InfoQ Homepage Automated Deployment Content on InfoQ
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Cell-Based Architecture Adoption Guidelines
The challenges in building modern, reliable, and understandable distributed systems continue to grow, and cell-based architecture is a valuable way to accept, isolate, and stay reliable in the face of failures. Organizations must ensure that the cell-based architecture is the right fit for them and that the migration will not cause more problems than it solves.
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Delivering Software Securely: Techniques for Building a Resilient and Secure Code Pipeline
Your CI/CD pipeline can potentially expose sensitive information. Project teams often overlook the importance of securing their pipelines. This article covers approaches and techniques for securing your pipelines.
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Agile Rehab: Replacing Process Dogma with Engineering to Achieve True Agility
Struggling with your "agile transformation?" Is your scaling framework not providing the outcomes you hoped for? In this article, we’ll discuss how teams in a large enterprise replaced heavy agile processes with Conway’s Law and better engineering to migrate from quarterly to daily value delivery to the end users.
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Managing the Carbon Emissions Associated with Generative AI
There’s an increasing concern about the energy use and corresponding carbon emissions of generative AI models. And while the concerns may be overhyped, they still require attention, especially as generative AI becomes integrated into our modern life. Factors such as model architecture, transparency and quantization of models are required to decrease carbon emission from AI systems.
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Effective Test Automation Approaches for Modern CI/CD Pipelines
Shifting left can be used to improve test design and lead to faster, more effective CI/CD pipelines. By focusing on building effective and efficient tests, CI/CD runs can quickly return feedback.
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AIOps: Site Reliability Engineering at Scale
AIOps can simplify and streamline processes which can reduce the mental burden on employees while improving communication and collaboration between departments.
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How Not to Use the DORA Metrics to Measure DevOps Performance
The DORA metrics are the de facto measuring stick but they can be used incorrectly and drive poor behavior and performance. When using any metrics, a strong focus on the end goal must be maintained.
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Adopting an API Maturity Model to Accelerate Innovation
As your APIs gain more popularity, API sprawl can become an issue. A top-down governance approach is best suited to managing APIs at scale.
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Accelerating the Secure Software Delivery Lifecycle with GitOps
Building secure software can be complicated and time-consuming. By employing a GitOps model, security can be safely separated from development, simplifying the delivery process and increasing velocity.
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Improving CI/CD Pipelines through Observability
CI/CD pipelines are a vital addition to any workflow, but they can be further improved by the selective addition of observability. This article covers what data to monitor, which metrics to track, and how to best visualize the collected data.
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Article Series: Developing Apache Kafka applications on Kubernetes
Apache Kafka has integrations with most of the languages used these days, but in this article series, we cover its integration with Java. In this series, we also discuss how to provision, configure and secure an Apache Kafka cluster on a Kubernetes cluster.
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If Twitter Doesn’t Have a Staging Environment, Should Anyone?
With Twitter revealing they do not have a staging environment, how important is staging to delivering quality? When so many tasks are shifting to the developer these days and no one best developer approach fits all, how do dev teams determine the best developer methodology for them and their company?