InfoQ Homepage Kubernetes Content on InfoQ
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Containers in 2019: They're Calling it a [Hypervisor] Comeback
The 2019 news cycle within the "cloud native" corner of the world has been abuzz with a word previously thought outmoded by the rapid rise of containers: “hypervisor.” This article explores the motivations behind this, focusing on security, user experience, and isolation flexibility, and concludes by speculating on the future direction of development within the cloud and container industry.
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Implementing Policies in Kubernetes
The author explains what Kubernetes policies are, and how they can help you manage and secure the Kubernetes cluster. We will also look at why we need a policy engine to author and manage policies.
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Cellery: A Code-First Approach to Deploy Applications on Kubernetes
Cellery is a code-first approach to building, integrating, running, and managing composite applications on Kubernetes, using a cell-based architecture. Learn what cells are, how Cellery works, and see how an existing Kubernetes application written by Google can be deployed, managed, and observed using Cellery.
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Kubernetes Workloads in the Serverless Era: Architecture, Platforms, and Trends
Explore how microservices architecture has evolved into cloud-native architecture, where many of the infrastructure concerns are provided by Kubernetes in combination with additional abstractions provided by service mesh and serverless frameworks. In addition, the serverless ecosystem is evolving by exploring standard and open packaging, runtimes, and event formats.
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API Gateways and Service Meshes: Opening the Door to Application Modernisation
Modernising applications by decoupling them from the underlying infrastructure on which they are running can enable innovation, reduce costs, and improve security. An API Gateway can decouple applications from external consumers, and a service mesh decouples applications from internal consumers.
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To Multicluster, or Not to Multicluster: Inter-Cluster Communication Using a Service Mesh
Communication within Kubernetes clusters is a solved issue, but communication across clusters requires more design and operational overhead. Before deciding on whether to implement multicluster support, you should understand your communication use case.
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DevOps and Cloud InfoQ Trends Report - February 2019
An overview of how the InfoQ editorial team sees the "cloud" and "DevOps" topics evolving in 2019, which focuses on platforms and practices that are being de facto standards and emerging technologies.
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Four Techniques Serverless Platforms Use to Balance Performance and Cost
There are two aspects that have been key to the rapid adoption of serverless computing: the performance and the cost model. This article looks at those aspects, the tradeoffs, and opportunity ahead.
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Ambassador: Building a Control Plane for an Envoy-Powered API Gateway on Kubernetes
This article provides an insight into the creation of the Ambassador open source API gateway for Kubernetes, and discusses the technical challenges and lessons learned from building a developer-focused control plane for managing ingress or "edge" traffic within microservice-based applications.
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Service Catalog and Kubernetes
Cloud-native applications do not just live inside Kubernetes—they also benefit from using the available cloud managed services. Similar to Kubernetes' declarative object configuration model, the Open Service Broker API with the Service Catalog provides a declarative way to describe cross-platform/cross-cloud managed service dependencies.
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Virtual Panel: Kubernetes and the Challenges of Multi-Cloud
Kubernetes is eliminating vendor lock-in and enabling cloud portability. In this panel, the panelists talk about what multi-cloud means as more than a common platform on multiple clouds.
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Scaling a Distributed Stream Processor in a Containerized Environment
The article presents our experience of scaling a distributed stream processor in Kubernetes. The stream processor should provide support for maintaining the optimal level of parallelism. However, adding more resources incurs additional cost and also it does not guarantee performance improvements. Instead, the stream processor should identify the level of resource requirement and scale accordingly.
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From Docker to Kubernetes: Container Networking 101
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