OpenSearch

Overview

OpenSearch is a distributed search and analytics engine, used for log analysis, observability, and full-text search at scale. KubeDNA integrates OpenSearch as a key component for platform observability, enabling users to gain real-time insights into their applications and infrastructure.

✅ Current Implementation

In the current release of KubeDNA, OpenSearch is deployed using the OpenSearch Operator, which provides a flexible foundation for managing OpenSearch clusters within Kubernetes.

Path to install:
[Selected Cluster] > Components > OpenSearch

• The deployment includes only the OpenSearch Operator by default.

• No OpenSearch nodes or dashboards are provisioned immediately.

• Users can manually create and manage OpenSearch clusters using the operator’s CRDs.

• Best suited for teams familiar with custom OpenSearch configurations.

🔜 Upcoming Release – Fully Integrated OpenSearch Stack

In the next release, KubeDNA will support a fully managed, production-ready OpenSearch deployment, including:

🚀 Key Features:

• High Availability:

  • Multi-node OpenSearch clusters across zones/nodes

  • Redundant master, data, and ingest nodes

• Hot-Warm-Cold Architecture:

  • Intelligent index tiering for optimized performance and cost

  • Hot (frequent access), Warm (infrequent), Cold (archival) storage setup

• OpenSearch Dashboards:

  • Pre-installed and accessible via KubeDNA UI

  • Ready-to-use dashboards for logs, metrics, and infrastructure health

• Integrated Storage Classes:

  • Seamless alignment with provider-specific storage (e.g., SSD for hot, HDD for cold)

• Lifecycle Automation:

  • Index retention policies and rollover rules preconfigured

  • Auto-scaling and self-healing mechanisms included

🎯 Use Cases

• Log management & observability

• Monitoring Kubernetes workloads

• Custom application telemetry and search features

• Alerting and anomaly detection (future phase)