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What are the best CI metrics to identify and resolve issues with your APIs?

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If you are developing and deploying APIs in the cloud, you need to monitor their performance and quality continuously. Continuous integration (CI) is a practice that helps you automate and streamline your testing and delivery processes. But how do you measure the effectiveness of your CI pipeline and identify and resolve issues with your APIs? In this article, we will explore some of the best CI metrics that can help you achieve these goals.

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Hamid Sadeghpour Saleh

Microsoft MVP | Solutions Architect | Advisor | Trainer | Community Builder

1 Test coverage

Test coverage is a metric that indicates how much of your code is executed by your test cases. It can help you assess the quality and reliability of your APIs and identify gaps or risks in your testing strategy. Ideally, you want to achieve high test coverage for your APIs, especially for the critical and complex functionalities. However, test coverage alone is not enough to ensure the correctness of your APIs. You also need to consider the types, levels, and scenarios of your tests, as well as the code quality and maintainability.

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Hamid Sadeghpour Saleh

Microsoft MVP | Solutions Architect | Advisor | Trainer | Community Builder
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Test coverage is a valuable metric used to evaluate the extent to which your test cases execute your code. This metric aids in assessing the quality and reliability of your APIs, offering insights into testing strategy gaps and potential risks. While high test coverage is desirable, especially for critical and complex functionalities, it's crucial to note that test coverage alone does not guarantee API correctness. Other factors like test types, levels, and scenarios, as well as code quality and maintainability, also play significant roles in ensuring the overall quality of your APIs.

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2 Test duration

Test duration is a metric that measures how long it takes to run your test suite. It can help you evaluate the efficiency and scalability of your CI pipeline and your APIs. You want to keep your test duration as short as possible, without compromising the quality and coverage of your tests. Long test duration can slow down your feedback loop, increase your costs, and delay your delivery. To reduce your test duration, you can use techniques such as parallelization, prioritization, and optimization of your test cases and resources.

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Hamid Sadeghpour Saleh

Microsoft MVP | Solutions Architect | Advisor | Trainer | Community Builder
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Test duration is a crucial metric that gauges the time required to execute your test suite. It serves as an indicator of your CI pipeline and API efficiency and scalability. Ideally, you aim to minimize test duration while still ensuring the quality and coverage of your tests. Lengthy test durations can lead to delayed feedback, increased costs, and project delays. To trim down your test duration, consider implementing strategies such as parallelization, prioritization, and optimization of test cases and resources.

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3 Test results

Test results are a metric that shows the outcome of your test cases. They can help you identify and resolve issues with your APIs and ensure their functionality and compatibility. You want to achieve high test results, meaning that most of your test cases pass and few of them fail or are skipped. Test results can also provide you with useful information such as error messages, logs, screenshots, and reports that can help you debug and fix your issues. You can use tools such as test management and reporting systems to track and analyze your test results.

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4 Code quality

Code quality is a metric that reflects the readability, maintainability, and security of your code. It can help you improve the performance and stability of your APIs and reduce technical debt and vulnerabilities. You want to achieve high code quality, meaning that your code follows the best practices, standards, and conventions of your programming language and framework. Code quality can be measured by using tools such as code analysis, code review, and code scanning that can detect and highlight issues such as bugs, errors, smells, and violations.

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Hamid Sadeghpour Saleh

Microsoft MVP | Solutions Architect | Advisor | Trainer | Community Builder
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Code quality is a critical metric that gauges the readability, maintainability, and security of your code. It plays a key role in enhancing the performance and stability of your APIs while reducing technical debt and vulnerabilities. The goal is to maintain high code quality, which entails adhering to best practices, standards, and conventions of your chosen programming language and framework. Code quality can be assessed using various tools, including code analysis, code review, and code scanning, which can identify and pinpoint issues such as bugs, errors, code smells, and violations.

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5 Deployment frequency

Deployment frequency is a metric that indicates how often you release your APIs to your target environment. It can help you measure the speed and agility of your CI pipeline and your APIs. You want to achieve high deployment frequency, meaning that you can deliver your APIs frequently and reliably to your customers and users. Deployment frequency can be influenced by factors such as your release strategy, your automation level, your testing quality, and your customer feedback. You can use tools such as deployment automation, version control, and feature flags to manage and monitor your deployment frequency.

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6 Availability and performance

Availability and performance are metrics that show how well your APIs are functioning and responding in your target environment. They can help you monitor and optimize the user experience and satisfaction of your APIs. You want to achieve high availability and performance, meaning that your APIs are always accessible and responsive to your customers and users. Availability and performance can be affected by factors such as your network, your infrastructure, your load, and your errors. You can use tools such as monitoring, alerting, and tracing systems to measure and improve your availability and performance.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the best CI metrics to identify and resolve issues with your APIs?

1

2

3

4

5

6

7

1 Test coverage

2 Test duration

3 Test results

4 Code quality

5 Deployment frequency

6 Availability and performance

7 Here’s what else to consider

Cloud Computing

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What are the best CI metrics to identify and resolve issues with your APIs?

1

2

3

4

5

6

7

1 Test coverage

2 Test duration

3 Test results

4 Code quality

5 Deployment frequency

6 Availability and performance

7 Here’s what else to consider

Cloud Computing

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