Session
Efficient Large Scale Multi-Cloud SaaS Product Observability on k8s – Case Study by JFrog Security
Challenges faced by large scale multi-cloud SAAS application in monitoring/ observability (Jfrog examples )
Why Golden signals are just a starting point , improved contextual monitoring is need of the hour . introduction to a “Framework”
How our organization hardened thresholds to reduce “noise” in alerting
Explaining “You build it you run it” (YBIYRI) process and why does it matter at scale
SLI->SLO and user journey mapping and importance of custom monitors for efficient SLO maturity
Solution -> from disjointed monitoring / dashboards to hardened thresholds and contextually improved monitoring
Next frontiers - MLOPS , model observability , finops Jfrog examples
Final words - how observability impacts overall SAAs health
Arun Prakash p
Cloud operation Architect , JFrog Security
Bengaluru, India
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