f5-telemetry-analytics-v0.1

Change Notes:

1. Single-node container-based automated deployment and configuration.
2. Performance tuning to 3.5MB/s(~ 5000 ps * 700 Bytes/log) on VM configuration(CPU core: 16, MEM: 32GB).
3. Dashboards for BIG-IP LTM HTTP Request/Response, DNS Parsing.
4. Self-health check through health dashboard.
5. Time-Series Machine Learning with BYOL.
6. Data Rotation based on disk usage.
7. Add the Travis automation test.
8. Update dashboard names.
9. Update the workflow description in the document.
10. Remove the source package(.zip .tar.gz) from the release page.

f5-telemetry-analytics-v0.3

ChangeNotes:

1. Add some Travis automation test cases.
2. Add performance test benchmark and test results.
3. Add ASM logging data collection and visualization.
4. Refactor index pattern/dashboard/mocking-scripts.

f5-telemetry-analytics-v0.2

Changes:

1. Regulate dashboards to use the general index.
2. Logstash multiple logstash pipelines separately for kafka/json/regex/
3. Logging persistence for fluentd container.
4. Add mapping_fields_limits and date_detection setting in the index template.
5. Add customized network setting in docker-compose.yml to avoid network conflicts with the host.
6. Add default timestamp for pure JSON data.
7. Use @Label @kafka as fluentd's match
8. Delete out-of-date environment variables