Tag Archives: Etcd

Empowering etcd Reliability: New Downgrade Support in Version 3.6


In the world of distributed systems, reliability is paramount. etcd, a widely used key-value store often critical to infrastructure, has made strides in enhancing this aspect. While etcd's reliability has been robust thanks to the Raft consensus protocol, the same couldn't be said for upgrades/downgrades – until now.


The Challenge of etcd Downgrades

Historically, downgrading etcd has been a complex and unsupported process. There is no way to safely downgrade etcd data after it was touched by a newer version. Upgrades, while reliable, weren't easily reversible, often requiring external tools and backups. This lack of flexibility posed a significant challenge for users who encountered issues after upgrading.


Enter etcd 3.6: A New Era of Downgrade Support

etcd 3.6 introduces a groundbreaking solution: built-in downgrade support. This innovation not only simplifies the upgrade and downgrade processes but also significantly enhances etcd's reliability.

How Does It Work?

  • Storage Versioning: A new storage version (SV) is persisted within the etcd data file. This version indicates compatibility, ensuring safe upgrades and downgrades.
  • Schema Evolution: A comprehensive schema tracks all fields in the data file and acts as a source of truth about which version a particular was introduced in, allowing etcd to understand and manipulate data across versions.
  • etcdutl migrate: A dedicated command-line tool, etcdutl migrate, streamlines skip-level upgrade and downgrade process, eliminating the need for complex manual steps.

Benefits for Users

The introduction of downgrade support in etcd 3.6 offers a range of benefits for users:

  • Improved Reliability: Upgrades can be safely reverted, reducing the risk of data loss or operational disruption.
  • Simplified Management: The upgrade and downgrade processes are streamlined, reducing the complexity of managing etcd clusters.
  • Increased Flexibility: Users have greater flexibility in managing their etcd environments, allowing them to experiment with new versions and roll back if necessary.

Under the Hood: Technical Details

To achieve downgrade support, etcd 3.6 implements a strict storage versioning policy. This means that etcd data is versioned, etcd will no longer be allowed to load data generated by version higher than its own, and must rely on cluster downgrade process instead. This ensures that all the DB and WAL files would not have any information that could be incorrectly interpreted.

During the downgrade process, new fields from the higher version in DB files will be cleaned up. The etcd protocol version will be lowered to allow older versions to join. All new features, rpcs and fields would not be used thus preventing older members from interpreting replicated logs differently. This also means that entries added to the Wal log file should be compatible with lower versions. When a wal snapshot happens, all older incompatible entries should be applied, so they no longer need to be read and the storage version can be downgraded.

The etcdutl migrate command tool is added to simplify etcd data upgrade and downgrade process on 2+ minor version upgrades/downgrades scenarios, by validating the WAL log compatibility with the target version, and executing any necessary schema changes to the DB file and updating the storage version.

Implementation Milestones

The rollout of downgrade support is planned in three milestones:

  • Snapshot Storage Versions: Storage versioning is implemented for snapshots.
  • Version Annotations: etcd code is annotated with versions, and a schema is created for the data file.
  • Full Downgrade Support: Downgrades can be fully implemented using the established storage versioning and schema.

We are currently working on finishing the third milestone.


Looking Ahead

etcd 3.6 marks a significant step forward in the reliability and manageability of etcd clusters. The introduction of downgrade support empowers users with greater flexibility and control over their etcd environments. As etcd continues to evolve, we can expect further enhancements to the upgrade and downgrade processes, further solidifying its position as a critical component in modern distributed systems.

Empowering etcd Reliability: New Downgrade Support in Version 3.6


In the world of distributed systems, reliability is paramount. etcd, a widely used key-value store often critical to infrastructure, has made strides in enhancing this aspect. While etcd's reliability has been robust thanks to the Raft consensus protocol, the same couldn't be said for upgrades/downgrades – until now.


The Challenge of etcd Downgrades

Historically, downgrading etcd has been a complex and unsupported process. There is no way to safely downgrade etcd data after it was touched by a newer version. Upgrades, while reliable, weren't easily reversible, often requiring external tools and backups. This lack of flexibility posed a significant challenge for users who encountered issues after upgrading.


