InfoQ Homepage IT Service Management Content on InfoQ
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Embracing Cloud-Native for Apache DolphinScheduler with Kubernetes: a Case Study
This article shares how Apache DolphinScheduler was updated to use a more modern, cloud-native architecture. This includes moving to Kubernetes and integrating with Argo CD and Prometheus. This improves substantially the user experience of deploying, operating, and monitoring DolphinScheduler.
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Sustaining Fast Flow with Socio-Technical Thinking
To sustain a fast flow of changes over long periods of time, organizations address both the social and technical, socio-technical, aspects of reducing complexity. Examples are incentivising good technical practices to keep code maintainable, architecting systems to minimize dependencies and maximize team motivation, and leveraging platforms to preclude whole categories of infrastructure blockers.
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How to Best Use MTT* Metrics to Optimize Your Incident Response
Selecting the correct MTT* metric to improve your incident response is important. If the wrong metric is chosen, the improvements may get lost in the noise of a multivariable equation. This article reviews the various MTT* metrics available and discusses the best scenarios for selecting each one.
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Continuous Portfolio Management as a Contributor for Achieving Highly-Aligned, Loosely-Coupled Teams
There is a business need for fast software delivery in order to frequently test business hypotheses and drive development based on the resulting feedback. Organizations need to rapidly decide on what to build next, using a short feedback loop that greatly reduces the risk of running on untested assumptions for too long. This article explores a journey towards continuous portfolio management.
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Using Machine Learning for Fast Test Feedback to Developers and Test Suite Optimization
Software testing, especially in large scale projects, is a time intensive process. Test suites may be computationally expensive, compete with each other for available hardware, or simply be so large as to cause considerable delay until their results are available. The article explores optimizing test execution, saving machine resources, and reducing feedback time to developers.
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InfoQ Mobile and IoT Trends Report 2022
This report summarizes the views of the InfoQ editorial team and of several practitioners from the software industry about emerging trends in a number of areas that we collectively label the mobile and IoT space. This is a rather heterogeneous space comprising devices and gadgets from smartphones to smart watches, from IoT appliances to smart glasses, voice-driven assistants, and so on.
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Safe and Fast Deploys at Planet Scale
At QCon Plus, Mathias Schwarz, a software engineer at Uber, presented safe and fast deploys at planet scale. Uber is a big business and has several different products. They are, in most cases, deployed to dozens or hundreds of markets all over the world.
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Faster Financial Software Development Using Low Code: Focusing on the Four Key Metrics
Low code/no code can help firms achieve the four key performance metrics described in the State of DevOps Reports and Accelerate, to achieve a faster pace of software development. Financial services especially stand to benefit from the trend of adopting low code/no code to drive digital transformation.
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Engineering Digital Transformation for Continuous Improvement
Engineering The Digital transformation leverages manufacturing's successful track record of improving productivity and quality and organizational change management principles. It's a training program designed to reduce the barriers to change, enable teams to understand good design patterns, and ultimately allow organizations to create a systematic approach to continuous improvement.
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Mobile DevSecOps Is the Road to Mobile Security
In this article, I’ll discuss some of the most common security deficiencies in mobile apps and explain the potential risks to consumers, app developers, and brands, as well how to break the cycle of poor app security, using automated, rapid, continuous, and iterative deployment.
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Is Artificial Intelligence Taking over DevOps?
AI tools are slowly replacing the role of the developer – just as DevOps did before – and will eventually supplant DevOps entirely. Assessing whether that prediction is true is tricky. In this article, we’ll look at what AI promises for the development process, assess whether it can really ever take over from human developers, and what DevOps is likely to look like in a decades’ time.
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AIOps Strategies for Augmenting Your IT Operations
AIOps techniques can be used to decrease the workload on IT Operations teams while also improving outage resolution time and increasing innovation. In implementing AIOps strategies it is important to start small and have measurable KPIs to track progress and performance.