# control-plane A control plane is the administrative component or set of operations used to create, manage, and govern computing resources, distinct from the data plane that provides the resources' primary runtime capabilities. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Kubernetes Architecture: Control Plane, Scheduler, and Kubelet DevFeed: [Kubernetes Architecture: Control Plane, Scheduler, and Kubelet]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-09-17T06:25:02Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Kubernetes](), [control-plane](), [api server](), [Containers](), [etcd](), [kubectl]() Tags: [api](), [api-server](), [containers](), [control-plane](), [controllers](), [etcd](), [kubectl](), [kubernetes](), [kubernetes-architecture](), [kubernetes-networking](), [node](), [scheduler]() ### AI overview A beginner-friendly tutorial explaining how Kubernetes maintains the desired state of containerized applications. It covers the control plane, API server, etcd, controllers, scheduler, and kubelet. ### Source excerpt Learn how Kubernetes works, from the control plane and scheduler to kubelet, pods, and Services, with simple answers to interview questions. ## Why Senior Leaders Should Attend Post-Incident Reviews for Major Cloud Incidents DevFeed: [Why Senior Leaders Should Attend Post-Incident Reviews for Major Cloud Incidents]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-08-29T00:00:00Z Content type: opinion Language: en Sources: [Sridhar Rajarao]() Topics: [incident](), [Cloud](), [control-plane](), [Deployment]() Tags: [cloud](), [control-plane](), [customers](), [deploy](), [incident](), [incident-management](), [leadership](), [major](), [operations](), [post](), [postmortems](), [reliability](), [review](), [service]() ### AI overview The article argues that senior leaders should attend Post Incident Reviews for major cloud incidents because failures can affect many customers and teams. Leadership helps approve cross-team changes, resolve trade-offs, and ensure corrective actions are completed. ### Source excerpt For major incidents, a Post Incident Review is not an operations meeting. It is where leaders remove the blockers that keep the service from becoming safer. ## Building a Minimal Control Plane to Reconcile Docker Containers for Model Serving DevFeed: [Building a Minimal Control Plane to Reconcile Docker Containers for Model Serving]() Original publisher: [Read original article]() Published: 2026-07-02T00:00:00Z Content type: tutorial Language: en Sources: [Alex Korbonits]() Topics: [control-plane](), [model-serving](), [Docker Container](), [Amazon Machine Learning](), [Streaming]() Tags: [container](), [control-plane](), [inference](), [model-serving](), [python]() ### AI overview The author explains control planes by building a small Python-based system that maintains a declared number of Docker containers for model serving. The system repeatedly compares desired and actual state and reconciles differences, including restoring a container after it stops. ### Source excerpt I can design batch, real-time, and streaming inference -- the data plane. But I'd never built the control plane that manages it. So I built the smallest one I could, from scratch, to finally understand reconciliation: the one idea that separates a control plane from a deploy script. ## How to build a resilient platform control plane with Temporal DevFeed: [How to build a resilient platform control plane with Temporal]() Original publisher: [Read original article]() Author: Joshua Smith Published: 2026-06-01T00:00:00Z Content type: tutorial Language: en Sources: [Temporal Blog]() Topics: [control-plane](), [Provisioning](), [Python](), [SDKs](), [API]() Tags: [build](), [error-handling](), [how-to](), [infrastructure](), [lifecycle](), [provisioning](), [python](), [retries](), [sdk](), [workflow]() ### AI overview This tutorial explains how to build a resilient platform control plane with Temporal. It compares basic infrastructure Workflows with long-running Entity Workflows that manage a resource's lifecycle, including message handling, retries, compensation, and durable state. ### Source excerpt Learn how to build a resilient platform control plane with Temporal using the Entity Workflow pattern: message handling, Continue-as-New, and compensation. ## Storage at scale: what I actually watched DevFeed: [Storage at scale: what I actually