Hello Graylog Community,
I’m relatively new to Graylog and currently working on setting up log parsing for a multi-service environment where logs come in various complex formats. I’ve managed to ingest the logs successfully, but I’m struggling to create efficient and maintainable pipeline rules to parse and enrich the data meaningfully.
Specifically, the challenges I’m facing are:
- Logs are from diverse sources (microservices, databases, proxies), each with distinct formats — some JSON, others custom text with embedded key-value pairs.
- I want to extract important fields like user IDs, error codes, and timestamps consistently, but the variability in log formats makes it tricky.
- Current pipeline rules I wrote are quite bulky, hard to maintain, and sometimes lead to performance issues with high ingestion rates.
- I’m also looking for ways to best leverage Graylog’s built-in functions or community plugins to improve the parsing and enrichment without overcomplicating the pipeline.
Also, if anyone has examples of projects that balanced complexity with smooth performance, I’d love to hear about your approach or see your resources! By the way, if you know of any good sap abap training in hyderabad that covers such practical project experience, please share.
- Recommended approaches for handling complex, mixed-format logs in Graylog pipelines
- Strategies or best practices to keep pipeline rules maintainable and performant
- Useful plugins or extensions that can help with advanced parsing or field extraction
- Any pitfalls I should watch out for with pipelines under heavy load
Thanks in advance for any tips or sample snippets you can share! Looking forward to improving my setup with your expert insights.