbaugh

LaunchDarkly

In episode 729 of Software Engineering Daily, Jeff Meyerson talks with our own Edith Harbaugh, CEO and Co-founder of LaunchDarkly, about feature flagging. Edith shares insights around implementing feature flags, how they can be used to better control product releases, and how they can be used for testing and validation.

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How to get started with your test automation strategy

Agile Engine

Automated testing relies on programming languages, specialized frameworks like Selenium or Cypress, or no-code and low-code tools to develop software tests and can also manage test data and analyze results more efficiently, ultimately enhancing the software quality assurance process.

Testing 52
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Stop Coding in the Dark – and Bring Data-Driven Insights to Engineering

Battery Ventures

This overall shift transformed productivity and decision making so much that in all likelihood, organizations are never going back. But there’s an outlier here: software engineering. This has increased the complexity in delivering quality code while impacting the core tenets of engineering productivity.

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What Is a Feature Flag? Best Practices and Use Cases

Honeycomb

In agile environments, you can use toggles during runtime to enable or disable a given feature on demand, for some or all users. Observability engineering is the ability to collect data about a program’s execution, modules’ internal states, and the communication between all components.

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What is DataOps? Collaborative, cross-functional analytics

CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325
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Practical Skills for The AI Product Manager

O'Reilly Media - Ideas

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.