109 lines
4.7 KiB
Markdown
109 lines
4.7 KiB
Markdown
KubeZero - Zero Down Time Kubernetes platform
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========================
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KubeZero is a Kubernetes distribution providing an integrated container platform so you can focus on your applications.
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# Design philosophy
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- Cloud provider agnostic, bare-metal/self-hosted
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- Focus on security and simplicity before feature bloat
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- No vendor lock in, most components are optional and could be exchanged
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- Organic Open Source / open and permissive licenses over closed-source solutions
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- No premium services / subscriptions required
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- Staying and contributing back to upstream projects as much as possible
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- Corgi approved :dog:
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# Architecture
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# Version / Support Matrix
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KubeZero releases track the same *minor* version of Kubernetes.
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Any 1.21.X-Y release of Kubezero supports any Kubernetes cluster 1.21.X.
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KubeZero is distributed as a collection of versioned Helm charts, allowing custom upgrade schedules and module versions as needed.
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```mermaid
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%%{init: {'theme':'dark'}}%%
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gantt
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title KubeZero Support Timeline
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dateFormat YYYY-MM-DD
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section 1.22
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beta :122b, 2022-05-01, 2022-06-01
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release :after 122b, 2022-10-28
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section 1.23
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beta :123b, 2022-08-01, 2022-10-01
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release :after 123b, 2023-02-28
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section 1.24
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beta :124b, 2022-12-01, 2022-12-31
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release :after 124b, 2023-05-01
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```
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[Upstream release policy](https://kubernetes.io/releases/)
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# Components
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## OS
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- all nodes are based on Alpine V3.15
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- 2 GB encrypted root filesystem
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- no 3rd party dependencies at boot ( other than container registries )
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- minimal attack surface
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- extremely small memory footprint / overhead
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## Container runtime
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- cri-o rather than Docker for improved security and performance
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## Control plane
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- all Kubernetes components compiled against Alpine OS using `buildmode=pie`
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- support for single node control plane for small clusters / test environments to reduce costs
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- access to control plane from within the VPC only by default ( VPN access required for Admin tasks )
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- controller nodes are used for various platform admin controllers / operators to reduce costs and noise on worker nodes
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## GitOps
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- cli / cmd line install
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- optional full ArgoCD support and integration
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- fuse device plugin support to build containers as part of a CI pipeline leveraging rootless podman build agents
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## AWS integrations
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- IAM roles for service accounts allowing each pod to assume individual IAM roles
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- access to meta-data services is blocked all workload containers on all nodes
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- all IAM roles are maintained via CloudBender automation
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- aws-node-termination handler integrated
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- support for spot instances per worker group incl. early draining etc.
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- support for [Inf1 instances](https://aws.amazon.com/ec2/instance-types/inf1/) part of [AWS Neuron](https://aws.amazon.com/machine-learning/neuron/).
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## Network
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- Multus support for multiple network interfaces per pod, eg. additional AWS CNI
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- Calico using VxLAN incl. increased MTU
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allows flexible / more containers per worker node compared to eg. AWS VPC CNI
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- isolates container traffic from VPC by using VxLAN overlay
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- no restrictions on IP space / sizing from the underlying VPC architecture
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## Storage
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- flexible EBS support incl. zone awareness
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- EFS support via automated EFS provisioning for worker groups via CloudBender automation
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- local storage provider (OpenEBS LVM) for latency sensitive high performance workloads
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- CSI Snapshot controller and Gemini snapshot groups and retention
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## Ingress
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- AWS Network Loadbalancer and Istio Ingress controllers
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- no additional costs per exposed service
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- real client source IP available to workloads via HTTP header and access logs
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- ACME SSL Certificate handling via cert-manager incl. renewal etc.
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- support for TCP services
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- optional rate limiting support
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- optional full service mesh
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## Metrics
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- Prometheus support for all components
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- automated service discovery allowing instant access to common workload metrics
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- pre-configured Grafana dashboards and alerts
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- Alertmanager events via SNSAlertHub to Slack, Google, Matrix, etc.
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## Logging
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- all container logs are enhanced with Kubernetes and AWS metadata to provide context for each message
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- flexible ElasticSearch setup, leveraging the ECK operator, for easy maintenance & minimal admin knowledge required, incl. automated backups to S3
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- Kibana allowing easy search and dashboards for all logs, incl. pre configured index templates and index management
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- [fluentd-concerter](https://git.zero-downtime.net/ZeroDownTime/container-park/src/branch/master/fluentd-concenter) service providing queuing during highload as well as additional parsing options
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- lightweight fluent-bit agents on each node requiring minimal resources forwarding logs secure via TLS to fluentd-concenter
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