Catalog Details

• CATEGORY

  observability

• CREATED BY

  shridhar kute

• UPDATED AT

  November 23, 2024

• VERSION

  0.0.15

Pattern Snapshot

Related Patterns

observability

Pod Readiness

MESHERY4b83

What this pattern does:

This YAML file deploys an Elasticsearch cluster (version 8.9.0) in Kubernetes, configured with roles including master, data, ingest, ML, and remote cluster client. It sets up a pod disruption budget to maintain high availability and specifies resource requests and limits for CPU, memory, and storage. Persistent storage is configured with a 2Gi volume using the standard-rwo storage class.

Caveats and Consideration:

Version Compatibility: Ensure Elasticsearch 8.9.0 matches your Kubernetes version and other components. Resource Management: Adjust CPU, memory, and storage settings based on your specific needs. Storage Class: Confirm that the standard-rwo storage class is appropriate for your environment. Pod Disruption: Verify the pod disruption budget settings align with your high-availability requirements. Node Selector: Modify the node selector if not using Google Cloud Platform. Testing: Test the configuration in a staging environment before production deployment.

Compatibility:

Recent Discussions with "meshery" Tag

• Nov 22 | Meshery CI Maintainer: Sangram Rath Vivek Vishal
• Dec 04 | Link Meshery Integrations and Github workflow or local code Shlok Mishra
• Nov 20 | Meshery Development Meeting | Nov 20th 2024 Vivek Vishal
• Nov 10 | Error in "make server" and "make ui-server" Aadarsh Shekhar
• Nov 11 | Difference in dev Environments on port 9081 and 3000 Divyansh Khatri
• Nov 10 | npm run lint:fix error Sankarshan Mishra
• Oct 30 | Getting Meshery locally using Docker Desktop for Meshery UI contribution Davidudale
• Nov 07 | Meshery + GCP Connector Santosh Kumar Doodala
• Oct 24 | Getting error when using utils.SetupContextEnv() when writing tests for relationship command Sujai Gupta
• Nov 16 | Where's the Cortex Integration of Meshmap? Aditya Gupta