# istioctl Published articles for istioctl. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Istio Ambient Service Mesh Merged to Istio's Main Branch DevFeed: [Istio Ambient Service Mesh Merged to Istio's Main Branch]() Original publisher: [Read original article]() Author: John Howard (Google), Lin Sun (Solo.io) Published: 2023-02-28T00:00:00Z Content type: release Language: en Sources: [Istio Blog]() Topics: [istio](), [service-mesh](), [releases](), [Architecture & Design]() Tags: [ambient](), [ambient-mesh](), [deploy](), [infrastructure](), [istio](), [istioctl](), [mesh](), [microservices](), [releases](), [rust](), [service-mesh](), [services]() ### AI overview Istio ambient service mesh has graduated from an experimental branch and merged into Istio's main branch. The announcement describes changes to ztunnel and waypoint components, including a Rust rewrite, simpler waypoint configuration, new istioctl commands, and policy binding improvements, ahead of planned inclusion in Istio 1.18. ### Source excerpt Istio ambient service mesh was launched in Sept 2022 in an experimental branch, introducing a new data plane mode for Istio without sidecars. Through collaboration with the Istio community, across Google, Solo.io, Microsoft, Intel, Aviatrix, Huawei, IBM and others, we are excited to announce that Istio ambient mesh has graduated from the experimental branch and merged to Istio's main branch! This is a significant milestone for ambient mesh, paving the way for releasing ambient in Istio 1.18 and installing it by default in Istio's future releases. Major Changes from the Initial Launch Ambient mesh is designed for simplified operations, broader application compatibility, and reduced infrastructure cost. The ultimate goal of ambient is to be transparent to your applications and we have made a few changes to make the ztunnel and waypoint components simpler and lightweight. The ztunnel component has been rewritten from the ground up to be fast, secure, and lightweight. Refer to Introducing Rust-Based Ztunnel for Istio Ambient Service Mesh for more information. We made significant changes to simplify waypoint proxy's configuration to improve its debuggability and performance. Refer to Istio Ambient Waypoint Proxy Made Simple for more information. Added the istioctl x waypoint command to help you conveniently deploy waypoint proxies, along with istioctl pc workload to help you view workload information. We gave users the ability to explicitly bind Istio policies such as AuthorizationPolicy to waypoint proxies vs selecting the destination workload. Get involved Follow our getting started guide to try the ambient pre-alpha build today. We'd love to hear from you! To learn more about ambient: Join us in the #ambient and #ambient-dev channel in Istio's slack. Attend the weekly ambient contributor meeting on Wednesdays. Check out the Istio and ztunnel repositories, submit issues or PRs! ## Configuring istioctl for a remote cluster DevFeed: [Configuring istioctl for a remote cluster]() Original publisher: [Read original article]() Author: Frank Budinsky (IBM) Published: 2022-03-25T00:00:00Z Content type: tutorial Language: en Sources: [Istio Blog]() Topics: [istio](), [Command-line interface](), [control-plane](), [proxy](), [Kubernetes]() Tags: [cli](), [cluster](), [commands](), [control-plane](), [external](), [implementation](), [istio](), [istioctl](), [kubernetes](), [mesh](), [microservices](), [multicluster](), [proxy](), [remote](), [services]() ### AI overview A tutorial on configuring istioctl to work with remote clusters, external control planes, and multicluster Istio deployments. It explains why proxy-status cannot access remote istiod instances by default and how an external proxy service can aggregate responses from all instances. ### Source excerpt When using the istioctl CLI on a remote cluster of an external control plane or a multicluster Istio deployment, some of the commands will not work by default. For example, istioctl proxy-status requires access to the istiod service to retrieve the status and configuration of the proxies it's managing. If you try running it on a remote cluster, you'll get an error message like this: $ istioctl proxy-status Error: unable to find any Istiod instances Notice that the error message doesn't just say that it's unable to access the istiod service, it specifically mentions its inability to find istiod instances. This is because the istioctl proxy-status implementation needs to retrieve the sync status of not just any single istiod instance, but rather all of them. When there is more than one istiod instance (replica) running, each instance is only connected to a subset of the service proxies running in the mesh. The istioctl command needs to return the status for the entire mesh, not just the subset managed by one of the instances. In an ordinary Istio installation where the istiod service is running locally on the cluster (i.e., a primary cluster), the command is implemented by simply finding all of the running istiod pods, calling each one in turn, and then aggregating the result before returning it to the user. CLI with local access to istiod pods When using a remote cluster, on the other hand, this is not possible since the istiod instances are running outside of the mesh cluster and not accessible to the mesh user. The instances may not even be deployed using pods on a Kubernetes cluster. Fortunately, istioctl provides a configuration option to address this issue. You can configure istioctl with the address of an external proxy service that will have access to the istiod instances. Unlike an ordinary load-balancer service, which would delegate incoming requests to one of the instances, this proxy service must instead delegate to all of the istiod instances, aggregate t ## Introducing the Istio Operator DevFeed: [Introducing the Istio Operator]() Original publisher: [Read original article]() Author: Martin Ostrowski (Google), Frank Budinsky (IBM) Published: 2019-11-14T00:00:00Z Content type: release Language: en Sources: [Istio Blog]() Topics: [istio](), [Kubernetes](), [API](), [configuration](), [control-plane](), [upgrade]() Tags: [api](), [configuration](), [control-plane](), [crd](), [implementation](), [install](), [istio](), [istioctl](), [kubernetes](), [mesh](), [microservices](), [operator](), [services](), [troubleshooting](), [upgrade]() ### AI overview The article introduces the Istio Operator, a new operator-based method for installing, upgrading, and managing Istio configuration. It describes istioctl, validated API fields, custom resources, upgrade hooks, and the IstioControlPlane CRD. ### Source excerpt Kubernetes operators provide a pattern for encoding human operational knowledge in software and are a popular