DevOps Conference
The Conference for Continuous Delivery, Microservices,
Containers, Clouds and Lean Business

Stop playing detective: Use observability to tell a better story

Session
Until Conference Starts:
✓ Group Discount
✓ Individual offers for
Freelancers and employees of scientific institutions

Register now
Bis Konferenzbeginn
✓ Kollegenrabatt

✓ Sonderkonditionen für Freelancer und
Mitarbeiter von wissenschaftlichen Einrichtungen

✓ Bis zu 375 € sparen
Jetzt anmelden
Until December 12:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $690
Register now
Until December 12:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $690
Register now
Until November 28:
✓ Transformation Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over £689
Register Now

Until November 28:
✓ Transformation Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over £689
Register Now

Until March 5:
✓ Transformation Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over 850 €
Register now
Bis 5. März:
✓ Transformation Day for free
✓ Raspberry Pi oder C64 Mini for free
✓ Über 850 € sparen
Jetzt anmelden
Until June 18:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now
Until June 18:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now

Investigating production issues in a microservice architecture can make you feel like Sherlock Holmes, searching through evidence and gathering sources to recreate the scene of a crime. Often, this investigation involves digging into multiple log stores and dashboards to piece together an understanding of an issue. This is costly, for engineering teams and customers — time spent sifting through clues only further delays the resolution.Distributed tracing can help. With distributed tracing, we see a request’s path through a complex system. But is that enough? At Netflix, we have taken distributed tracing, added in log correlation (with high-quality, detailed logs), and layered analysis on top. Not only does this reduce time for engineers to understand the root cause of an issue, we’ve provided this tool to customer operations, empowering them to understand the root cause and escalate with clarity.You’ll leave this talk with an understanding of distributed tracing and how to supplement traces with logs. You’ll see examples of how to shape your logs to clarify the business logic underneath a microservice’s response, and you’ll understand how tracing is the lynchpin to the type of detailed insights that will cut down on the cost of your teams operational burden.

Stay tuned:

Behind the Tracks

 

Kubernetes Ecosystem

Docker, Kubernetes & Co

Microservices & Software Architecture

Maximize development productivity

Continuous Delivery & Automation

Build, test and deploy agile

Cloud Platforms & Serverless

Cloud-based & native apps

Monitoring, Traceability & Diagnostics

Handle the complexity of microservices applications

Security

DevSecOps for safer applications

Business & Company Culture

Radically optimize IT

Organizational Change

Overcome obstacles on the way towards DevOps

Live Demo #slideless

Showing how technology really works