Micromegas - Scalable Observability

rust API documentation

python API

grafana plugin

design presentation

unreal observability

Objectives

• Unified observability: logs, metrics and traces in the same database.

• Spend less time reproducing problems

  • Collect enough data to understand how to correct the problems.

  • Quantify the frequency and severity of the issues instead of debugging the first one you can reproduce.

• Achieve better quality: monitor & catch problems before they get noticed by users.

Design Strategies

Low overhead instrumentation

20 ns / event in the calling thread, one additional thread for the preparation and upload to the server.

High frequency of events

Up to 100000 events / second for a single instrumented process.

Scalability of ingestion service

Scalable backend can accept data from millions of concurrent instrumented processes.

• Data stored in S3
• Metadata stored in https://www.postgresql.org/

Tail sampling & ETL on demand

In order to keep costs down, most payloads will remain unprocessed until they expire.

Query using SQL

• Analytics built on https://arrow.apache.org/datafusion/

Status

February 2025

• Released version 0.4.0
• Incremental data reduction using sql-defined views
• System monitor thread
• Added support for ARM (& macos)
• Deleted analytics-srv and the custom http python client to connect to it

January 2025

• Released version 0.3.0
• New FlightSQL python API
  • Ready to replace analytics-srv with flight-sql-srv

Decembre 2024

• Grafana plugin
• Released version 0.2.3
• Properties on measures & log entries available in SQL queries

Novembre 2024

Released version 0.2.1

• FlightSQL support
• Measures and log entries can now be tagged with properties
  • Not yet available in SQL queries

October 2024

Released version 0.2.0

• Unified the query interface
  • Using view_instance table function to materialize just-in-time process-specific views from within SQL
• Updated python doc to reflect the new API: https://pypi.org/project/micromegas/

Septembre 2024

Released version 0.1.9

• Updating global views every second
• Caching metadata (processes, streams & blocks) in the lakehouse & allow sql queries on them

August 2024

Released version 0.1.7

• New global materialized views for logs & metrics of all processes
• New daemon service to keep the views updated as data is ingested
• New analytics API based on SQL powered by Apache Datafusion

July 2024

Released version 0.1.5

Unreal

• Better reliability, retrying failed http requests
• Spike detection

Maintenance

• Delete old blocks, streams & processes using cron task

June 2024

Released version 0.1.4

Good enough for dogfooding :)

Unreal

• Metrics publisher
• FName scopes

Analytics

• Metric queries
• Convert cpu traces in perfetto format

May 2024

Released version 0.1.3

Better unreal engine instrumentation

• new protocol
• http request callbacks no longer binded to the main thread
• custom authentication of requests

Analytics

• query process metadata
• query spans of a thread

April 2024

Telemetry ingestion from rust & unreal are working :)

Released version 0.1.1

Not actually useful yet, I need to bring back the analytics service to a working state.

January 2024

Starting anew. I'm extracting the tracing/telemetry/analytics code from https://github.com/legion-labs/legion to jumpstart the new project. If you are interested in collaborating, please reach out.

lib.rs:

Telemetry Grpc sink library

Provides logging, metrics, memory and performance profiling