Cloud Foundry Training

By the end of the training, participants will be able to:

• Understand how logs from complex distributed systems are managed.
• Install, configure, monitor, and troubleshoot Elasticsearch clusters.
• Parse log data with Logstash.
• Model and detect anomalies in time series data.
• Set up a centralized logging system from scratch

• Comfort using the terminal or command line is recommended.
• No prior experience of working with the Elastic Stack is required.

• What is inside an Elasticsearch cluster: nodes, shards, indices
• Parsing logs with Logstash. Grok filters and their use.
• The Logsearch project for Cloud Foundry: overview, getting started.
• Working with logs: types of logs, viewing application logs, creating a log filter, parsing.
• X-Packu Machine Learning core concepts: jobs, datafeeds, detectors, buckets, machine learning nodes, and analytical functions.

The attendees will learn hands-on how to collect, parse, transform, store, and visualize logs and spot anomalous patterns in time series data.