InfoQ Homepage Metrics Content on InfoQ
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How We Can Use Data to Improve System Quality
To understand how systems are being used, we can collect metrics and identify trends over time. The data and insights gained can be used to improve system quality by improving software design or testing patterns.
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Using the Technical Debt Metaphor to Communicate Code Quality
With technical debt, we end up paying a gradually rising cost. The technical debt metaphor was intended as a way to help us talk and think about the invisibility of decisions and qualities in code. Kevlin Henney gave a keynote about Six Impossible Things at QCon London 2022 and at QCon Plus May 10-20, 2022. His sixth impossibility was technical debt is quantifiable as financial debt.
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Can MTTR Be an Effective Business Metric?
In a recent blog post, Sidu Ponnappa shared how MTTR should be a key business metric to measure engineering efficiency. Ponnappa notes that only tracking uptime provides no goals to target for improvements. In a recent talk at SREcon22, Courtney Nash, senior research analyst at Verica, shared that MTTR can misrepresent what is actually happening during incidents and can be an unreliable metric.
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Performance Testing Should Focus on Trends
Performance testing starts by setting a baseline and defining the metrics to track together with the development team. Nikolay Avramov advises executing performance tests and comparing the results frequently during development to spot degrading performance as soon as possible.
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What's New in MicroProfile 5.0
Delivered under the auspices of the MicroProfile Working Group and five months after the release of MicroProfile 4.1, the anticipated release of MicroProfile 5.0 was made available to the Java community. This new release features alignment with Jakarta EE 9.1 and updates to all eight community-developed core APIs and one standalone API.
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Scaling Video Quality Measurements at Netflix with Cosmos
Netflix relies heavily on measuring perceptual video quality for different business purposes. As metrics evolve and become part of more workflows, their measurement tool needs to scale too. Netflix recently described how a new video quality measurement workflow was implemented using Cosmos microservices to foster innovation in quality metrics, with good scalability and loose data coupling.
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Leading a DevOps Transformation - a Collaborative Engineering Approach
When leading a DevOps transformation, transparency and visibility can help to get teams engaged in chance. Once involved, developers can act as knowledge multipliers and contribute to change initiatives. A mixture of solving frequently-occurring problems, addressing complex problems, and showing progress of the transformation can help to keep stakeholders involved.
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Experiences from Measuring the DevOps Four Key Metrics: Identifying Areas for Improvement
Measuring the four key metrics of IT helped a company to assess the performance of their software delivery process. Continuous observation of these metrics supports decisions on where to invest and guides performance improvements.
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OpenTelemetry Moves Python and Swift Tracing API/SDKs to 1.0
OpenTelemetry released version 1.0 of the Python and Swift distributed tracing API and SDK. They both include OpenTelemetry API support, SDKs, exporters to common telemetry formats, and getting started materials. The Python release is considered stable whereas the Swift release is still in beta.
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Atlassian Open DevOps Integrates Jira with Tools Like GitHub and Datadog
Atlassian has released Open DevOps, their new platform offering integrating Atlassian products and partner offerings. Open DevOps integrates Jira Software, Confluence, Bitbucket, and Opsgenie into a single project. It is possible to integrate with other tools, such as GitHub and Datadog, with minimal integration.
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SPACE, a New Framework to Understand and Measure Developer Productivity
A recent paper by researchers at GitHub, University of Victoria, and Microsoft delves into developer productivity to propose a new approach to defining, measuring and predicting it. InfoQ has taken the chance to speak with the paper lead author, GitHub vice-president of research & strategy Nicole Forsgren.
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OpenTelemetry Specification Reaches 1.0 with Stability Guarantees and New Release Candidates
The OpenTelemetry specification has been promoted to v1.0.0. This milestone includes improved stability and backwards compatibility guarantees, as well as API and SDK release candidates available for a number of languages. With this release, both the tracing API and the tracing SDK are considered stable.
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Lightstep Connects Tracing and Metrics with New Change Intelligence Feature
Lightstep has released a number of improvements to their observability platform. These include native support for OpenTelemetry metrics, a new underlying time series database, and Change Intelligence, a new feature that looks to connect unusual patterns with impacting changes by bringing together system metrics and trace data.
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Airbnb: Using Guardrails to Identify Changes with Negative Impact across Teams
Airbnb rolled out an internal Experiment Guardrails system to identify potentially negative impacts of changes across different teams. Whenever a proposed change does not pass any of the guardrails, it is escalated for further analysis by affected teams and stakeholders, explains Airbnb data scientist Tatiana Xifara.
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What's New in MicroProfile 4.0
Delivered under the newly-formed MicroProfile Working Group, the much anticipated release of MicroProfile 4.0 was made available to the Java community. Features include alignment with Jakarta EE 8 and updates to all APIs. The standalone APIs remain unchanged. MicroProfile 4.0 was delivered with incompatible changes to five of the APIs, namely Config, Fault Tolerance, Health, Metrics and OpenAPI.