Enter etcd 3.6: A New Era of Downgrade Support

etcd 3.6 introduces a groundbreaking solution: built-in downgrade support. This innovation not only simplifies the upgrade and downgrade processes but also significantly enhances etcd's reliability.

How Does It Work?

  • Storage Versioning: A new storage version (SV) is persisted within the etcd data file. This version indicates compatibility, ensuring safe upgrades and downgrades.
  • Schema Evolution: A comprehensive schema tracks all fields in the data file and acts as a source of truth about which version a particular was introduced in, allowing etcd to understand and manipulate data across versions.
  • etcdutl migrate: A dedicated command-line tool, etcdutl migrate, streamlines skip-level upgrade and downgrade process, eliminating the need for complex manual steps.

Benefits for Users

The introduction of downgrade support in etcd 3.6 offers a range of benefits for users:

  • Improved Reliability: Upgrades can be safely reverted, reducing the risk of data loss or operational disruption.
  • Simplified Management: The upgrade and downgrade processes are streamlined, reducing the complexity of managing etcd clusters.
  • Increased Flexibility: Users have greater flexibility in managing their etcd environments, allowing them to experiment with new versions and roll back if necessary.

Under the Hood: Technical Details

To achieve downgrade support, etcd 3.6 implements a strict storage versioning policy. This means that etcd data is versioned, etcd will no longer be allowed to load data generated by version higher than its own, and must rely on cluster downgrade process instead. This ensures that all the DB and WAL files would not have any information that could be incorrectly interpreted.

During the downgrade process, new fields from the higher version in DB files will be cleaned up. The etcd protocol version will be lowered to allow older versions to join. All new features, rpcs and fields would not be used thus preventing older members from interpreting replicated logs differently. This also means that entries added to the Wal log file should be compatible with lower versions. When a wal snapshot happens, all older incompatible entries should be applied, so they no longer need to be read and the storage version can be downgraded.

The etcdutl migrate command tool is added to simplify etcd data upgrade and downgrade process on 2+ minor version upgrades/downgrades scenarios, by validating the WAL log compatibility with the target version, and executing any necessary schema changes to the DB file and updating the storage version.

Implementation Milestones

The rollout of downgrade support is planned in three milestones:

  • Snapshot Storage Versions: Storage versioning is implemented for snapshots.
  • Version Annotations: etcd code is annotated with versions, and a schema is created for the data file.
  • Full Downgrade Support: Downgrades can be fully implemented using the established storage versioning and schema.

We are currently working on finishing the third milestone.


Looking Ahead

etcd 3.6 marks a significant step forward in the reliability and manageability of etcd clusters. The introduction of downgrade support empowers users with greater flexibility and control over their etcd environments. As etcd continues to evolve, we can expect further enhancements to the upgrade and downgrade processes, further solidifying its position as a critical component in modern distributed systems.

Driving etcd Stability and Kubernetes Success


Introduction: The Critical Role of etcd in Cloud-Native Infrastructure

Imagine a cloud-native world without Kubernetes. It's hard, right? But have you ever considered the unsung hero that makes Kubernetes tick? Enter etcd, the distributed key-value store that serves as the central nervous system for Kubernetes. Etcd's ability to consistently store and replicate critical cluster state data is essential for maintaining the health and harmony of distributed systems.


etcd: The Backbone of Kubernetes

Think of Kubernetes as a magnificent vertebrate animal, capable of complex movements and adaptations. In this analogy, etcd is the animal's backbone – a strong, flexible structure that supports the entire system. Just as a backbone protects the spinal cord (which carries vital information), etcd safeguards the critical data that defines the Kubernetes environment. And just as a backbone connects to every other part of the body, etcd facilitates communication and coordination between all the components of Kubernetes, allowing it to move, adapt, and thrive in the dynamic world of distributed systems.

ALT TEXT
Credit: Original image xkcd.com/2347, alterations by Josh Berkus.

