InfoQ Homepage Containers Content on InfoQ
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/articles/securing-autonomous-ai-agents-kubernetes/en/smallimage/securing-autonomous-ai-agents-kubernetes-thumbnail-1777378848477.jpg)
Securing Autonomous AI Agents on Kubernetes: Trust Boundaries, Secrets, and Observability for a New Category of Cloud Workload
Autonomous AI agents break Kubernetes security assumptions with dynamic dependencies, multi-domain credentials, and unpredictable resource use. This article covers production-tested patterns: Job-based isolation, Vault for scoped short-lived credentials, a four-phase trust model from shadow mode to autonomous operation, and observability for non-deterministic reasoning cycles.
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/articles/enterprise-grade-observability-extension-docker/en/smallimage/enterprise-grade-observability-extension-docker-thumbnail-1775560652994.jpg)
Beyond One-Click: Designing an Enterprise-Grade Observability Extension for Docker
Docker Extensions boost developer speed but create a "visibility gap" by isolating telemetry. To meet enterprise needs, extensions must act as bridges to centralized platforms. This article details how to use OpenTelemetry, policy-as-code, and encryption to build secure pipelines. Learn to balance developer productivity with the governance required for scalable, compliant observability.
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/articles/proactive-autoscaling-edge-kubernetes/en/smallimage/proactive-autoscaling-edge-kubernetes-thumbnail-1770721062673.jpg)
Proactive Autoscaling for Edge Applications in Kubernetes
Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.
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/articles/cloud-devops-trends-2025/en/smallimage/the-infoq-trends-report-500x500-article-thumb-logo-1759825771348.jpeg)
InfoQ Cloud and DevOps Trends Report - 2025
This InfoQ Trends Report offers readers a comprehensive overview of emerging trends and technologies in the areas of Cloud and DevOps. This report summarizes the InfoQ editorial team’s and external guests' view on the current trends in Cloud and DevOps technologies and what to look out for in the next 12 months.
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/articles/docker-size-dive/en/smallimage/docker-size-dive-thumbnail-1751012053381.jpg)
Why Is My Docker Image So Big? A Deep Dive with ‘dive’ to Find the Bloat
AI images typically bloat from massive library installations and base OS components, with large Docker images slowing AI development and increasing costs. Chirag Agrawal demonstrates how to diagnose bloat using Docker's history and the interactive 'dive' tool to examine each layer in detail. The article shows how effective diagnosis leads to targeted optimizations.
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/articles/cloud-prem-architecture-challenges/en/smallimage/cloud-prem-architecture-challenges-thumbnail-1750753890389.jpg)
Engineering Principles for Building a Successful Cloud-Prem Solution
Discover how Cloud-Prem solutions combine cloud efficiency with on-premise control, meeting data sovereignty and compliance demands while optimizing operational costs and enhancing customer security.
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/articles/microservices-traffic-mirroring-istio-vpc/en/smallimage/microservices-traffic-mirroring-istio-vpc-thumbnail-1749024388746.jpg)
Using Traffic Mirroring to Debug and Test Microservices in Production-Like Environments
Traffic mirroring has evolved from a network security tool to a robust method for debugging and testing microservices using real-world data. By safely duplicating production traffic to a shadow environment, teams can replicate elusive bugs, profile performance under actual load, validate new features, and detect regressions, ensuring that production remains isolated and user experiences intact.
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/articles/checklist-kubernetes-production/en/smallimage/checklist-kubernetes-production-thumbnail-1741253230666.jpg)
Checklist for Kubernetes in Production: Best Practices for SREs
This article provides SREs with a checklist for managing Kubernetes in production environments. It identifies common challenges including resource management, workload placement, high availability, health probes, storage, monitoring, and cost optimization. By implementing consistent GitOps automation across these areas, teams can significantly reduce complexity, and prevent downtime.
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/articles/transforming-legacy-healthcare-systems/en/smallimage/transforming-legacy-healthcare-logo-small-1731055590401.jpg)
Transforming Legacy Healthcare Systems: a Journey to Cloud-Native Architecture
Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project, but an ongoing journey.
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/articles/cell-based-architecture-application-security/en/smallimage/cba-security-small-1729762783227.jpeg)
Securing Cell-Based Architecture in Modern Applications
Securing cell-based architecture is essential to fully capitalize on its benefits while minimizing risks. To achieve this, comprehensive security measures must be put in place. Organizations can start by isolating and containing cells using sandbox environments and strict access control mechanisms like role-based and attribute-based access control.
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/articles/webassembly-containers-dotnet-aspire/en/smallimage/WebAssembly-Containers-logo-small-1725518087283.jpg)
WebAssembly and Containers: Orchestrating Distributed Architectures with .NET Aspire
Running, composing, and debugging distributed applications on the local developer machine can be difficult, error-prone, and time-intensive. Those daily tasks could be dramatically simplified thanks to .NET Aspire. In this article, we will quickly dive into .NET Aspire and illustrate how you can orchestrate next-generation distributed applications.
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/articles/greenops-operational-efficiency/en/smallimage/GettyImages-487610623-small-1719225591916.jpg)
Using GreenOps to Improve Your Operational Efficiency and Save the Planet
Our infrastructures have environmental and economic costs; the IT sector is responsible for 1.4% of carbon emissions worldwide. GreenOps can be used to help mitigate this impact.