CNCF Paris Meetup on 2022/05/05 - https://www.meetup.com/fr-FR/Cloud-Native-Computing-Paris/events/284743866/

1. IT ENGINEERING & PLATFORM
ADOPTING
OPENTELEMETRY
05/04/2022

2. 2
Senior Engineer
Vincent Behar
https://twitter.com/vbehar
Twitter
French video game company
Ubisoft
https://github.com/vbehar
GitHub
ABOUT ME

3. 3
What are we trying to solve?
OUR PROBLEM
Silos
• Logs, Metrics, Traces
• Multiple stacks
• Investigation time
• Knowledge required
• High cognitive load
• …

4. 4
Where we want to go
OUR GOAL
Unified Platform
• Single visualization UI
• Correlation
• Evolutive

5. 5
DEMO

6. 6
High-quality, ubiquitous, and portable telemetry to enable effective observability
OPENTELEMETRY
Open source
• 2019
• OpenTracing
• OpenCensus
• CNCF - #2 project
Contributors
• Amazon, Google, Microsoft,
RedHat, …
• Lightstep, Splunk,
Dynatrace, Grafana,
Honeycomb, New Relic,
Datadog, Elastic, …

7. 7
Specifications
• Traces: stable
• Metrics: stable
• Logs: stable
• Semantic Conventions
• Propagation
• Protocol (OTLP)
• …
Implementations
• APIs
• SDKs
• Libraries
instrumentation
• 11 languages
Collector
• Interoperability
• Written in Go
• OpenCensus Service
• OTel’s killer feature
What’s in it?
OPENTELEMETRY

8. 8
Components
• 50+ receivers
• 40+ exporters
• 20+ processors
• 10+ extensions
• Custom components
• Distributions
Vendor-agnostic way to receive, process and export telemetry data
OPENTELEMETRY COLLECTOR

9. 9
Semantic conventions
• Spans attributes
• Application’s logs
(structured logging)
• Metrics labels
• Collector pipelines
API/SDK for tracing
• Stable API/SDK
available in multiple
languages
• Auto-instrumentation
• Adoption by libraries
• OTLP
Collector
• Single agent
• Interoperability
• Routing
• Custom processors
• Custom distribution
• Not just an agent, but
an extensible platform
And what are we using?
OPENTELEMETRY @ UBISOFT

10. 10
Input / Output
OPENTELEMETRY COLLECTOR @ UBISOFT

11. 11
Agent Collector
• Kubernetes DaemonSet
• Per-node collection of
logs
• Per-node scraping of
Prometheus metrics on
the pods
• Per-node scraping of the
Kubelet metrics / stats
• Per-node collect of the
host metrics
• Spans ingestion through a
Service
DEPLOYMENT

12. 12
Standalone Collector
• Kubernetes Deployment
• Collection of cluster-wide
Prometheus metrics
• Scraping of Prometheus
metrics on the services
• Prometheus blackbox
exporter integration
DEPLOYMENT

13. 13
Logs Pipeline
PIPELINES

14. 14
Metrics Pipeline
PIPELINES

15. 15
Traces Pipeline
PIPELINES

16. 16
CUSTOM (LOGS) PROCESSORS

17. 17
MONITORING

18. 18
Reducing cognitive load
• Single stack
• Semantic convention
• Simpler to use and
operate
Towards observability
• (almost) no more silos
• Auto generation of
metrics and/or logs
from traces
• Easier troubleshooting
and understanding of
the platform
Owning the pipeline
• No lock-in
• Extensible platform
• Open source
• Active development
Of adoting OpenTelemetry
BENEFITS

19. 19
Various level of maturity depending on the components
• Prometheus metrics labels naming convention vs Otel semantic convention
• Prometheus Exemplars are not fully supported
SHORTCOMINGS

20. 20
Our next steps
WHAT’S NEXT
Tracing first
• Simplify instrumentation
• Generate metrics and logs
from traces at the collector
level
Continuous Profiling
• Parca – inspired by
Prometheus
• Would be great to collect
profiles from the
OpenTelemetry Collector
• Backends: Parca,
Pyroscope, …

21. 21
CONCLUSION
UNIFIED PLATFORM
BREAK
THE SILOS
EMBRACE THE
COLLECTOR
ENJOY

22. IT ENGINEERING &
PLATFORM
THANK
YOU!

23. Q&A