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vcluster
vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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devspace-plugin-loft
Loft Plugin for DevSpace - adds commands like `devspace create space` or `devspace create vcluster` to DevSpace
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
They enable you to establish the policies and regulations that govern cluster deployments and applications. Using predefined policies, policy engines can dynamically modify or create configurations. Policy engines such as Gatekeeper and Kyverno can be leveraged to meet legal and compliance requirements while maintaining operational flexibility and development speed.
As the name implies, virtual clusters mimic the concept of virtual machines. These clusters provide you with many of the resources present in a standard Kubernetes cluster. It can contain an API server, controller manager, and storage (etcd). One notable solution for creating and running virtual clusters is vcluster by Loft Labs.
Each tenant of a multi-tenant cluster accesses and shares one etcd storage. When accessing a Kubernetes control plane, it is advisable to encrypt and store sensitive secrets data at rest. This adds an extra layer of security to your cluster, protecting sensitive information from breaches and facilitating compliance. There are many solutions for storing sensitive data, such as HashiCorp Vault and AWS Secrets Manager.
The report from the survey also highlights the difficulty in monitoring and instilling practices to curb escalating Kubernetes costs. One of the best ways to reduce costs is to distribute them according to the number of resources a workload consumes. For multi-tenant Kubernetes clusters, it is important to implement a chargeback model to help allocate and distribute cloud and infrastructure costs and resources among tenants, developer teams, and organizations. This helps promote shared responsibility and accountability among tenants in a cluster, making it easy to enforce chargebacks and bill tenants for resources consumed. Prometheus, Kubecost, and Grafana are popular solutions to monitor Kubernetes costs.
As the name implies, virtual clusters mimic the concept of virtual machines. These clusters provide you with many of the resources present in a standard Kubernetes cluster. It can contain an API server, controller manager, and storage (etcd). One notable solution for creating and running virtual clusters is vcluster by Loft Labs.
The policy levels can be assigned by labels to namespace resources, allowing for fine-grained policy control per namespace. Using the API serverâs AdmissionConfiguration resource, you can configure and define cluster-wide admission policies and exemptions. While Pod Security doesnât offer all the features available on the deprecated PSP, you can leverage other solutions such as Kyverno, OPA GateKeeper, and Kubewarden for more granular policy control.
Kubernetesâs popularity continues to grow as increasing numbers of companies adopt it to manage their containerized workloads. According to the 2021 annual CNCF report, ninety-six percent of enterprises surveyed use Kubernetes to some extentâthe highest since the survey began in 2016.
The report from the survey also highlights the difficulty in monitoring and instilling practices to curb escalating Kubernetes costs. One of the best ways to reduce costs is to distribute them according to the number of resources a workload consumes. For multi-tenant Kubernetes clusters, it is important to implement a chargeback model to help allocate and distribute cloud and infrastructure costs and resources among tenants, developer teams, and organizations. This helps promote shared responsibility and accountability among tenants in a cluster, making it easy to enforce chargebacks and bill tenants for resources consumed. Prometheus, Kubecost, and Grafana are popular solutions to monitor Kubernetes costs.