Catalog Details
CATEGORY
deploymentCREATED BY
UPDATED AT
November 23, 2024VERSION
0.0.1
What this pattern does:
Fluentd is utilized as a robust log forwarding and aggregation solution, essential for collecting, processing, and forwarding logs from various sources within Kubernetes pods to AWS-based storage or analytics services. This design focuses on integrating Fluentd seamlessly into Kubernetes to enhance observability and troubleshoot application issues effectively. Key considerations include setting up Fluentd DaemonSets to ensure it runs on every node, configuring filters and parsers to handle different log formats, and directing logs to Amazon S3, CloudWatch Logs, or Elasticsearch for storage and analysis. Proper resource allocation, such as CPU and memory requests and limits, is established to optimize Fluentd performance without impacting other applications. Security measures, including role-based access controls and encryption, are implemented to protect sensitive log data.
Caveats and Consideration:
Continuous monitoring and scaling strategies are employed to maintain Fluentd's availability and responsiveness as Kubernetes workloads evolve.
Compatibility:
Recent Discussions with "meshery" Tag
- Nov 22 | Meshery CI Maintainer: Sangram Rath
- Dec 04 | Link Meshery Integrations and Github workflow or local code
- Nov 20 | Meshery Development Meeting | Nov 20th 2024
- Nov 10 | Error in "make server" and "make ui-server"
- Nov 11 | Difference in dev Environments on port 9081 and 3000
- Nov 10 | npm run lint:fix error
- Oct 30 | Getting Meshery locally using Docker Desktop for Meshery UI contribution
- Nov 07 | Meshery + GCP Connector
- Oct 24 | Getting error when using utils.SetupContextEnv() when writing tests for relationship command
- Nov 16 | Where's the Cortex Integration of Meshmap?