Breaking Down the Pillars of Observability from Data to Outcomes
The world of cloud-native and distributed microservices has revolutionized software development and deployment.
However, the sheer volume of data these systems generate can often lead to confusion and uncertainty. You're not alone if you've ever felt lost in the sea of observability data.
In this session, we will question everything we thought we knew about the three mainstays of Observability - Logs, Metrics, and Traces. You will end this session equipped to choose the correct data for your unique needs, empowering you to confidently navigate the challenges and complexities of these modern architectures.
Key takeaways
- How to think about observability outcome-first, not data-first, in cloud-native environments.
- Which type of observability data gives the best value for money for a use case
- How to use logs, metrics, and traces to debug and understand your system
Check out Levitate - https://last9.io/levitate-tsdb
Cricket Scale - https://last9.io/cricket-scale
Schedule Demo - https://last9.io/schedule-demo
Thanks https://www.devopsinstitute.com/events/ for recording the video.