4 dépôts
Automated deployment and orchestration of database clusters within Kubernetes environments.
Distinct from Kubernetes Cluster Deployments: Distinct from general Kubernetes cluster deployments: focuses specifically on database-centric orchestration using Helm charts.
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RavenDB is a multi-model NoSQL document database designed for high-performance, ACID-compliant data storage. It persists structured information as schema-flexible JSON documents and utilizes a unit-of-work session pattern to track entity changes and batch modifications into atomic transactions. The platform is built on a distributed architecture that supports horizontal scaling through sharding and ensures high availability via multi-node, master-to-master cluster replication. The database distinguishes itself through a self-optimizing query engine that automatically creates and maintains ind
Automates the deployment and scaling of database clusters within Kubernetes using Helm charts.
This project is a comprehensive educational curriculum designed to teach the fundamentals of container orchestration and infrastructure automation. It provides a structured learning path for mastering the lifecycle management of containerized applications, covering the core concepts of declarative resource definitions, control-loop-based reconciliation, and distributed cluster state management. The course distinguishes itself by focusing on practical, hands-on implementation of modern DevOps practices. It guides users through the integration of GitOps workflows for state synchronization, the
Automates the deployment and lifecycle management of database clusters within containerized environments.
The etcd-operator is a custom resource controller designed to automate the deployment, scaling, backup, and recovery of distributed key-value storage clusters on container orchestration platforms. By extending container orchestration APIs with custom resource definitions, the system manages multi-node database instances through declarative configuration files and a continuous controller reconciliation loop that drives cluster provisioning, scaling, and maintenance. The operator provides automated cluster member recovery, detecting unresponsive nodes and executing membership replacements to pr
Deploys multi-node database clusters with configurable replicas and version parameters.
Kubernetes-elasticsearch-cluster is an orchestration tool designed to deploy and manage distributed Elasticsearch search and analytics clusters within container environments. It provisions multi-node architectures with separated master, data, and ingest roles, utilizing stateful workload orchestration to maintain stable network identities across restarts. The system implements automated persistent storage provisioning through dynamic volume requests, alongside anti-affinity rules that distribute redundant data pods across distinct physical hosts for fault isolation. Operational availability
Runs database worker nodes as ordered stateful workloads that maintain stable network identities across restarts.