Google's Deep-Rooted Commitment to Open Source

Google has a long history of contributing to open source projects, and our commitment to etcd is no exception. As the initiator of Kubernetes, Google understands the critical role that etcd plays in its success. Google engineers consistently invest in etcd to enhance its functionality and reliability, driven by their extensive use of etcd for their own internal systems.


Google's Collaborative Impact on etcd Reliability

Google engineers have actively contributed to the stability and resilience of etcd, working alongside the wider community to address challenges and improve the project. Here are some key areas where their impact has been felt:

Post-Release Support: Following the release of etcd v3.5.0, Google engineers quickly identified and addressed several critical issues, demonstrating their commitment to maintaining a stable and production-ready etcd for Kubernetes and other systems.

Data Consistency: Early Detection and Swift Action: Google engineers led efforts to identify and resolve data inconsistency issues in etcd, advocating for public awareness and mitigation strategies. Drawing from their Site Reliability Engineering (SRE) expertise, they fostered a culture of "blameless postmortems" within the etcd community—a practice where the focus is on learning from incidents rather than assigning blame. Their detailed postmortem of the v3.5 data inconsistency issue and a co-presented KubeCon talk served to share these valuable lessons with the broader cloud-native community.

Refocusing on Stability and Testing: The v3.5 incident highlighted the need for more comprehensive testing and documentation. Google engineers took action on multiple fronts:

  • Improving Documentation: They contributed to creating "The Implicit Kubernetes-ETCD Contract," which formalizes the interactions between the two systems, guiding development and troubleshooting.
  • Prioritizing Stability and Testing: They developed the "etcd Robustness Tests," a rigorous framework simulating extreme scenarios to proactively identify inconsistency and correctness issues.

These contributions have fostered a collaborative environment where the entire community can learn from incidents and work together to improve etcd's stability and resilience. The etcd Robustness Tests have been particularly impactful, not only reproducing all the data inconsistencies found in v3.5 but also uncovering other bugs introduced in that version. Furthermore, they've found previously unnoticed bugs that existed in earlier etcd versions, some dating back to the original v3 implementation. These results demonstrate the effectiveness of the robustness tests and highlight how they've made etcd the most reliable it has ever been in the history of the project.


etcd Robustness Tests: Making etcd the Most Reliable It's Ever Been

The "etcd Robustness Tests," inspired by the Jepsen methodology, subject etcd to rigorous simulations of network partitions, node failures, and other real-world disruptions. This ensures etcd's data consistency and correctness even under extreme conditions. These tests have proven remarkably effective, identifying and addressing a variety of issues:

For deeper insights into ensuring etcd's data consistency, Marek Siarkowicz's talk, "On the Hunt for Etcd Data Inconsistencies," offers valuable information about distributed systems testing and the innovative approaches used to build these tests. To foster transparency and collaboration, the etcd community holds bi-weekly meetings to discuss test results, open to engineers, researchers, and other interested parties.


The Kubernetes-etcd Contract: A Partnership Forged in Rigorous Testing

To solidify the Kubernetes-etcd partnership, Google engineers formally defined the implicit contract between the two systems. This shared understanding guided development and troubleshooting, leading to improved testing strategies and ensuring etcd meets Kubernetes' demanding requirements.

When subtle issues were discovered in how Kubernetes utilized etcd watch, the value of this formal contract became clear. These issues could lead to missed events under specific conditions, potentially impacting Kubernetes' operation. In response, Google engineers are actively working to integrate the contract directly into the etcd Robustness Tests to proactively identify and prevent such compatibility issues.


Conclusion: Google's Continued Commitment to etcd and the Cloud-Native Community

Google's ongoing investment in etcd underscores their commitment to the stability and success of the cloud-native ecosystem. Their contributions, along with the wider community's efforts, have made etcd a more reliable and performant foundation for Kubernetes and other critical systems. As the ecosystem evolves, etcd remains a critical linchpin, empowering organizations to build and deploy distributed applications with confidence. We encourage all etcd and Kubernetes contributors to continue their active participation and contribute to the project's ongoing success.

By Marek Siarkowicz – GKE etcd