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Metrics Matter: The 4 Types of Code-Level Data OverOps Collects

OverOps

To answer this question, we recently created a framework that helps organizations pinpoint critical gaps in data and metrics that are holding them back on their reliability journeys. Code Metrics. Transactions & Performance Metrics. System Metrics. Are there any blocked threads related to this failure?

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Unlocking the potential of generative AI in the software development life cycle

CIO

The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. These challenges persist because companies still rely on traditional SDLC management methods, which can result in slow, error-prone processes. Result: 70% more efficient.

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How OverOps Can be Used as a Learning Platform for Junior Developers

OverOps

The Software Development Life Cycle (SDLC). There are many forms of Software Development Life Cycle (SDLC) in use across the industry today. Figure 1 (above) is a common SDLC used in many companies. This SDLC has a secondary process loop for fixing bugs but the customer is regularly involved in the process.

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How Agile Metrics can Boost your Product Development Process

RapidValue

That said, businesses need to be acquainted with an aspect of Agile called the agile metrics to effectively reap the benefits. What exactly is Agile Metrics? . Metrics could be defined as a system or a standard of measurement. While quantitatively measuring work, these metrics also enable teams to become self-aware.

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5 You’re Probably F**king Up Your Microservices

OverOps

There, we can see the full context of what caused the issue including which application, service or container was involved, the full stack trace and variable state at every frame, even if it’s distributed between a number of services or machines, plus system metrics and much more. .

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Is it worth measuring software developer productivity? CIOs weigh in

CIO

Measure business outcomes, not lines of code There are various measurement points throughout the software development lifecycle (SDLC), from idea generation to production stages, that should be monitored to ensure a smooth flow. “If A better one is an enterprise productivity metric that focuses on outcomes delivered to customers.”

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MergeStat channels open source and SQL to bring ‘operational analytics’ to software engineering

TechCrunch

The platform itself includes a management interface and a PostgreSQL database, with MergeStat synchronizing data from various software development lifecycle (SDLC) sources into the main PostgreSQL database. Example pull request (PR) data derived via MergeStat.