watched]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-05-28T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [dashboards](), [site-reliability-engineering](), [Latency](), [Availability](), [control-plane](), [Databases](), [Replication]() Tags: [availability](), [control-plane](), [database](), [latency](), [metrics](), [reliability](), [replication](), [service](), [sre](), [storage]() ### AI overview An SRE practitioner describes seven metrics for judging the health of a large-scale storage service, covering availability, durability, latency, synthetic canaries, hotspots, IOPS, and metadata-database behavior. ### Source excerpt For eight years I ran SRE for a storage system measured in exabytes. The dashboard I checked every morning shrank to seven numbers. Here they are. ## Kube-Agents: an intent-driven presentation layer for Kubernetes DevFeed: [Kube-Agents: an intent-driven presentation layer for Kubernetes]() Original publisher: [Read original article]() Author: Google Open Source (noreply@blogger.com) Published: 2026-05-21T18:30:00Z Content type: opinion Language: en Sources: [Google Open Source Blog]() Topics: [Kubernetes](), [control-plane](), [API](), [YAML]() Tags: [agents](), [api](), [autonomous](), [control-plane](), [kube-agents](), [kubectl](), [kubernetes](), [yaml]() ### AI overview The article presents Kube-Agents, a proposed system of autonomous and human-in-the-loop agents that would provide an intent-driven presentation layer for Kubernetes. It describes agents that complement existing Kubernetes interfaces by observing cluster state and carrying out operations through existing APIs. ### Source excerpt by Adrian Chung, Abdelfettah Sghiouar & Matt Larkin, Google Kubernetes Engine Empowering every engineer to do more with Kubernetes Kubernetes is the gold standard for container orchestration. Its power, flexibility, and rich API surface are exactly why it has become the foundation of modern cloud-first infrastructure. Today, engineers express that power through the K8s API, declarative YAML manifests, and cloud consoles, a remarkably expressive toolbox. We believe the next step is to expand how engineers interact with that toolbox. A Kubernetes expert should be able to converse with a deep-domain peer that speaks fluent control-plane and can reason about cluster state in real time. An engineer who isn't a Kubernetes specialist should be able to express higher-order intent, such as "deploy my application," "rebalance this workload" and have it carried out safely against the same powerful APIs. Both audiences get more leverage out of the platform they already trust. This is the vision behind Kube-Agents: a system of intelligent, autonomous, and human-in-the-loop agents that act as a new, intent-driven presentation layer for Kubernetes. We are moving from declarative intent via API to higher-order, human intent-driven operations while preserving everything that makes Kubernetes great underneath. The Vision: Expanding the Presentation Layer Today, engineers do impressive work stitching together metrics, alerts, and multi-step commands to keep clusters healthy. Agents extend that work, not replace it. By complementing existing interfaces with autonomous agents, engineers can choose the level of abstraction that fits the task: drop down to kubectl and YAML when precision matters, or describe intent in plain language when speed and clarity matter more. The agents continuously observe system state and can execute complex operations in real time on the engineer's behalf. This isn't about hiding Kubernetes. It's about giving every engineer a more capable collaborator on top o ## Temporal as a control plane for production agentic AI systems DevFeed: [Temporal as a control plane for production agentic AI systems]() Original publisher: [Read original article]() Author: Joshua Smith Published: 2026-04-23T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Orchestration](), [Artificial Intelligence](), [control-plane](), [Architecture & Design]() Tags: [agentic](), [agentic-ai](), [ai](), [cost](), [enterprise](), [guardrails](), [observability](), [orchestration](), [temporal-voices](), [versioning]() ### AI overview The article explains how Temporal can help turn agentic AI prototypes into production systems. It describes agent patterns including conversational agents and event stream processors, and discusses orchestration, guardrails, observability, versioning, and cost