Nele Uhlemann
Handling incidents collaboratively is like solving a rubix cube
#1about 4 minutes
The Rubik's Cube metaphor for engineering teams
Different engineering teams like backend and SREs operate on different sides of the system, requiring collaboration during incidents.
#2about 3 minutes
The first phase of resolving incidents collaboratively
The initial step in incident response is to establish a common understanding and transparency across teams before applying quick fixes.
#3about 2 minutes
Preventing future incidents with best practices
After resolving an incident, teams must collaborate on prevention by documenting best practices for patterns like service retries.
#4about 2 minutes
Discovering incidents through system observability
The discovery phase relies on making systems observable by collecting telemetry data like logs, metrics, and traces.
#5about 2 minutes
Standardizing telemetry collection with OpenTelemetry
OpenTelemetry provides a vendor-neutral standard for instrumenting applications, preventing vendor lock-in for observability backends.
#6about 2 minutes
Simplifying metrics with the Autometrics library
The open-source Autometrics library uses decorators to automatically generate key metrics like latency, errors, and request rate from functions.
#7about 5 minutes
Demo of generating metrics and SLOs from code
A live demo shows how Autometrics provides live metrics in the IDE and helps define SLOs that can be visualized in Grafana.
#8about 1 minute
Summary of collaborative incident management phases
A recap of the three key phases for collaborative incident handling: resolving, preventing, and discovering issues together.
#9about 2 minutes
Q&A on tooling and open source contribution
The speaker answers audience questions about managing tool complexity and the role of community contributions in open-source projects.
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