InfoQ Homepage Metrics Content on InfoQ
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Grafana Tempo Introduces New Query Language and Support for Apache Parquet
Grafana has released Grafana Tempo 2.0 which introduces the new TraceQL query language and support for the Apache Parquet format. Grafana Tempo is an open-source tracing backend that works with object storage. The new TraceQL query language works with the Apache Parquet format to provide improved search times and queries aligned to traces.
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Grafana Adds Outlier Detection to Its Machine Learning Toolkit
Grafana has released outlier detection as part of their Grafana Machine Learning toolkit. Outlier detection can be used to monitor a group of similar things and be alerted when some of them start to behave differently than the norm.
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Prometheus Adds Long Term Support Model and Improved Remote Write Mode
Prometheus, the open-source monitoring tool, has added a number of new features including a reduced functionality remote write mode. Additional improvements include a new HTTP service discovery mechanism, native histogram support, additional integrations for Alertmanager, and a new long-term support model.
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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.