Charmed etcd is in Beta!

Hello :wave:

We are happy to announce the first beta release of Charmed etcd, now published in the 3.6/beta charmhub track for the VM flavour!

Please give it a try and give us feedback!

Charm Version Charm channel Sources (github) License
Charmed etcd 3.6.1 3.6/beta
(r74: amd64, r75: arm64)
charmed-etcd-operator Apache 2.0

Release notes can be found here.

Available Features:

Supported features

  • High Availability
    • Scaling a cluster up and down - safely
    • automated rolling operations (restarts, certificates rotation, restore etc)
    • Recovery from majority failure
    • Persistent Storage management and reuse
  • Backup and restore
    • Integration with any AWS S3-compatible or Azure object storage
  • Authentication and authorisation by default
    • Automated user and permission management for client applications
    • Juju user secrets for charm internal passwords
  • TLS encryption
    • Peer-to-peer
    • Client
    • Automated certificate and CA rotation
    • mTLS for client applications
  • External client relations (with mTLS)
  • Advanced statuses (multiple juju statuses reported via action)
  • Observability with Canonical Observability Stack (COS)
  • Tuning of configuration settings (part 1)
  • AMD64 and ARM64 support
  • Automated deployment on VM
    • Terraform charm module
    • Terraform product module
    • Terraform solution module for Azure

Documentation can be found here.

Inside the charms:

  • etcd: 3.6.1

Artifacts:

In addition to our charms, we also released to 3.6/beta other artifacts, namely:

Artifact Version Sources (github) License
Snap: Charmed etcd 3.6.1 charmed-etcd-snap Apache 2.0
Rock: Charmed etcd 3.6.1 charmed-etcd-rock Apache 2.0

Next work items:

  • Minor version upgrades
  • More config options for production tuning

How to reach the team:

Chat with us about your use case on Matrix. Reach the commercial team here.

Bug reports may be filed on GitHub. We also welcome contributions to our documentation and to our projects.

Recognition:

Great work and big thanks to the team: @reneradoi @skourta. For @avgomes for all her work in the documentation, as well as @smethnani for the rock, and to the rest of the extended team! This is a nice milestone we’re hitting :slight_smile:

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