InfoQ Homepage Kubernetes Content on InfoQ
-
/articles/adoption-curve-twenty/en/smallimage/20-birthday-InfoQ-thumb-image-updated-1780931679034.jpg)
The Technology Adoption Curve, Twenty Years On
Today, June 8th, InfoQ celebrates 20 years. This is not a comprehensive history, but a deliberately selective look at the technologies and practices InfoQ identified early, where they sit on the adoption curve in 2026, and how that curve may evolve over the next five to ten years.
-
/articles/spark-oom-kubernetes-misconfigurations/en/smallimage/spark-oom-kubernetes-misconfigurations-thumbnail-1780044756757.jpg)
Two Misconfigurations That Caused Spark OOM Failures on Kubernetes
After migrating Spark pipelines to Azure Kubernetes Service, two infrastructure settings interacted destructively: spark.kubernetes.local.dirs.tmpfs=true backed shuffle spill with RAM instead of disk, and a hard podAffinity rule forced all executors onto one node. Together, they caused repeated OOM kills invisible to standard diagnostics.
-
/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.
-
/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.
-
/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.
-
/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.
-
/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.
-
/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.
-
/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.
-
/articles/kubernetes-logging-enhanced-observability/en/smallimage/elevating-kubernetes-logging-for-enhanced-observability-small-1718097320479.jpg)
Elevating Kubernetes Logging for Enhanced Observability
In this article, we will explore the challenges, strategies, and best practices that will help you achieve seamless log management in your Kubernetes environment.
-
/articles/config-maps-with-spring-boot/en/smallimage/GettyImages-1618795109-small-1717500032721.jpg)
Optimizing Spring Boot Config Management with ConfigMaps: Environment Variables or Volume Mounts
Spring Boot stands out as a viable framework for its agility and streamlined workflow. Yet, effective configuration management remains a pivotal factor influencing deployment efficiency and ongoing maintenance. ConfigMaps, a feature in Kubernetes, provides configuration strategies for Spring Boot applications.
-
/articles/kubernetes-bin-packing/en/smallimage/optimizing-resource-utilization-the-benefits-challenges-of-bin-packing-in-kubernetes-small-1698402445145.jpg)
Optimizing Resource Utilization: the Benefits and Challenges of Bin Packing in Kubernetes
Optimizing Kubernetes usage is an important part of a responsible cloud strategy. Bin packing is an effective strategy for maximizing the usage of each node.