Automate log collection, processing, and routing with Fluentd and Fluent Bit.
npx skills add https://github.com/cavanli/aiops --skill fluentdops
Please help me install this Agent Skill. Skill: FluentdOps Source: https://github.com/cavanli/aiops/tree/main/skills/fluentd-ops Command: npx skills add https://github.com/cavanli/aiops --skill fluentdops
Fluentd/Fluent Bit orchestration and logging pipelines require careful configuration to collect, parse, route, and reliably deliver logs across backends. This skill provides a consolidated approach to manage inputs, filters, outputs, buffering, and performance tuning across diverse environments.
Install Fluentd/Fluent Bit, configure a basic pipeline, and start streaming logs to your backends.
High-intent search queries and answers about installing and using this skill.
To configure Fluent Bit for log forwarding, you define multiple output plugins targeting Elasticsearch and S3. This skill automates configuring these multi-backend outputs alongside inputs and filters for reliable log delivery across Linux, macOS, and Windows.
Fluentd and Fluent Bit both handle centralized logging and log pipeline routing, while Fluent Bit is lighter for edge collection and Fluentd offers richer processing. This skill manages orchestration and configuration for both.
Yes, you can use Fluentd and Fluent Bit for log processing on Linux, macOS, and Windows environments. This skill applies configurable inputs, filters, and outputs across these operating systems for centralized logging.
Setting up buffering and retries in Fluentd involves configuring buffer sections and retry parameters within your output definitions. This skill implements these mechanisms to ensure reliable log delivery and scalable filtering.
Fluent Bit log pipelines drop logs during high throughput usually due to insufficient buffering or misconfigured performance tuning. This skill helps optimize buffering, retries, and performance tuning to prevent data loss.
You do not strictly need Kafka to scale log forwarding, as Fluentd supports direct multi-backend outputs like S3 and Elasticsearch. However, routing logs to Kafka is supported as a scalable backend within the log pipeline.
ScavieFaeDetect the host platform, install dependencies, and configure Dolphin, Slippi, and Phillip.
incidentfoxAnalyze Elasticsearch/OpenSearch logs to identify incident root causes.
timequitySet up Prometheus, Grafana, Loki, and Jaeger for Kubernetes observability.
inkeepDefine structured API route logging levels and contextual data for REST and GraphQL.