controls. ### Source excerpt Learn how Temporal bridges the gap between agentic AI demos and production-ready systems -- with guardrails, observability, versioning, and cost controls built in. ## Why your platform control plane belongs on Temporal DevFeed: [Why your platform control plane belongs on Temporal]() Original publisher: [Read original article]() Author: Joshua Smith Published: 2026-03-31T00:00:00Z Content type: opinion Language: en Sources: [Temporal Blog]() Topics: [control-plane](), [Automation](), [Orchestration](), [Terraform]() Tags: [automation](), [control-plane](), [error](), [infrastructure](), [orchestration](), [platform](), [platform-teams](), [provisioning](), [scripts](), [self-service](), [temporal-voices]() ### AI overview This article argues that Temporal can serve as a durable backbone for platform teams building internal control planes. It describes the difficulty of managing infrastructure across creation, monitoring, upgrades, configuration changes, and decommissioning, and contrasts Temporal's orchestration model with Terraform's declarative provisioning and reconciliation focus. ### Source excerpt Discover why platform teams use Temporal to build resilient internal control planes. Learn how Durable Execution solves brittle infrastructure automation. ## Replay '25 Day Three: Technical Deep Dives and Temporal Case Studies DevFeed: [Replay '25 Day Three: Technical Deep Dives and Temporal Case Studies]() Original publisher: [Read original article]() Author: Tim Imkin Published: 2025-03-07T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [reliability](), [Resilience](), [Databases](), [Automation](), [Amazon Web Services](), [Haskell](), [Kubernetes](), [Access Control](), [systems](), [Testing](), [control-plane](), [Artificial Intelligence]() Tags: [access-control](), [ai](), [automation](), [aws](), [case-studies](), [community](), [control-plane](), [haskell](), [kubernetes](), [monitoring](), [reliability](), [resilience](), [technical]() ### AI overview A recap of the final day of Replay '25, covering reliability, database automation, production patterns, enterprise adoption, and mission-critical applications built with Temporal. ### Source excerpt The final day of Replay '25 delivered a mix of technical deep dives and real-world case studies before concluding with an unexpected twist. ## Building durable cloud control systems with Temporal DevFeed: [Building durable cloud control systems with Temporal]() Original publisher: [Read original article]() Author: Sergey Bykov Published: 2025-01-16T00:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Cloud](), [Architecture & Design](), [Cloud Architecture](), [Multi-tenancy](), [control-plane](), [Scalability](), [Managed Services](), [reliability](), [Resilience]() Tags: [architecture](), [cell-based-architecture](), [cloud](), [cloud-services](), [database](), [high-availability](), [how-to](), [low-latency](), [managed-services](), [multi-tenancy](), [reliability](), [resilience](), [scalability]() ### AI overview Temporal describes how it built Temporal Cloud as a managed service, emphasizing multi-tenancy, durable execution, and a separation between data-plane and control-plane responsibilities. It also explains using cell-based architecture to isolate resources and limit the impact of failures. ### Source excerpt Explore how Temporal leverages durable execution, multi-tenancy, and cell-based architecture to build scalable, reliable cloud control systems. Learn key lessons and insights for managed cloud services. ## Temporal Cloud: 1,000 customers, 1,000 thank yous DevFeed: [Temporal Cloud: 1,000 customers, 1,000 thank yous]() Original publisher: [Read original article]() Author: Maxim Fateev Published: 2024-04-16T04:00:00Z Content type: news Language: en Sources: [Temporal Blog]() Topics: [Cloud](), [Open Source](), [SDKs](), [control-plane](), [Users]() Tags: [announce](), [announcements](), [cloud](), [control-plane](), [customers](), [latency](), [open-source](), [releases](), [sdks](), [users]() ### AI overview Temporal announces that Temporal Cloud surpassed 1,000 customers in under a year and a half. The company also estimates that more than 200,000 developers use its SDKs and highlights its open-source project, releases, and platform architecture. ### Source excerpt We're thrilled to announce that Temporal Cloud has surpassed 1,000 customers in just under a year and a half!