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A Python framework to write Kubernetes operators in just a few lines of code
The main features of nolar/kopf are: Kubernetes Operators.
Projects with overlapping indexed features include: fairwindsops/rbac-manager — RBAC Manager is a Kubernetes operator that automates the management of role-based access control and service account… greptimeteam/greptimedb — GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries… altinity/clickhouse-operator — The project is a Kubernetes operator that automates the deployment, configuration, and management of ClickHouse… apache/rocketmq — RocketMQ is a cloud-native distributed messaging platform and streaming engine. It functions as a distributed… eventstore/eventstore — KurrentDB is an event-native database designed for event sourcing and event-driven architectures. It stores… k0sproject/k0s — k0s is a Kubernetes distribution that packages all control plane and worker components into a single binary, enabling…
RBAC Manager is a Kubernetes operator that automates the management of role-based access control and service account permissions. It functions as a controller that synchronizes cluster authorization resources with user-defined configuration files, ensuring that security settings remain consistent with established requirements. The system operates by monitoring the cluster API for changes and reconciling the current state against declarative manifests. By treating authorization as infrastructure as code, it enables teams to manage permissions through version-controlled files rather than manual
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
The project is a Kubernetes operator that automates the deployment, configuration, and management of ClickHouse database clusters using native custom resources and declarative manifests. It functions as a distributed database controller and stateful workload manager, handling infrastructure provisioning and scaling routines across containerized environments. The operator provides comprehensive database lifecycle management capabilities, controlling operational states, safe software version upgrades, and dynamic cluster scaling while automatically propagating schema changes. It includes custom
RocketMQ is a cloud-native distributed messaging platform and streaming engine. It functions as a distributed transactional queue that ensures atomicity between local transactions and message delivery, and serves as an MQTT IoT message broker to bridge lightweight device traffic into high-performance data streams. The system is distinguished by a Kubernetes-native architecture that decouples compute from storage to allow independent scaling of traffic and data retention. It utilizes a tiered storage model to offload older data to remote storage and employs quorum-based replication and automat