Explore the challenges of modern distributed systems engineering and the importance of observability in a 58-minute conference talk by Charity Majors, CTO at Honeycomb.io. Delve into the complexities of modern development paradigms and their impact on operational futures. Examine the limitations of traditional debugging tools in the face of increasingly complex systems. Discover potential disasters awaiting distributed systems engineers and learn how instrumentation and observability can help mitigate these risks. Gain insights into adapting tooling and organizational culture to keep pace with evolving technologies. Follow case studies of failure, including issues with ingest API services, Kafka data buses, and query services. Understand the importance of acknowledging hidden risks, making experimentation routine, and maintaining control over production environments. Benefit from Majors' extensive experience in systems engineering and database management at companies like Facebook, Parse, and Linden Lab.
Observability and the Future of Complex Systems
Overview
Syllabus
Intro
And the problem space is complex.
Write workload, trailing year
Read workload, trailing year
Service Level Objectives (SLO)
Data storage engine and analytics flow
SLOs are user flows
Service-Level Objectives
Functional and visual testing.
Design for feature flag deployment.
Automated integration & human review.
Green button merge.
Auto-updates, rollbacks, & pins.
Observe behavior in prod.
Non-trivial savings.
Three case studies of failure
1 Shepherd: ingest API service
Honeycomb Ingest Outage
Now what?
Kafka: data bus
Our month of Kafka pain
Unexpected constraints
Take care of your people
Optimize for safety
Retriever: query service
Making progress carefully
Takeaways
Acknowledge hidden risks
Make experimentation routine!
Understand & control production.
Taught by
ChariotSolutions