way to simplify the administration of software infrastructure components. Istio is a natural candidate for an automated operator as it is challenging to administer. Up until now, Helm has been the primary tool to install and upgrade Istio. Istio 1.4 introduces a new method of installation using istioctl. This new installation method builds on the strengths of Helm with the addition of the following: Users only need to install one tool: istioctl All API fields are validated Small customizations not in the API don't require chart or API changes Version specific upgrade hooks can be easily and robustly implemented The Helm installation method is in the process of deprecation. Upgrading from Istio 1.4 with a version not initially installed with Helm will also be replaced by a new istioctl upgrade feature. The new istioctl installation commands use a custom resource to configure the installation. The custom resource is part of a new Istio operator implementation intended to simplify the common administrative tasks of installation, upgrade, and complex configuration changes for Istio. Validation and checking for installation and upgrade is tightly integrated with the tools to prevent common errors and simplify troubleshooting. The Operator API Every operator implementation requires a custom resource definition (CRD) to define its custom resource, that is, its API. Istio's operator API is defined by the IstioControlPlane CRD, which is generated from an IstioControlPlane proto. The API supports all of Istio's current configuration profiles using a single field to select the profile. For example, the following IstioControlPlane resource configures Istio using the demo profile: apiVersion: install.istio.io/v1alpha2 kind: IstioControlPlane metadata: namespace: istio-operator name: example-istiocontrolplane spec: profile: demo You can then customize the configuration wi ## Introducing istioctl analyze DevFeed: [Introducing istioctl analyze]() Original publisher: [Read original article]() Author: David Ebbo (Google) Published: 2019-11-14T00:00:00Z Content type: release Language: en Sources: [Istio Blog]() Topics: [istio](), [debugging](), [Tooling]() Tags: [configuration](), [debugging](), [istio](), [istioctl](), [mesh](), [microservices](), [release](), [services](), [tool]() ### AI overview Istio 1.4 introduces istioctl analyze, an experimental diagnostic tool that analyzes Istio configuration, detects potential issues, and provides insights for improving clusters. It can analyze live clusters, local configuration files, or both, helping users identify problems before applying changes. ### Source excerpt Istio 1.4 introduces an experimental new tool to help you analyze and debug your clusters running Istio. istioctl analyze is a diagnostic tool that detects potential issues with your Istio configuration, as well as gives general insights to improve your configuration. It can run against a live cluster or a set of local configuration files. It can also run against a combination of the two, allowing you to catch problems before you apply changes to a cluster. To get started with it in just minutes, head over to the documentation. Designed to be approachable for novice users One of the key design goals that we followed for this feature is to make it extremely approachable. This is achieved by making the command useful without having to pass any required complex parameters. In practice, here are some of the scenarios that it goes after: "There is some problem with my cluster, but I have no idea where to start" "Things are generally working, but I'm wondering if there is anything I could improve" In that sense, it is very different from some of the more advanced diagnostic tools, which go after scenarios along the lines of (taking istioctl proxy-config as an example): "Show me the Envoy configuration for this specific pod so I can see if anything looks wrong" This can be very useful for advanced debugging, but it requires a lot of expertize before you can figure out that you need to run this specific command, and which pod to run it on. So really, the one-line pitch for analyze is: just run it! It's completely safe, it takes no thinking, it might help you, and at worst, you'll have wasted a minute! Improving this tool over time In Istio 1.4, analyze comes with a nice set of analyzers that can detect a number of common issues. But this is just the beginning, and we are planning to keep growing and fine tuning the analyzers with each release. In fact, we would welcome suggestions from Istio users. Specifically, if you encounter a situation where you think an issue could be ## Secure Webhook Management DevFeed: [Secure Webhook Management]() Original publisher: [Read original article]() Author: Lei Tang (Google) Published: 2019-11-14T00:00:00Z Content type: release Language: en Sources: [Istio Blog]() Topics: [istio](), [Kubernetes](), [Security](), [Cloud Native Ecosystem]() Tags: [certificate](), [certificates](), [istio](), [istioctl](), [kubernetes](), [mesh](), [microservices](), [security](), [services](), [webhook]() ### AI overview This article describes Istio 1.4's more secure webhook management. It explains how istioctl takes over webhook configuration from Galley and the sidecar injector, reduces their privileges, and verifies webhook server readiness and certificate chains before configuration. ### Source excerpt Istio has two webhooks: Galley and the sidecar injector. Galley validates Kubernetes resources and the sidecar injector injects sidecar containers into Istio. By default, Galley and the sidecar injector manage their own webhook configurations. This can pose a security risk if they are compromised, for example, through buffer overflow attacks. Configuring a webhook is a highly privileged operation as a webhook may monitor and mutate all Kubernetes resources. In the following example, the attacker compromises Galley and modifies the webhook configuration of Galley to eavesdrop on all Kubernetes secrets (the clientConfig is modified by the attacker to direct the secrets resources to a service owned by the attacker). An example attack To protect against this kind of attack, Istio 1.4 introduces a new feature to securely manage webhooks using istioctl: istioctl, instead of Galley and the sidecar injector, manage the webhook configurations. Galley and the sidecar injector are de-privileged so even if they are compromised, they will not be able to alter the webhook configurations. Before configuring a webhook, istioctl will verify the webhook server is up and that the certificate chain used by the webhook server is valid. This reduces the errors that can occur before a server is ready or if a server has invalid certificates. To try this new feature, refer to the Istio webhook management task.